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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Native Indexes for fast filtering, arbitrary slicing and dicing of any dimensional combinations. Highly optimized time series queries. This reduces the total cost of ownership and frees internal resources for higher priority tasks than Druid maintenance and optimization. Support for data rollup and summarization.

Metrics 83
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Experimenting to Win with Data

Sisense

The experiences of Measuremen, an international consultancy that helps organizations optimize facilities use, illustrate this point. Since 2005, Measuremen has helped its clients study and optimize facilities use. Determining data goals, making a plan. And I always reply, ‘Start somewhere.’

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Consult with key stakeholders, including IT, finance, marketing, sales, and operations.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

Digital Analytics Ecosystem: Optimal Execution: Three Phases. Digital Analytics Ecosystem: Optimal Execution: Timing Expectations. You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! The landing page optimization team will demand regular reports of all entry points to the site/app.

Analytics 150
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Optimize queries using dataset parameters in Amazon QuickSight

AWS Big Data

With dataset parameters, authors can optimize the experience and load time of dashboards that are connected live to external SQL-based sources. Optimized custom SQL in direct queries With dataset parameters, you no longer have to trade-off between the flexibility of using custom SQL logic and the performance of an optimized SQL query.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? Just because this one is from one of the largest business consulting companies in the world, and the title of the study was: Cutting Complexity and Adding Value. Everything seems sub-optimal.

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Super-charged pivot tables in Amazon QuickSight

AWS Big Data

This involved migrating complex tables and pivot tables, helping them slice and dice large datasets and deliver pixel-perfect views of their data to their stakeholders. For example, a customer 360 report sliced by different regions. Recently, Amazon FinTech migrated all their financial reporting to QuickSight.