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Government agencies are under growing pressure to do more with less. Leaders are expected to improve citizen services, strengthen transparency, respond to changing regulations, and prepare their organizations for AI. As a result, many agencies are exploring Snowflake to support government data modernization, analytics, and AI initiatives. Yet despite growing investment in technology, data often remains fragmented across disconnected systems, spreadsheets, departmental databases, and legacy platforms. 

That challenge is why events like Snowday Columbus 2026 are generating significant interest across the public sector. 

As data, analytics, and AI continue to reshape how government organizations operate, Snowday provides an opportunity for technology and business leaders to learn practical strategies for modernizing data environments, improving decision-making, and building a foundation for responsible AI adoption. 

For state and local government organizations, the conversation is no longer whether data modernization matters. The focus has shifted to how to make it happen effectively. 

Why Government Data Modernization Remains a Top Priority 

Government leaders rely on data to drive everything from budget planning and workforce management to public safety initiatives and constituent services. However, accessing accurate and timely information remains a challenge when data is stored across multiple systems. 

Common obstacles include: 

  • Disconnected operational systems 
  • Time-consuming manual reporting processes 
  • Limited visibility across departments 
  • Inconsistent metrics and reporting standards 
  • Challenges governing sensitive public sector data 
  • Difficulty scaling analytics and AI initiatives 

Without a unified approach to data management, agencies often spend more time collecting information than acting on it. 

Modern data platforms like Snowflake help address these challenges by bringing data together in a secure, governed environment designed to support analytics, reporting, and AI initiatives at scale. This aligns with the growing public sector focus on creating trusted, organization-wide data foundations that improve visibility and decision-making.  

How Snowflake Helps Government Agencies Modernize Data 

Many agencies have already modernized core operational systems. However, valuable information still resides across finance, HR, permitting, licensing, public safety, education, taxation, and citizen service platforms. 

The next step is creating a connected data ecosystem. 

A modern cloud data platform enables agencies to: 

  • Improve Cross-Department Collaboration: When departments operate from a shared data foundation, leaders gain a more complete view of operations, performance, and service outcomes. 
  • Accelerate Reporting: Teams can reduce the effort required to gather, reconcile, and validate information for executive reporting, compliance initiatives, and public transparency efforts. 
  • Strengthen Data Governance: Government organizations can implement consistent security controls, data access policies, and governance standards without sacrificing accessibility. 
  • Support Data-Driven Decision Making: Leaders gain confidence that decisions are based on reliable, timely information rather than fragmented reports created from multiple sources. 

Building an AI-Ready Data Foundation for Government 

AI remains one of the most discussed topics across government organizations today. From improving constituent experiences to identifying operational efficiencies, agencies are exploring where AI can create measurable value. However, successful AI initiatives require more than technology. 

They require: 

  • Trusted data 
  • Strong governance 
  • Secure architectures 
  • Clear business objectives 
  • Scalable analytics capabilities 

Organizations that invest in modernizing and governing their data today are better positioned to take advantage of future AI opportunities. 

Rather than approaching AI as a standalone initiative, leading agencies are treating it as the outcome of a broader transformation strategy that begins with data modernization. 

This theme continues to emerge across public sector conversations as organizations seek practical, sustainable approaches to adopting AI responsibly.  

Public Sector Analytics Trends Government Leaders Should Watch 

  1. Data Modernization Strategies: Learn how agencies are creating trusted, organization-wide data ecosystems that support reporting, analytics, and AI. 
  2. AI Readiness and Responsible Innovation: Explore practical approaches to adopting AI while maintaining governance, transparency, and public trust. 
  3. Advanced Analytics: Discover how agencies are transforming data into actionable intelligence that supports planning, operations, and service delivery. 
  4. Modern Data Architectures: Understand how leading organizations are connecting data across legacy systems, cloud platforms, and enterprise applications. 
  5. Public Sector Success Stories: Hear real-world examples of agencies using modern data platforms to improve efficiency, decision-making, and mission outcomes. 

Why More Government Organizations Are Choosing Snowflake 

Government agencies require a platform that balances innovation with security, governance, and scalability. 

Snowflake has become a popular choice because it helps organizations: 

  • Unify data across departments and systems 
  • Centralize data from multiple sources 
  • Improve access to trusted, governed information 
  • Support agency-wide analytics initiatives 
  • Enable secure, AI-ready environments 
  • Scale analytics without increasing infrastructure complexity 

For organizations looking to move beyond departmental reporting and build enterprise-wide visibility, platforms like Snowflake provide a foundation that aligns with long-term modernization goals. 

Turning Government Data Strategy into Action 

Technology alone doesn’t create transformation. Success comes from aligning data strategy, governance, business objectives, and organizational readiness. 

Government leaders attending Snowday Columbus 2026 have an opportunity to learn from peers, explore emerging technologies, and gain practical insights for modernizing data and analytics environments. Discussions are expected to focus on data modernization, AI readiness, governance, and real-world public sector use cases that demonstrate measurable outcomes. 

Whether your organization is beginning its modernization journey or expanding existing analytics and AI initiatives, one thing is clear: the agencies that establish trusted, connected data foundations today will be best positioned to deliver better services, improve operational performance, and embrace the future of AI with confidence. 

Meet Avaap at Snowday Columbus 2026 

Avaap helps government organizations create secure, governed, and AI-ready data foundations that support measurable outcomes. From data strategy and analytics to Snowflake implementation and optimization, our team works alongside public sector leaders to turn data into a strategic asset.  

As a Snowflake Elite Partner, Avaap brings proven expertise helping government organizations accelerate data modernization, analytics, and AI initiatives. 

If you’re attending Snowday Columbus 2026, connect with our team to discuss your data modernization roadmap and explore practical approaches to analytics and AI adoption.

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For many colleges and universities, Workday serves as the operational backbone for finance, human resources, payroll, planning, and student administration. It modernizes processes and creates a strong foundation for institutional operations. 

As institutions mature in their digital transformation journey, however, leaders often begin asking broader questions: 

  • Which students need support before they disengage? 
  • Which academic programs are driving institutional success? 
  • How should workforce strategies evolve alongside enrollment shifts? 
  • Where should resources be invested to maximize impact? 
  • How can AI support better decision-making? 

Answering these questions requires more than operational data alone. It requires a trusted foundation that connects information across the institution and turns it into actionable insight. 

At EDUCAUSE 2026, one of the most important conversations in higher education is not simply about systems. It’s about how institutions connect data to improve outcomes, strengthen planning, and prepare for the future of analytics and AI. 

Below are six common use cases Avaap sees as institutions look to maximize the value of their Workday investment, connect data across the institution, and support stronger decision-making. 

1. Student Success Analytics and Retention Insights 

Student data often lives across CRM, advising, learning management, financial, and student systems, making it difficult to identify risk factors early and provide proactive support. 

By creating a connected view of the student journey, institutions can gain insights into: 

  • Retention and persistence trends 
  • Student engagement patterns 
  • Financial risk indicators 
  • Advising effectiveness 
  • Opportunities for earlier intervention 

Xavier University: A Student 360 Approach 

Xavier University partnered with Avaap to unify Workday and other institutional data sources, creating a centralized foundation for student persistence analytics. The result was improved visibility into retention trends, reduced manual reporting, and more informed decision-making across student success initiative.

2. Academic Program Performance and Strategic Planning 

Academic leaders need visibility into enrollment, program demand, faculty workload, student outcomes, and financial sustainability. Yet that information often resides across multiple systems. 

A connected analytics foundation supports: 

  • Program demand analysis 
  • Faculty workload planning 
  • Program-level financial insights 
  • Student progression tracking 
  • Future investment decisions 

With a shared source of truth, institutions can spend less time gathering information and more time evaluating strategic opportunities. 

3. Financial Planning, Forecasting, and Executive Reporting 

Boards, presidents, provosts, and CFOs need timely visibility into institutional performance. However, critical information often spans finance, enrollment, workforce, and planning systems. 

Bringing these data sources together helps support: 

  • Budget-to-actual reporting 
  • Multi-year forecasting 
  • Enrollment impact analysis 
  • Strategic planning initiatives 
  • Executive and board dashboards 

This enables leaders to move beyond static reports and make decisions with greater confidence. 

4. Athletics Analytics, Compliance, and Institutional Impact 

Athletics data often spans multiple systems, creating challenges for reporting, compliance, and strategic planning. 

A unified view can support: 

  • NCAA reporting requirements 
  • Title IX reporting 
  • Student-athlete success initiatives 
  • Athletic program analysis 
  • Institutional planning and investment decisions 

Connecting academic, financial, and operational data creates a more complete understanding of athletics’ impact across the institution. 

5. Workforce Analytics and Position Management 

Workforce decisions are increasingly influenced by enrollment trends, budget priorities, and institutional strategy. 

Connecting workforce data with broader institutional information helps leaders better align staffing decisions to organizational needs and supports: 

  • Enrollment-driven workforce planning 
  • Program expansion initiatives 
  • Financial planning efforts 
  • Staffing and vacancy analysis 
  • Long-term institutional strategy 

6. Institutional Benchmarking and Competitive Analysis 

Many institutions are exploring predictive analytics, AI, and intelligent automation. Success begins with trusted, connected, and governed data. 

A modern data foundation can help institutions: 

  • Prepare for AI and machine learning initiatives 
  • Improve data governance and stewardship 
  • Increase confidence in reporting 
  • Reduce manual processes 
  • Support advanced analytics at scale 

As AI adoption accelerates across higher education, institutions with strong data foundations will be better positioned to innovate and realize value from emerging technologies. 

Building the Future of Higher Education Analytics 

The future of higher education analytics is more than reporting. It is about creating trusted insights that support student success, strengthen financial sustainability, improve institutional effectiveness, and prepare institutions for the opportunities AI will bring. 

As colleges and universities continue to modernize operations and maximize technology investments, many are discovering that their greatest opportunities lie not within any single system, but in their ability to connect data across the institution. Finance, HR, student, enrollment, advancement, learning management, and operational data each provide part of the story. Bringing those pieces together creates a clearer picture of institutional performance and supports more informed decision-making.  

At EDUCAUSE 2026, conversations around analytics, data strategy, institutional effectiveness, and AI readiness will continue to evolve. Institutions that can create trusted, connected data ecosystems will be better positioned to improve outcomes, accelerate decision-making, and maximize the value of their technology investments. 

As a Snowflake Elite Partner with deep higher education and Workday expertise, Avaap helps colleges and universities connect data across institutional systems, improve visibility into performance, and build scalable foundations for analytics and AI. Avaap helps institutions move beyond data consolidation to outcomes that matter.  

Attending EDUCAUSE 2026? Connect with Avaap to discuss how leading institutions are using Snowflake and modern data platforms to strengthen planning, advance analytics, and create a foundation for the next generation of AI-enabled innovation.

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As Workday Rising 2026 approaches, higher education institutions and government agencies are looking for new ways to maximize the value of their Workday investment. While AI and digital transformation will be major themes throughout the event, one trend deserves particular attention: the growing connection between Workday and Snowflake. 

For many organizations, Workday serves as the system of record for workforce, finance, and student data. Snowflake complements that role by providing a scalable platform for enterprise analytics, cross-system reporting, and AI-ready data environments. Together, they help organizations move beyond transactional processes and gain deeper insights from their data. 

Why Snowflake and Workday Are Becoming a Strategic Priority for Higher Education and Government 

Workday and Snowflake serve distinct but complementary purposes. 

Workday centralizes critical business and operational data. Snowflake enables organizations to bring together information from Workday and other enterprise systems to support analytics, reporting, planning, and AI initiatives at scale. 

For higher education institutions and government agencies, this integrated approach can help: 

  • Improve student success and retention initiatives 
  • Enhance workforce planning and talent analytics 
  • Strengthen financial planning and forecasting 
  • Create enterprise-wide reporting across multiple systems 
  • Support future AI and advanced analytics initiatives 

As organizations continue to modernize their technology ecosystems, the ability to connect operational data with enterprise analytics is becoming increasingly important. 

What Workday Data Cloud and the Snowflake Partnership Mean for Workday Customers 

Workday continues to expand its vision for a connected data ecosystem through Workday Data Cloud and strategic partnerships that improve access to HR, finance, and operational data for analytics and AI use cases. 

At the same time, Workday and Snowflake have also announced deeper collaboration focused on secure data sharing, enterprise analytics, and AI innovation. 

As these capabilities evolve, higher education and government leaders should pay attention to several key trends: 

  • More secure access to Workday data for analytics and reporting 
  • Reduced reliance on manual exports and disconnected reporting processes 
  • Stronger integration between Workday and broader enterprise data ecosystems 
  • Greater support for advanced analytics, machine learning, and AI initiatives 
  • Increased emphasis on data governance, security, and compliance 

These developments create new opportunities for organizations to generate insights from trusted data while maintaining appropriate governance controls. 

Extending the Value of Workday with Snowflake 

Many organizations are discovering that ERP modernization and data modernization deliver the greatest value when pursued together. 

At Xavier University, Workday implementation and data transformation initiatives were undertaken concurrently. Workday served as the operational system of record while Snowflake unified data from multiple institutional systems into a single analytics platform, helping provide trusted insights and support informed decision-making. 

This approach reflects a broader shift occurring across higher education and government. Rather than relying solely on operational reporting, organizations are building connected data environments that provide a more complete view of students, employees, finances, and organizational performance. 

Key Questions to Ask at Workday Rising 2026 

As you plan your agenda, consider exploring questions such as: 

  • How does our analytics strategy extend beyond standard Workday reporting? 
  • What role should Snowflake play in our long-term data architecture? 
  • How can we better connect Workday data with other enterprise systems? 
  • What data capabilities are needed to support future AI initiatives? 
  • How can we improve access to insights while maintaining governance and security? 

These conversations can help organizations move beyond ERP modernization and develop a more comprehensive data and analytics strategy. 

The Future of Workday Analytics, AI, and Data Strategy 

Workday Rising 2026 will feature discussions about AI, analytics, and the future of work. For higher education and government leaders, one of the most important themes to watch will be how organizations are combining Workday and Snowflake to support better reporting, stronger decision-making, and long-term AI readiness. 

Organizations that establish a connected and well-governed data strategy today will be better positioned to realize the full value of their Workday investment tomorrow. 

As a certified Workday partner and Snowflake Elite Partner, Avaap helps institutions and agencies bridge the gap between operational systems and enterprise analytics by combining Workday expertise with modern data, analytics, and AI capabilities built on Snowflake. 

Heading to Workday Rising 2026? Schedule time to connect with the Avaap team and discuss your Workday, data, analytics, and AI priorities. 

Schedule time to connect

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As higher education leaders prepare to gather at EDUCAUSE 2026, colleges and universities are navigating a rapidly evolving technology landscape shaped by AI, advanced analytics, student success initiatives, and digital transformation efforts. Institutions are balancing enrollment pressures, budget constraints, growing expectations for personalized student experiences, and increasing demands for data-driven decision-making. At the same time, new innovations in AI, analytics, and cloud technology are creating opportunities to improve outcomes while doing more with existing resources. 

The annual EDUCAUSE conference has long served as a barometer for the future of higher education technology, and this year is expected to be no different. Based on conversations across the industry and the priorities we’re hearing from institutions, these are five higher education technology trends Avaap will be watching closely at EDUCAUSE 2026. 

1. AI in Higher Education Moves from Experimentation to Institutional Strategy 

The conversation around AI in higher education has matured significantly. While many institutions spent the past few years testing generative AI tools and developing initial policies, attention is now shifting toward enterprise-wide adoption strategies. 

Rather than asking whether AI should be used, higher education leaders are increasingly focused on questions such as: 

  • How can AI improve the student experience? 
  • Where can AI reduce administrative burden? 
  • What governance structures are needed to ensure responsible use? 
  • How can institutions build trust among faculty, staff, and students? 

We are seeing growing interest in how AI can help institutions address workforce challenges, improve student support, strengthen decision-making, and streamline administrative operations.  The institutions making the most progress aren’t necessarily the ones deploying the most AI tools. They are the ones aligning AI initiatives with strategic goals, governance frameworks, and measurable outcomes. 

At EDUCAUSE 2026, we expect many conversations to focus on practical AI implementation, governance, and value realization rather than experimentation alone. 

2. Student Success Technology and Predictive Analytics Become More Proactive 

Student success remains central to institutional strategy, but the technologies supporting learners are becoming increasingly sophisticated. We also know that as staffing constraints continue across higher education, institutions are also looking for ways to scale student support without sacrificing personalization.  Colleges and universities are moving beyond retrospective reporting and toward predictive models that help identify potential risks before they impact retention and completion. By combining academic, enrollment, financial, and engagement data, institutions can gain earlier insight into student needs and intervene more effectively. 

Technology leaders are increasingly partnering with enrollment management, academic affairs, and student services teams to answer questions such as: 

  • Which students may need additional support? 
  • What factors influence persistence and completion? 
  • How can interventions be personalized at scale? 
  • What data can help improve student outcomes? 

The next generation of student success technology will be driven less by dashboards alone and more by actionable insights that help institutions make timely, informed decisions. Institutions that can connect data with proactive intervention strategies will be better positioned to improve student outcomes and advance institutional goals. 

3. Higher Education Data Strategy Powers Analytics and AI 

Many colleges and universities have invested heavily in analytics over the past decade. However, as AI and advanced reporting become more prevalent, institutions are discovering that success depends on the quality, accessibility, and governance of their underlying data. Higher education leaders increasingly recognize that fragmented data systems limit their ability to generate trusted insights, support AI initiatives, and make informed institutional decisions. As a result, there is growing emphasis on creating trusted data foundations that connect information across the institution. 

At EDUCAUSE 2026, we expect discussions around: 

  • Data governance and stewardship 
  • Enterprise data strategies 
  • Modern analytics platforms 
  • Institutional data literacy 
  • Cross-functional reporting and planning 

Strong data foundations are becoming a prerequisite for both effective analytics and responsible AI adoption. Institutions that invest in data quality, governance, and integration will be better positioned to support innovation, improve decision-making, and maximize the value of future technology investments. 

 4. Digital Transformation Focuses on Institutional Agility 

Higher education leaders continue to face significant workforce and budget pressures. Many institutions are being asked to deliver the same level of service, or more, with limited staffing and resources. 

This reality is accelerating interest in modernizing administrative operations across finance, human resources, payroll, grants management, procurement, and student services. 

Cloud platforms, automation tools, and streamlined business processes are helping institutions improve operational efficiency while creating better experiences for employees and students alike. 

However, modernization is no longer simply about replacing legacy systems. Institutions are increasingly focused on maximizing the value of their technology investments through: 

  • Process optimization 
  • Change management 
  • User adoption strategies 
  • Cross-department collaboration 
  • Continuous improvement 

The conversation is shifting from simply deploying technology to maximizing adoption, outcomes, and long-term value realization. Institutions are looking beyond implementation milestones and focusing on sustainable transformation that delivers measurable business and academic impact. 

5. Workforce Readiness, AI Literacy, and Digital Skills Remain Critical 

Technology alone cannot transform an institution. People remain the most important factor in successful digital transformation. 

As AI, analytics, and cloud technologies become more embedded in daily operations, colleges and universities are working to build new skills across their workforce. Technology leaders are recognizing that long-term success requires more than deploying new tools. It requires helping faculty, staff, and administrators understand how to use them effectively. 

Institutions are increasingly investing in: 

  • AI literacy programs 
  • Professional development 
  • Data literacy training 
  • Digital fluency across campus 

The goal is to create a culture where technology supports institutional priorities rather than becoming another layer of complexity. 

At EDUCAUSE 2026, we expect workforce readiness to remain a key topic as institutions explore how to prepare employees for an increasingly technology-enabled future and ensure their investments in technology translate into meaningful outcomes. 

Why These Higher Education Technology Trends Matter in 2026 

While each of these trends may seem distinct, they share a common theme: institutions are searching for ways to connect technology investments with measurable outcomes. Whether the focus is AI adoption, student success, data strategy, operational efficiency, or workforce development, higher education leaders are seeking practical approaches that support their mission while navigating ongoing financial, demographic, and operational pressures. 

The conversations at EDUCAUSE 2026 will likely highlight a common reality facing institutions: technology alone is not the goal. Success depends on aligning people, processes, data, and technology to advance institutional priorities and improve outcomes for students, faculty, and staff.  Many institutions are looking for ways to increase institutional capacity, improve decision-making, and better support students and employees without significantly increasing resources.   

As EDUCAUSE 2026 approaches, we look forward to engaging with higher education leaders about the opportunities and challenges shaping the future of higher education technology. 

Heading to EDUCAUSE 2026? We’d enjoy comparing notes on the challenges and opportunities higher education leaders are navigating today and discussing what’s next for our institutions.   

Schedule Time to Connect

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Workday Rising 2026 arrives at a time when higher education institutions and government agencies are balancing growing expectations, limited resources, and increasing pressure to modernize. While the event will showcase the latest developments in AI, analytics, finance, and human resources, the most valuable conversations will focus on how organizations can turn technology investments into meaningful outcomes. 

As organizations continue to navigate transformation, leaders are focused on more than implementing new systems. They are looking for ways to improve experiences, strengthen decision-making, increase efficiency, and prepare their organizations for the future. With those priorities in mind, here are five areas worth watching at Workday Rising 2026. 

1. Practical Applications of Workday AI 

AI will be one of the most talked-about topics at Workday Rising 2026, but the most valuable conversations will focus on practical application rather than possibility alone. 

For higher education and government leaders, the question is not simply what Workday AI can do. It is how AI can help teams work more effectively, strengthen decision-making, reduce administrative burden, and improve service delivery. The most valuable sessions will likely connect AI innovation to measurable outcomes, responsible adoption, governance, and workforce readiness. 

As organizations evaluate AI, leaders should look for examples that show how technology can support people, not replace the strategy, judgment, and institutional knowledge that make transformation successful. 

2. Data, Analytics, and Decision-Making 

AI and automation are only as strong as the data behind them. That makes data strategy one of the most important themes for higher education and government organizations attending Workday Rising 2026. 

Many institutions and agencies have made significant progress in modernizing core systems, but still face challenges with disconnected data, manual reporting, and limited visibility across departments. Workday analytics, enterprise reporting, and connected data strategies will remain important areas of focus as leaders look for ways to turn operational data into actionable insight. 

Across higher education and government, leaders are relying on trusted data to support priorities such as: 

  • Student success and retention 
  • Workforce planning and talent management 
  • Financial performance and budget planning 
  • Constituent and service delivery outcomes 
  • Future AI and analytics initiatives 

Trusted data is increasingly becoming the foundation for organizational agility, operational visibility, and long-term decision-making. 

3. From Workday Implementation to Continuous Improvement 

For many organizations, digital transformation does not end at go-live. The next phase is often where the greatest opportunities emerge through continuous improvement, stronger adoption, more effective governance, and ongoing optimization. 

Workday Rising 2026 will be an opportunity to learn how organizations are extending the value of their Workday investment long after implementation. The most successful organizations are not asking, “Did we go live?” They are asking, “How do we continue to improve, adapt, and create value?” 

4. Learning from Peer Organizations 

One of the most valuable aspects of Workday Rising is the opportunity to learn from organizations that have already navigated similar transformation efforts. 

Peer-led discussions often offer practical insights into organizational change, stakeholder alignment, lessons learned, and the realities of transformation in practice. The best ideas frequently come from organizations willing to share not only what worked, but what they would do differently. 

5. Preparing for the Future of Digital Transformation 

The most successful organizations are building adaptable foundations that allow them to evolve as new opportunities emerge.  

For leaders attending Workday Rising 2026, the opportunity is to connect what they learn at the event to a broader vision for the future. Common priorities include: 

  • Strengthening operational efficiency 
  • Modernizing finance and HR processes 
  • Improving employee and student experiences 
  • Advancing analytics and decision-making capabilities 
  • Building readiness for emerging technologies such as AI 

Organizations that pair innovation with strong governance, clear objectives, and intentional change management are often best positioned for long-term success. 

Key Questions to Ask Before Workday Rising 2026 

Before arriving in Las Vegas, leaders may want to consider the following questions: 

  1. How can AI support our organization’s mission and priorities? 
  1. Where can we improve reporting, analytics, and data-driven decision-making? 
  1. How are peer organizations maximizing the value of Workday? 
  1. What opportunities exist to improve adoption, efficiency, and user experience? 
  1. How should our technology roadmap evolve over the next three to five years? 

Making the Most of Workday Rising 2026 

Workday Rising 2026 will undoubtedly introduce new ideas and technologies. But the organizations that realize the greatest value will be those that use the event as an opportunity to evaluate their long-term strategy, learn from peers, and identify practical steps that move their mission forward. 

Ultimately, success will not be defined by adopting every new innovation. For higher education institutions and government agencies, it will be defined by making thoughtful investments that advance their mission, strengthen decision-making, and deliver lasting value for the people and communities they serve. 

Heading to Workday Rising 2026? Schedule time to connect with the Avaap team and discuss your priorities for the year ahead.

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Twice a year, Workday delivers feature releases designed to enhance functionality, improve user experience, and help organizations get more value from their technology investment. While these updates bring exciting opportunities, they also require planning, testing, and coordination to ensure a smooth transition. 

The Workday 2026 R2 release is quickly approaching, with preview tenants refreshing in August and production deployment scheduled for September. Organizations that start planning early can reduce risk, streamline testing efforts, and take advantage of new features with greater confidence. 

Whether you’re responsible for Workday HCM, Financials, Payroll, Reporting, Security, or Integrations, now is the time to assess your readiness for the upcoming release. 

Workday 2026 R2 Release Dates: Key Milestones You Can’t Afford to Miss 

A successful Workday release starts with understanding the timeline. The 2026 R2 release includes several important milestones that should be on every administrator’s radar: 

  • August 7, 2026: Feature release documentation becomes available 
  • August 15, 2026: Preview tenant refresh 
  • August 15 – September 19, 2026: Release preparation and testing window 
  • September 19, 2026: Production release 

These dates provide a valuable opportunity to review upcoming changes, validate critical business processes, and ensure your organization is ready before the production release arrives. 

How to Prepare for the Workday 2026 R2 Release Before Your Preview Tenant Refresh 

The most effective Workday release strategies begin long before the preview tenant is updated. Early preparation gives teams more time to identify potential impacts, assign responsibilities, and build a structured testing plan. 

Consider these questions: 

  • Which areas of Workday are most critical to your organization? 
  • Which teams should participate in testing? 
  • Are there key business processes, reports, or integrations that require special attention? 
  • What communications and change management activities may be necessary? 

Answering these questions upfront can help create a smoother release experience and reduce last-minute surprises. 

What to Review Before Workday 2026 R2 Arrives 

When release documentation becomes available, focus on understanding what matters most to your organization. 

1. Review Potential Impacts Early 

One of the first priorities in any Workday release cycle is understanding which changes matter most to your organization. 

When release information becomes available, take time to understand: 

  • Which features may affect your organization 
  • Whether new functionality requires configuration decisions 
  • Potential impacts to reporting, security, or integrations 
  • Change management and communication needs 

Early visibility allows teams to prioritize testing efforts and allocate resources appropriately. 

2. Make Preview Testing a Priority 

Your preview tenant is the best opportunity to validate critical business processes before production deployment. 

Testing should focus on areas such as: 

  • Core business processes 
  • Security configurations 
  • Reporting and analytics 
  • Integrations 
  • Functional workflows used by key stakeholders 

A structured testing strategy can help identify issues before they affect end users. 

3. Don’t Overlook Existing Configuration Issues 

Many release-related challenges aren’t caused by new features at all. They’re often tied to existing configuration, reporting, or security issues that surface during the release process. 

Before production deployment, organizations should review critical areas of their tenant and address any outstanding exceptions or inconsistencies. 

Common Workday Release Preparation Mistakes That Lead to Last-Minute Issues 

Even experienced Workday teams can run into challenges when release preparation takes a back seat to day-to-day priorities. 

Some of the most common mistakes include: 

  • Treating testing as a last-minute activity instead of an ongoing process 
  • Focusing exclusively on new features instead of overall release readiness 
  • Not involving key stakeholders in the testing process 
  • Underestimating the impact on reports and integrations 
  • Delaying change management and user communication efforts 

Avoiding these pitfalls can significantly reduce stress as release day approaches. 

Workday Release Readiness Starts with the Right Checklist 

Successful release preparation relies on consistency. Rather than approaching each release from scratch, leading organizations use a repeatable process that includes planning, testing, validation, communication, and post-release review. 

Having a comprehensive Workday release checklist helps ensure critical tasks aren’t missed and provides a clear roadmap for administrators, functional teams, and business stakeholders. 

The challenge isn’t knowing that preparation matters. It’s knowing exactly what should happen before preview, during testing, and after production deployment. 

What’s Included in Avaap’s Workday 2026 R2 Release Preparation Guide? 

To help organizations navigate the upcoming release, Avaap has created a comprehensive Workday 2026 R2 Release Preparation Guide. 

Inside, you’ll find: 

  • Key release milestones and planning dates 
  • Production readiness recommendations 
  • Preview testing guidance 
  • Administrator audit checkpoints 
  • Post-release best practices 
  • Actionable checklists to support your release planning process 

Whether this is your first Workday release or your tenth, the guide provides practical recommendations to help your team prepare with confidence. 

Download the Complete Workday 2026 R2 Release Preparation Guide 

The Workday 2026 R2 release is coming quickly. The organizations that achieve the smoothest deployments are often the ones that begin planning early, test thoroughly, and follow a structured readiness process. 

Download Avaap’s Workday 2026 R2 Release Preparation Guide to help your team plan ahead, reduce risk, and approach the September release with confidence.

Download the Guide 

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Student transcripts are one of the most visible academic records an institution produces. They carry institutional brand, academic policy, student history, transfer work, GPA, credits, and degree progress in a format that must be accurate, professional, and trusted. 

But as institutions add programs, campuses, policies, and student populations, maintaining transcript formats can become increasingly complex. Registrar teams need flexibility to meet unique institutional requirements without adding manual effort or creating long-term maintenance challenges. 

For institutions using Workday Student, transcript generation plays an important role in student service, academic record management, and registrar operations. 

Why Transcript Requirements Continue to Evolve in Higher Education 

Transcript requirements vary widely across institutions. Some institutions need transcripts that reflect unique academic structures, while others require specific formatting standards, branding elements, transfer credit presentations, or policy-driven academic record displays. As institutions grow and adapt, transcript formats often need to support new programs, campuses, and student populations. 

As institutions balance student service expectations, administrative efficiency, and evolving academic requirements, transcript flexibility has become an important consideration within broader student records and registrar operations. 

Supporting Institution-Specific Transcript Design in Workday Student 

Official transcripts represent more than academic data. They are institution-facing and student-facing documents that communicate academic achievement and reflect institutional standards. 

Many institutions require transcripts that support:

  • Institution-specific branding 
  • Academic history presentation 
  • GPA and credit information 
  • Transfer coursework details 
  • Program-specific requirements 
  • Policy-driven formatting standards 

One approach institutions may consider is separating transcript data, design, and generation logic rather than tightly coupling transcript formatting to development activities. This allows transcript layouts and formatting to be maintained independently from the underlying student data, providing greater flexibility to support official transcript formats while reducing the need for extensive redevelopment over time. 

Transcript Design Is Not a One-Time Decision 

Transcript formats are not static. As institutions add programs, update academic policies, expand campuses, adjust transfer credit rules, or refine branding standards, official transcript requirements may need to evolve as well. 

For Registrar and student records teams, the challenge is not only creating to evolve as well. 

For Registrar and student records teams, the challenge is not only creating an accurate transcript today. It is maintaining a transcript format that can adapt over time without creating unnecessary manual effort, technical dependency, or redevelopment burden. 

A more flexible transcript generation approach gives institutions a better foundation for long-term transcript governance, helping ensure official academic records remain accurate, professional, and aligned with institutional standards as requirements change. 

What Institutions Need from Modern Transcript Generation in Workday Student 

Transcript generation is about more than producing a document. It is part of a broader process that includes: 

  • Flexibility to support institution-specific transcript designs  
  • Consistent, official-quality PDF output  
  • Clear separation between transcript data and transcript layout  
  • Reduced manual formatting and review  
  • Easier updates as policies, programs, and requirements change  
  • A Workday-aligned approach that preserves Workday as the source of truth 
  • A coordinated approach to transcript generation can help institutions support consistency across transcript output while creating processes that are easier to maintain as requirements evolve. 

Creating Professional, Official Transcript PDFs 

Official transcript PDFs play an important role in how students, alumni, employers, and academic institutions interact with academic records. 

Transcript formats often need to balance accuracy, consistency, readability, institutional branding, and academic record integrity while presenting information clearly and professionally. 

Improving Registrar Efficiency Through Streamlined Transcript Processes 

Registrar teams manage a wide range of responsibilities that directly impact the student experience. Transcript requests, transcript preparation, and transcript oversight represent important components of that work. 

Institutions frequently look for opportunities to reduce time spent on: 

  • Manual transcript formatting 
  • Transcript preparation activities 
  • Document review processes 
  • Administrative transcript management 

Creating more streamlined transcript processes can help registrar teams focus on high-value student service activities while supporting consistent transcript output across the institution. 

Supporting a Better Student and Alumni Experience 

Transcript requests are an important service provided by registrar offices. Students and alumni expect efficient access to academic records and a consistent experience throughout the request process. 

A modern transcript experience should help support: 

  • Clear request processes 
  • Timely document delivery 
  • Consistent communication 
  • Visibility into request status 
  • Reliable access to academic records 

By creating more streamlined transcript workflows, institutions can support efficient service delivery while improving the overall experience for students and alumni. 

How Workday Extend Supports Flexible Transcript Generation 

Workday Extend allows institutions to build targeted solutions that work within the Workday ecosystem while keeping Workday as the system of record. 

For transcript generation, this creates an opportunity to support institution-specific transcript design without relying solely on heavy custom report development. A Workday Extend-based approach can help institutions separate transcript data from transcript layout and generation logic, making it easier to maintain official transcript formats as requirements evolve. 

This approach can support: 

  • Academic data sourced from Workday  
  • Tailored transcript layouts and formatting  
  • Consistent, professional PDF generation  
  • Greater flexibility as institutional policies, programs, and branding needs change  
  • A Workday-aligned framework for registrar and student records teams  

By using Workday Extend, institutions can preserve the integrity of Workday data while gaining additional flexibility to create transcript outputs that reflect their unique academic structure and standards. 

For institutions using Workday Student, the goal is not simply to generate a transcript. The goal is to create an official, professional document that reflects institutional requirements, is easier for Registrar teams to maintain, and supports a consistent experience for students and alumni as needs evolve. 

A Flexible Framework for Transcript Generation in Workday Student 

Avaap’s Transcript Manager was developed to help institutions create professional, institution-specific transcript PDFs using academic data from Workday. 

Built on Workday Extend, the solution separates transcript data, design, and generation logic so institutions can maintain official transcript formats with greater flexibility and less reliance on heavy custom redevelopment. 

For Registrar teams, this means less manual formatting and review. For students and alumni, it supports faster, more consistent service. For institutions, it provides a scalable way to meet unique transcript requirements while staying aligned with Workday. 

Looking for a more flexible approach to transcript design and generation in Workday Student? Connect with Avaap to learn more about Transcript Manager.

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Modernizing data and analytics is a priority for state and local agencies. As organizations look to reduce operational burden, improve security, and scale analytics, Tableau Cloud migration is becoming a key initiative. 

Many agencies and even entire states are evaluating how to migrate Server to Tableau Cloud while maintaining access to critical data and minimizing disruption. 

This guide provides a clear, practical overview of what the migration process looks like, along with the benefits and considerations for public sector teams. 

What is Tableau Cloud Migration and What Does it Involve? 

Tableau Cloud migration is the process of moving analytics assets from an on-premises Tableau Server environment to a fully managed cloud platform. 

This includes: 

  • Dashboards and workbooks 
  • Data sources and connections 
  • Users and permissions 
  • Governance and security configurations 

The goal is not just to move content, but to modernize how analytics are managed, accessed, and scaled across the organization. 

Why State and Local Agencies Are Moving to Tableau Cloud 

For public sector organizations, maintaining legacy analytics infrastructure can limit scalability and efficiency. 

Tableau Cloud offers a modern alternative by enabling agencies to: 

  • Scale analytics without infrastructure constraints 
  • Reduce the burden of system maintenance and upgrades 
  • Enable secure data sharing across departments 
  • Provide broader access to data for decision makers 

By shifting to a cloud-based analytics platform, agencies can focus less on managing systems and more on delivering insights that support mission outcomes. 

Common Challenges in Tableau Cloud Migration 

While the benefits are clear, migration from Tableau Server to Tableau Cloud requires careful planning. 

Common challenges include: 

  • Identifying and organizing existing dashboards, users, and data sources that NEED to be migrated 
  • Cleaning up Tableau content that is no longer necessary 
  • Configuring source data connections in the most effective and secure manner 
  • Managing the migration process without disrupting users 
  • Proper user communication messaging and timing 
  • Ensuring embedded external content is properly repointed after migration 
  • Validating that dashboards function properly after migration 

For larger or more complex environments, these steps can introduce risk if not approached in a structured way. 

A Practical Approach to Tableau Cloud Migration 

A successful Tableau Cloud migration strategy follows a structured process designed to reduce risk and maintain continuity. 

1. Assess your current environment 

Understand your existing analytics landscape, including users, dashboards, and data dependencies. Identify stale or unused content to ensure a clean start in your cloud environment. 

2. Plan the migration 

Develop a clear roadmap that defines timelines, testing strategy, communications, and cutover planning. 

3. Execute the migration 

Move users, content, and data sources in a controlled and structured way that minimizes disruption. 

4. Test and validate 

Ensure dashboards, permissions, and data connections to perform as expected. 

5. Support post go-live adoption 

Monitor performance and provide support to ensure a smooth transition for users. Maintain an open line of communication. 

This approach helps maintain access to critical data while minimizing disruption during the migration process. 

How to Minimize Risk During Cloud Migration 

For public sector teams, minimizing disruption and maintaining trust is critical. 

Best practices include: 

  • Communicating clearly with stakeholders throughout the process 
  • Establishing realistic timelines and expectations 
  • Testing thoroughly before go-live 
  • Planning for a controlled transition from server to cloud 

A structured and transparent approach ensures that users experience little to no disruption. 

Prepare for Your Tableau Cloud Migration 

If Tableau Cloud is on your roadmap, understanding what a successful migration looks like is an important next step. 

In our upcoming webinar, Avaap and Tableau will walk through: 

  • The end-to-end Tableau Cloud migration process (including timeline expectations) 
  • What to expect during each phase of migration 
  • Best practices to reduce risk and disruption 
  • Lessons learned from working with public sector organizations 
Register for the webinar 

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Snowflake’s fully elastic, consumption-based platform enables organizations to rapidly scale data, analytics, and AI. However, this same flexibility can lead to unexpected costs if governance is not intentionally designed into the platform. 

Many organizations encounter cost challenges not because Snowflake is inherently expensive, but because cost governance is introduced too late. Warehouses may run longer than necessary; workloads may compete for shared resources, and visibility into consumption may be limited across teams. As a result, organizations struggle to forecast spend, enforce budgets, and explain costs. 

Improving Snowflake cost predictability requires a deliberate approach that combines cost observability, governance, and architecture. 

Why Snowflake Costs Become Unpredictable 

Snowflake meters compute, storage, and cloud services independently, and compute resources can scale instantly. This design provides flexibility, but it also shifts responsibility for cost management to how the platform is used and structured. 

In Snowflake environments, cost variability is often driven by: 

  • Warehouses running longer than needed 
  • Shared environments supporting multiple workloads 
  • Limited visibility into usage patterns 
  • Lack of clear accountability across teams 
  • Consumption of AI and ML features without structured monitoring 

Without intentional governance, these patterns can make costs difficult to manage and predict over time. 

What Is Snowflake Cost Predictability? 

Snowflake cost predictability is the ability to make platform consumption transparent, controlled, and aligned to business needs. 

This requires: 

  • Cost observability: Visibility into usage across warehouses, roles, and workloads 
  • Governance by design: Controls embedded directly into the platform architecture 
  • Cost controls: Guardrails that prevent unintentional overspend 
  • Clear accountability: Mapping usage to teams, roles, and business functions 

Most importantly, these capabilities must be built into the platform from the start rather than added after costs become difficult to manage. 

Cost Observability: Measuring Before Managing 

The first step in governing Snowflake costs is visibility. Organizations cannot manage what they cannot see. 

Snowflake provides usage and telemetry data that can be used to track consumption, including: 

  • Credit usage by warehouse, role, and query 
  • Storage usage and growth 
  • Query runtime and activity patterns 
  • AI and advanced feature consumption 

By centralizing and structuring this data, organizations can: 

  • Identify which workloads drive costs 
  • Understand how usage changes over time 
  • Detect anomalies and unexpected spikes 
  • Provide stakeholders with clear cost insights 

Well-designed dashboards turn usage data into actionable insight and enable proactive cost management. 

Managing AI and Advanced Workload Costs 

AI and ML capabilities introduce additional cost considerations because they are event-driven and can be embedded directly within queries or applications. 

To improve cost predictability, organizations should: 

  • Separate AI usage from standard compute reporting 
  • Track usage by role, user, and application 
  • Monitor invocation frequency and cost behavior 
  • Identify repeated or unnecessary processing 
  • Apply alerts for unusual usage patterns 

Tagging AI-related resources with metadata such as cost center, environment, and application enables precise cost attribution and supports governance. 

Governance by Design: Building Predictability into the Platform 

The most effective Snowflake environments embed governance directly into the platform architecture. 

A governance-by-design approach includes: 

  • Standardized warehouse provisioning with consistent configurations 
  • Role-based access controls to prevent misuse of compute resources 
  • Mandatory tagging for cost tracking and accountability 
  • Validation during deployment to enforce standards before changes go live 

By embedding governance into how the platform is built and managed, organizations reduce manual oversight and improve consistency across environments. 

Common Snowflake Cost Anti-Patterns 

Certain patterns consistently lead to unpredictable costs in Snowflake environments: 

  • Using a single shared warehouse for multiple workloads 
  • Running oversized warehouses without usage-based sizing 
  • Lack of tagging and cost attribution 
  • Missing resource monitors or budget thresholds 
  • Embedding AI workloads into general analytics queries 
  • Relying on manual governance processes 

Addressing these patterns improves both cost control and overall platform stability. 

A More Effective Approach to Cost Control 

Improving Snowflake cost predictability requires a coordinated approach across: 

  • Observability to understand how the platform is used 
  • Native controls to enforce budgets and limits 
  • Governance embedded in architecture and processes 
  • Workload isolation to improve accountability and transparency 

When these elements are aligned, organizations can manage costs proactively rather than reacting after spend has already occurred. 

Take Control of Snowflake Costs 

Snowflake costs can be made predictable when governance, observability, and architecture work together. 

By treating cost as an architectural consideration, organizations can build a platform where consumption is transparent, controlled, and aligned to business priorities. 

Download the whitepaper to learn how to design for Snowflake cost predictability from day one. 

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Higher education institutions are under increasing pressure to improve student outcomes while navigating complex data environments. 

Many assume they must complete their Workday implementation before addressing data modernization, analytics, or student retention initiatives. 

Xavier University is proving otherwise. 

By modernizing its data environment in parallel with its Workday rollout, Xavier accelerated its student success strategy and established a scalable foundation for long-term impact. 

The Challenge: Limited Visibility Slowed Proactive Student Support 

Like many institutions, Xavier University was committed to improving retention and graduation outcomes but faced challenges due to fragmented data systems. 

Before this initiative: 

  • Student data lived across multiple systems and reports 
  • Advisors lacked visibility into academic, financial, and engagement indicators 
  • Faculty and staff had to piece together a student’s full experience 
  • Leadership lacked a unified, real-time view of persistence trends 
  • Evaluating outreach effectiveness required manual analysis 

As a result, student success teams relied heavily on manual reporting processes, limiting their ability to act quickly and proactively. 

A Strategic Start: Aligning Around Data-Driven Student Success 

Xavier partnered with Avaap’s Data, Analytics, and AI team to define a shared vision for data-driven student success. 

Over two months, the team established a strong foundation through: 

  • A current-state assessment of data and reporting processes 
  • More than 40 stakeholder interviews across eight departments 
  • Documentation of institutional goals and priorities 
  • Alignment on a long-term analytics strategy 

This work ensured the solution would address immediate needs while supporting future innovation. 

The Approach: Modernizing Data in Parallel with Workday 

Rather than taking a sequential approach, Xavier advanced data modernization alongside its Workday implementation. 

This allowed the university to: 

  • Deliver insights earlier in the transformation process 
  • Avoid delays associated with waiting for a fully mature ERP 
  • Establish a strong data foundation while systems were evolving 

As Xavier CIO Sheri Thomas shared: 

“By modernizing our data in parallel with our Workday implementation, Xavier was able to accelerate our student success strategy. Using Snowflake to unify Workday data with other critical sources enabled our first student persistence analytics capabilities, delivering immediate value and empowering leaders to support students proactively.” 

The Solution: A Unified Platform for Student Retention Analytics 

Working together, Avaap helped Xavier implement a modern data environment designed to support proactive student success. 

Centralized Data Platform 

  • A Student 360 data model brings together data from across the institution 
  • Expanding Workday integrations strengthen the connection between systems and analytics 

Automated Data Processing 

  • Alteryx automates data preparation 
  • Manual reporting processes are significantly reduced 

Interactive Analytics and Dashboards 

  • Tableau dashboards provide intuitive, interactive visualization 
  • Insights are accessible to both advisors and leadership 

Supporting Advisors with Timely, Actionable Insight 

The platform enables student success teams to evaluate patterns across key indicators: 

  • Academic performance 
  • Financial indicators 
  • Student engagement signals 
  • Enrollment and progression patterns 

With frequently updated data, advisors can: 

  • Identify students who may need additional support 
  • Search and filter students by ID, major, cohort, or indicators 
  • Understand enrollment patterns and term-to-term progress 

This reduces time spent gathering information and increases time spent supporting students. 

Enabling Strategic Decision-Making for Leadership 

In addition to supporting advisors, the platform provides leadership with a strategic view of student success. 

Leaders can: 

  • Monitor persistence and enrollment trends across cohorts 
  • Identify patterns across academic, financial, and engagement indicators 
  • Evaluate the effectiveness of student success initiatives 
  • Inform institutional planning and investment decisions 

The Results: Earlier Intervention and Stronger Outcomes 

Xavier now has a modern analytics platform that enables more proactive and informed decision-making. 

Key outcomes include: 

  • Earlier student support through improved visibility into student needs 
  • More effective advisor time with less effort spent on manual reporting 
  • Institution-wide visibility into persistence trends 
  • Reduced manual reporting through automation 
  • A foundation for future innovation across admissions, student success, and planning 

What’s Next: Expanding the Impact of Analytics 

The Undergraduate Student Persistence Analytics platform represents the first step in a broader vision for data-enabled decision-making. 

Future opportunities include: 

  • Evaluating the effectiveness of student support initiatives 
  • Expanding insights for admissions and enrollment teams 
  • Supporting academic departments with program-level analytics 
  • Continuing to integrate new data sources through Workday and Snowflake 

Together, these efforts are helping Xavier create a more connected, proactive student success ecosystem. 

What Higher Ed Leaders Can Learn 

Xavier’s experience reinforces a key takeaway: 

Data modernization and Workday transformation do not need to happen sequentially. With the right approach, they can progress together to deliver faster, more meaningful results. 

Institutions can begin building retention analytics capabilities even without fully mature data environments when they focus on collaboration, practical progress, and scalable architecture. 

Join the Webinar: See the Approach in Action 

Want to learn how to apply this approach at your institution? 

In the upcoming webinar, Scaling Student Success: Advancing Snowflake and Workday in Parallel, you’ll hear directly from: 

  • Sheri Thomas, AVP and Chief Information Officer, Xavier University 
  • Kimberly Moore, VP of Student Affairs and Chief Success Officer, Xavier University 
  • Annaleah Morrow, Ph.D., VP of Customer Success, Avaap 

You’ll walk away with: 

  • Practical steps to advance student retention analytics during an active Workday transformation 
  • Guidance on structuring a collaborative data initiative 
  • Approaches for navigating data quality challenges 
  • Insights into how cloud platforms like Snowflake support scalable data foundations 

Save your spot to explore how Xavier is advancing student success with modern data. 

Register for the Webinar