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12 Key AI Patterns for Improving Data Quality (DQ)

Dataversity

Data: Data is number, characters, images, audio, video, symbols, or any digital repository on which operations can be performed by a computer. Algorithm: An algorithm […] The post 12 Key AI Patterns for Improving Data Quality (DQ) appeared first on DATAVERSITY.

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How to Ensure Data Quality and Consistency in Master Data Management

Dataversity

In the digital age, organizations increasingly rely on data for strategic decision-making, making the management of this data more critical than ever. This evolution underscores the importance of master […] The post How to Ensure Data Quality and Consistency in Master Data Management appeared first on DATAVERSITY.

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Astera’s Guide to Insurance Data Quality and Governance

Astera

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Adhering to robust governance frameworks allows insurers to ensure compliance with data privacy regulations.

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Data Quality Dimensions Are Crucial for AI

Dataversity

As organizations digitize customer journeys, the implications of low-quality data are multiplied manyfold. Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative. That’s where Data Quality dimensions come into play. […].

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How to Overcome the Pain Points of Your CRM

The promise of a CRM ( customer relationship management ) led organizations to believe each could digitally transform its businesses through tracking touchpoints throughout the buyer’s journey. 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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Good Data Governance Must Go Hand in Hand with Digital Transformation

Dataversity

Good Data Governance is often the difference between an organization’s success and failure. And from a digital transformation standpoint, many view technologies like AI, robotics, and big data as being critical for helping companies and their boards to respond to events quicker than ever.

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What to Expect in 2022: Data Privacy, Data Quality, and More

Dataversity

As 2021 begins to draw to a close, there are lessons to be learned for marketers faced with abrupt changing consumer behaviors and an acceleration of digital channels. The post What to Expect in 2022: Data Privacy, Data Quality, and More appeared first on DATAVERSITY.