Remove Business Analytics Remove Forecasting Remove Risk
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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Now that we have described predictive and prescriptive analytics in detail, what is there left?

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Share the essential business intelligence trends among your team!

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What Is The Difference Between Business Intelligence And Analytics?

datapine

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Confused yet?

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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. In retail, poor product master data skews demand forecasts and disrupts fulfillment.

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Business analytics in the age of disruption

IBM Big Data Hub

To navigate this constantly disrupted world, clients need more data, more collaboration and more assurances that they can act at the speed of business without risk. This situation persists across all areas of the business, and organizations have had to focus on new data applications to find a path towards success and resiliency.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). It is frequently used for risk analysis.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. Predictive Business Analytics. Predictive analytics is the use of data and AI-powered algorithms to help analysts forecast the future and better predict business outcomes.