Over the last few years most enterprises have implemented several (if not more) large ERP and CRM suites. Although these applications were meant to have self-contained data models, it turns out that many enterprises still need to manage “master data” between the various applications. So the traditional IT role of hardware administration and custom programming has evolved to packaged application implementation and large scale data management. According to Wikipedia: “MDM has the objective of providing processes for collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure consistency and control in the ongoing maintenance and application use of this information.” Instead of designing large data warehouses to maintain the master data, many organizations turn to packaged Master Data Management (MDM) packages (such as Informatica MDM). With these tools at hand, IT shops can then build true Customer Master, Product Master (Product Information Management – PIM), Employee, or Supplier Master solutions. (more…)
By John Wollman, Executive Vice President, HighPoint Solutions, www.highpoint-solutions.com
Over the next two years, leading up to the ICD-10 “go live” date of October 1, 2014, there will be many procurement cycles for ICD-10 mapping and crosswalk tools. At present, we are seeing an evolution in the philosophy relating to the management of codes and mappings that will influence buyer decisions on the types of tools to incorporate into an ICD-10 program.
In considering mapping and crosswalk tools, leading companies are viewing the problem from an ongoing operational perspective, and not simply through a transition/conversion lens. The notion is that the complexity of ICD-10 is not limited to a one-time transition or conversion. Rather, the complexity will continue to be a problem well after October 1, 2014. The ongoing operational requirements call more for Master Data Management (MDM) approaches to managing codesets, mappings and the enterprise artifacts that are comprised of codes. (more…)
Big Data, Big Problems: Leveraging Informatica 9.5 to Build an Effective Data Governance Strategy to Meet the Big Data Challenge
By: Chris Cingrani, Informatica DQ & MDM Practice Lead, Data Management Practice at SSG Ltd., www.ssglimited.com
Big data is something that I am continually asked about by clients, as the subject continues to gain significant press. While discussing this topic, I often address it from the angle that bigger data volumes will result in bigger data problems. Although this seems like a logical premise, the reality of what it really means to an organization and how to plan accordingly is what is often overlooked. Rather than solve the problem in this blog post, I want to focus on two key considerations from a data governance standpoint, as well as discuss why SSG sees Informatica 9.5 as a core component of a sound data governance strategy that can ensure an organizations’ business decision-making success. (more…)
A post from the TABB Group
For the biggest swaps dealers, creation of their new OTC derivatives infrastructure will include rebuilding existing platforms, buying key elements from technology providers, leveraging technology already in place in other asset classes and, of course, building new platforms from scratch. This is not a buy-versus-build decision—it’s a careful balancing act of process and technology decisions to create a best-of-breed infrastructure. (more…)
When asked by the Conference Board in 2011 to rank the challenges that keep them up at night, U.S.-based CEOs put business growth in the number one position. Growing the business means growing the customer base by delivering a superior customer experience—and that demands leadership for the elimination of customer data silos and delivering complete, reliable customer data to the business.
The CIO is in a unique strategic position to help out—and emerge as (an unexpected) customer champion. Cases of CIOs taking on the role of customer champion, in my opinion, are not prevalent enough and represent a missed opportunity to advance the organization’s quest for customer profits. Companies need to focus on such immediately actionable key metrics as understanding the value of gained and lost customers, quantities of referrals, and the movement of customers from one level of profitability to another. I call these the “Guerrilla Metrics” because they power the customer onto the corporate agenda—and will help the CEO determine the value of the corporation based on its ability to manage customers as assets. This requires enabling the integration of customer data and driving that as a priority. (more…)
Guest Blog by Michelle de Haaff, CMO, Attensity
It’s great to be guest blogging on the Informatica site this week. The topic: BIG DATA in the Enterprise and specifically the growth of customer data fueled by social media that creates a very large treasure trove of insights for businesses.
Informatica made a very exciting announcement yesterday about their Informatica 9.1 BIG DATA offering and we were proud to be a part of it. Attensity made its own announcement on BIG DATA earlier this year as well. It’s great to partner with the world leader in data integration technology. Why? A big question that many of both Attensity and Informatica customers ask is how they can bring unstructured data, prose or text that are in emails, survey verbatims, documents, social media conversations, service and repair notes and more into a data analytics platform, combined with structured data for analytics. (more…)
Reposted with permission
Shahid Shah’s healthcare IT, EMR, EHR, PHR, medical content, and document management advisory service. Enjoy.
Join me for a free webinar on “Understanding the Escalating Data Challenges of Meaningful Use” on Thursday, April 7th
I’ve been doing a good deal of coaching and consulting on what Meaningful Use really means to technology professionals lately so I was pleased to accept an invitation by Informatica to lead a webinar on that subject for a data management audience.
Data management professionals and the executives that they report to have now had enough time to learn how difficult meeting the escalating requirements for MU actually is; most are reporting that it’s been more work than they thought. Gone are the days when health systems thought they could just install a certified EHR and they would be able to meet the MU goals. Everyone now understands that even if they’re able to collect the measures required in the first phase of MU, the escalating data challenges of later phases will be more difficult. (more…)
Published with permission from Toolbox for IT. The original post, “Shortening Development Times through Lean Integration” by Leigh Dow can be found here.
The Director’s Cut:
Shortening Development Times through Lean Integration
by Leigh Dow Director, Toolbox for IT
Spend a few minutes with David Lyle, Informatica’s VP of Product Strategy and you will learn three things. David is passionate about his work, he’s proud of the products they have created and he enjoys meeting with user groups. The Informatica team has developed software by not only listening to what their customers say they need, but maybe even more importantly observing what challenges their customers are trying to tackle through software implementations. The result? Embracing “Lean Integration”, a management system emphasizing continuous improvements and the elimination of waste in end-to-end data integration and process integration activities. (more…)
In my last post I introduced the concept of Fedegration as the ability to leverage and manage data and content across applications for new purposes and still leave it in place for use with the existing application.
I will now discuss how our team has built and integrated what I think is the best set of technologies for a Fedegration Platform.
Let’s hit the requirements first. I believe an ideal platform should: (more…)