Dan Wolfson
Distinguished Engineer, IBM

Dan Wolfson is an IBM Distinguished Engineer. He is the chief architect and CTO for the InfoSphere Portfolio as well as the leader for Integration and Solutions Engineering teams within the IBM Information Management Division of the IBM Software Group. He is responsible for architecture and technical leadership across the rapidly growing areas of InfoSphere including Tools, Information Integration, Master Data Management, Metadata Management and Industry Models. As the leader of the Integration and Solutions Engineering team, Dan is working with clients and partners to identify and deliver technical integrations and solutions that demonstrate and enhance the value of our Information Management portfolio. Dan's previous roles include CTO for Business Integration Software and chief architect for Information Integration Solutions.

Dan has over 25 years of experience in research and commercial distributed computing ranging over transaction and object-oriented systems, software fault tolerance, messaging, information integration, business integration, metadata management and database systems. He has written numerous papers and is the co-author of “Enterprise Master Data Management: An SOA Approach to Managing Core Business Information”. Dan is a member of the IBM Academy of Technology and an IBM Master Inventor.

4 Kinds of Exercise for Healthy Data

September 5, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
We are often told of the importance of exercise to overall health. Stretching, cardio and strengthening exercises each contributes to maintaining a fit physique. In the context of healthy data, we also need a range of activities to provide the right data to the right place at the right time – both...

Healthy Data: A Diet of Thoughtful Consumption

July 13, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
There are many similarities between data and food. Food fuels our bodies, data fuels our IT systems – especially our analytical systems.  Eating right is a key enabler to our health. Consuming the right amounts of the right data can be a key enabler for insightful analytics.  So just as we try to...

Healthy Data: Setting Achievable Goals

June 14, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
So far, we’ve discussed the definition of “healthy data” and provided an overview of the process for getting there. In the next few installments we’ll focus on each phase. We’ll start with a deeper discussion on setting achievable goals. Great things are possible with discipline and hard work....

Healthy Data: Getting with the Program

June 6, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
In my last post, we reviewed what we mean by "healthy data" for Smarter Analytics. In this post we'll talk a bit about an overall program for achieving healthy data.   Getting to healthy data is a bit like getting to a healthy body - a problem many of us are all too familiar with. It is an ongoing...

Healthy Data for Smarter Analytics

May 30, 2012 | by Dan Wolfson, Distinguished Engineer, IBM
We all want to implement smarter analytics - to turn information into insights that we can use to improve both our personal and professional lives.  Yet we are often faced with a fundamental, often nagging, problem of getting the right data for whatever analytics we are trying to implement. It’s...