Tag Archives: architect
Adrian gathered experts and built workgroups to dig into the issue and do root cause analysis. The workgroups came back with some pretty surprising results.
- Most people expected that “incorrect data” (missing, out of date, incomplete, or wrong data) would be the main problem. What they found was that this was only #5 on the list of issues.
- The #1 issue was “Too much data.” People working with the data could not find the data they needed because there was too much data available, and it was hard to figure out which was the data they needed.
- The #2 issue was that people did not know the meaning of data. And because people had different interpretations of the data, the often produced analyses with conflicting results. For example, “claims paid date” might mean the date the claim was approved, the date the check was cut or the date the check cleared. These different interpretations resulted in significantly different numbers.
- In third place was the difficulty in accessing the data. Their environment was a forest of interfaces, access methods and security policies. Some were documented and some not.
In one of the workgroups, a senior manager put the problem in a larger business context;
“Not being able to leverage the data correctly allows competitors to break ground in new areas before we do. Our data in my opinion is the ‘MOST’ important element for our organization.”
What started as a relatively straightforward data quality project became a more comprehensive enterprise data management initiative that could literally change the entire organization. By the project’s end, Adrian found himself leading the data strategy of the organization.
This kind of story is happening with increasing frequency across all industries as all businesses become more digital, the quantity and complexity of data grows, and the opportunities to offer differentiated services based on data grow. We are entering an era of data-fueled organizations where the competitive advantage will go to those who use their data ecosystem better than their competitors.
Gartner is predicting that we are entering an era of increased technology disruption. Organizations that focus on data as their competitive edge will have the advantage. It has become clear that a strong enterprise data architecture is central to the strategy of any industry-leading organization.
For more future-thinking on the subject of enterprise data management and data architecure see Think ‘Data First” to Drive Business Value
What would the ideal data architecture of the year 2020 look like?
Informatica want’s to know how YOU would answer that question. For this reason, we’ve created the Informatica Architect’s Challenge, a chance for YOU to share how you would approach enterprise data architecture differently. Send us your proposal and you could win 100 iPad Minis for the school of your choice.
There are a lot of challenges to think about here, but let’s start with these:
- Organizations are requiring dramatically faster delivery of business initiatives and are unhappy with the current performance of IT. Think this is “marketing hyperbole?” See the McKinsey survey.
- Data in most organizations is highly fragmented and scattered across dozens or hundreds of different systems. Simply finding and prepping data is becoming the majority of the work in any IT project.
- The problem is only going to get worse as cloud, 3rd party data, social, mobile, big data, and the Internet of Things dramatically increase the complexity of enterprise data environments.
Data is the one thing that uniquely differentiates your organization from its competitors. The question is: How you are going to architect to deliver the data to fuel your future business success? How will you manage the challenges of increasing complexity while delivering with the speed your organization requires?
It’s a chance make a positive contribution for education, while at the same time gaining some professional visibility for yourself as a thought leader. We can’t wait to see what you’ll create!
For additional details, please visit the Informatica Architect’s Challenge official page.
I’m looking forward to doing a Webinar on data virtualization this Thursday, April 22nd. Why? Because this is the single most beneficial concept of architecture, including SOA, and it’s often overlooked by the rank-and-file developers and architects out there. I’m constantly evangelizing the benefits of data virtualization, including integrating data from many and different data sources in real-time, and enabling query-based applications to get data from multiple systems.
The idea is pretty simple, really. Considering that there are many physical database schemas within most enterprises, and typically no common view of the data, data virtualization allows you to map many physical schemas to virtual schemas that are a better representation of the business. For example, a single view of customer data, sales data, and other data that has the same logical meaning, but may be scattered amongst many different physical database systems, using any number of implementation models. (more…)