Our approach

Achieve business-technology alignment by adopting the following approach:

1. Strategic Alignment Through Data

Define a customer data strategy that aligns with your business goals and empowers smarter, insight-driven decisions.

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2. Blueprints for a Smarter Data Future

From current-state analysis to future-ready design, we guide you toward a data architecture that enables agility, governance, and growth.

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3. Build the Foundation for Data-Driven Innovation

A modern data platform enables your teams to move faster, act smarter, and deliver more value—at scale./p>

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As a data leader, you're tasked with more than just infrastructure—you're driving transformation. Lucmor partners with you to design and deliver a modular, secure, and future-ready data platform. Whether you're modernising legacy systems, enabling self-service analytics, or preparing for AI adoption, we help you build the foundation that makes it all possible.

And we don't stop at delivery—we upskill your team along the way, equipping them to take ownership, drive adoption, and evolve the platform with confidence.

What sets us apart?

We are business focused

We take the time to understand your organisation's goals, processes, and data landscape—then apply conceptual modelling to shape solutions that align with your strategy.

A solid data foundation

We leverage a well-established data architecture and templated development approach to rapidly deliver modern, agile data platforms.

We are agile

We use an agile methodology that focuses on providing value at the earliest opportunity and iteratively deploying services as the need arises.

Lucmor Modern Data Platform

Our modern platform delivers clean, consistent customer data at enterprise scale—ready for analytics, AI, and beyond.

Accelerated data warehouse build

Automate your warehouse logic with our re-usable dbt templates

Single Customer View

Identify duplicate customers and maintain a Single Customer View

Make your data AI ready

Build strong data foundations for smarter AI outcomes

Campaign attribution and customer value

Marketing attribution and Customer Lifetime Value models and enables robust performance reporting

Understand and predict behaviour

Analyse the customer event stream to establish analytical models that predict behaviour

Customer activation

Push customer engagement models back to campaign automation systems

Find out how we could implement a modern data platform for you

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Data platform technologies

Below is a list of technologies we work with when building modern data platforms:

Cloud
providers

Cloud data
warehouses

Extract and
load

Data modelling
and transformation

Typical project timeline

Although every data platform modernisation project is different below are the typical activities we would undertake for a 6-9 month project:

Data strategy

We take time to understand the business motivation that will inform your data strategy and work with you to agree a strategy to achieve your target state.

More info Typically 2-4 weeks

Architecture discovery & roadmap

We will map your current state data architecture and provide a recommended target architecture that supports your data strategy. At this point we will prioritise activity and work with you to develop an implementation roadmap.

More info Typically 2-4 weeks

Build the data platform foundation

Now we have a target state in mind that aligns to your business objectives we will develop your modern data platform using agile data warehouse design.

More info Typically 2-6 months
In 2 week sprints

Operational release

We will provide operational support to put the modern data platform live, including data migration, code deployment, support for user testing and the creation of an operational run book.

Typically 2-4 weeks

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