KEN BARLOW
DATA ANALYTICS PAGE

THIS PAGE HIGHLIGHTS MY EXPERIENCE IN THE 
DATA ANALYTICS ARENA. YOU ALSO GET SOME INSIGHT INTO
MY EXPERIENCE AS A PROCESS ENGINEER, AS I AM ORGANIZING
THIS WORK EFFORT USING AN “INFORMAL” AGILE METHODOLOGY
(SO YOU SEE SOME SPRINT PLANNING, SOME  RELEASE NOTES, ETC).

VISIT MY PAGE ON PUBLIC TABLEAU

EXERCISE: #1

Data Analytics Growth in the NFL (Tableau & PPT)

My first official Data Analytics project with a sports focus was a review that I did in Excel and PPT using NFL data analytics staffing data from ESPN Analytics.

EXERCISE: #3

Sales Region Comparisons
(Tableau)

So for the Simplilearn Master’s Program – a collaborative Data Science Certification program with IBM – I was asked to create a sales dashboard in Tableau. See mockup and then my interpretation.

EXERCISE: #2

Animating Players in Python (Python)

In preparation for sprint #1, I completed a research exercise to compare and contrast various options for implementing animations using player tracking data.

They are: 1) an animated gif, 2) a video or 3) animated frames within a Python script (using Plotly).

FEATURES

  • easily stop and start animation

  • hover over players to get additional player details

  • be designed to utilize player tracking data exported from Tableau

SPRINT #1:

Preparing an NFL Offense for a Rematch (Tableau & Python)

A data-driven report for offensive coaches and players to review strategic plays from the previous matchup with this opponent.

Leverages database design via Tableau, animated reporting using Python and Plotly. Web publishing facilitated via github and Tableau web page integration components.

 
FEATURES
  • Data-oriented dashboard to review strategic plays
  • Data managed in Tableau
  • Simple download of player tracking data for input to python animtion script
  • Animated plays published to the web and included in dashboard per pattern
 

SPRINT #2:

Due April 23

User Stories accepted for this sprint: 

  • “Within the Game Prep Analysis system, a user should be able to view complete details for Red Zone attempts using actual play results.”

     

  • “Within the Sports Data Analysis, I want to see comparisons among staffing levels for NBA and Hockey teams – and an update of current levels using an automated way to pull data from team websites”.

  •  “I want to see dashboards in Tableau that present sprint summary info and use data analytics graphs to illustrate key points of my resume.”

NOTES:

STANDUPS for Sprint #2

  • STANDUP #1 (Apr 12) Some basic website clean-up for the start of the sprint and now I will start with the research for improving the Red Zone reporting.

  • STANDUP #2 (Apr 15): Somewhat blocked by my IBM Data Science & Business Analytics Certification for Tableau as I need to take 11 3-hour in-person classes over the course of the next few weeks. Working on the Tableau resume dashboards today.

RELEASE NOTES go here.

THE CLOUD.

While I am a “low code” advocate – believing that an organization can most effectively leverage data analytics tools as new solutions become available via the cloud – my experience teaches me to be pragmatic. Having built a software platform, I understand marketing claims vs. reality, and I believe that having a deep understanding of the basics – like Python, R and SQL are essential to leveraging the advanced technologies of Tableau, ChatGPT, GenAI, etc. 

Below I have listed the data analytics technologies in which I am specifically focused. Regression modeling, Machine Learning and generative AI modeling are some of the areas, in particular, that I am studying in more detail.  

UPDATE: I just signed up for a 4-6 month Data Science certification program through IBM where I will get more experience with SQL, Tableau, Machine Learning and Generative AI tools. 

  • Python for data extraction
  • R for data calculations
  • SQL for relational database design and raw data access
  • Tableau for data tables and data visualization
  • RESTful APIs / JSON / PHP and Oracle APEX for presenting data
  • Generative AI models with solutions like ChatGPT

"Over the course of the last 10 years, 15 years, Almost everyone would tell you ... It is vital that you learn how to program. in fact, it is almost exactly the opposite. It is our job to create computING technology, such that nobody has to program. ... Everybody in the world is now a Programmer. This is the miracle of artificial intelligence." (video)

EXERCISE: (in sprint #2)

Considering an NBA or NHL Growth in Analytics Study

I’m considering using Python to visit pro sports teams websites and download data. I can leverage Python, some of my web skills – and then upload the results into Tableau for analysis. I need to get into some regression analysis as part of that effort as well.

EXERCISE: (in plan)

Blitz Strategy and Programming in R

Next, I plan to tackle RStudio for my next major project which will be recreating research done by an NFL Big Data runner-up who now works for the Cleveland Browns, Dom Borsani. His entry in 2023 seems to be one of the best examples of developing an analytics solution that can be used and adjusted every week of the NFL season.

BUSINESS PROCESS ENGINEER

While I understand the principles of BPR (Business Process Reengineering) and business transformation, I tend to find myself in new situations in which there are no existing business processes. I crave structure, so in these cases I create both documented processes to create structure and models to articulate our strategy. Here is one example – an overview of our eGov Strategies implementation efforts for new city and county websites:

  • Kickoff Call w/ Project Leaders & Project Executive
  • eGov Roadmap schedule and meetings
  • eGov Roadmap (short-term plan for content / long-term plan for website)
  • Agile Development of Custom Solutions
  • Content Jumpstart
  • Training and Website Soft Launch 
 
In 1997, I created a “5 Phases of Government Websites” model that was featured in Government Technology magazine, the public sector’s leading technology trade magazine.  It outlined how city and county websites would evolve from simple web pages with contact information to online services that that re-invent how government services are delivered using the Internet. 

"The collaboration with the business has to be one of the pillars of any data and analytics organization. ... We shouldn't just build it, throw it over the wall, and assume good things will happen. ... We are internal consultants. You have to embrace the Change Management.

THANK YOU FOR YOUR INTEREST! THE BEST WAY TO REACH ME IS TO SEND ME A MSG AT

317-730-0019 | Email Me