Diagnostic Analytics Machine Learning Predictive Analytics Strategy 
IBM Big Data Hub
SEPTEMBER 19, 2023
Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.
FineReport
MARCH 24, 2024
Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.
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BizAcuity
MARCH 31, 2022
AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.
Rocket-Powered Data Science
OCTOBER 6, 2023
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. This is predictive power discovery.
Jet Global
MAY 1, 2023
You might price embedded analytics as an independent add-on, or you might upsell customers to a plan that includes analytics. Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. Explain how embedded analytics can deliver the capabilities customers need.
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