Analytics is a key enabler for life sciences and healthcare organizations to create better outcomes for patients, customers and other stakeholders in healthcare. The IBM Institute for Business Value recently released a new study titled “Analytics across the ecosystem - A prescription for optimizing
Staying fit is increasingly an engagement between you and the machines that tune and tone your physiology. If you're like me, you have your own favorite machines for burning fat, building strength and toning muscle. When I use my fitness club, I become one with my pet mechanisms: the treadmill,
Patient matching requires a solution that includes people, process and technology. There is no silver bullet such as a national patient identifier. The ONC Patient Identification and Matching Final Report reflected this long-held belief. Enjoy some highlights from this report below:
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.
This infographic highlights key findings from the 2014 report titled “Pushing the frontiers: CFO insights from the global C-Suite study,” which draws input from nearly 4,200 of C-suite executives representing more than 20 industries. Learn more about the insights behind the study in this podcast.
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.
2014 has been hailed as the year when big data adoption goes mainstream. As adoption accelerates, I’m starting to see a change in the thinking about big data. More and more business and government leaders seem to be taking a step back and asking questions like these:
How can I understand the
We're collecting more data, from more sources, in more formats. The opportunities to derive insight from all these new sources have exploded, but the essential point is not just to discover, identify, categorize and summarize the data—it is also important to communicate it, and that so often means
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