Delivering High Value Analytics

Within the last decade, the public view of data has undergone a transformation. The outdated association of secluded employees hunched over a computer, scrolling through rows of mind-numbing numbers in Excel spreadsheets, has been replaced with high-priced answers delivered by a recent doctoral grad derived from beautifully written complex code in convoluted software.

Empowering stakeholders to play a role is challenging. The modern business intelligence and data analytics industry is filled with complex buzzwords, software options, and sensitive language syntax, often leading to unhappy customers and lack of return on investment for data-driven initiatives.

Download this resource to learn how organizations eager to derive data insights can hook skeptical end users and deliver high value solutions.

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Delivering High Value Analytics

What You Need to Know

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Predicting Growth at Scale with Machine Learning

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...

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Within the last decade, the public view of data has undergone a transformation. The outdated association of secluded employees hunched over a computer, scrolling through rows of mind-numbing numbers in Excel spreadsheets, has been replaced with high-priced answers delivered by a recent doctoral grad derived from beautifully written complex code in convoluted software.

Empowering stakeholders to play a role is challenging. The modern business intelligence and data analytics industry is filled with complex buzzwords, software options, and sensitive language syntax, often leading to unhappy customers and lack of return on investment for data-driven initiatives.

Download this resource to learn how organizations eager to derive data insights can hook skeptical end users and deliver high value solutions.