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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

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What Is an Executive Dashboard and Why Do You Need One?

Jet Global

Executive dashboards help key business decision-makers stay focused on those “big rocks.” The concept of executive dashboards has become increasingly popular in recent years, as technology has made it possible to collect more data, then to analyze and summarize it in ways that vividly conveys what’s happening in the business in real time.

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Business Intelligence vs Data Science vs Data Analytics

FineReport

financial dashboard (by FineReport). It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. Insurance Dashboard (by FineReport). BI dashboard (by FineReport). What is Data Science?

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AI-Based Banking Loan Software Will Become Norm In 2022

Smart Data Collective

We have talked extensively about the role of AI in investment management and insurance. It refers to underwriting, customer onboarding, document management, analysis, and statistics. There is no denying the reality that artificial intelligence is setting new standards in the financial sector. The banking industry is among them.

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Top 24 RPA tools available today

CIO Business Intelligence

The ability to suck words and numbers from images are a big help for document-heavy businesses such as insurance or banking. All the behavior is tracked with standard analytics and reported through a dashboard so you can watch for robotic glitches. Microsoft is integrating some of its AI into Power.

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What Is Hyperautomation?

O'Reilly on Data

Automating processes to make decisions in routine situations can be a way to do more without adding staff: if pharmacy employees can rely on an automated process to look up drug interactions, regulations, and medical records, in addition to managing the insurance process, they are free to take on more important or more difficult tasks.

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Convergent Evolution

Peter James Thomas

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.