The 2017 Data Governance Winter Conference on 4 - 8 December covered topics ranging from how to start a data governance program to attaining data governance maturity to how to improve your organization’s information quality. After attending, Brian Mayer, business ready data practitioner, and Mark
Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more.
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. Learn how to deliver real-time feeds of transactional data from mainframes and distributed environments directly into Hadoop clusters and make constantly changing data more available.
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
Many large organizations still have a large amounts of data on-premise, but also need data from a public cloud. Regardless of where the data resides, organizations can build a trusted data source from which they can drive key business insights and derive significant sustained advantages. Here's how.
I just wrapped up attending and keynoting at this year’s ARMA Live conference. We're moving towards not just bringing together the practices, benefits and mandates of security, privacy and information governance, but also seeing the benefits and opportunities of business results of ever more
Managing enterprise information has always been a good idea, however with the potential for looming penalties from the General Data Protection Regulation (GDPR) non-compliance, companies are waking up and some organizations are even seeing GDPR as an opportunity to establish strengthened
Allocating IT budget is a tricky business. Companies need to make choices and manage investment tradeoffs. However, recent Aberdeen research suggests that foundational activities to protect, oversee and manage the data environment through a unified approach to data governance can produce enticing
Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.
What is driving change in the world of data? In his keynote from the Big Data Summit KC 2017, our Making Data Simple podcast host and IBM Analytics VP Al Martin addresses disruption, the data maturity model and the five areas business must get right to succeed in the era of cognitive computing.
In most modern-day organizations, external macros tend to be very influential — leaving little bandwidth for optimizing data governance. And, as stricter data storage and security compliance regulations come into play, it's becoming more and more critical for organizations to ensure they have the
Experts share their on-the-ground impressions of the IBM Chief Data Officer Summit, the perception of the CDO role amongst audience participants, and discuss how data science and the chief data officer role interact.
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.
Although there are many new and emerging classes of data integration, quality and governance software tools available in the market, many large organizations are coming to the conclusion that they're best served by a single unified enterprise data integration, quality and governance platform that