Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
The biggest roadblock to big data and analytics capitalization stems from people, not data. A fragmented approach to investments and decisions can result in a breakdown of trust between different groups of people who may be accessing, interpreting and using data in different ways. The right level
Bob Griffin, VP of IBM Industry Solutions discusses the deep impact fraudulent activities have on organizations and consumer confidence. He introduces a new counter fraud solution from IBM designed to help prevent and intercept attempted fraud, and employs advanced intelligence allowing
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
This datagram quickly explains the nine levers that enable organizations to create value from an ever-growing volume of data from a variety of sources -- value that results from insights derived and actions taken at every level of the organization.