Data & Analytics Maturity
Where does your organisation stand between spreadsheet islands and data-driven decisions? Five areas, a maturity profile and an instant report.
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Most maturity models for data and analytics distinguish between what exists technically and what is actually used. In practice that is where the value is decided: organisations invest in platforms and discover years later that decisions are still made on instinct. This self-check therefore separates five areas – availability, quality and governance, analytical skills, use in decisions, and scaling – and makes the gap between them visible. It is deliberately a self-assessment rather than an audit; its value lies in the conversation the results start.
When should you use this template?
This template is a great fit for:
- At the start of a data or BI strategy
- As a baseline in the leadership team before an investment decision
- As a recurring annual measure
Every question in this template
- 1Consent
I understand that participation is voluntary and anonymous, and I take part. *
- 2Matrix
How well do the following statements describe your organisation? *
Not at all Rudimentary Partly Largely Fully The data needed for decisions is accessible without special requests. Data from different systems can be brought together. It is clear where the authoritative source for each data set lies. Key metrics are defined and documented consistently. There is named ownership for data quality. - 3Multiple choice
Which data sources are already centrally integrated in your organisation?
Select all that apply.
- ERP / inventory management
- CRM / sales
- Web and campaign data
- Survey and feedback data
- HR data
- Production or sensor data
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Frequently asked questions
Who should complete the check?
Why a multiple-choice question about data sources?
Start with this template
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