Twice recently, in two different large companies, people whom I have otherwise respected as being quite sensible have said to me that their organisations had appointed people who, within their own function, were ‘responsible for data quality’.
Well, when I went to Data Governance School back at the
One natural consequence of the influx of big data is that organizations are modernizing their infrastructures to do a better job of ingesting data from new sources, identifying data that has value, and leveraging that data. As they address those challenges and tap into the opportunity that lies
Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?
One of the biggest problems posed by big data is separating the signal from the noise, or cutting through all the data to find insight and value. The 2013 IBM Institute for Business Value study surveyed 900 business and IT executives from 70 countries to assess how they’re converting data into
Whether you need to deliver trusted information to a data warehouse, get a 360 degree view of your customers, or put big data to work for your organization through any other project, IBM InfoSphere Information Integration and Governance capabilities provide a foundation of trust and protection for
Protecting and security sensitive big data is necessary to ensure data is shared for new forms of analysis. Before the owners of that data will share it (yes, political silos still exist, and yes individuals still feel they own data and can say no to sharing it), they want to ensure it is
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of
With 2.5 quintillion bytes of data created every day, organizations cannot wait to establish business-driven protection policies for keeping data safe. The rising volume of data and the growing number of analytics systems storing sensitive data exponentially increases the risk of breaches. IBM®
More data, more problems? Not if you have an agile, automated information integration and governance program in place. Automating information integration and governance and employing it at the point of data creation helps organizations boost confidence in their big data. A solid information
How data lifecycle management complements a big data strategy
Information integration and governance solutions must become a natural part of big data projects. As the foundation of the IBM big data platform, IBM® InfoSphere® Optim™ provides market-leading functionality across all the capabilities
While the term “big data” has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades, leading the way with data integration, management, security and analytics solutions known for their reliability, flexibility and scalability.