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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable. ” “Just 26.5%

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements. AI Adoption and Data Strategy.