Satisfying the high expectations of customers in banking and clients in wealth management means organizations need to adopt technologies that make them highly efficient, data driven and customer-centric. Learn more at IBM Insight 2015, or sign up for IBMGO to see live streams of highly essential
If you’re trying to pull together consumer data collected in disparate sources but are struggling to make sense of it all, then you’re long overdue for a strategy overhaul. At Insight 2015, learn how you can begin rethinking your own consumer data strategy.
No less than traditional scientists, data scientists need a guiding strategy for solving problems. Such a methodology should directly address the problem at hand and should provide a framework for obtaining answers and results. Learn more about the Foundational Methodology for Data Science and how
Nearly 10 years ago, a little open source software project with a funny name came into being. Over the past few years, that project, Hadoop, has taken the world by storm and has caused a sea change in both the software vendor marketplace and the way IT organizations think about their computing
According to our research customers come second only to the C-suite in terms of the strategic influence they wield. When asked, “Who has the most influence on your strategic vision and business strategy?” 55 percent of interviewed CEOs cited customers. In our upcoming #CXO Twitter chat we discuss
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
We all know we need to use insight to engage with customers, the question most of us are still grappling with is how? How do we create a strategy for handling big data and is there anything we can learn from the sports teams like England Rugby about how they use analytics to engage their fans?
"Don't we already have a data warehouse solution?"
"Is big data even relevant to our organization?"
"Why do we need it?"
"Isn't big data costly and hard to implement?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
Companies whose investments focus on growing talent in data sciences help not only their processes, but also the company as a whole. In our most recent global study on big data analytics, we concluded that the gap between the demand for analytics talent globally and the supply of analytics talent
You don’t need to wait for the stars to align in order to realize the full value from your investments in analytics initiatives of all sorts.
Instead, what you need to do—and it’s within your power here and now—is to align several key dimensions of your organization’s analytics and data strategies
To serve a growing customer base and better manage the client experience across all customer touch points, organisations are moving away from siloed transaction-oriented systems – such as enterprise resource planning (ERP), customer relationship management (CRM) and dealer management systems – in