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Waking Up The World of Big Data

Sisense

The term “Big Data” has lost its relevance. The fact remains, though: every dataset is becoming a Big Data set, whether its owners and users know (and understand) that or not. Big Data isn’t just something that happens to other people or giant companies like Google and Amazon. Big Data Today.

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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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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

State Persistance means when readers slice and dice embedded dashboards with filters, QuickSight will persist filter selection until they return to the dashboard. Readers can pick up where they left off and don’t have to re-select filters.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

In order for you to really truly understand what is happening to your business, your customers and the yummy business outcomes, you need to be able to segment the data. You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! Data pukes! Big data pukes!!! : ). People matter.

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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.

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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.

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

Occam's Razor

The reasons are that we all like complexity, it gives us energy :), we tend to be logical, and we often treat data output as the end when in reality the data output is just the start of the process that results in actions that deliver business impact. We throw off a lot of data as a subtle way of earning a great job performance review.