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Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Complex orgs with mature data capabilities.

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Metadata, the Neglected Stepchild of IT

Data Virtualization

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

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The Power of Active Metadata

Data Virtualization

Reading Time: 2 minutes As the volume, variety, and velocity of data continue to surge, organizations still struggle to gain meaningful insights. This is where active metadata comes in. Listen to “Why is Active Metadata Management Essential?” What is Active Metadata? ” on Spreaker.

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Why data observability is essential to AI governance

erwin

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? We will tackle all these burning questions and more in this article.

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Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. Data results from a Twitter poll. Metadata and artifacts needed for audits.

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The Need For Personalized Data Journeys for Your Data Consumers

DataKitchen

While this is a technically demanding task, the advent of ‘Payload’ Data Journeys (DJs) offers a targeted approach to meet the increasingly specific demands of Data Consumers. Payload DJs facilitate capturing metadata, lineage, and test results at each phase, enhancing tracking efficiency and reducing the risk of data loss.

Insurance 169
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Elevating Data Integration: A Four-Tier Approach to Effective Data Preparation

Data Virtualization

Reading Time: 2 minutes In today’s data-driven landscape, the integration of raw source data into usable business objects is a pivotal step in ensuring that organizations can make informed decisions and maximize the value of their data assets. To achieve these goals, a well-structured.