Three key tenets of a successful DataOps program are knowing what data you have, being able to trust it and trust that you can use it. In this session we will show you DataOps in Action beginning with a simple onramp to...
Modern enterprises live with a continuously changing enterprise architecture. This is true for all the 4 EA domains; Business architecture, Application architecture, Data architecture and Infrastructure (technical...
Everybody wants to do Analytics and Data Science. But you need to manage data before you exploit it. This session will describe a data governance approach that can help you enable reliable data insight – particularly in...
Today’s business outcomes like customer retention insights, predictive maintenance, or dynamic inventory optimization require to relate enterprise data to big data. At the same time, requirements for agility, security...
Today’s large enterprises are in a war for customer mind-share against digitally native organisations. To succeed they have to meet many different challenges including the need to achieve complete understanding of...
Being competitive in the digital era will be impacted by your data management strategy and your organization’s data literacy. Key Takeaways During 30 minutes we will show facts why you become more competitive as a...
Session will explain how Region Stockholm plans to use data driven approach to decide right MDM implementation strategy Key Takeaways Region Stockholm’s Drivers for MDM – Current and New WorldInward vs. Outward Looking...
Why tomorrows successful Retail Brands and Businesses are relying on structured data and information to run their business. How information and data management for a Retail Brand is part of their key operations and how...
DataOps is a framework that lifts best practices from DevOps in the software development world and applies it to delivering data in an efficient and agile way. IBM has launched a DataOps practice, delivering workshops...
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