Remove Data Warehouse Remove Measurement Remove Metrics Remove Slice and Dice
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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

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. What-if parameters also create calculated measures you can reference elsewhere.

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Business Intelligence vs. Reporting: Finding Your Bread and Butter

Jet Global

As we will outline below when discussing the technical execution differences between reporting and BI, with business intelligence, it’s possible (and required) to universally define goals and performance equations through KPIs and metrics that are calculated in the BI environment indefinitely.

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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. In this post, we discuss how to use these extensions to simplify your queries in Amazon Redshift.

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

Sisense

Analysts can use SQL as a more powerful tool than Salesforce to model messy sales data. By applying complex logic, you can more seamlessly build data models and gain fast, more advanced analysis. To achieve this, first requires getting the data into a form that delivers insights. Key ways to optimize insights for sales.

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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. What data does it provide? Any data covering any metric your users might want to see.

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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.