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

CIO Business Intelligence

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. Commonly used models include: Statistical models. Dashboards and other user interfaces that allow users to interact with and view results.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Any interaction between the two ( e.g., a financial transaction in a financial database) would be flagged by the authorities, and the interactions would come under great scrutiny. Chapter 1 provides a beautiful introduction to graphs, graph analytics algorithms, network science, and graph analytics use cases.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend. SAP Lumira.

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Five Steps for Building a Successful BI Strategy

Sisense

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Some organizations empower its end users with interactive dashboards. But what is a BI strategy in today’s world?

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

The foundation of predictive analytics is based on probabilities. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. Richard specializes in dashboards, predictive, and prescriptive analytics for the modern enterprise.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

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