Pride, Fear, and Results: Different Foci in Data Management careers

Earlier today, I was brainstorming with someone that inspired me in many ways over the recent months about how to engage data professionals to share more with each other.  One challenge, I phrased, could be many people in the data space are introverts which may hold them back from public speaking, blogging….  Her response got me thinking and I wanted to write about it to clarify my own thoughts.  What if it was not shyness or being an introvert that prevented people from asking questions but pride or fear?  This was not a natural thought for me as I often think of myself as someone at peace with making and learning from mistakes.  The suggestion made me to pause as its simplicity had weight to it.  Also, given I manage people it felt even more important to drill into this idea further.

Pride and fear were both emotions, at opposite ends of the spectrum, one about satisfaction about the achievements and the other about concern.  The word that stood out in common for both was “care”.  I looked it up in the Visual Thesaurus, and got the following semantic association:

When we care about something, whether it is data modeling, people following data standards or other best practices, it is often because we believe in their value and what they can do for our organization and customers.  Given how much fewer people in IT organizations focus on data architecture vs. programming for example, we see ourselves as guardians of these concepts as we seek to manage and meet our colleague and customers’ expectations.  We offer our aid, pay attention to details of a project in a way even the  tech leads may not so there can be fewer gaps as we give forethought to what may be necessary in future phases of a system.  Through this is often an uphill battle of explaining and justifying concepts for what is not only good for our organizations, but (I consciously realized) could be essential to our very own livelihood.

Few weeks ago, I had a chance to ask my SVP about how he shifted the executive perspective on the key metric of IT from cost per employee to customer satisfaction over the past several years.  His answer was “by focusing on the fundamentals”.  I sought to reflect upon this statement too.  What were the fundamentals we can apply to any field in which we operate?  What are the visible end results that are simple enough to understand, simple enough to use, while ensuring the the back-end stuff is handled to sustain the visible value?  What were the other core principles beyond customer and end-results focus?  I increasingly realized this is as much of an approach based on inner confidence and persistence as technical skills and vigor, and in fact even more so.

Will these dialogues change the way I look at data and people management?  It is like (truely) reading a book or paying attention to a dialogue. Each insight changes me just a bit more.  Like any new insight and understanding, I know these dialogues already had an impact on me.  I don’t believe the changes have to be drastic to be impactful.  Sometimes it takes only a little to get past the tipping point.  Sometimes it is an unexpected remark at a random brainstorm that resonate.  Being present and focusing on the end outcome is often what matters.

Lessons from Apple WWDC & Data Management – Part 2: Ubiquity

I paid for it, so I should be able to have access to it when and where I want it.  Moving from one computer to another, or for a mobile device shouldn’t be a barrier.  The interface should be intuitive and content accurate.  There should also be a mechanism to handle exceptions.  Yes, I am talking about iCloud’s music support but I could easily be talking about an organization’s business data and the same principles should apply.

Consumer technologies made IT’s job both easier and harder at the same time.  The computing power that used to cost tens or hundreds of thousands are not available for a fraction of the cost.  Specialized devices are being replaced by mobile apps (have you see Square on iPhone/iPad/Android?  Why need complex credit card machinery when you have accessibility anytime and almost anywhere).  Application designs are becoming more targeted also.  The limited real estate is getting developers and users alike to focus on the most important information.  Push alerts allow users to be notified when there is an update vs. having to run the weekly report for a comparison or waiting on an email.  Enterprise Workflow can now be accessible, practical, and useful at a smart phone near you.

What about information content and quality.  Apple’s new offering state if they know you have rights to certain data, it will be available to you on any of your registered devices.  If you have additional personal data (e.g. ripped CDs) you also have the option, for a modest but transparently stated fee, to make that available in the same platform.  Can your enterprise apps do that or does any data not centrally governed come with a large price tag?

The information age is challenging many paradigms.  I believe one is that of “acceptable data quality”.  In the past, we had more time to check and understand what the quality of the information was.  Now, given the pace of new data creation, we have a lot less time.  So we need to modify our thinking from traditional per-incident assessments to reusable and scalable exception handling processes.

The world is an interesting place.  This can be an adventure and a curse.  Wishing you a productive and fun journey.

Cheers

Lessons from Apple WWDC for Data Management

Yes, I really will attempt to draw parallels, even though I wasn’t at the event. I have however become a Mac user over the years and having seen how Apple’s approach is driving user and even corporate user behavior, I thought seeking parallels would be a useful exercise.

“PC free” was one of the key points of Steve Jobs’ presentation. With iCloud, Apple continues to cannibalize it’s own market (and likely others’ as well). iPods, except for the ultra portable ones still favored for the battery life, are no longer the hot sellers. Gone too are Flip and other technologies and vendors with the success of smart phones.

Lesson 1. Be aware of what’s coming, for others will
From tool vendors to IT professionals, I have seen many parties succeed or slow down based on their willingness to change and adopt. After the .com boom, the data profession lamented on how quick development had killed many data efforts. Many of the same groups also missed trends that others embraced, putting themselves in a tougher position. Lluck or executive support are still factors. More on that later.)

Apple didn’t give up the music store business with fewer iPods being sold. They reinvented and maintained, even expanded relevance through other services people could relate to.

What would it take data governance to move from maintaining standards to a business results focused service delivery. I mean data discovery, advanced analytical support. I refer to embracing agile techniques an EII/EDM like solutions. These would still rely on and make even more relevant data modeling and data standards. It would also make their value easier to describe and maintain.

More lessons and parallels coming soon

Cheers