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July 2026 DataDNA – Global AI Adoption Workforce Displacement Index Analytics Challenge

July 2026 DataDNA – Global AI Adoption Workforce Displacement Index Analytics Challenge

Submission Deadline

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Welcome to the Data DNA - Dataset Challenge! This month we will be analysing the Global AI Adoption Workforce Displacement Index Analytics Challenge Dataset

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Why Participate?

AI-Powered Feedback

Every submission receives detailed scores across four dimensions: Storytelling, Design, Technical, and Insights. Know exactly where you excel and where to improve.

Build Your Portfolio

Your best work becomes part of a verified portfolio that shows potential employers your actual skill levels, not just claims on a CV.

Earn Your Tier

Progress from Beginner to Intermediate to Advanced as you complete more challenges. Your tier reflects your demonstrated data visualisation skills.

How We Score Your Work

Our AI reviewer evaluates every submission across four dimensions:

1-5

Storytelling

Does your visualisation tell a clear, compelling story? We look for logical flow, context, and narrative progression that guides the viewer through your insights.

1-5

Design

Is your dashboard clean, readable, and visually appealing? We evaluate layout, typography, colour choices, and visual hierarchy.

1-5

Technical

Does your work demonstrate strong technical skills? We assess DAX usage, data modelling, chart type selection, and interactivity implementation.

1-5

Insights

Do you provide meaningful analysis? We look for non-obvious discoveries, actionable recommendations, and demonstrated business impact.

A score of 3 represents solid, competent work. Scores of 4-5 require exceptional evidence in that dimension.

What Happens After You Submit?

1

AI Review

Within 15-30 minutes, our AI reviewer analyses your submission and generates personalised feedback across all four scoring dimensions.

2

Email Feedback

If you opted into feedback emails, you'll receive your scores, strengths, areas for improvement, and a pro tip to help you level up.

3

Portfolio Draft

If you selected portfolio creation, a draft entry is added to your profile. Review it, refine your description, then publish when you're ready.

8 Days Remaining
Prize Pool: 2 eBooks from Packt,The Data Analytics Interview Software worth $500!

Operational & Analytical Challenges

Governments, policymakers, and employers face growing uncertainty as AI adoption accelerates across industries and labour markets, and this dataset highlights several critical challenges:

Operational & Analytical Challenges

  • Fragmented visibility across countries, industries, skill categories, and time periods makes it difficult to understand the overall impact of AI on the global workforce.
  • Variations in AI adoption across developed and emerging economies obscure where workforce transformation is accelerating and where intervention is most needed.
  • Workforce displacement risk differs significantly across industries and skill categories, making vulnerable segments difficult to identify without structured analysis.
  • AI adoption has accelerated since the emergence of generative AI, creating challenges in measuring how rapidly labour markets are changing over time.
  • Job displacement and job creation do not always move at the same pace, making it difficult to determine whether AI is creating sustainable employment opportunities or widening workforce gaps.
  • Reskilling investment varies considerably across countries and industries, making it challenging to identify where funding is insufficient relative to workforce disruption.
  • High AI adoption does not always translate into positive workforce outcomes, masking differences in organisational readiness, policy maturity, and labour market resilience.
  • Differences in digital infrastructure, AI policy maturity, and STEM talent availability create uneven AI adoption patterns that are difficult to assess without cross-dimensional analysis.
  • Limited visibility into the relationship between AI adoption, displacement risk, reskilling investment, and employment outcomes weakens strategic workforce planning and policy decisions.
  • Cross-dimensional interactions (e.g., country × industry × skill category × time) are complex and often under-analysed, hiding opportunities for targeted investment and workforce development.
  • Variations in data confidence, reporting quality, and regional adoption patterns introduce uncertainty when comparing labour market trends across countries.
  • Difficulty connecting AI adoption trends to broader economic outcomes—such as workforce resilience, employment growth, skills development, and long-term competitiveness—limits evidence-based policymaking and strategic investment decisions.

What happens after you submit

Instant confirmation

You'll receive a confirmation email immediately with links to your portfolio entry and profile.

AI feedback within 30 minutes

Your work is scored across storytelling, design, technical depth, and insights. Detailed feedback arrives by email.

Scores on your portfolio

A draft portfolio entry is created automatically. Once you publish it, your AI scores appear on your public profile and the portfolio gallery.

Certificates for winners

Certificates are emailed to winners after the challenge closes and results are finalised.

Please note: Resubmissions are not permitted, to ensure fairness for all participants.

How to submit your entry

  • Step 1. Follow Onyx Data on LinkedIn (it’s Ok if you already follow Onyx Data).
  • Step 2. Share a LinkedIn post on your profile with your visualisation image and tag directly using @ mention to:
    @OnyxData @SmartFramesUI @DataCareerJumpstart
    and use the hashtag #dataDNA.
  • Step 3. In your post, share an image of your visualisation or dashboard (remember, it must be a single image).You can directly click on below button directly to share !

 

DataDNA Challenge Submission Form

Fill out the form to participate

Requires a portfolio on DataDNA so we can view your work
PNG, JPG or WebP, maximum 10 MB. Required for all entries — shown on your portfolio card, to the AI reviewer and to judges.

Judging Criteria for Power BI Reports

Business users use reports to make data-driven decisions. That’s why reports are called effective if they enable users to drill down and filter data quickly and intuitively to find answers to any question they might have and analyze data in all possible directions and dimensions.

We will evaluate:

1) How easy is it to understand the data? (Max 10 points)

  • Is too much text used for explanation?
  • Are the indicative colors in charts instinctually understandable?
  • Does it tell a story?

2) How easy-to-use is the report? (Max 14 points)

  • Cross-chart filtering implementation across the report. Can other visuals provide relevant data as the user explores the report?
  • Response time
  • Drill Down: Multi-layer data exploration. Can the user drill down and gain additional insights within the report?
  • Use of tutorial overlays and other elements to assist new users. Can a new user start using this report straight away with just the guidance provided within the report itself?

3) How good is the report design and is it suitable for its purpose? (Max 10 points)

  • Visual design: Is the overall look consistent, no empty spaces, no overcrowding?
  • Interface design: Are there unnecessary visualizations/buttons/complexity in use?
  • UX design: Is the produced report usable?
  • Report design: Is the main challenge answered?
  • Technical: Are all the fonts used the same, are the sizes readable?

You are encouraged to use various techniques at your disposal, such as tooltips, drill-throughs, drill-downs, cross-chart filtering, and page navigation features, to enhance your analysis.

 

Upcoming Webinar

No upcoming webinars available.

Past Webinar

Top 5 Pharmacy Sales & Profitability Reports: Power BI Best Practices Review

Top 5 Pharmacy Sales & Profitability Reports: Power BI Best Practices Review

📅 27/02/2026 ⏰ 8:00 pm
Learn more

Timeline

01 July 2026
Challenge Begins

Challenge begins and entries accepted

24 July 2026
Deadline for all entries to be submitted

No form submitted after the deadline

25 July 2026
Entry Review and Winner Selection b

Review and selection will be done between 25-30 July

31 July 2026
Winners Announcement

Winner will be announced and notified

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April 2026

In this challenge, you will analyze an operational dataset from a global maritime logistics company managing cargo movements across international terminals. The data includes cargo transactions by terminal and vessel, with supporting dimensions for time, regional hub (EMEA, APAC, AMER), vessel category, and operations. Your objective is to identify the impact of the 2021 Suez disruption, uncover infrastructure bottlenecks, and detect efficiency anomalies — helping leadership reduce cargo movement times by 15% through data-driven terminal optimization.

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January-February 2026 DataDNA – Pharmacy Sales & Profitability Analytics Challenge

February 2026

In this challenge, you will analyze a dataset representing a European pharmacy chain distributor operating across multiple European countries. The dataset includes daily sales transactions by pharmacy and product, with supporting dimensions for time, geography, and product hierarchy.

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December 2025

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November 2025

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Become a Sponsor

FAQ

– Follow Onyx Data on LinkedIn.

– Share a LinkedIn post with your visualization image and tag @OnyxData, @SmartFramesUI, @DataCareerJumpstart and @packt with #dataDNA.
– Share an image of your visualization or dashboard (single image only).
– Complete the entry form listed.

Only one entry is accepted for the challenge. After your first entry, no further entries will be accepted.

The challenge is open to all BI and data visualization tools.

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