Skip to main content
Enigma IT Solutions

Data and analytics consultancy

Turn complex data into confident decisions.

We design and build the data platforms, analytics and reporting that give your leaders one trusted view of performance, whether your data lives in the cloud, on-premises or across both.

Request a Data ConsultationExplore Our Capabilities
Data from ERP, CRM, finance and file sources flows into the Enigma IT Solutions logo and out as a reconciled performance view.ERPCRMFinanceFilesMargin by regionReconciled to source

The challenge

Most organisations do not lack data. They lack data they can agree on.

As systems multiply, the same four problems appear. Each one quietly erodes confidence in the numbers that leadership relies on.

Find the situation closest to yours

  • Disconnected systems

    Finance, operations and customer data sit in separate platforms that were never designed to talk to each other.

  • Inconsistent reporting

    Two reports answer the same question with different numbers, and meetings start by debating which is right.

  • Poor data quality

    Missing, duplicated and late records reach dashboards unnoticed, and confidence erodes one error at a time.

  • Manual processes

    Skilled people spend days each month exporting, pasting and reconciling spreadsheets to produce the same pack.

The journey

From complexity to clarity

Data becomes useful when it is collected reliably, defined consistently and presented clearly. Each stage depends on the one before it.

  1. Operational systems, finance platforms, files and APIs, each with its own structure and timing.

    Every relevant source identified and understood

  2. Pipelines extract, validate, clean and load data on a dependable schedule, with monitoring built in.

    Timely data that arrives complete and checked

  3. A deliberate model organises data with agreed definitions, ownership and controlled access.

    One governed foundation instead of many copies

  4. Analysis and semantic models turn trusted data into measures, trends and explanations.

    Insight that is consistent and explainable

  5. Dashboards and reports put the right measures in front of the people who act on them.

    Leaders acting on numbers they trust

Capabilities

Five disciplines, one joined-up practice

Reliable decisions depend on every link in the chain. We work across all of them, so strategy, platforms and reporting fit together.

Are we measuring the right things?

Connect data to the objectives that matter, so leaders can see what is happening, understand why, and decide what to do next.

The business problem
Many organisations have more reports than ever, yet still struggle to answer basic questions about performance. Measures are defined differently across departments, priorities compete for attention, and analysis often starts from the data that happens to be available rather than the decisions that need to be made.
What we deliver
We start with the decisions your people need to make, then work back to the measures and data that support them.
The value to you
  • A shared, documented understanding of how performance is measured
  • Analytics effort focused on the questions with the greatest business impact
  • Clearer accountability for each measure and its underlying data
Typical deliverables
  • Requirements and decision-mapping documentation
  • KPI framework with definitions, owners and calculation rules
  • Prioritised use-case backlog
  • Analytics roadmap
More on business analytics

Where your data runs

Cloud, on-premises or hybrid

It is a business decision as much as a technical one. We weigh the options honestly and recommend what suits your data, your obligations and where your business is heading.

Swipe sideways to see the whole diagram.

Hybrid

Some data and workloads run in the cloud while others remain on-premises, connected securely so they work as one environment.

Often suitsPhased modernisation, or a mix of sensitive and less-sensitive workloads.

How we design for it

  • Secure, monitored integration between environments
  • One model and one set of definitions across both
  • A staged path for moving workloads when it makes sense

The right choice depends on

  • Security and data sensitivity
  • Scale and growth
  • Total cost of ownership
  • Compliance and data residency
  • Existing systems and skills
  • Business requirements and timelines

Outcomes

What better data makes possible

The results we work towards are practical ones. We agree how each will be measured at the start of an engagement.

  • Faster, more confident decisions

    Leaders spend less time questioning the numbers and more time acting on them.

  • Less manual reporting

    Automated pipelines and reports release skilled people from repetitive compilation.

  • Reliable, consistent information

    One set of definitions means departments see the same answer to the same question.

  • Wider operational visibility

    Data from separate systems comes together to show how the business performs end to end.

  • Scalable data foundations

    Platforms designed to handle new sources, users and volumes without a rebuild.

  • Better data quality

    Validation and monitoring catch issues before they reach a report.

  • Stronger reporting governance

    Clear ownership, certified datasets and controlled access to sensitive information.

  • Insight people can use

    Findings are explained plainly, with the evidence and the recommended next step.

Engagement approach

How an engagement runs

A clear, staged process keeps risk low and progress visible. Each stage ends with something you can review and use.

  1. Discover

    Understand the business objectives, users, systems and data challenges.

    You leave withAgreed objectives and the decisions that matter most

  2. Assess

    Review the existing data landscape, quality, architecture and reporting requirements.

    You leave withA current-state assessment with prioritised findings

  3. Design

    Define the solution, architecture, delivery roadmap and measures of success.

    You leave withTarget architecture, staged roadmap and success measures

  4. Build

    Develop, test, document and implement the solution.

    You leave withA tested, documented solution running in your environment

  5. Enable

    Support adoption, knowledge transfer, governance and continuous improvement.

    You leave withTrained users, clear ownership and a plan for what comes next

Discuss where to start

Case studies

Selected work

Case studies will be published here with client approval. Until then, this framework shows how each project will be presented: the context, the challenge, our approach and a verified outcome.

Placeholder

Space for a project diagram or approved screenshot

PlaceholderClient name or anonymised description PlaceholderSector

PlaceholderCase study title, e.g. the decision the work made possible

Context
PlaceholderWho the client is and what they needed to decide or improve.
Challenge
PlaceholderThe data problem in their words: systems, reporting, quality or manual effort.
Approach
PlaceholderWhat Enigma designed and built, and how the work was staged.
Outcome
PlaceholderA verified, client-approved outcome. Do not publish figures you cannot evidence.

Services: Data engineering, Business intelligence and reporting

Thinking

Insights

All insights

Start with a conversation about your data.

Many engagements begin with a short assessment of your current data landscape. We will help you identify the most valuable first step.

Request a Data Consultation

What happens next

  1. 01We review your enquiry and reply to arrange a time to talk.
  2. 02We discuss your objectives, systems and constraints.
  3. 03We suggest a sensible next step, such as a short assessment or a scoped proposal.