Like the phrase “MDM on Steroid” 🙂

Do you think we see the market growing more and more for that rather than traditional MDM.As we talk to customers more and more their is a need to grow that piece in combination with Nalytics platform rather than traditional MDM.

Shweta,
Thanks for comments. I coined that phrase, so I take the full credit 🙂
There is certainly more demand for master data management capabilities that can address Big Data volume and velocity today than it was a year ago. However, the classic use case is still the majority. There are a large number of customers who want to take control of business-critical data about customers, products, suppliers which is smaller in size. However, few forward-looking organizations are not hesitating to start on the big data journey.

I completely agree with your predictions regarding Customer Demand for MDM to encompass a holistic solution. I myself work for a Healthcare Organization that is currently using a Vendor Solution MDM Model as their in-place MDM solution. This solution was implemented about 2 years ago, which has many intricacies and survivorship rules that need to be re-worked due to the Organization’s unique way they input data into their main Source system – outside of additional data feeds they receive from other sources. Due to these growing pains the organization is experiencing with MDM related to Business Rules regarding the Data that were not identified within the solution during initial requirements phases – the organization has had a much harder time receiving a complete buy in from the Business Teams. Much of this is due to the Data Quality issues identified when using the MDM solution as a part of any reporting needed for the organization or external efforts. I myself believe completely in the Master Data Management concept that is backed by a robust Data Governance Methodology customized to each individual Organizations data processes and procedures. When Data Governance is constructively and consistently utilized to drive data quality decisions with the use of Data Profiling, only then can the Data Enrichment process be effective to drive Customer Satisfaction.

The trends mentioned are part of the broader mega trend in data mgmt that has been around since the last 3-4 years.

Great post, I have joined an organisation in which we are going through the process of assessing the quality of our data, and looking at MDM, and remediation of data issues (where it is deemed to be of business value), and it will be interesting to get insight and recommendations from those who have walked the road before.

Prashant, Wondeful article. Recently I joined one organization where they had already MDM process in place. But it is not much accurate. I need to upgrade it. It’s an e-commerce company where people can purchase product and make a payment. In order to take advantage people sometime use different email address, different shipping address & so on. Our web interface will then give a new customer id if data mismatched. So I need to combine them with multiple iteration & need to implement a solution which will give them a single unique id. So that every month we can evaluate that this much % is our new customers and so on. I need to implement in SQL Server 2014. If you can share your experience on this would be much appreciated.

MDM helps me in solving the problems on data analytics

Hi Ronak, firstly got to compliment you on publishing such a wide variety of excellent and topical articles. Most useful.

I’d be interested to get your thoughts on 360 degree view of party and product data. I am looking at this at the moment where we have a desire to implement MDM technologies to satisfy business needs around single party/product view. My thoughts are that MDM will provide the foundational data but exposing the actual view to consumers will be done through some consuming tool whether that be CRM or something surfaced through a BI layer. Interested to get your thoughts.

Thanks.

MDM helps us more in future to solve the data analysis problems. Your article is great and informative.

[…] been predicting this one for a while now. It turns out that I'm not alone. As Prash Chandramohan writes, organizations are beginning to apply MDM techniques to unstructured data. This may be as simple as […]

another good one Prasanth,

based on my observations, most of the organizations think MDM is bulky & expensive solution because of the record level licensing model and complexity to upgrade with the customized solution. during our assessment for next generation MDM, we are considering the cost effective solutions like Cloud with easy integration with third party data vendors which avoids million dollar upgrades and provides stability. This helps on cost / C360 solution with CRM systems.

Thanks,
RK