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Data Integrity, the Basis for Reliable Insights

Sisense

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. What is data integrity?

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IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools

IBM Big Data Hub

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

In the following section, two use cases demonstrate how the data mesh is established with Amazon DataZone to better facilitate machine learning for an IoT-based digital twin and BI dashboards and reporting using Tableau. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 110
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Data integrity vs. data quality: Is there a difference?

IBM Big Data Hub

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

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Are You Content with Your Organization’s Content Strategy?

Rocket-Powered Data Science

Contextual TAM includes semantic TAM, taxonomic indexing, and even usage-based tags (digital breadcrumbs of the users of specific pieces of content, including the key words and phrases that people used to describe the content in their own reports). Adding these to your organization’s content makes the CMS semantically searchable and usable.

Strategy 267
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The Superpowers of Ontotext’s Relation and Event Detector

Ontotext

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

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The Role of Big Data Analytics in Gaming

Smart Data Collective

Game analysts are exclusively engaged in testing and reporting, and the elimination of identified problems falls on the shoulders of the development team. Gaming data analytics, in this case, will evaluate all indicators of the activity of the character and the players. Data integrity control. Absolutely.

Big Data 134