Remove Data Collection Remove Descriptive Analytics Remove Enterprise
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4 imperatives for making business intelligence work

O'Reilly on Data

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

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What is business intelligence? Transforming data into business insights

CIO Business Intelligence

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

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Improve Underwriting Using Data and Analytics

Cloudera

We’ve previously highlighted opportunities to improve digital claims processing with data and AI. In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. Cloudera Data Platform (CDP) is such a hybrid data platform.

Analytics 102
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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”. Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. >>>Infused analytics can help evolve every part of your business.