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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

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.

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Five Steps for Building a Successful BI Strategy

Sisense

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead. Benefits of prescriptive analytics. Image source: [link].

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation. Thus arrives the need for casinos to adopt such new strategies and approaches towards business to stay ahead. Benefits of prescriptive analytics. Image source: [link].

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What Is The Difference Between Business Intelligence And Analytics?

datapine

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.

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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

Customer service analytics is necessary for businesses that want to assess the level of help provided to customers and other key stakeholders. The information you gather will assist you in identifying strategies that are effective and pinpointing areas where you can improve. Customer Experience Analytics.