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.
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.
Busy executives that need to make vital business or investment decisions don’t want to wait for days or weeks for an answer to a question they put to analysts or receive incomplete information or analysis with spurious results. Fortunately, analysts today can access cloud-based data services that
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their
Hybrid environments have given organizations more flexibility than ever before when they store their data. But does your data analytics provider respect your hybrid environment? Find out what you should be looking for when choosing a data analytics solution.
Regulations to protect the banking industry’s institutions, consumers and the economy continue to evolve, which escalates the complexity of banks’ imperatives to ensure accuracy, completeness and lineage of data. The IBM InfoSphere Information Governance Catalog offers banks an easily accessible,
A master data management (MDM) strategy can help businesses make intelligent business decisions and avoid unnecessary expenses while enabling efficient deployment and saving time spent on implementation. Discover the four essential capabilities of a strong MDM solution and how they can help you
Data can be the lifeblood for empowering healthcare organizations to proactively enhance patient outcomes. See how two healthcare entities applied master data management to innovate successful healthcare initiatives.
When considering data integration and governance, handling data is akin to dealing with a cluttered desk. Take a look at some tips that can apply to both tasks. Maybe now is a good time for some fall organization?
Adopting a data integration strategy is the first step toward achieving success with data. Using such a strategy can instill confidence in customers and allow company leaders to react quickly and appropriately, all while reducing risk and costs.
Hadoop is great for storing and processing large data volumes, but its limits become clear when integrating ever-increasing volumes of data. A new solution—described in detail at the upcoming Strata+Hadoop World conference—can help organizations overcome this limitation.
While some observers may argue that Apache Spark is causing the relevance of the Apache Hadoop community to wane, the fact of the matter is innovative Spark development depends on Hadoop platforms. Discover why Hadoop is stronger than ever as an open source information refinery that is expected to
Big data does not make data quality redundant. As long as there is a need to make sound decisions based on information and insights, there will be a need for data quality and governance. Data quality function will adapt to the changing business needs and play a crucial role in building confidence