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Data assessment

Understanding your data evolution journey.

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The data challenge – you cannot govern what you cannot see

 

Understand precisely what your data landscape looks like, what considerations and challenges you may face. Our data assessment provides the evidence base your organisation needs to make informed, confident decisions about its data evolution journey.

Most organisations do not have a clear, objective picture of their own data estate. Quality issues, governance gaps, and AI readiness shortfalls are frequently unknown until a programme is already underway – by which point remediation costs have escalated.

Without a structured baseline, data investment can be misdirected, stakeholder alignment is difficult to achieve, and business cases lack credibility. 

Legacy data quality problems are often far more extensive than anticipated, extending timelines and consuming budget allocated to transformation rather than remediation. 

Our comprehensive assessment unlocks challenges, empowering targeted improvements and pragmatic prioritisation. 

Our data assessment offering

A structured, time-bound engagement delivering a clear, evidence-based view of your current data estate and a prioritised roadmap for improvement.

Data landscape assessment

Catalogue of your current systems, platforms, data flows and ownership models across your organisation.

Data maturity benchmarking

Structured scoring against DAMA DMBoK with peer comparison across your sector.

Data quality profiling

Objective analysis of your data quality across key domains: completeness, accuracy, consistency, timeliness, validity and uniqueness.

AI readiness evaluation

Assessment of your data estate readiness to support AI and analytics use cases, including governance and lineage gaps.

Governance gap analysis

Review of your existing governance policies, ownership models and stewardship practices against recommended-practice frameworks.

Prioritised recommendations

A clear set of actionable findings ranked by business impact and implementation complexity.

Our data assessment methodology

1. Discovery workshops

Structured sessions with business and technical stakeholders to understand strategic priorities, pain points and existing data practices.

2. Technical profiling

Automated and manual profiling of data assets, platforms, pipelines and metadata to establish an objective quality and maturity baseline.

3. Framework-based scoring

Assessment scored against DAMA DMBOK and Version 1’s proprietary Data Capability Framework, enabling consistent peer benchmarking.

4. Findings and prioritisation

A structured findings report with prioritised recommendations, effort estimates and a proposed roadmap aligned to business objectives.

Our data expertise

We partner with global technology leaders to provide you with the highest quality solutions and services. Our long-standing and enhanced partner relationships and market leading expertise in each partner’s technologies allows us to tailor solutions to your unique needs.  

 

We are highly accredited by our global technology partners and have been recognised and awarded for our excellence in bringing technology enabled solutions and services which drive customer success. 

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Unified data and AI – Data assessment

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