Data Reliance

It’s definitely difficult to escape the heavy role that data plays in our daily lives.
While I consider my current occupation a (meager) student and current job-hunter, I still find myself relying upon a plethora of data sources and hard data with which to make decisions about my job hunt. From data from corporate partners and recruiting pamphlets (more qualitative data), to specific questionnaires which try to put me into specific quantitative buckets (such as what is my GPA, years of work experience, etc.), I constantly have to broadcast myself based on very specific data points.
This can be especially difficult to do when GPA is a standard basis and replicable across multiple student profiles – so I find myself broadcasting very qualitative data points into the social media channels I participate in to fill in the quantitative gaps. From LinkedIn, Twitter, personal blogs, and even this MIS Community site (hello, Temple!), I rely upon these (self-controlled!) electronic profiles to demonstrate to future employers whether I am a qualified employee candidate.
However, it truly is this mix of quantitative and qualitative data which shapes me into the student/job-candidate that I am.
Upon which types of data do you rely?
Topics of Conversation
I’m a visual person.
It’s true. I like building presentations and visually representing text and numbers. I find it easier to relate to.
I was curious today to see what topics I’ve generally been writing about, and what language I’ve been using to explain ITM and this blog. Well, Wordle has a program for that!
Below is the visual representation of this blog and what I’ve been writing. (Spoiler Alert: I’m interested in Business!)
What other topics would you like to read about here? Send me a message or comment below!
IT is Creative!
Just a quick thought as I move from office to office:
I wrote last week about an idea for companies to remain competitive, they need to adopt new technologies to automate best practices in the work space (see “Automate or Perish”). However, I didn’t think about the first requirement before companies can even reach the process of automation: Innovation. Companies must invest in and foster innovation, and build a culture of creativity before they can begin to think about automation.
IT has a bad reputation for being blandly analytical, focused on the hard data, down in the trenches. But even though IT departments build systems and automate processes, does this not require a certain level of creativity and innovation? How do organizations, especially those with legacy systems and inherited (read: grossly outdated) processes, encourage and develop employees to be creative and innovative?
Sometimes the answer is simply to employ a program whereby employees submit projects, ideas, or full proposals to try something new. An open forum works well too. A dedicated innovation budget – no matter how small – is a necessary inclusion.
If you are in a leadership role within a technology company, make sure that you encourage your team to bring new ideas and projects to the table. Remember that, as Thomas Edison found, there will be many ways not to create the next best thing, but it takes those attempts to rule out failing options. There must be investment – even in the small research projects – into innovation and creativity in IT.


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