Tag Archives: Informatica
Queensland Police Service Case Study: Use Your Bad Data To Build A Compelling Data Quality Business Case
Some might think that building a data quality business case is difficult and complicated – but it doesn’t have to be.
At InformaticaWorld, I had the pleasure of meeting Graeme Campbell, ex manager of the client services group at Queensland Police Service (QPS) in Australia, where he delivered a compelling presentation titled, Queensland Police Drive Out Crime with Informatica. My key takeaway: build a simple, business-focused and results-oriented business case that inspires action. (more…)
A recent trip to a supermarket in Telluride, Colorado struck me as a funny place to find an analogy for data quality, but there it was. You see, supermarkets here require you to bring your own bags to cart your groceries home. Those brown disposable plastic bags are banned here – the town has made a firm commitment to the philosophy of Reduce, Reuse and Recycle. By adhering to this environmental philosophy, data integration teams can develop and deploy successful data quality strategies across the enterprise despite the constraints of today’s “do more with less” IT budgets.
In the decade that I’ve been in the Information Management space, I’ve noticed that success in data integration usually comes in small increments – typically on a project by project basis. However, by leveraging those small incremental successes and deploying them in a repeatable, consistent fashion – either as standardized rules sets or data services in a SOA – development teams can maximize their impact at the enterprise level.
Are you delivering measurable business value (e.g., compliance/risk reduction; efficiencies/cost reduction; growth; strategic differentiation) from data management programs and investments? Hopefully many of you can say that yes, through traditional investment in data management best practices, skilled resources and enabling technologies you have provided business value. But for many, the business value delivered is often less than promised or anticipated – and it’s even more difficult to get the necessary funding and prioritization to scale the solution to deliver greater value. Why does this business value ceiling exist and why is it so difficult to break through?
Prevalent data management initiatives (i.e., data integration, data quality, data archiving, data masking, master data management, data warehousing, business intelligence, analytics) when managed as tactical, IT-driven efforts often deliver solid returns within the targeted environment or business area. But efforts to scale these solutions to support cross-enterprise objectives often crash and burn. To break through this business value ceiling – and maximize your return on data – senior business leaders must finally accept accountability and establish sustainable data governance practices within the organization. (more…)
I just came back from MicroStrategy World. There were many conversations about social, mobile, cloud and big data. There was strong interest in cloud, clear adoption of mobile, and some big data adoption. eHarmony had a great presentation about how they handle big data with Informatica, and how they’re starting to use Hadoop with Informatica HParser running on Hadoop for processing JSON.
But that wasn’t the number one conversation. The one topic that everyone was interested in – and I talked to nearly 100 customers and partners over four days – was creating new reports faster, or Agile BI. (more…)
I recently had the opportunity to meet with the board of directors for a large distribution company here in the U.S. On the table for discussion were data quality and data governance, and how a focus on both could help the organization gain competitive advantage in the market. While I was happy to see that this company had tied data quality and data governance to help meet their corporate objectives, that’s not what caught my attention. Instead, what impressed me the most was how the data quality and data governance champion had effectively helped the rest of the board see that there WAS a direct link, and that with careful focus they could drive better business outcomes than they could without a focus on data at all. As it turns out, the path to success for the champion was to focus on articulating the link between trusted data — governed effectively — and the company’s ability to excel financially, manage costs, limit its risk exposure and maintain trust with its customers. (more…)
Lean Integration: An Integration Factory Approach To Business Agility is nearing its one-year publication anniversary and is already in its third printing – not to mention all the copies distributed through the various eBook formats. The question is why? (more…)