Data engineering integrates discrete, diverse data systems together so end systems can derive value. At a high level, data engineering is moving data from one location to another. The health of a data information system is subject to the rigidity and health of the data engineering process. Through complementary software
When an organization begins a change initiative and employees are required to change the way they do their job, there is often an effect on the way in which people behave in the workplace. Organizational change management is designed to mitigate disruption and minimize negative outcomes. Proper change management bridges
Wondering how to get ready for your Workday deployment? When it comes to implementing Workday, the number one question we get asked is where have you done this before? Download this eBook for a series of insights and lessons learned from organizations that are on their Workday journey. Gain advice
Law enforcement agencies are under pressure to adhere to consent decree agreements, but this can be a time-consuming, resource-intense, and expensive process that can have measurable impact on the ability to improve public safety. Being able to access, analyze, and report on consent decree data can help law enforcement leaders
Historically higher ed institutions have struggled to capture, access, understand, and report on their data to achieve performance goals such as enrollment, retention, and student success. Attendees learned how Tableau makes it simple to visualize key performance metrics, such as enrollment data to understand trends, patterns, and potential challenges that impact
Data is a critical asset for all organizations. Managing data and using it to gain business insights is essential for strategic advantage. Data warehouses and data lakes are both popular approaches to data storage, but the definitions, uses, and strategies for each can be blurred. This webinar answers what’s the
The force of the pandemic brought significant change to work habits, regulations, supply chains and business models. Many organizations now find their existing structure and ways of operating inadequate for today’s environment. This session explores the way work has changed and how change management and organization design have impacted digital
Predictive analytics with machine learning (ML) is growing rapidly across organizations of all sizes. However, many organizations face the same challenge when approaching applied ML: Big Data. When data becomes excessively large, developing and automating an ML workflow can feel like an impossible task. Fortunately, the key to success is
When approaching a project with a change management approach, it is vital to measure change
readiness, willingness to learn and adapt, and ability to effectively adopt change.
Leaders from Joliet Junior College and Salt Lake City share why they chose Workday and describe their deployment journeys. This session explores the digital transformation considerations that impact all levels of an institution or organization.