Many companies today have already begun leveraging their big data to gain a competitive edge. As the world's new natural resource, big data can drive business decisions and catapult organizations to the top of their industry. IBM is helping businesses make sense of all that data.
Not everyone can be a data analyst, but IBM DataWorks makes the numbers less scary for business users. With a more refined approach to big data, everyone can use this information to make crucial decisions to add value to any business.
Download: The top 5 ways to get started with big data
In part five of this series we explored Acquire, the first of three key stages within the analytics lifecycle, which provides the ability to acquire and integrate data quickly—foundational to creating an analytics speed advantage. In part six we will look at recommendations and practical actions
We asked experts from diverse organizations for their unique perspective on major trends in big data and analytics as we head into 2015. Hear their views on the key organizational imperatives, value realization and the key skills needed to support this.
Turn data and analytics into competitive
Together, IBM and Coriell Life Sciences have teamed up to create a near real-time tool for physicians based on genome sequencing. Using complex genome data, physicians can extract meaningful information about a specific patient to create better, more personalized treatment plans.
Learn how big data
Benny Cohen, founder and president of Knowledge Providers, Inc., has spent the last 35 years implementing business solutions for small and large organizations across North America. He spent some time with us to talk about “self-service BI” for decentralizing the consumption of data and described
As exciting as the Big Data for Social Good Challenge is, it is also a little intimidating to think of an idea big enough for big data. In this post, I’ll share some tips to get you going on the Challenge. Just like a term paper, beginning is the key to finishing, so let's get started.
UK organizations continue to exploit information to acquire more customers and offer them an improved experience; however, they risk being outpaced by acceleration in delivering insight ready for action in other parts of the world.
In part four of this series we introduced three key stages within the analytics lifecycle to outline how leading organizations are outpacing the competition. In this post, part five, we will explore the first of those stages (Acquire) which provides the ability to acquire and integrate data quickly
This is part four in a series presenting, in small easily consumable bites, findings and insights from the IBM Institute for Business Value’s latest study and paper - “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace." In part three we
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options
Let's explore in more detail the final two shifts highlighted in the new IBM Analytics study, “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace," including the transformation of business processes with digital capabilities.