Data Strategy Predictive Analytics Predictive Modeling 
CIO Business Intelligence
FEBRUARY 6, 2025
As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
CIO Business Intelligence
MARCH 19, 2025
However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.
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Rocket-Powered Data Science
OCTOBER 6, 2023
Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.
Sisense
SEPTEMBER 9, 2019
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. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.
IBM Big Data Hub
SEPTEMBER 19, 2023
This iterative process is known as the data science lifecycle, which usually follows seven phases: Identifying an opportunity or problem Data mining (extracting relevant data from large datasets) Data cleaning (removing duplicates, correcting errors, etc.)
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