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.
The Internet of Things is at the heart of the digital transformation we are witnessing in society today. The advancements of this connectable ecosystem bring several important considerations including data security and privacy and the elements of the infrastructure. In this second installment of a
The Internet of Things is the digital future that is dead ahead. Are industries and businesses prepared for the onslaught of data that is already transforming our world today? In this series, take a glimpse into this future and the questions that will need to be addressed for all that the Internet
With big data set to grow exponentially in the next decade, telecommunications service providers face several challenges. Here are the top five ways service providers can store, access and analyze their big data for the next 10 years and beyond.
Provider data can be hard to pin down amid the winds of change that lash the healthcare environment from all directions. Rather than stumbling blind through a blizzard of competing demands, turn to IBM Master Data Management solutions to help you stay on top of your provider data.