erwin

SEPTEMBER 10, 2020

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

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Digital transformation Metadata Government Compliance 131

Collibra

MARCH 18, 2021

require data auditing and reporting. Data migrations – When moving large volumes of data to the cloud or to new storage, it’s important to identify missing records, values, and broken relationships across tables or systems.

Metadata 59

Metadata Analytics Data migration Government 59

Reltio

DECEMBER 2, 2020

We Answer Your Top 12 Questions about Migrating from Legacy MDM to Innovative MDM. Data leaders and architects want to accelerate their company’s digital transformation and enable connected customer experiences with connected data. Before that he ran customer success at Reltio. . Step 3: Construct.

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MDM Data migration Digital transformation Customer Experience 78

Collibra

FEBRUARY 11, 2022

The Data Management Association (DAMA) defines data quality management as the “Planning, implementation and control of activities… to assure data assets are fit for consumption and meet the needs of data consumers.” . To be fit for use, data must be “free from defects” (i.e., be the “right data”).

IT 52

IT Analytics Sales Metadata 52

IBM Big Data Hub

DECEMBER 20, 2023

Examples of industries that have switched from monolithic architecture to microservices include subscription-based streaming services like Netflix, which uses microservices to track user activities, their history and other data to make real-time recommendations for enhanced engagement and better customer experiences.

Cloud 111

Cloud Digital transformation Customer Experience Compliance 111

ARMA International

SEPTEMBER 27, 2021

Part 1 discussed the key DT business drivers, concepts, and technology trends, how they are transforming organizations and society, and how they are affecting business users and customers. Some technology trends such as real-time data analytics are ongoing, while others are more recent, such as blockchain.

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Digital transformation Risk IT Computer and Electronics 54