Today every business is taking more and more data from various and untrusted sources system and using it in more ways than ever before. Whether it may be a small organization or an enterprise environment, data quality management is both challenging and significantly important to every business. Despite the importance, Data Quality initiatives sometimes remain […]
Posts Tagged ‘data governance’
SIFMA AML Highlights: Compliance, Enforcement and Preparing for Tomorrow
We attended SIFMA’s Anti-Money Laundering & Financial Crimes Conference last month where experts in the industry discussed legal and regulatory developments, enforcements, and industry perspectives. There were many discussions around whistleblowers, anti-bribery & corruption, securities fraud and even marijuana related securities legislation. Andrew J. Ceresney, Director of Enforcement at the U.S. Securities and Exchange Commission, gave a […]
Data Quality – Don’t Fix It If It Ain’t Broke
What is broke? If I drive a pickup truck around that has a small, unobtrusive crack in the windshield and a few dings in the paint, it will still pull a boat and haul a bunch of lumber from Home Depot. Is the pickup broke if it still meets my needs? So, when is data […]
The New Data Integration Paradigm
Data integration has changed. The old way of extracting data, moving it to a new server, transforming it, and then loading into a new system for reporting and analytics is now looking quite arcane. It’s expensive, time consuming, and does not scale to handle the volumes we are now seeing in the digitally transformed enterprise. We […]
Reference Architecture – Cloud MDM for Salesforce
In my earlier post Why MDM should be part of CRM Strategy I discussed the importance of having a MDM strategy along with the CRM initiative. Proliferation of cloud CRM solutions like Salesforce is a blessing and it can also be an IT nightmare, if it is not managed properly. In many companies Salesforce implementation […]
Cloud MDM – Reference Architecture for Public Cloud Platform
Moving the MDM deployment to a cloud platform involves several considerations ranging from technical gotchas to getting the internal buy-in. Getting the buy-in is a different topic of discussion – see my earlier posts on Data Governance. The advantages of moving to cloud eliminates some of the administrative and server farms related maintenance tasks but […]
Cloud MDM – are we getting closer?
As Master Data Management matures and becomes a standard application within the enterprise architecture landscape, variations of cloud offerings are slowly emerging. Many companies are not even aware of these solution offerings. You can broadly classify the types of cloud offerings into 3 categories. There are key advantages and disadvantages in pursuing these architectures. The […]
Key strategies for Data Quality
In numerous client engagements, we have witnessed that Data Quality (DQ) is a never-ending battle. At many companies, IT fixes and re-fixes the data rather than develop solutions and manage applications. DQ is not confined to IT, but maintaining that quality requires effort from all data users, especially those at the business end. Building a […]
Bootstrapping Data Governance – Part II
As I mentioned in my earlier post, building the vision for Data Governance happens through multiple meetings, interactions and discussions at various levels. Depending on the company culture and type of industry, progress may end up being faster or slower. Leadership in building the awareness and linking the business issues which can be solved through […]
Bootstrapping Data Governance – Part I
A lot has been said and written about Data Governance (DG) and the importance of having one. However it is still a mystery for many companies to create an effective DG. Based on our experience majority of the companies in their early stages of DG fall into one of these areas: Had too many false […]
Strategic Trends for 2015
We are almost at the end of 2014. Time to check out the 2015 trends and compare with what has been the focus in 2014. Looking at the top 10 trends in Information Management, some things have changed and some have moved up or down the list. However, the same old challenges pretty much remain. […]
Master Data – Why is it different from CRM?
Lot of people confuse the Master Data Management with CRM. Gartner defines the ‘Three Rings of Information Governance’ where and what type of data is captured and how it relates to the core enterprise data (Master Data). Master Data is the common set of definitions agreed across the Enterprise. According to Gartner, The inner ring […]