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IKEA’s Data Transformation: Lessons from a Global Giant

Timo Elliott

Managing global and local product ranges while ensuring seamless customer experiences requires impeccable data flows. “Every flow in our supply chain represents a data flow,” Sandu explained. “If the data isn’t high-quality, those flows break, and the customer feels it.”

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Corporate Data Governance: The Cornerstone of Successful Digital Transformation

Dataversity

At the heart of this transformation lies data a critical asset that, when managed effectively, can drive innovation, enhance customer experiences, and open […] The post Corporate Data Governance: The Cornerstone of Successful Digital Transformation appeared first on DATAVERSITY.

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Transforming Business Analysis With Big Data: A Decision-Maker’s Guide

Analysts Corner

Integrating Big Data into BusinessStrategy Integration of Big Data methodologies and techniques into business strategy [own elaboration] To fully harness Big Datas potential [5], businesses should follow thesesteps: Define Objectives : Establish clear goals, such as improving customer experience or optimizing operations.

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The Trouble with AI and Identity

Dataversity

From improving diagnostic care to revolutionizing the customer experience, many industries and organizations have experienced the true transformational power of AI. Artificial Intelligence (AI) has earned a reputation as a silver bullet solution to a myriad of modern business challenges across industries.

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2023 SAP Innovation Award Winners: Swiss Federal Railways, Mastering a Data-Driven Culture with SAP BTP

Timo Elliott

The implementation of SAP Ariba and SAP Customer Experience has been instrumental in managing the full lifecycle of supplier and customer records, from registration to phase-out. This shift has enabled them to concentrate on more intricate aspects of data quality and governance.

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How Can BI Consulting Services Help Foster Data-driven Decisions

BizAcuity

Challenges in Achieving Data-Driven Decision-Making While the benefits are clear, many organizations struggle to become fully data-driven. Challenges such as data silos, inconsistent data quality, and a lack of skilled personnel can create significant barriers.

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Best Practices for Getting Company Data Ecosystems AI-ready

Dataversity

Organizations invest considerable resources into collecting customer data to build digital footprints and profiles for enhancing the customer experience (CX).