Descriptive 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.
Smart Data Collective
MARCH 29, 2021
If your brand is trying to navigate today’s crowded and confusing analytics environment, one of the best things you can do is actively seek to reduce the amount of information you’re trying to wrangle. Instead of looking at everything, you can identify which strategies offer the most valuable insights and set the rest aside.
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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.
datapine
MARCH 25, 2022
On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.
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.
Sisense
JUNE 30, 2020
When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Predictive analytics is the most beneficial, but arguably the most complex type.
Decision Management Solutions
AUGUST 18, 2020
DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. Does that change the offers we make?
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