The Data Consumption Continuum
Details
Join us on Tuesday, September 24th for a presentation from Dalton Ruer, data scientist storyteller, about streamlining the process of enabling people in an organization with data.
Agenda:
6:30 – Food and networking
7:00 – Presentation from Dalton
About the Talk:
Your data isn’t valuable. More to the point your data isn’t your biggest asset it’s your biggest expense.
You’ve probably been feeling that way for a long time yet seeing it in print probably seems odd. You spend boatloads of money training your resources so that you can capture data. Backup the data. Protect the data from viruses. Replicate your data across data centers in case of emergency. Yet it’s still just amounts to terabytes of 0’s and 1’s.
30 years in the IT industry has taught me that all of those are good things. It’s also taught me that they are expensive things. None of which makes your data valuable. The only true value are the insights that are hiding in your data. My driving philosophy is that your data is like a gourmet truffle from the world’s greatest chocolatier which serves no purpose until it’s consumed.
Static reporting. Guided analytics. Self-service analytics. Predictive analytics. Story telling. No doubt each has independently garnered tons of press as ways to consume data. The truth is that they are only parts of the entire Data Consumption Continuum. In this session I will share the lessons I’ve learned, that to help you enable your human resources become more fluent in consuming data and effectively move along the entire continuum as data preparers and data consumers. I’ll also share the mistakes I made along the way so that you can avoid the same traps.
About the Presenter:
Dalton Ruer is a Data Scientist Storyteller. He is a seasoned author, speaker, blogger and YouTube video creator who is best known for dynamically sharing inconvenient truths and observations in a humorous manner. The passion which Dalton shares thru all mediums moves and motivates others to action. You can read more about Dalton's work at http://qlikdork.com/.