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 […]
Data + Intelligence
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 […]
Deep Dive on Real-time Analytics for Oracle BI Applications
If you look under the hood of top-performing companies who consistently beat analyst expectations, you’re likely to find that they have invested heavily in analytics and data management infrastructure to enable this real-time, competitive phenomena. If you’ve invested in Oracle BI Applications as a first step and now want to maximize that investment and be […]
Lambda Architecture for Big Data – Quick peek…
In the Big Data world Lambda architecture created by Nathan Marz is a standard technique applied to solve many predictive analytics problems. This architecture effectively delivers the streaming data and batch data to combine the past information with the current changes, producing a comprehensive platform for predictive framework. Lambda Architecture On a very high generic […]
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 […]
Anatomy of a Complex Fraud Scheme
With tomorrow’s Counter Fraud Webinar fast approaching – I came across an interesting info graphic that put this increasing phenomenon into perspective. The complexity of fraud evolves as people embrace the conveniences of an interconnected world. From the office, to the cloud, and even on private mobile devices, anyone is a target. Cyber-crime turns to […]
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. […]
Hadoop’s Ever-Increasing Role
With the advent of Splice Machine and the release of Hive 0.14 we are seeing Hadoop’s role in the data center continue to grow. Both of these technologies support limited transactions against data stored in HDFS. Now, I would not suggest moving your mission-critical ERP systems to Hive or Splice Machine, but the support of […]
Customer Analytics and Master Data…
Relevancy of Master Data is key to the customer experience. In my earlier post Why MDM should be part of CRM Strategy I mentioned Uber which has the Master Data integrated with other Enterprise Data to deliver the best customer experience. As technologies evolve and more and more customers with smart phone access makes it real […]
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 […]