Posts Tagged ‘Master Data Management’

As mentioned last week, Perficient was a proud sponsor of this year’s Informatica World conference. We met with many Informatica customers and companies evaluating the suite of products. The event was also a great opportunity to hear from other thought leaders in the areas of Big Data, MDM, and cloud. It was clear from Informatica […]

The Force.com platform is remarkable in its ability to scale as your business grows, but all systems have constraints.  Even if you don’t think you are ever going to run into some of those limits, designing and managing your data with some of those ideas in mind will help you, and make the whole platform […]

At the recent World Economic Forum (WEF) and Gartner Data & Analytics Summit, a few themes were resounding and common between the two large conferences. These themes all centered on driving innovation across the world with new data and analytics solutions, enabling “responsive and responsible leadership”. WEF was clear that over the coming years, jobs […]

In my last blog, I presented a brief overview on Informatica Data Quality (IDQ) tools, the significance of Data Profiling and how to use the Analyst tool to profile data. In this second blog, I will introduce a few commonly used Informatica Developer tool Data Transformations. But, Why Data Transformations? Long story short, Data Quality […]

Day 2 at Informatica World has been equally as informative and exciting as day 1. The day started with Amit Wahlia (Chief Product Officer) discussing the 6 data disruptions leading to innovations that Informatica is watching – including mobile, social media, big data, IoT, security, and cloud. A cool example of data-driven disruption was Amazon […]

Many companies have invested millions in building a successful BI / EDW and are investing in advanced analytics for the future. But the mystery remains about the data quality. Though glaring DQ issues might be contained through constant backend data corrections or through exception handling, many organizations still faces the challenge of poor data quality. The reason Data […]

In my earlier blog, Salesforce and Predictive Analytics, I was making a point why Salesforce has taken a keen interest in predictive analytics software.  Salesforce has turned the market inside out by taking the complexities of IT and infrastructure delays, and not to mention out-of-the-box implementation features, easy enough for small companies to implement with minimal budget and external help. […]

Salesforce is a boon for companies which can’t take a number and wait for IT to prioritize the implementation. However if adequate data architecture planning is not done, it can end up as a siloed application with Data Quality issues. Many companies don’t have the time to engage the Enterprise team for CRM implementation besides […]

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 year 2014 just ended. 2015 is already looking like another year of data intensive initiatives.  Looking at the initiatives and investments happened in 2014, Big Data will continue to be on the top, and so does the cloud. Enterprise Data investment continues to grow as the laggards in technology are warming up to the Information […]

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 […]

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 […]