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

CIO Business Intelligence

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. Document-driven DSS. ERP dashboards. A search engine is an example.

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Master Your Power BI Environment with Tabular Models

Jet Global

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models.

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Best Reporting Tools List You Can’t Miss in 2020

FineReport

The former is more professional in report making, presentation, and printing, while the latter can make OLAP and predict analysis thanks to the BI capabilities. As reporting software, it does not support OLAP. Price: The product is free, while the help documentation is commercial. . The updates are not well documented. .

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The Ultimate Guide to Data Warehouse Automation and Tools

Jet Global

Business Intelligence (BI) and IT teams can pull customer, product, and market data from disparate systems, then clean and prepare it for analysis so executives can make more informed decisions. With more accurate data, companies save time and money, and business intelligence teams can deliver more accurate results faster.

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How to Become a BI Developer without Learning How to Script

Jet Global

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. A vendor document type that shows up as “Invoice” or “Credit Memo” in the ERP system will appear as a “1” or “2” in the database.

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What Is Embedded Analytics?

Jet Global

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?