Blog

5 Ways to Increase Speed of Delivery

One of the most common problems I run into in while building Spotfire projects is requests that are too large. They begin simply with a request for data or a modification to an existing project. However, it quickly balloons into more and more until we’ve created a monstrously huge project. One of these monsters jumped on my desk last August, and I’ve been working on it since then with a few stops and starts. Last night, I wrapped up a week of work in Midland. I was about to shut down my machine when I realized I wanted to write up what I’ve learned about how to increase the speed of delivery in these monster project situations.

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Data Limiting with Subsets

Welcome to part 6 of my Spotfire Data Limiting Series. The first post in the covered data limiting with the filter and data panels. The second post talked about data limiting in the web player. The third post discussed limiting using filtering schemes. Then, I covered limiting with marking. Last week touched on limiting with expressions. This week, we talk about data limiting with subsets.

Very few users know about limiting with subsets. When I took TIBCO’s Spotfire Essentials course, subsets were covered. I subsequently eliminated them from my own Essentials training as there was just too much to learn. I don’t use them very often, so this post was a great opportunity for me to revisit and rethink when they are most useful.

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Why use Python?

I always enjoy writing Python code. It’s fun, expressive, and my go to language when starting a new project. Python has exploded the past few years becoming the language of choice in many areas. No area has been affected more than data science and analytics.

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Data Limiting With Expressions

Welcome to part 5 of my Spotfire Data Limiting Series. The first post in the series covered data limiting with the filter and data panels. The second post talked about data limiting in the web player. The third post discussed limiting using filtering schemes. Last week, I covered limiting with marking. Now, we are on to limiting with expressions. As a new Spotfire user, I was enamored with filtering schemes, but as my skills developed, limiting with marking became my go-to method.

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Key Messages from the Gartner Analytics Conference

Last week, I attended the Gartner Analytics conference in Orlando. It was my first time attending a Gartner event. Granted, I have previously read their research. The scale of the event impressive. The speakers were top-notch, and the content was relevant to the challenges I deal with every day. To summarize the most important things learned, I developed 3 key messages from Gartner. They contextualize the 7 presentations I attended into important themes important for analytics at any company. Read on if…

  • Your company is struggling with delivering data to users in a timely fashion.
  • You would like to use analytics to be more innovative.
  • Your analytics environment seems confusing and chaotic.
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Data Limiting with Marking

Welcome to part 4 of my Spotfire Data Limiting Series. The first post in the series covered data limiting with the filter and data panels. The second post talked about data limiting in the web player. The third post discussed limiting using filtering schemes. Now, we are on to limiting with marking, which many people know as creating details visualizations. This is one of my favorite features of Spotfire, and it’s one of the application’s many interactive features.

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Developing Spotfire Skills

A Spotfire user reached out to me on LinkedIn last week asking about developing Spotfire skills. He wanted to know what skills to focus on and how to develop them. I have LOTS of ideas and thoughts on this. Therefore, this week’s post looks at building Spotfire skills based on roles in the oil and gas industry.

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