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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do? Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Examples of business analytics.

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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. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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Optimizing Business Performance with Dynamics 365 and BI Dashboards: The Missing Link Between Data and Decisions

BizAcuity

Sales operates on one system, finance on another, and operations on its own platform. Beyond Data Collection: Why Dynamics 365 Integration is Critical Most businesses today use Dynamics 365 for managing sales, finance, customer service, or operations. Because data without intelligence is just noise.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. For example, a business DSS might help a company project its revenue over a set period by analyzing past product sales data and current variables.

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing a recommended action. Sales and operations planning (S&OP). Sales and Operations Execution (S&OE). Supply chain, with its complex planning questions, is typically an area where optimization technology is required.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

The study and analysis of data allows to improve the automation of processes, optimizing sales strategies and improving business efficiency. Prescriptive analytics. In forecasting future events. This type of analysis is primarily aimed at prescribing actions to be taken to address an anticipated future challenge.

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Reporting vs Analytics: Why Different & Which is More Needed?

FineReport

Predictive analytics (answer what will happen in the future?) Prescriptive analytics (answer what are optimal next steps?). Take a look at the following chart example: We are naturally curious (1) why beer and ice cream sales increase as the temperature rises? And (2) how to deal with this growth trend next summer?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes.