I asked this question of Mark Ramsey, chief data officer at Samsung Mobile. I know what comes to mind when I think of data is data strategy, data quality, data integration, governance and data infrastructure. Being from the technology industry, and IBM in specific, data and analytics are two
Big data projects often involve exploring new business challenges and using new technology alongside existing applications. But who is doing this work? What skills and personalities are needed? Where should management of the big data "team" live, and is the team all in the same department or cross-
I recently participated in a Twitter chat on big data strategy hosted by @IBMbigdata. In all, seven questions were asked (including inquiry around the hot new role of chief data officer), and the conversation certainly demonstrated that each are well worth discussing again, in a little more than
A recently released infographic aids in understanding how big data capabilities map back to enterprise strategic imperatives. I'll break this infographics down into steps and discuss each level for clarity and definition.
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.