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Tableau explains your data with new natural-language tool

CIO Business Intelligence

software update, released Wednesday, aims to address this issue with a new feature called Explain Data that seeks to tell the story behind the chart, delivering analysis in clear language to those without the statistical expertise to do it for themselves. Get the latest on data analytics by signing up for CIO newsletters. ]. . |

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In the discussion of power-law distributions, we see again another way that graphs differ from more familiar statistical analyses that assume a normal distribution of properties in random populations. All of that “metadata” (which is simply “other data about your data”) enables rich discovery of shortest paths, central nodes, and communities.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” or “how often?”

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5 Industries That Are Being Revolutionized By Big Data

Smart Data Collective

Big data is helping gaming providers make better predictions. According to DataFlaq , some big data algorithms have around a 95% successful prediction rate. Big data enables operators to assess the behavior of their players and, as a result, provide a personalized playing experience based on what the player enjoys.

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Your Ultimate Guide To Modern KPI Reports In The Digital Age – Examples & Templates

datapine

By providing a detailed visualization of every aspect of your sales portfolio, this report empowers sales managers to take a full snapshot of their sales operations without losing any data, enabling them to create an extensive sales report. KPIs used: Customer Acquisition Costs. Customer Lifetime Value.

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. “We

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Four things that matter in the AI hype cycle

CIO Business Intelligence

“Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. These embeddings capture features and representations of data, enabling machines to understand, abstract, and compute on that data in sophisticated ways.”