Business Analytics Data Strategy Forecasting 
Rocket-Powered Data Science
OCTOBER 6, 2023
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?
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.
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CIO Business Intelligence
APRIL 8, 2025
In financial services, mismatched definitions of active account or incomplete know-your-customers (KYC) data can distort risk models and stall customer onboarding. In healthcare, missing treatment data or inconsistent coding undermines clinical AI models and affects patient safety. Create cross-functional data councils.
IBM Big Data Hub
SEPTEMBER 19, 2023
Those who work in the field of data science are known as data scientists. Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics.
Sisense
APRIL 6, 2020
Constantinos Mavrommatis is the Chief Data Scientist at RetailZoom , a consultancy that helps supermarkets in Cyprus unlock their data to reveal patterns and forecast future performance. Those armed with a modern data strategy, clear KPIs, and well-modeled dashboards will navigate shifts in the market more smoothly than others.
BizAcuity
APRIL 14, 2022
Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Data Management.
CIO Business Intelligence
APRIL 9, 2025
For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.
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