This week's Big Data & Analytics Hero, John Naduvathusseril, chief data architect for Nielsen Company, shares how we can flip the equation so that the challenge of big data becomes more of an opportunity for actionable insights.
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
In giving us a look at the big data market and use cases within the Middle East and Africa region, Ali reminds us of the 5000-year history behind big data, which effectively was born in Mesopotamia. In more present day scenarios, he describes “an exploratory curiosity sandbox,” which is a method he
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
It's been said the "culture eats strategy for lunch." Tom Deutsch, program director of big data & advanced analytics at IBM, joined us to describe MVI—the minimum viable insight—which is an approach to conquering issues within internal culture and dynamics.
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
"Culture can eat strategy for lunch," says Richard Lee, Management Consultant with IMECS, LLC. For more than 30 years, Richard has helped guide companies in their business strategy. He also speaks at conferences around the world on key business issues related to Enterprise Information Management
Business is all about placing bets on the future, having confidence that the odds are in your favor. You want to be confident that the consumer demand you anticipate will in fact materialize. You require trustworthy data to support your forecast that the product you’re developing will address a
Harnessing the power of big data and analytics is valuable when conducting competitive analyses. Organizations can search and analyze a range of industry information to identify trends, anticipate changes and uncover emerging opportunities. To use big data in this way, organizations need solutions