Digital Transformation Predictive Analytics Predictive Modeling 
CIO Business Intelligence
FEBRUARY 6, 2025
Even basic predictive modeling can be done with lightweight machine learning in Python or R. By embracing a pragmatic and sustainable approach to analytics, we can unlock the true potential of data while minimizing our environmental impact. We already have excellent tools for these tasks.
CIO Business Intelligence
JUNE 7, 2022
Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.
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CIO Business Intelligence
OCTOBER 4, 2022
In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” Data architecture coherence. more machine learning use casesacross the company.
Smarten
JUNE 22, 2022
Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. The benefits of Embedded BI and Augmented Analytics are numerous.
Sisense
SEPTEMBER 9, 2019
Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.
CIO Business Intelligence
MARCH 19, 2025
Investing in data science and AI for sustainability Advanced analytics and AI can unlock new opportunities for sustainability. Predictive modeling can help companies optimize energy consumption, while AI-driven insights can identify supply chain inefficiencies that lead to excessive waste.
CIO Business Intelligence
SEPTEMBER 2, 2022
The pandemic falls into the macro-level because we really can’t predict those kinds of events. Micro-level uncertainties, however, are good cases where analytics and AI can be injected to solve a problem. Using the mode, we can predict with a high degree of accuracy whether the part will arrive late or not.
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