Category Archives: Business/IT Collaboration
It’s never been a more exciting to be in the data management industry. With more and more organizations looking to make the most of their enterprise data, the need to do things better, faster & cheaper is ever increasing. It should come as no surprise then, that data governance continues to be an important initiative surfacing across industries of all types. Through data governance, organizations are looking to unleash the true potential of data and leverage it for competitive advantage.
Since this is such an important and relevant topic these days, we have a number of sessions next week at Informatica World designed to help your organization drive success with your data governance initiative, regardless of whether you’re just getting started or are looking to drive improvement in your current program. Here are just a few of the highlights surrounding data governance next week:
- Learn how to make data governance a competitive differentiator that identifies critical business processes, decisions, and interactions and establishes policies, processes, roles, responsibilities, and architectures to support them with trusted, secure data.
- Rob Karel, VP of Strategy at Informatica, moderates this panel discussion featuring customers detailing their successful implementations of holistic data governance.
- Learn about the bank’s journey to a successful data governance program, the supporting role Informatica has played, and what lessons other organizations can take away from Wells Fargo’s experiences.
This is just a sample of what’s in store. In addition to compelling sessions, you’ll also have the opportunity to hear and talk with Informatica executives and several of our customers who can help you on your journey to data governance success.
It’s not too late to register for Informatica World, check out the registration page for full program details. I hope to see you there next week in Las Vegas!
Integration technologies have been around for 20 years (as long as Informatica has been in business) and have proliferated in corporate IT. We are now at an inflection point in the business needs and maturity of integration best practices which we can call Next Generation Data Integration (DI). If we’re going to talk about the next generation, then first we need to put a stake in the ground to describe the current, or prior generation. Furthermore, for it to be a “generational” change, it needs to be a significant step-function improvement in how the work is done and in the business value generated by data assets. Or as Jim Collins said in Built to Last: Successful Habits of Visionary Companies, we need a Big Hairy Audacious Goal. (more…)
If your goal is to implement a world class Integration Competency Center (ICC) or COE, the best people you could find to make up the team already work for you. If you don’t currently have technical superstars on your team, you can still have a leading-edge world-class ICC that will “wow” your internal customers every time. You don’t need a world-class team to have a world-class competency center……you need a world-class management system. (more…)
Since the advent of middleware technology in the mid-1990’s, data integration has been primarily an IT-lead technical problem. Business leaders had their hands full focusing on their individual silos and were happy to delegate the complex task of integrating enterprise data and creating one version of the truth to IT. The problem is that there is now too much data that is highly fragmented across myriad internal systems, customer/supplier systems, cloud applications, mobile devices and automatic sensors. Traditional IT-lead approaches whereby a project is launched involving dozens (or hundreds) of staff to address every new opportunity are just too slow. (more…)
Ok, I know it’s a little late to post 2013 technology predictions, but with so many good ones published already, I figured I’d sandbag a little and not only post a few of my own but also share a few of my favorites so far. For me, it starts with Mary Meeker’s Internet Trends presentation. 2013 is going to be a year of “re-imagining” enterprise software, from social, to mobile, to cloud, to Big Data and Analytics.
Ever wondered if an initiative is worth the effort? Ever wondered how to quantify its worth? This is a loaded question as you may suspect but I wanted to ask it nevertheless as my team of Global Industry Consultants work with clients around the world to do just that (aka Business Value Assessment or BVA) for solutions anchored around Informatica’s products.
As these solutions typically involve multiple core business processes stretching over multiple departments and leveraging a legion of technology components like ETL, metadata management, business glossary, BPM, data virtualization, legacy ERP, CRM and billing systems, it initially sounds like a daunting level of complexity. Opening this can of worms may end up in a measurement fatigue (I think I just discovered a new medical malaise.) (more…)
The cover of the September 10 issue of ComputerWorld caught my attention; the headline was Rebirth of Re-Engineering. I was intrigued how the analysts and pundits would spin Business Process Reengineering since I hadn’t seen the BPR acronym much since it fell out of favor around the turn of the century. As it turns out, the NEW BPR is all about Lean and Agile and is being led by IT. Wow! (more…)
It’s that time of year again when Gartner publishes their annual Magic Quadrant for Data Quality Tools and Informatica has been positioned as a leader. Informatica continues to build off of a strong heritage of success in delivering enterprise data quality solutions through a continued focus on delivering industry leading data management solutions to address the end-to-end data quality lifecycle. In large part, our progress can be attributed to our product roadmap, specifically our recent release of Informatica Data Quality 9.5, aimed at helping organizations maximize their return on data. Let’s look at a few of the more significant additions for this release:
Data Governance and Stewardship
Data governance as a corporate initiative is certainly here to stay and increasingly, organizations are looking for ways to leverage technology more effectively in support of their governance efforts. In Informatica Data Quality 9.5 we’ve added new capabilities so data stewards can use technology to their advantage. In particular, new workflow and task management capabilities help automate otherwise manual, error prone data reconciliation steps. Armed with such capabilities, data stewards can effectively align the activities of both business and IT in addressing data quality issues without excessive overhead.
With the rise of social computing platforms, customer analytics has a new wealth of information from which to produce unforeseen insight into customer and product patterns. The challenge, however, is how to make sense of what is otherwise unstructured information. One solution is natural language processing (NLP) which uses probabilistic analytics initiatives. With NLP available in Informatica Data Quality 9.5 organizations can now make sense of free form text from feeds like Facebook or LinkedIn and use that to sharpen their decision making processes while harnessing the benefits of big data.
Data discovery, quite simply, is the process of uncovering specific types of data when its meaning is not otherwise known. With new data discovery capabilities now available in Informatica Data Quality 9.5, organizations can easily and effectively identify key pieces of information without the need for manual intervention. This is particularly of value in areas such as data masking, where the identification of sensitive information such as personally identifiable information (PII) is of utmost importance.
These are just a few of the capabilities introduced in Informatica Data Quality 9.5 last month. As is evidenced in the 2012 Magic Quadrant, we believe the innovation and roadmap for our products is clearly going in the right direction. We’re excited by what lies ahead and have plans to continue to drive new and innovative capabilities for the data quality market.
About the Magic Quadrant
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose
I told the head of the Enterprise Data Warehouse at a large bank, “you don’t have a data warehouse, you have 50,000 tables.” The issue is that the bank built the EDW without the necessary fundamentals in place. It wasn’t for lack of money; in fact the EDW was one of the biggest “money sinks” in the bank. The problem is that it was sitting on a sinking foundation.
One version of the truth isn’t achieved by putting all your data in one big system or one big database – that’s impossible. An enterprise data warehouse is indeed part of the solution, but it needs to be built on a solid foundation. What does a solid foundation look like? Here are five pillars for one version of the truth. (more…)