Digital Transformation Measurement Prescriptive Analytics Statistics 
Rocket-Powered Data Science
MARCH 19, 2021
The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.
CIO Business Intelligence
JUNE 7, 2022
The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.
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Smarten
MAY 29, 2023
World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If
Sisense
SEPTEMBER 12, 2019
A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . And it can do the same for you. But what is a BI strategy in today’s world? The question is, what are you doing with it?
Andrew White
JANUARY 11, 2021
See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025. measuring value, prioritizing (where to start), and data literacy? See: Tool: A Living Library of Real-World Data and Analytics Use Cases.
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