Remove products data-quality
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How IBM HR and the Chief Data Office partnered to drive data quality, increased productivity and a move to higher value work

IBM Big Data Hub

Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. What is data quality? Data quality is critical for data governance.

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Ensuring data reliability for AI-driven success: The critical role of data engineers

Collibra

Trust in AI requires trust in data Data reliability is paramount for Artificial Intelligence (AI). Accuracy and trust in AI generated insights is directly dependent on the quality of the underlying data. Most commonly, organizations need to avoid modification of production data directly.

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Data quality: key for government agencies with a data mesh strategy

Collibra

In today’s world, data drives many of the decisions made by federal and state government agencies. Recently many agencies have started to discuss how data mesh strategies, focused on a decentralized data landscape and distributed domain-oriented data products, can help make better use of data and speed up decision making.

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Ransomware group Dark Angels claims the theft of 1TB of data from chipmaker Nexperia 

Security Affairs

The Dark Angels (Dunghill) ransomware group claims the hack of the chipmaker Nexperia and the theft of 1 TB of data from the company. The Dark Angels (Dunghill) ransomware group claims responsibility for hacking chipmaker Nexperia and stealing 1 TB of the company’s data. All data is confidential, contains trade secrets. -

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How to Overcome the Pain Points of Your CRM

When used effectively, a CRM can be the lifeblood of your sales team – keeping everyone organized, efficient, and at peak productivity. Combatting low adoption rates and data quality. However, as a company, sales stack, and database grow, it becomes difficult to uphold structure and governance to keep a CRM up-to-date.

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The data quality rule of 1%: how to size for success

Collibra

In this post, we will be providing a practical walkthrough for ROI in your data quality program. When kickstarting data quality with different organizations we’ve discovered this is a common need. Questions include, ‘how many columns or assets should I govern’ and ‘how many require data quality checks’?

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Reducing defects and downtime with AI-enabled automated inspections

IBM Big Data Hub

A large, multinational automobile manufacturer responsible for producing millions of vehicles annually, engaged with IBM to streamline their manufacturing processes with seamless, automated inspections driven by real-time data and artificial intelligence (AI).

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. of companies achieved a score indicating maturity in data management practices in the space.". B2B organizations struggle with bad data. The primary takeaway? Forrester found “only 1.2%