Our Blog


Posted by infotrellis on Monday, Aug 8, 2016 @ 7:04 AM

Banking Regulations – Overview Managing regulatory issues and risk has never been so complex. Regulatory expectations continue to rise with increased emphasis on the institution’s ability to respond to the next potential crisis.Financial Institutionscontinue to face challenges implementing a comprehensive enterprise-wide governance program that meets all current and futureregulatory expectations. There has been a phenomenal rise in expectations related to data quality, risk analytics and regulatory reporting. Following are some of the US regulations that MDM and customer 360 reports can be used for compliance: FATCA (Foreign Account Tax Compliance Act) FATCA was enacted to target non-compliance by U.S. taxpayers using foreign accounts. The objective of FATCA is the reporting of foreign financial assets. The ability to align all key stakeholders, including operations, technology, risk, legal, and tax, is critical … Continue reading MDM for Regulatory Compliance in the Banking Industry

Topics: Banking RegulationsX  , data lake for banking  , Data Management Consulting Services  , IBM MDM  , Master Data Management  , Master data management Banking Regulations  , master data management tools  , 
Posted by Purnima Borate on Tuesday, May 24, 2016 @ 2:40 PM

Data Governance is the process of understanding, managing and making the critical data available with the goal to maximize its value and to ensure compliance. InfoTrellis’ Data Governance Methodology follows a multi-phased iterative approach with 4 stages – Initiate, Define, Deploy and Optimize. This article is the second part of the Data Governance Methodology series by InfoTrellis. The first part of this series – Initiate your Data Governance – listed the essential foundations of successful Data Governance program. ‘Define’ stage primarily deals with defining effective Policies to address Data Governance issues. This article lists the important considerations of this stage. Understand your Data Governance problem Detailed investigation to understand the root cause of problem is essential to identify and solve Data Governance issues. For instance, a revenue amount discrepancy … Continue reading Define your Data Governance

Topics: data governance  , Master Data Management  , 
Posted by infotrellis on Thursday, May 12, 2016 @ 8:44 AM

InfoTrellis hires veteran sales executive from IBM as it positions itself to lead the customer data management market into the next generation. InfoTrellis, an innovative provider of Customer 360 software, announced the hire of John Gairhan as Vice President of Sales. The addition further enhances the company’s experienced executive leadership team, all of whom understand the customer data and analytics market and how it is evolving to address organizations’ most pressing use cases. As VP of Sales, Gairhan will leverage his 25 years of experience in sales, strategy, marketing and development of enterprise software to help solve clients’ highest priority customer big data problems. According to Forbes and Forrester, 48 percent of big data projects currently underway are focused on customer analytics, yet 88 percent of customer data is … Continue reading InfoTrellis Expands Executive Team with Addition of Former IBM Exec, John Gairhan

Topics: Company  , 
Posted by infotrellis on Wednesday, May 4, 2016 @ 8:00 AM

Complementing its deep expertise in master data management and big data strategy, InfoTrellis hires David Corrigan, a former marketing executive for IBM’s Big Data & Analytics business unit. InfoTrellis, a leading provider of Big Data, MDM and Customer 360 software and services, announced the addition of David Corrigan as Chief Marketing Officer and Vice President of Product Management, rounding out its advanced team of technical experts. InfoTrellis will leverage Corrigan’s experience with product strategy, marketing and messaging to inspire the company to reimagine customer data management and apply emerging technology to address new use cases for the full Customer 360 view. Monetate reported that 40% of consumers buy more from retailers who personalize the shopping experience across channels. InfoTrellis addresses the personalization demand head on with cutting edge technology … Continue reading InfoTrellis Adds Veteran Visionary to Executive Team

Topics: Company  , 
Posted by Purnima Borate on Tuesday, Apr 12, 2016 @ 12:32 PM

Data Governance is the process of understanding, managing and making the critical data available with the goal to maximize its value and to ensure compliance. Data Governance is an important and imperative area for Enterprises that want to realize full value from the data available with them.  InfoTrellis’ Data Governance Methodology follows a multi-phased iterative approach with 4 stages – Initiate, Define, Deploy and Optimize. This article lists the important considerations that are part of the Initiate stage of our Data Governance Methodology. The Debate– Small or Big? The very first step of Data Governance is also the most ambiguous for most enterprises. The most common debate is whether to start an independent Data Governance program across enterprise or to start with specific problem at hand and then scale … Continue reading Initiate your Data Governance

Topics: Data Governance programs  , Data Governance Solutions  , Data management consultants  , Data Management Consulting Services  , Master data management consultant  , 
Posted by Kevin Wright on Friday, Dec 11, 2015 @ 12:00 AM

With the introduction of IBM Master Data Management v11, IBM has created a new implementation style combining the strengths of both MDM Physical and Virtual editions. While MDM Physical is more suited to the “centralized” MDM style (system of record), and MDM Virtual is aligned with the “registry” MDM style (system of reference), MDM Hybrid uses a “coexistence” style to provide a mixed system of reference & record. This article will give an overview of the MDM Hybrid implementation style and a couple of interesting lessons learned during a recent InfoTrellis engagement. MDM Hybrid was first introduced in MDM v11.0 in June 2013 to leverage capabilities of both MDM Virtual and MDM Physical which themselves have grown considerably in capability in recent years. However, MDM Hybrid is still not … Continue reading Virtual and Physical MDM in the same box, best of both worlds!

Topics: Hybrid  , IBM MDM  , mdm  , MDM 11  , Use Cases  , 
Posted by vidyasagarpanati on Monday, Sep 28, 2015 @ 5:26 AM

“Effort is important, but knowing where to make an effort makes all the difference!” A few days ago, at the end of a very intense release, one of our long term clients asked what is the secret behind our team’s high quality testing effort, despite the very aggressive timelines and vast scope of work that she sets up for us. She was very much interested in understanding what we do different from the many large SI’s she has used in the past, who according to her were always struggling to survive in a highly time-conscious and fast changing environment. We went back with a presentation to the client’s delivery team, which was highly appreciated by one and all. This blog provides a gist of the practices that we follow … Continue reading Common Sense is very uncommon

Topics: Automation  , Big Picture  , mdm  , QA  , Reuse  , Testing  , 
Posted by sathishbaskaran on Tuesday, May 12, 2015 @ 9:43 AM

MDM BatchProcessor is a multi-threaded J2SE client application used in most of the MDM implementations to load large volumes of enterprise data into MDM during initial and delta loads. Oftentimes, processing large volumes of data might cause performance issues during the Batch Processing stage thus bringing down the TPS (Transactions per Second). Poor performance of the batch processor often disrupts the data load process and impacts the go-live plans. Unfortunately, there is no panacea available for this common problem. Let us help you by highlighting some of the potential root causes that influence the BatchProcessor performance. We will be suggesting remedies for each of these bottlenecks in the later part of this blog. Infrastructure Concerns Any complex, business-critical Enterprise application needs careful planning, well ahead of time, to achieve … Continue reading IBM MDM BatchProcessor – Tips for better throughput

Topics: InfoTrellis  , Master Data Management  , MasterDataManagement  , mdm  , mdm hub  , MDM Implementation  , 
Posted by manasa1991 on Monday, May 11, 2015 @ 5:36 PM

Calvin: “You can’t just turn on creativity like a faucet. You have to be in the right mood.” Hobbes: “What mood is that?” Calvin: “Last-minute panic.” Okay, apologies for an unscheduled delay on the follow up post. Let’s get back to discussing how we manage our MDM Projects. In my previous post, we talked about the first two stages of “InfoTrellis SMART MDM Methodology”, namely “Discovery and Assessment” and “Scope and Approach”. In these two stages, we spoke about activities around understanding business expectations, helping clients formulate their MDM strategy, help them identify scope of an MDM implementation along with defining right use cases and the optimal solution approach. I also mentioned that we generally follow a “non-iterative” approach to these stages as this helps us build a solid … Continue reading Managing MDM Projects II – Development, Testing and Deployment

Topics: Master Data Management  , MasterDataManagement  , MDM Implementation  , 
Posted by infotrellislauren on Monday, Dec 15, 2014 @ 1:34 PM

There’s a metaphor I like to use about public washrooms. Have you ever been in a public washroom where the toilet flushes automatically, the soap dispenses automatically, and the water turns on and off automatically, but then the drier is manual, and it seems really jarring and weird because you stick your hands under it expecting it to be automatic too and then nothing happens? That’s what’s going to happen to digital customer experiences and marketing best practices. Let me elaborate. Say it’s around the second week of December. I’m working on doing my Christmas shopping still, like many people are at this time of year. I open up an email from a large bookstore chain that I happen to have a loyalty card with – one of the … Continue reading The Christmas Shopping Big Data Use Case

Topics: Big Data  , Customer Relationship Management  , Marketing  , Retail  , segmentation  ,