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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

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The Gold Standard – The Key to Information Extraction and Data Quality Control

Ontotext

White Paper: Text Analysis for Content Management. The post The Gold Standard – The Key to Information Extraction and Data Quality Control appeared first on Ontotext. Do you want to learn more about how to implement Knowledge Graph-based Content Management solutions?

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Put our Knowledge and Writing Skills to Work for you

Peter James Thomas

The recently launched Data Strategy Review Service is just one example. Another service we provide is writing White Papers for clients. Sometimes the labels of these are white [1] as well as the paper. Sometimes Peter James Thomas is featured as the author.

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Service Visibility: 4 Keys to Establishing a Valued CMDB

CDW Research Hub

Experience has shown that IT organizations seeking to jump-start their CMDB simply by applying a discovery technology without proper planning soon find themselves frustrated by poor data quality and limited improvement in visibility or transparency. Demonstrating value and continual improvement.

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A Guide to Better Data Quality

Without high-quality data that we can rely on, we cannot trust our data or launch powerful projects like personalization. In this white paper by Snowplow, you'll learn how to identify data quality problems and discover techniques for capturing complete, accurate data.

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The Human-Centric CDO: 3 Key Takeaways from the Gartner Data & Analytics Summit 2023 in London

Alation

D&A leaders from around the world gathered to discuss and find ways to overcome the latest challenges through strategies and innovations backed by data, analytics, and data science. The observations comprised a mix of classic (the power of people, data quality ), recent (architectures such as fabric and mesh ), and emerging (AI).

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DataKitchen DataOps TestGen ‘Mystery Box Full Of Data Errors’

DataKitchen

DataOps TestGen delivers simple, fast data quality test generation and execution. DataOps TestGen profiles your data and algorithmically generates dozens of data validations. Your Data Journey starts with verifying that you can trust your data and re-verifying it every time you refresh it in production.