Businesses have come to expect that smart rivals wielding digital technologies will disrupt their competitive landscapes. How ready is your organization to be a digital disruptor? Take a look at detailed criteria for assessing your organization’s readiness and the strategic steps you can take to
The Fall IBM Chief Data Officer Summit brought together more thought leaders than ever before, with over 130 Chief Data Officers, Chief Analytics Officers, Chief Data Scientists and senior-level data executives convening to network, share experiences and discuss the latest technological
The benefits and pitfalls of different cloud deployment architectures can be intense topics of conversations spanning a wide range of industries. Some discussions foster new approaches to consider, and others make strong arguments as to which approach is well suited for different, industry-specific
Unstructured information continues to grow as never before, with a preponderance of it being stored and managed by large enterprises. Much of this data is not really well understood, and its management and governance remain a formidable challenge. See how creating trusted and collaborative
If you’re looking to make your business data-driven, then you already know the paramount importance of modernizing your data architecture and its response capabilities. Accordingly, in your search for the ideal approach to delivering analytics for decision making, have you considered data
The future of cognitive computing is bright and Chief Data Officers have the chance to lead the way for their organizations. Not just a science-fiction dream, machines that are experts, expressive, educated, and evolving have the potential to create a stunning reality by driving meaningful market
If you want to impress your Sunday night dinner guests with a satisfying culinary outcome from a new recipe, you wouldn’t shop willy-nilly for ingredients. The same goes for that governance or master data management initiative you need to get underway on Monday morning. When considering such
It is important to recognize that the level of integration and governance provided must be tailored to suit the needs of various stakeholders inside and outside of the organization. Some need the ability to explore raw data. Others wish to take analytical discovery into their own hands. Still
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.
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
The transition to a modern business intelligence and analytics platform helps create value by getting deeper insights from diverse data sources. But how can organizations make this transition? By focusing on four important areas.
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.
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.