Business Intelligence

A Primer on Data Warehouse Requirements Gathering

Is your business information coherent enough for advanced analysis, or is it time to get serious about aggregation? Data warehouses have massive potential to imbue your reporting and scrutiny tasks with increased accuracy, but there’s more than one way to implement a repository. It’s up to you to create a system that satisfies the need for uniform data integration while remaining responsive to your analysis practices.

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How Business Intelligence Helps You Leave the Competition Behind

Coming up with strategies to surpass competitors is vital to the success of your company. One of the most popular ways to innovate these days is with Business Intelligence, or BI. BI is the assortment of systems, software and processes used to collect, analyze and make decisions on data from a business.

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Future of the Business Intelligence Software Market

The year 2015 saw major changes that reverberated through the global business intelligence software market. While many of the driving principles behind business intelligence remain the same, there are a host of promising trends that make this an exciting time to be involved in the way organizations leverage data analysis. If you haven’t been keeping up with the BI market, read on for a quick recap and our predictions for 2016.

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Business Intelligence and Data Warehousing

There tends to be some confusion in the industry concerning Business Intelligence (BI) and Data Warehousing (DW). Some people conflate them into a single term – BI/DW (Business Intelligence/Data Warehouse) – and consider them to fundamentally be the same thing. Other people believe that a data warehouse merely stores information to form the back end of business intelligence, and that they are completely separate entities. As with many conflicts, the truth depends upon your point of view.

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BI vs. Big Data vs. Data Mining

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. To help you understand the various concepts in business data concepts, it is important to understand the difference between business intelligence, big data, and data mining.

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7 Reasons to Use Self-Service Business Intelligence Tools

Self-service business intelligence boasts features that enable users to become more self-reliant and less dependent on information technology (IT) experts.  The 4 ways this is accomplished are: (1) easy access to source data (2) better support for data analysis, (3) faster deployment options, and (4) simpler, adaptive, and collaborative end-user interfaces.

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Four Useful BI Applications

The use of Business Intelligence (BI) is not a new concept to many companies and firms. It entails software solutions that analyze data that users input and/or are fed from data sources and presents visualizations, allowing an organization to come up with up-to-date and well-informed strategies. With the latest trend of technology and inventions, there are countless BI applications available for varied analysis.

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What Do Business Intelligence Analysts Like in BI Software?

Business intelligence (BI) software provides an overview of the company’s business operations. It converts business data from various internal sources into structured dataset report output. Sales and productivity may be monitored. Dashboards and reports may be sent to end users or (non-technical) user interfaces.

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