task-square Assessment

Data & AI Literacy Insight:

DATA LITERACY SCORE

  • At what stage is your organization in its data maturity journey?
  • Which categories are strong, and which require further investment?
  • What are the hidden barriers within your data culture?
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23%
Data-driven companies are 23% more profitable.
21%
Only 21% of employees in companies are data literate.
87%
87% of data projects fail due to a lack of skills and capabilities.
  • clock 20-25 minutes
  • questionmark 50 Likert + 2 Multi-Select+ 1 open-ended question
  • sdasd 20 participants (Team/Organization)
  • asdasddas Data & AI Literacy Insight
close-circle If There Is No Data Literacy
Decisions are based on intuition → leading to misdirection
Reports are difficult to understand → opportunities are missed
Departments become siloed → data is not shared
tick-circle If There Is Data Literacy
Decisions are based on data → enabling the right strategies
Everyone interprets data → insights turn into action
A common data language is used → cross-functional collaboration improves

What is the Data Literacy Score? 

Data Literacy Score™ is an organizational assessment built on five years of research and insights gathered from thousands of professionals. It provides a clear picture of your company’s level of data literacy and delivers actionable insights for improvement.

The assessment consists of 50 Likert-scale questions, multiple-choice questions designed to identify strengths and barriers, and open-ended questions that capture the subjective insights of your team members.

NEW: Includes an optional AI Literacy Score™ component and customizable objective knowledge questions covering data and AI topics.
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7 Category Comprehensive Assessment 

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Purpose

Is data being used to achieve core organizational goals?

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Data

Is high-quality data accessible to those who need it?

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People

Do employees have the right knowledge and skills?

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Culture

Does the team culture encourage the use of data?

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Ethics

Is data used for positive purposes, or could it be used in harmful ways?

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Technology

Are the right tools and systems being used?

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Process

Do processes effectively leverage data?

6 Powerful Assessment Components 

1

Customizable categorical questions (for subgroup analysis)

2

Fifty subjective scoring questions (Data Literacy)

3

Two multiple-choice questions (strengths & barriers)

4

One open-ended question (employee suggestions)

5

OPTIONAL: 15 AI literacy questions

6

OPTIONAL: Objective knowledge test questions

What Does the Data Literacy Score Provide for Your Organization?

Challenge Cost Solution Outcome
Uncertainty about literacy levels Misguided investments 5-stage literacy model Clear roadmap
Category blindness Partial improvement 7-category analysis Holistic view
Hidden barriers Resistance to change Identification of barriers Targeted intervention
Subjective evaluation Reliability concerns Objective test questions Proven capability
Gaps in AI readiness Risk of falling behind AI literacy component Future-ready organization
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Target Audience

Leaders, All Employees
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Implementation Method

Online
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Language Options

Turkish, English
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Reporting

Category Scores + Maturity Report
magicpen Optional Services
AI Literacy Score™
Objective Test
Workshop
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Data Literacy Training Series
AI Literacy Series
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