Skip to content

Data management assessment

Data management maturity assessment

Measures the maturity of how you manage and use data, identifies critical gaps and delivers an actionable roadmap.

  • Delivered remotely
  • 1 day
  • 3 days
  • 5 to 10 days
Book a consultation

What it is

Assesses the maturity of your organization's data management, identifies critical gaps, prioritizes opportunities and delivers an actionable roadmap so your business can make data-driven decisions with confidence.

Objectives

  • Assess the maturity of data management and data use.
  • Inventory data sources, usage types and access patterns.
  • Understand the current data lifecycle and data quality.
  • Identify gaps in strategy, architecture, governance and security.
  • Define actionable recommendations and a prioritized roadmap.

Methodology

  1. 1. Kickoff

    Alignment on objectives, stakeholders, scope and work plan.

  2. 2. Discovery

    Technical and business interviews, document review, and analysis of tools and architecture.

  3. 3. Maturity assessment

    Analysis by dimension: strategy, data, architecture, governance, security, talent and operations, among others.

  4. 4. Gap identification

    Analysis against best practices, prioritized by impact, risk and complexity.

  5. 5. Recommendations

    Quick wins, strategic initiatives and a roadmap for a secure data strategy.

  6. 6. Roadmap

    A prioritized 30-, 60- and 90-day and long-term plan.

Outcomes and deliverables

  • Maturity diagnosis with a score for each assessed dimension.
  • Map of current capabilities versus market practices.
  • Critical gaps and risks identified by dimension.
  • Use cases prioritized by impact and organizational readiness.
  • A roadmap with 30-, 60- and 90-day and long-term milestones.

Scope

Defined at kickoff based on your organization's goals. It includes technical and business interviews, document review, architecture analysis, and an assessment of data quality, governance, security, tools and data use cases.

Out of scope

  • Implementing the recommendations.
  • Building or running data cleansing processes.
  • Technical remediation of findings.
  • Formal audit, regulatory certification or legal opinions.

Formats and duration

  • 1 day

    Executive assessment

    Inventory and assessment of how data is used across the organization.

  • 3 days

    Standard assessment

    A comprehensive review of the data lifecycle, from transactional to analytical.

  • 5 to 10 days

    Extended assessment

    Data consumption and exploitation, with business metrics.

After the assessment

The recommendations can be delivered through the services and packages in this pillar:

Data & Analytics

Data lakehouse, data integration and preparation, and BI dashboards to make decisions on trusted information.

Frequently asked questions

Why assess data before investing in AI or analytics?

Because data quality, governance and availability determine what analytics and AI can achieve. The assessment shows you what's ready, what's missing and where to start.

Is it a prerequisite for the data packages?

Yes, for the design packages (data lakehouse and data consumption). Its results are the starting point for the architecture design.

Does it include cleaning the data?

No. Building or running data cleansing processes is out of scope; the assessment identifies where it's needed and how to prioritize it.

First step

Let’s talk about your next move in cloud and AI

The first conversation is free. We’ll understand what you need, review your context and recommend the shortest path to a tangible result.

Book a consultation