Monthly Archives: February 2012
Data Replication Technologies are NOT all created equal
Recently on a long flight back home from the East Coast I decided to take the opportunity to reacquaint myself with some of the competitive offerings in the data replication space. As I read through the sea of whitepapers, PowerPoints, PDFs, and case studies, it became clear to me that they were all saying the same thing. Our data replication solutions are easy to implement, non-intrusive, heterogeneous, high performing, have low latency, reduces IT spend, provides continuous availability, blah, blah, blah. (more…)
Making Collaborative Learning Sustainable and Creating Best Practices
Last week I wrote about the role of collaborative learning in achieving a transformation to Lean Value Streams. To make it more challenging and take it to the next level, let’s assume that all the people involved in the learning scenario all work for the same company, but they are in different functional groups and may never work together as a team again. In other words, how can the lessons learned by the integration project team be communicated to other project teams? How can we make organizational learning sustainable? (more…)
Informatica Cloud Recognized by #Salesforce Customers for Data Integration
I’m pleased to announce that Informatica Cloud has once again been honored by salesforce.com customers with the AppExchange Best of ‘11 Award for Integration. Based entirely on user reviews for the Informatica Cloud listing on AppExchange, it’s clear that when it comes to Salesforce CRM and Force.com data integration requirements, Informatica Cloud has become the clear choice for salesforce.com customers. This is the fourth year in a row that Informatica Cloud has achieved this honor, and our free Data Loader Service continues to be the all-time most popular application on the AppExchange. (more…)
Data Governance and Technical Issues
In contrast to addressing the management and process issues, we might say that the technical issues are actually quite straightforward to address. In my original enumeration from a few posts back, I ordered the data issue categories in the reverse order of the complexity of their solution. Model and information architecture problems are the most challenging, because of the depth to which business applications are inherently dependent on their underlying models. Even simple changes require significant review to make sure that no expected capability is inadvertently broken. (more…)
Want To Quickly and Easily Identify New Incoming Data? Keep Reading to Find Out How …
For all the data quality developers – are you sure you’re using your standardization techniques efficiently?
Namecandy.com a website that compiles and analyses all the new names of babies, suspects that parents are seeking Google whacks, names that return a single hit only. Following are some real first names that are in the top thousand most popular names and let’s see how we can identify them as new contacts. What / who are new contacts? Names that do not exist in reference tables are deemed to be new data, for this exercise. In focus here is the Token Labeler and FirstName reference table.
Opportunities for Healthcare Organizations to Move Data Forward
In this video, Richard Cramer, chief healthcare strategist, Informatica, talks about the opportunities for healthcare organizations to move data forward. He touches on relationship analytics, master data management (MDM), data quality and Complex Event Processing (CEP). He specifically answers the following questions:
- What are some of the major opportunities for healthcare organizations to move data forward?
- What technology is most poised to deliver benefits to healthcare organizations today?
- How can Informatica help healthcare organizations in their quest to deliver proactive medicine?
Collaborative Learning in a Lean Transformation
Collaborative learning is essential for transforming work activities that involve a high degree of uncertainty and creativity into a lean value stream. These characteristics are common in enterprise integration initiatives due to unclear and inconsistent data definitions across multiple silos, rapidly changing requirements and lack of perfect knowledge around end-to-end processes. Traditional approaches generally end up propagating the integration hairball which is inefficient and wasteful – and certainly not Lean. You could say that these value streams are simply immature processes that lack standards and metrics, which is true, but the practitioners that are involved in the process don’t see it that way. They see themselves as highly skilled professionals solving complex unique problems and delivering customized solutions that fit like a glove. But yet, the outside observer who looks at the end-to-end process at the macro level sees patterns that are repeated over and over again and what appears to be a great deal of “reinventing the wheel.” (more…)
Informatica University…….Accelerate Your Return On Data
As we look at 2012 it is abundantly clear that the importance of “data” is on the rise….big data, data management, master data management (MDM), data governance….these major trends are all getting increased attention in business, technology and mainstream media. Considering that data management was even mentioned by President Obama during the recent State of the Union Address, it’s safe to say that data’s time has definitely come!
Successfully executing any one of these data-centered initiatives and realizing the desired ‘return on data’ requires one fundamental ingredient……data you and your business users can trust. After all, without confidence in the data you are relying on, it’s back to the old adage of ‘garbage in, garbage out’. Fortunately, Informatica’s relentless pursuit to be a leader in data integration means you have the right MDM, data quality and data integration tools to help get the job done. (more…)
People, Processes and Technology – Don’t Forget the TECHNOLOGY!
As a routine matter of delivering care, billing for services and operating their hospitals and physician practices, healthcare providers deal with patient’s protected health information all day, every day. Dealing with the data becomes routine and it’s easy for sometimes onerous security and privacy policies and procedures to be overlooked. While we’d all like that not to be the case, delivering healthcare (and getting paid for it) is a hugely complex undertaking and focusing exclusively on human processes and calling for constant vigilance and attention to detail can only go so far. (more…)
Data Governance and Systemic Data Management Issues
We have been looking at how data management issues can be classified, and in my last post I provided five categories, but broken them down into two groups: Systemic and System. The systemic issues are ones in which process or management gaps allow data flaws to be introduced. A good example occurs when consumers of reports from the data warehouse insist that the data sets are incomplete, and the root cause is that the processes in which the data is initially collected or created do not comply with the downstream requirement for capturing the missing values. (more…)


