It is often said that one of the hardest things in software development is naming things.
Just wanted to put up a shout out to Julie on her 100th blog. When we started DataShopTalk in Fall 2015, we had no idea how much traction and support we’d get from the community. DataShopTalk was always intended to fill the void of technical Spotfire/BI work in the oil and gas space and we are so surprised how well it’s done.
Especially from out contributors, among them Julie Schellberg now Sebby, started writing in August 2018, her first article was something about OVER commands. A consistently mysterious feature of Spotfire, Julie has tackled it and many others over the past two years.
This post is dedicated to Julie’s commitment to the Spotfire and BI community and we wish her happy writing and may her Spotfire never crash.
First, gather the people – get a team together. Find people who are onboard with your idea and are willing to put in a little extra effort to build an efficient workflow. Recruit people who understand the work processes and are willing to champion the movement towards achieving better data and better quality. For example, members on your team could include a subject matter expert, a data scientist, developer, and IT/Business Analyst.
Trust me, I get excited about a new data set just like anybody. I just want to tear straight to the good stuff and find those hidden correlations and to use all my fancy tests and methods. But before you get to that point, it’s important to run important preparation on your data – each a critical “Prep Step” that can save you time, rework, and wrong conclusions down the line.
Here’s where the sum’s greater than the parts.
When TIBCO combined the titan-like powers of Spotfire 4.0 and Microsoft SharePoint, they unleashed more than they bargained for with SharePoint WebPart. I’ve found that the integration of these platforms has more going for it than just leveraging visualizations and sharing them across industry-wide teams.
The real revolution is in data analysis and collaboration.
In 2013, I began working as a data analyst for Ruths Analytics and Innovations, a startup data science company in Houston, focusing primarily on Oil and Gas clients. I was looking for something different, and it was, considering I had been previously developing business intelligence solutions for federal agencies in DC.