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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. Robust dashboards can be easily implemented, allowing potential savings and profits to be quickly highlighted with simple slicing and dicing of the data.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

What-if parameters also create calculated measures you can reference elsewhere. Smart Narratives pull out key takeaways and trends in your data and wrap them with autogenerated text to build data stories. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

Business Intelligence Infrastructure: The overall concept of business intelligence platforms is that they take that raw, two-dimensional, live data, parse it down to only the relevant, useable pieces and then structure it, subjectize it, and finally, dimensionalize it, so the data is completely optimized for analysis.

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Simplify Online Analytical Processing (OLAP) queries in Amazon Redshift using new SQL constructs such as ROLLUP, CUBE, and GROUPING SETS

AWS Big Data

Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Also provides auditability for the generated aggregations.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

There are multiple cases of leveraging data to drive better relationships between all these departments, better execution across all departments and best-in-class customer experience as a result of all departments working hand-in-hand with data at the center of all decisions. Key ways to optimize insights for sales.

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What is the Business Intelligence Cycle?

Jet Global

The capacity to facilitate exploration differentiates business intelligence, allowing users to quickly and easily slice and dice their data in various ways to produce meaningful insights that direct leaders toward better business decisions. Phase 4: Measuring and Monitoring KPIs. Phase 1: Setting Clear Objectives.

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How Product Analytics Differs From Embedded Analytics and Why You Need Both

Jet Global

Analytics is vital now because providing end-users with the ability to analyze, slice, and dice data within the context of their application is essential to staying competitive in today’s fast-paced digital world. Let’s look at how embedded analytics differs from product analytics, and why both are useful.