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5 tips for excelling at self-service analytics

CIO Business Intelligence

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 137
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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57
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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

This enabled our customers to see their data in a way they had never seen before. The power of QuickSight lets our customers slice and dice the data in different ways. As shown in the following screenshot, customers can filter by Review Process Type or Group Type and then take actionable next steps based on data.

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

This is especially useful when the data in Druid needs to be joined with the data residing elsewhere in the warehouse. The table below summarizes Hive and Druid key features and strengths and suggests how combining the feature sets can provide the best of both worlds for data analytics. Cloudera Data Warehouse).

Metrics 87
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Optimize queries using dataset parameters in Amazon QuickSight

AWS Big Data

Authors and readers can benefit from the faster load of analyses and dashboards for the first time using default values, as well as for later queries when data is sliced and diced using filter controls on the dashboard. Parameterized datasets can be filtered to a relatively smaller result set when loaded.

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Adding Analytics to Tally Prime and Tally ERP Provides Value!

Smarten

Adding to the value of the modules and features of these Tally offerings, is the ability to integrate business intelligence and augmented analytics within the Tally environment. According to recent studies, the global data analytics market is valued at over $300 billion USD. The mobile app is suitable for Android and iOS.