Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. In this InsightOut podcast, IBM Analytics CTO Tim
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop
Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. Discover why metadata and governance are taking a
Solving a particular challenge requires understanding it before commencing to solve it. The astronauts on the Apollo 13 mission in 1970, for example, had to apply logic when they suddenly found themselves in the direst of circumstances, and they were able to find solutions through the use of data
Apache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop cluster. And then there is Spark’s complementary
The average person makes as many as 35,000 decisions during any given day, and that begs a question: How many decisions does a business make during the same span of time? If your analytics tools don’t have good data, you probably aren’t getting useful or timely answers to inform your decisions.
A variety of organizational roles interact with business data, and each role faces its own particular challenges in collaborating with its IT counterparts. In this installment of the InsightOut series, learn more about the responsibilities of these personas, exploring the considerations that govern
Bringing analytics to the C-suite doesn’t have to be a struggle. Learn how you can tailor your analytics conversations to help your executive colleagues throw open the door to new vistas of business opportunity.
No one really starts with clean data. Yet when garbage in means garbage out, is such an approach sustainable? Discover how information governance tools can help you make sense of “garbage” data, turning it into helpful, actionable information relevant to your business’s bottom line.
Organizations must seize sustainable competitive advantage hidden within information silos. This is critical to achieving customer centric objectives and business results. Here are 10 ways master data management (MDM) delivers sustainable competitive advantage.
Some process reengineering initiatives that were all the rage some two decades ago fell short of producing tangible changes within organizations. And the same dearth of measurements for assessing data quality improvements could mean the same fate for today’s information governance initiatives. See
Organizations looking to be more data-driven than ever before not only want to pervasively enable analytics across their enterprises, but they also aim to allow for enhanced collaboration and interaction. In this second InsightOut series installment, see how they can face the challenges to
You don't need magic to integrate, cleanse, govern and create a highly accurate view of your master data. Get the information you need to make important decisions. Learn more about information integration and governance today.