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Corporate Data Governance: The Cornerstone of Successful Digital Transformation

Dataversity

In todays evolving digital landscape, organizations are under immense pressure to innovate and adapt swiftly. Digital transformation is no longer a luxury but a necessity for businesses aiming to stay competitive.

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Guide to Digital Transformation: Data-first Architecture

Dataversity

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

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IKEA’s Data Transformation: Lessons from a Global Giant

Timo Elliott

The Strategy: A Greenfield Approach IKEA adopted a greenfield strategy with SAP, rethinking its processes, technology, and data from the ground up. To create a connected, resilient ecosystem where data quality underpinned every operational decision. Establishing data frameworks and standards.

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Key Considerations for C-Suite Leaders Involved in Digital Transformation Initiatives

Dataversity

With spending on digital transformation initiatives worldwide projected to hit $3.9 trillion by 2027, the pressure is on organizations – and specifically the C-suite – to ensure that not only are they best positioned to tackle the digital challenges of today but that they can quickly adapt to those of tomorrow as well.

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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. Combatting low adoption rates and data quality. It’s no secret, only 13% of salespeople are satisfied with their CRM.

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Good Data Governance Must Go Hand in Hand with Digital Transformation

Dataversity

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. However, the fact is that a digital approach completely changes and […].

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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

How Artificial Intelligence is Impacting Data Quality. Artificial intelligence has the potential to combat human error by taking up the tasking responsibilities associated with the analysis, drilling, and dissection of large volumes of data. Data quality is crucial in the age of artificial intelligence. Conclusion.