As we wind up Q1 2012, I am very happy, excited and at the same time exhausted with all things this year has bought in so far. I have been working with many customers this year; some of them are just getting started on their MDM journey.
Bigger the Data Set, Better the Results!?
My Klout score took a huge plunge in last couple of days due to my increased activity in social media. While 60 odd friends of mine wished me via facebook on my birthday (which by the way has become a great way to remember important dates related to friends), I made sure I acknowledged everyone’s wishes by commenting on the posts. What resulted is the graph you see below with massive spike up. Read more →
Big Data – Big Help!!
I am trying to reach out to my tweep and fellow Big Data experts via this blog post. This is for my buddy @ki_run who is looking for little help starting off with Big Data. Details are below. Really appreciate your effort in reading and providing any help you can.
Improve Matching by Avoiding Apple to Orange Comparison
Recently Henrik Liliendahl Sørensen (@hlsdk) wrote a blog post where he discusses the data matching challenges involved while dealing with small scale business owners.
Unlike individual customers and business customers, these small scale business owners fall into an intermediate category causing a lot of confusion in our data matching rules. Read more →
Identifying the Right Sources of Master Data
Among several challenges faced when we kick start an MDM implementation is the step to determine which source to consider for initial phase of deployment. Amidst all crucial aspects such as data collection, data transformation, normalization, standardization, matching etc, this step of source identification is critical factor for realizing MDM benefits early on.
2011 in Review – Annual Report
Here is the 2011 annual report for my blog. I hope you all like it.
Thank you all for being regular visitors to this blog, liking my content and promoting them in social media. I really appreciate all the support I received.
Combat of Duplicate Data, Who is the Survivor?
One foremost objective of implementing Master Data hub is to identify and resolve duplicate customer records. This is a crucial step towards achieving single version of truth about customer information thus help lower operational costs and maximize analytical capabilities.
Why build a Customer-Centric Business?
Here is what companies want to do to their customers, find ways to get money out of their pocket. As a customer, whether you like it or not, that’s the truth.
To get money out of consumer’s pocket, businesses are constantly exploring new ways. They often ask questions such as, what’s the minimum my company can do to keep customer satisfied. How to win customers loyalty under tough competition from rivals? Who are our true customers and what do they really need from us?
Intimate View of Customer
We often hear about ‘Single View of Customer’ whenever there is discussion on topics related to Master Data Management and Customer Data Integration.
I stumbled upon a new phrase recently, when a colleague of mine from sales used it to explain the benefits of MDM implementation as a customer data hub – the ‘Intimate View of Customer’. It means going a step further and helping organizations in understanding their customers a bit more.
Modeling Financial Industry Services in MDM
Recently I wrote a blog post about implementing master data management system to manage product master data. [Here is the link]. In this blog, I listed some of the unique characteristics of PIM projects taking retail industry examples. I was asked to share my knowledge about how products (or more relevantly – services) are managed in financial industry. Here are my thoughts on this topic.
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