Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.
On the latest episode of Data Decoded, we talk about data governance and compliance in the age of self-service with Donald Farmer, Principal at TreeHive Strategy. You’ll hear about the shifting balance in power between business users and IT as well as the change in role of IT from the “gate keepers
To attain digital transformation maturity, organizations have to build a foundation of trusted customer and product data. This includes integrating policies which control how data is used within the enterprise and protecting sensitive information.
On this episode of Data Decoded, host William McKnight sits down with Rob Harris (IBM, chief data governance architect) to discuss the current state of Master Data Management (MDM). They explore MDM's many applications to industries that include healthcare and even consumer products like smart
A look into how machine learning and deep learning techniques can impact the way companies implement metadata discovery and business term assignments using the IBM Unified Governance & Integration platform.
In part two of our podcast episode on Blockchain, Soma Shekar (Software Architect, IBM Analytics) discusses the enterprise application of blockchain in Master Data Management - going beyond blockchain application in cryptocurrency.
Blockchain — it’s one of the hottest topics in the tech industry, but what exactly is it? Yves Mulkers (Founder of 7wData) and Erik O’Neill (IBM Entity Analytics, Sr. Offering Manager) discuss the history of blockchain and what is means for businesses wanting to get ahead in the world of data.
There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is
From machine learning to blockchain to artificial intelligence, data is dominating the conversation in the tech industry. In the first episode of Data Decoded, William McKnight, CEO of McKnight Consulting, and Yves Mulkers, founder of 7wData and a data/business intelligence architect, discuss the
The new Gartner Magic Quadrant (MQ) for Master Data Management has been published, and what you might not notice at first glance is that this year, IBM chose not to participate. Gartner still included IBM in the MQ. However, we did decline to engage in the process and provide detailed data for
Today’s most successful companies think differently about data governance. Recent Aberdeen research suggests that top-performing companies are those that create a more holistic approach to data governance, incorporating the right technologies, processes, skill sets and internal capabilities.
Some people think of master data management (MDM) purely as a platform for organizing and mobilizing enterprise information. While this is true, leading companies view MDM more as a philosophy or a set of best practices, not just a suite of software tools.
If you’re truly data-driven, how often do you make a critical decision based solely on information from one part of the company? At the organizational level, how valuable is data when decision makers have to rely on IT (not to mention a tangle of technical and bureaucratic red tape) just to access