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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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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.

Analytics 151
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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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The Data Journey: From Raw Data to Insights

Sisense

The combination of a powerful storage repository and a powerful BI and analytics platform enables such analysts to transform live Big Data from cloud data warehouses into interactive dashboards in minutes. They use an array of tools to help achieve this. Fact tables include transactional information, which we aggregate.

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Although keep in mind your long-term performance is one of the most important parameters to decide in which way you have to adjust your campaigns and efforts, weekly summaries can decrease the number of interdepartmental meetings between marketing professionals, and provide a faster way to analyze big data. click to enlarge**.

Reporting 280
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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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So Far, VR-Enabled Data Visuailzation is Nonsense

Perceptual Edge

They take advantage of the gullibility of people who are already susceptible to the allure of technological hyperbole that goes by such names as VR, Big Data, AI, and self-service analytics. All they need to get started is access to big data sets, which I also foresee as being more prevalent not too long from now.