Remove Data Governance Remove Data Warehouse Remove Digital Transformation
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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.” Instead, what we really need is for our business to run at the speed of data. This is where SAP Datasphere (the next generation of SAP Data Warehouse Cloud) comes in.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

More than 20 years ago, data within organizations was like scattered rocks on early Earth. It was not alive because the business knowledge required to turn data into value was confined to individuals minds, Excel sheets or lost in analog signals. The choice of vendors should align with the broader cloud or on-premises strategy.

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Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. The solution is data intelligence.

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Digital Transformation in Municipal Government: The Hidden Force Powering Smart Cities

erwin

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

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Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture goals The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation.

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How Data Governance Protects Sensitive Data

erwin

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.