Tag Archives: Business Benefits

In a Data First World, IT must Empower Business Change!

IT must Empower Business ChangeYou probably know this already, but I’m going to say it anyway: It’s time you changed your infrastructure. I say this because most companies are still running infrastructure optimized for ERP, CRM and other transactional systems. That’s all well and good for running IT-intensive, back-office tasks. Unfortunately, this sort of infrastructure isn’t great for today’s business imperatives of mobility, cloud computing and Big Data analytics.

Virtually all of these imperatives are fueled by information gleaned from potentially dozens of sources to reveal our users’ and customers’ activities, relationships and likes. Forward-thinking companies are using such data to find new customers, retain existing ones and increase their market share. The trick lies in translating all this disparate data into useful meaning. And to do that, IT needs to move beyond focusing solely on transactions, and instead shine a light on the interactions that matter to their customers, their products and their business processes.

They need what we at Informatica call a “Data First” perspective. You can check out my first blog first about being Data First here.

A Data First POV changes everything from product development, to business processes, to how IT organizes itself and —most especially — the impact IT has on your company’s business. That’s because cloud computing, Big Data and mobile app development shift IT’s responsibilities away from running and administering equipment, onto aggregating, organizing and improving myriad data types pulled in from internal and external databases, online posts and public sources. And that shift makes IT a more-empowering force for business change. Think about it: The ability to connect and relate the dots across data from multiple sources finally gives you real power to improve entire business processes, departments and organizations.

I like to say that the role of IT is now “big I, little t,” with that lowercase “t” representing both technology and transactions. But that role requires a new set of priorities. They are:

  1. Think about information infrastructure first and application infrastructure second.
  2. Create great data by design. Architect for connectivity, cleanliness and security. Check out the eBook Data Integration for Dummies.
  3. Optimize for speed and ease of use – SaaS and mobile applications change often. Click here to try Informatica Cloud for free for 30 days.
  4. Make data a team sport. Get tools into your users’ hands so they can prepare and interact with it.

I never said this would be easy, and there’s no blueprint for how to go about doing it. Still, I recognize that a little guidance will be helpful. In a few weeks, Informatica’s CIO Eric Johnson and I will talk about how we at Informatica practice what we preach.

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Posted in B2B, B2B Data Exchange, Big Data, Business Impact / Benefits, Data Integration, Data Security, Data Services, Enterprise Data Management | Tagged , , , | Leave a comment

Non-Traditional Challenges To Achieving Data Quality (Part 3)

In my last posting, I introduced the 4 Data Quality Gap Areas that are associated with the non-traditional challenges to achieving data quality success and discussed in some detail the Data Quality Expectations Gap. In this post, I will cover the Positioning Gap.

The Data Quality Positioning Gap

Once we have identified our customers, determined what motivates them and defined the offer, we need to market or “position” our solution. And it goes without saying that we need to do this within the context of what problem we are trying to solve. Enter the third non-traditional challenge…….data quality is incorrectly positioned as an end, rather than the means. More times than not, this is the direct result of not understanding customer motivators as outlined in my previous post on the Expectations Gap. We erroneously conclude that the customer is looking for data quality and we further perpetuate the mismatch between expectation and message. (more…)

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Posted in Data Integration, Data Quality | Tagged , , , , | 1 Comment