The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data and reduce cost and risk. Free up your resources and get more out of your data.
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?
Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
The promise of big data and analytics is revolutionary and exciting. But, to truly make big data a big deal requires confidence in your data. Learn how two teams tried to use analytics to fund a an enterprise project with dramatically different results. Discover how one went wrong and how the other
The concern about consumer data privacy has never been higher. For example, 86% of Americans are concerned with data collection from Internet browsing and how it is used, and 70% of Europeans are concerned about the reuse of their personal data. With data breaches and issues such as the NSA’s
As organizations begin pursing big data initiatives, they discover how important it is to have an understanding of the underlying data used to generate relevant insight. Organizations - and the people in them - must have confidence in the data or they simply will not use it to its fullest potential
To aid in the detection of stealthy threats that can hide in the increasing mounds of data, IBM announced IBM Security Intelligence with Big Data, combining leading security intelligence with big data analytics capabilities for both external Cyber Security threats and internal risk detection and