Data Strategy

A data strategy the business will actually follow.

Cyber Samurai builds pragmatic, DAMA-aligned data strategies for UK organisations - defining the operating model, architecture and prioritised roadmap needed to make Microsoft Azure and Microsoft Fabric investments pay back.

DAMA-alignedMicrosoft AzureFabric-readyBusiness-first

Where you start

No company starts with a good data strategy in place.

We build a bespoke data governance roadmap that takes you from where you are now to where you need to be. A data strategy is a journey of continuous improvement, not a document that gets written once and then left on a shelf.

  1. 1

    Where you are now

    We assess the data, systems, ownership and controls you already have - what works, what is at risk, what is missing and what nobody is accountable for.

  2. 2

    The bespoke roadmap

    A prioritised plan built around your business rather than a template, sequenced so early work funds and informs the work that follows.

  3. 3

    Where you need to be

    Governed, documented and well-run data that supports decisions, reporting and AI, then reviewed and improved as the business changes.

Most journeys start with a short assessment of where you are today. Tell us what you have and we will tell you what is worth fixing first.

Start with an assessment

Problems we solve

What can be achieved

Connect business goals to data so every investment pays back.

Agree what data matters most to the business and why
Prioritise the projects that deliver value soonest
Choose platforms with confidence instead of guesswork
Set clear ownership and accountability for data
Prepare data foundations for analytics and AI
Build a roadmap the board can understand and fund

What's available

The technologies involved

A data strategy covers more than technology. These are the areas we work in.

  • Data operating models - people, roles and responsibilities
  • Data architecture - Microsoft Azure and Microsoft Fabric
  • Data governance - DAMA-DMBOK aligned frameworks
  • Data quality - measuring and improving trust in data
  • Master and reference data - one version of key records
  • AI readiness - getting data fit for AI
  • Roadmaps and business cases - prioritised and costed

How we work

Strategy works best in expert hands

A strategy written without hands-on experience reads well and fails in delivery. Experienced data practitioners know what is realistic, what each platform really costs and where projects usually stall. AI can draft a strategy document in minutes, but only an expert can tell whether it fits your business and will survive contact with reality. That is why our strategies are shaped by specialists who also deliver.

Controlling your data

Keep control of your data, on-prem or in the cloud

A data strategy does not have to assume everything moves to the cloud. With the right platforms you can keep data on-prem and still give applications, analytics and AI safe, governed access. We work with two tools that make this possible.

DreamFactory - on-prem API management and AI gateway

DreamFactory sits between your data and everything that consumes it, generating and governing APIs on-prem. It also works as an AI gateway, so AI applications get controlled, audited access to enterprise data without bypassing your security.

Find out more at dreamfactory.com

Integrate.io - on-prem data pipelines at a fixed price

Integrate.io lets you build data pipelines on-prem as an alternative to Azure Data Factory, and the price stays fixed no matter how much data you work with - making costs predictable as your data volumes grow.

Find out more at integrate.io

Not sure whether to keep data on-prem, move it to the cloud, or run a hybrid? We can map the options against your strategy.

Discuss your platform options

Data governance

Govern the data you already have

A strategy that only covers platforms and projects leaves data unowned, undocumented and hard to find. Governance is the layer that makes data discoverable, understandable and safe to use, and in practice it comes down to four capabilities.

Data discovery

Find out what data you actually hold and where it lives, including personal, financial and customer records. Discovery is the starting point for GDPR mapping and for any analytics or AI project that needs to know what it can legitimately use.

Data catalog

A searchable index of datasets, owners and agreed definitions, so two departments stop reporting different revenue figures and analysts stop rebuilding the same report from scratch.

Data lineage

Trace where a number came from, what touched it along the way and where it flows next. Lineage turns a disputed figure into a short investigation and makes migrations, audits and incident reviews survivable.

Data access management

Give people the access they need and nothing more, with least-privilege rules, clear approvals and audit trails. Done well, access decisions get faster rather than slower.

Governance is where strategy turns into everyday practice. We can run it for you, or help you build the capability in-house.

Explore Data Governance as a Service

Outcomes

What a good data strategy delivers for the business

A data strategy earns its keep when the business can point to what changed. These are the benefits we expect to see.

One agreed version of the numbers, so decisions are made on figures leadership trusts
Investment that pays back, because every project is tied to a business outcome
Faster answers from data, with analysts spending time on analysis rather than finding and fixing data
Access approved in days, not weeks, because classification and ownership are already settled
Audit and GDPR readiness, with retention, access and lineage documented rather than reconstructed under pressure
Foundations ready for AI, with governed, documented data that models and copilots can use safely

Questions

Frequently asked

  • Both - a clear strategy plus a prioritised roadmap our delivery teams (or yours) can execute.

Start the conversation

Get a data strategy that leadership will back.

What you'll get

  • 30–45 min consultation
  • Clear priority map
  • Recommended first engagement
  • No obligation to proceed

Not ready to talk? Download the SQL Server health check guide or score your data health .

We'll reply within 1 business day with a practical next step - no hard sell.