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.
Tune in to this interactive Google hangout, "Countdown to cyberwar," where noted authors and industry experts examine and discuss what governments, companies and individuals can do to deter, detect, protect and defend against this new and dangerous threat.
Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.
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.
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