Much of the disconnect between employees and customers stems from the inability to access and quickly weave customer data into accurate customer insight. How can organizations keep pace with customers while equipping and empowering employees? And what can businesses do to reduce the time employees
Last Wednesday, February 26, the Big Data & Analytics Hub, which is where you're reading this post right now, and Business Analytics software at IBM ran a Twitter chat entitled, “Innovations in Analytics" with special guest, Seth Grimes (@sethgrimes). Seth is a leading industry analyst covering
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.
Without a doubt, data integration is essential to the success of big data projects. However, some folks in the big data vendor community, including data warehouse, Hadoop and data integration vendors, are telling a very confusing story about the fitness of Hadoop as a data integration platform.
On January 9, 2014 IBM announced that it was forming a new organization (the Watson Group) and investing a billion dollars ($1B!) in future Watson development. The company also announced three new Watson cloud services—The Watson Discovery Advisor, Watson Analytics and IBM Watson Explorer—as well
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?
When IBM announced innovations in information integration and governance for big data last fall, we IBMers believed we were on to something. Experience with clients worldwide suggested that automated integration, enabling self-service integration for big data repositories, would be a big deal. A
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.
When an organization sets out to become more customer-centric, lots of changes have to happen. Employees—from senior executives to the frontline—must change and adopt new behaviors and mindsets. Processes and technologies must change to reflect the company’s customer-centric desires. Large-scale
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.