BA Webinar Series 08: Data: How To Get It and How To Use It

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 07: Testing, aka VV&A

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 06: What BAs Should Know About Software

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 05: Simulation

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 04: The Solution

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 03: Unified Theory of Business Analysis

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 02: Engagement Phases In Detail

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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BA Webinar Series 01: Requirements Traceability Matrices

Today I gave this webinar for the Tampa IIBA Lunch and Learn Series. The slides are here.

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Richard Frederick Lunch & Learn Webinar Series for Tampa IIBA

I got to know Richard Frederick when he gave a series of twenty lunchtime webinars for the Tampa chapter of the IIBA. In the interest of making his excellent material available as widely as possible, I am sharing, with his permission, links to all of the relevant Youtube recordings and PDF files. They are inspiring me to create my own series, which will begin shortly.

Mr. Frederick provides highly effective training to corporate clients in the areas of Agile processes, Business Analysis, Data Analysis, and more. I recommend that you engage his services at your earliest convenience!

Week 1 August 5, 2020
Dashboards and Robots: Data Mining and Machine Learning
video PDF

Week 2 August 14, 2020
Structured Language Requirements: Structured English and Structured Query Language (SQL)
video PDF

Week 3 August 21, 2020
Requirements and Testing: Understanding the 4 Quadrants of Testing
video PDF

Week 4 August 28, 2020
Natural Language Processing: Semantics, Morphology, Syntax, Linguistics
video PDF

Week 5 September 4, 2021
Semantics of Business Vocabulary and Rules: Dictionaries and Rule Books
video PDF

Week 6 September 11, 2020
INCOSE: Rules for Writing Requirements
video PDF

Week 7 September 18, 2020
IEEE EARS: The Easy Approach to Requirements Syntax
video PDF

Week 8 September 25, 2020
Waterfall and Agile Assembly Methods
video PDF

Week 9 October 2, 2020
Do More with Less: The 2 Steps to Efficiency
video PDF

Week 10 October 9, 2020
The Ten “V’s” of Big Data: Understanding Data Risk
video PDF

Week 11 October 16, 2020
Five Step to Automation: Getting Organized
video PDF

Week 12 October 23, 2020
The Numbers Game: Non-Financial & Financial Accounting
video PDF

Week 13 October 30, 2020
Data Transformation: Understanding Extract Transform Load (ETL)
video PDF

Week 14 November 6, 2020
Project Estimating: Twenty-Six Sprints
video PDF

Week 15 November 13, 2020
Agile Portfolio Management
video PDF

Week 16 November 20, 2020
Online Transaction and Analytical Processing
video PDF

Week 17 December 4, 2020
Earned Value EZ
video PDF

Week 18 December 11, 2020
Demand Management and the Efficient Frontier
video PDF

Week 19 December 18, 2020
Machine Learning EZ: Unsupervised & Supervised Learning
video PDF

Week 20 January 8, 2021
Data Storytelling EZ: Graphs, Charts, and Diagrams
video PDF

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Added IIBA-CBDA Certification Today

Today I sat for and passed the Certification in Business Data Analytics (CBDA) exam issued by the International Institute of Business Analysis (IIBA). It is the newest of the five active certifications I maintain. I sought this certification, as I have previously, simply to communicate the level of skill I’ve developed over the course of my career.

I signed up for the exam yesterday morning, read the 192-page Guide to Business Data Analytics the IIBA provides as a PDF (behind its paywall), and sat for it this evening. I mostly counted on my experience being sufficient to achieve good scores in the six knowledge areas, and that proved to be sufficient. The knowledge areas are:

Identify the Research Questions – 20% (Domain 1)
Source Data – 15% (Domain 2)
Analyze Data – 16% (Domain 3)
Interpret and Report Results – 20% (Domain 4)
Use Results to Influence Business Decision Making – 20% (Domain 5)
Guide Organization-level Strategy for Business Analytics – 9% (Domain 6)

Since I’ve been working with large volumes of data in many contexts over a long period of time, most of the general questions were tractable. Where I felt weakest was on questions about a myriad of specific diagram types that might have been in the guide mentioned above, but not discussed in detail. For future reference I’ve listed the specific tools and diagrams I found mentioned in the guide. Many of these are common and straightforward, but it would have been a better idea to review some in more detail, particularly those that were actually discussed near the end of the PDF, if only briefly (e.g., with an example accompanied by one or two short paragraphs).

Activity Diagram
Architectural Diagram
Area Chart
Autocorrelation Plots (Box-Jenkins method)
Bar Chart
Box Plot
Box and Whisker Plot
Box-Cox Plots / Normal Transformation
Bullet Chart
Business Model Canvas
Butterfly Chart
Chord
Contour Plot
Correlation Map
Cumulative Error Plot
Logical Data Flow Diagram
Physical Data Flow Diagram
Decision Tree
Density Plot
Entity Relationship Diagram
Error Residue Graph
Flow Diagram
Funnel Chart
Fusion Chart
Heat Map
Histogram
Lag Plot
Line Chart
Log Plot
Lognormal Plot
Map Plot
Onion Diagram
Organizational Chart
Pair Plot
Pie Chart
Principal Component Analysis (PCA) Plot
Probability Distribution Graph
Receiver Operating Characteristics (ROC) Curve
Residual Plot
Run-Sequence Plot
Scatter Plot
Sequence Diagram
Silhouette Plot
Spider Chart
Stakeholder Matrix
Sunburst Chart
Venn Diagram
Waterfall
Weibull Plot

No one person uses all of them or could reasonably be expected to know them, so maybe that’s the rationale for the super low passing threshold, which may only have been 40%.

The exam involved 75 questions in 120 minutes. There was little specific mention of Artificial Intelligence or Machine Learning techniques, except as generalities.

The interesting thing about this one is that it has to be renewed every year (instead of every three), but you only need 20 CDUs (instead of the 60 that are typical for some my other certs), so the idea is clearly that you stay engaged with the material to keep up with ongoing developments.

I don’t know how useful this will be. As of the end of November only 117 people had earned it. (Edit: 159 as of 3/17/21).

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