What is Maturity Assessment?

Maturity Assessment is a structured method used to evaluate how developed an organization, process, capability, or technology is compared with a defined maturity framework. It helps organizations understand their current position, identify gaps, and determine what needs to improve to reach a higher level of maturity. In a Data Maturity Assessment, organizations are evaluated across areas such as data strategy, governance, technology infrastructure, analytics capabilities, and data culture. Each area is typically assigned a maturity score, such as 1 to 5, where lower scores indicate early-stage capabilities and higher scores indicate more advanced and optimized practices. The assessment provides a clear baseline for improvement and future planning.

Sample Maturity Assessment Dataset by SlideScope

The Data Maturity Assessment Dashboard Dataset is a sample dataset designed for demonstrating how Power BI can be used to analyze and visualize an organization’s data maturity across multiple business dimensions. This is sample and simulated data created for educational and tutorial purposes. Real client assessment data is confidential and cannot be publicly shared because it may contain sensitive business information, internal performance indicators, and organizational details.

The dataset contains 50 sample companies distributed across four countries: USA, Germany, Belgium, and France, and covers industries such as Manufacturing, Finance, Healthcare, Retail, and E-commerce.

The main columns represent five important areas of Data Maturity Assessment (DMA):

• Data Strategy Maturity – Measures strategic vision, roadmap clarity, and business alignment.
• Data Governance Maturity – Measures policies, ownership, quality standards, security, and compliance.
• Technology Infrastructure Maturity – Measures data platforms, cloud adoption, integration, and infrastructure capabilities.
• Analytics Capability Maturity – Measures BI capabilities, reporting automation, analytics skills, and insight generation.
• Data Culture Maturity – Measures data literacy, employee adoption, team skills, and data-driven decision-making.

Each dimension is scored from 1 to 5, where 1 represents a lower level of maturity and 5 represents a highly mature capability.

The Overall_Maturity_Score is calculated as the average of these five maturity dimensions. This average, or MA (Mean/Average), provides a single score that can be used to compare companies, industries, and countries and identify areas where organizations may need improvement.

Here is the dataset, copy the code from here, paste it in a notepad file and save as .csv format:

Client_Name,Industry,Country,Assessment_Date,Data_Strategy_Maturity,Data_Governance_Maturity,Technology_Infrastructure_Maturity,Analytics_Capability_Maturity,Data_Culture_Maturity,Overall_Maturity_Score
Company A,Manufacturing,USA,15-01-2024,4,3,4,3,4,3.6
Company B,Finance,Germany,22-01-2024,5,4,5,4,4,4.4
Company C,Healthcare,Belgium,05-02-2024,3,4,3,3,3,3.2
Company D,Retail,France,12-02-2024,2,3,3,2,3,2.6
Company E,E-commerce,USA,20-02-2024,4,3,5,4,4,4
Company F,Manufacturing,Germany,04-03-2024,3,3,4,3,2,3
Company G,Finance,Belgium,18-03-2024,4,5,4,4,5,4.4
Company H,Healthcare,France,25-03-2024,2,2,3,2,2,2.2
Company I,Retail,USA,08-04-2024,5,4,5,5,4,4.6
Company J,E-commerce,Germany,15-04-2024,4,4,4,5,4,4.2
Company K,Manufacturing,Belgium,29-04-2024,3,2,3,3,3,2.8
Company L,Finance,France,06-05-2024,4,5,4,3,4,4
Company M,Healthcare,USA,20-05-2024,3,4,4,3,3,3.4
Company N,Retail,Germany,03-06-2024,5,4,5,4,5,4.6
Company O,E-commerce,Belgium,17-06-2024,3,3,4,4,3,3.4
Company P,Manufacturing,France,24-06-2024,2,3,2,2,3,2.4
Company Q,Finance,USA,08-07-2024,5,5,5,5,4,4.8
Company R,Healthcare,Germany,15-07-2024,4,4,4,3,4,3.8
Company S,Retail,Belgium,29-07-2024,3,4,3,3,4,3.4
Company T,E-commerce,France,05-08-2024,4,3,5,4,3,3.8
Company U,Manufacturing,USA,19-08-2024,5,4,5,4,5,4.6
Company V,Finance,Germany,02-09-2024,3,4,4,4,3,3.6
Company W,Healthcare,Belgium,16-09-2024,2,3,3,2,3,2.6
Company X,Retail,France,23-09-2024,4,4,4,5,4,4.2
Company Y,E-commerce,USA,07-10-2024,5,5,4,5,5,4.8
Company Z,Manufacturing,Germany,14-10-2024,3,3,3,4,3,3.2
Company AA,Finance,Belgium,28-10-2024,4,5,5,4,4,4.4
Company AB,Healthcare,France,04-11-2024,3,3,4,3,2,3
Company AC,Retail,USA,18-11-2024,4,4,5,4,5,4.4
Company AD,E-commerce,Germany,25-11-2024,5,4,5,5,4,4.6
Company AE,Manufacturing,Belgium,02-12-2024,2,2,3,3,2,2.4
Company AF,Finance,France,09-12-2024,4,4,4,4,5,4.2
Company AG,Healthcare,USA,16-12-2024,3,4,3,4,3,3.4
Company AH,Retail,Germany,06-01-2025,5,5,5,4,5,4.8
Company AI,E-commerce,Belgium,13-01-2025,4,3,4,4,4,3.8
Company AJ,Manufacturing,France,27-01-2025,3,3,4,2,3,3
Company AK,Finance,USA,03-02-2025,5,4,5,5,5,4.8
Company AL,Healthcare,Germany,17-02-2025,4,4,4,3,4,3.8
Company AM,Retail,Belgium,03-03-2025,3,3,3,4,3,3.2
Company AN,E-commerce,France,10-03-2025,4,5,5,4,4,4.4
Company AO,Manufacturing,USA,24-03-2025,5,4,5,5,4,4.6
Company AP,Finance,Germany,07-04-2025,4,4,4,5,5,4.4
Company AQ,Healthcare,Belgium,21-04-2025,2,3,3,3,2,2.6
Company AR,Retail,France,05-05-2025,5,4,5,4,5,4.6
Company AS,E-commerce,USA,19-05-2025,4,5,5,5,4,4.6
Company AT,Manufacturing,Germany,02-06-2025,3,3,4,3,3,3.2
Company AU,Finance,Belgium,16-06-2025,5,5,5,4,5,4.8
Company AV,Healthcare,France,07-07-2025,3,4,3,3,3,3.2
Company AW,Retail,USA,21-07-2025,4,4,5,4,5,4.4
Company AX,E-commerce,Germany,04-08-2025,5,4,5,5,5,4.8

What Are the Benefits of Maturity Assessment?

• Identifies Current Capabilities – Understand the organization’s present maturity level.
• Finds Capability Gaps – Highlights areas that require improvement.
• Supports Better Decision-Making – Provides data-driven insights for strategic decisions.
• Helps Prioritize Improvements – Identifies which areas should receive immediate attention.
• Improves Resource Allocation – Helps organizations invest resources where they are most needed.
• Strengthens Data Governance – Identifies weaknesses in policies, ownership, quality, and compliance.
• Improves Technology Planning – Highlights infrastructure and technology improvement requirements.
• Builds Data Culture – Measures data literacy, adoption, and data-driven decision-making.
• Tracks Progress Over Time – Allows organizations to monitor improvements through repeated assessments.
• Enables Benchmarking – Makes it easier to compare maturity across companies, industries, departments, or countries.
• Supports Strategic Planning – Provides a structured foundation for creating improvement roadmaps.
• Improves Business Performance – Helps organizations develop stronger and more effective data capabilities.