Data vs. Data - MDM and BigData in the ring!
by Venkataraman Ramanathan
"Rocky cuts an upper and a jab to the ribs, boy is the champ getting his due or what!!" Yeah, a Rocky fan where reruns are never boring with Eye of the Tiger running at the background. The series cannot be more inspiring than the spirit that was showcased in the final Rocky movie Rocky Balboa. But, let me bring this to context quickly. What I am looking at are the sharp jabs and cuts that he was able to take and was still able to win and stand tall. Well, how about pitching MDM and BigData in the ring and see how the ol' one-two matches up with the size/volume of data in the emerging enterprise-scape? MDM in an indomitable spirit is what a business needs to realize and benefit from.
Interesting it is, that we see many instances of huge amount of data in projects at client sites where there is a struggle to identify the number of master data attributes in a domain (be it customer, location, asset, product, chart of accounts et.al). Is there a nominal value for example, 60 or maybe 70? In that case what has been the volume of records that have been observed when you have more than one data domain in picture? We are seeing a shift in the way MDM needs to work in the future and the transition is something that is visible across many experiences across the world. It goes without saying how the Cloud (yeah, it helps the TCO) will help the future of MDM in an enterprise but, it cannot assume more importance given the shift that we are seeing in terms of the data volume that the MDM system in an enterprise has to handle. Recent "outings" on various assignments made me face this question which was inherent given the regulations that companies need to adhere to and the number of master data entities that they need to handle as part of their enterprise business. Couple that with M&A's and you are staring at that one big Red glove closing in on your face faster than you expect.
The MDM world is an ever-expanding one given the context of the amount of structure and unstructured data that enterprises stare at every day. So time for some introspection -
1. How should I handle unstructured data?
2. What are all the sources of unstructured data that matter for my business?
3. How can BigData help me? - The big red glove can be a helping hand rather than the one cutting you across the face
4. How do I need to factor in BigData in my MDM journey?
5. Does the market or my existing vendor have good profiling and integration tools to handle BigData?
6. How will MDM and BigData costs pare against each other in a multiple vendor situation?
7. Will the business encounter issues on the Integration front that can sideline the original plan?
Oh, there are many more but this should get us thinking of how this will affect our business in particular. Data itself is a complex maze that needs to be looked through with a fine lens and then sorted and used. System integrators will need to factor in the handling of this giant Red Glove as part of their workspace to cater to the ever increasing needs of their clients. Big Master Data Management - now that is a new ring and a new acronym which we need to quickly factor in and separate the essentials (more of that in another rant). It is important to realize that the influence a disruptive technology or concept can bring in will spawn newer areas to handle that change. So is the case, where as we speak, data will be and is available to you in a distributed form and in a network where it is more service centric. This fuels the journey towards more efficient data management in particular to master your data in the context of the 'big brother' - BigData.
I will leave you with the following from the Eye of the Tiger (= data for me) which cannot emphasize more of the change that we all are part of.
"It's the eye of the tiger, it's the cream of the fight
Risin' up to the challenge of our rival
And the last known survivor stalks his prey in the night
And he's watchin' us all in the eye of the tiger"
What is your POV on this thread? Have you experienced and handled issues of BigData on a strategic and tactical level in your organization or line of work in the context of MDM?



