FIVE POWERFUL LAYERS
ONE FULLY MANAGED PLATFORM

A unified data platform brings together data from across your business into a single, trusted environment. It integrates, cleanses, transforms and manages data from multiple systems, including ecommerce platforms, POS, ERP, CRM, CDP, marketing and finance systems.

By eliminating data silos and creating a single source of truth, it enables consistent reporting, analytics and AI across the organisation.

Datitude's unified data platform combines integration, data and semantic layers in a single managed solution, providing a secure, scalable foundation for business intelligence, analytics and AI. It also supports real time transactional data; automating data flows and feeding clean, unified data across systems.

Further reading: All your data in one place. From Fragmented Data to A Single Source of Truth

The answer depends on your internal resources, budget, timelines and long-term objectives.

Building a unified data platform can offer flexibility, but it requires significant investment in technology, specialist skills, ongoing maintenance and governance. Many organisations underestimate the complexity and long-term costs involved.

A managed platform like Datitude enables you to achieve the benefits of a modern data platform faster, with lower risk and access to experienced specialists, while allowing your teams to focus on using data rather than managing infrastructure.

Further reading: The Smarter Route to a Data Layer:  Build or buy.

A data warehouse is primarily designed to store structured data to support routine analytics, financial dashboards, and standardised reporting.

Datitude's Platform goes much further.

The data layer within the Datitude Platform is built on a data lakehouse so it combines the low-cost, flexible storage of a data lake, supporting all data types, with the structure and performance of a data warehouse. It enables a unified approach for traditional BI and advanced AI and LLMs on a single platform.

The Datitude Platform combines data integration, transformation, modelling, governance, analytics and managed services in a single solution. Data is automatically integrated, cleansed, validated, standardised and transformed to create trusted, business-ready datasets.

The result is a unified data platform that delivers the single source of truth for reporting, analytics and AI, without the complexity of building and maintaining it yourself.

ELT (Extract, Load, Transform) is a modern data integration and pipeline process used to move raw data from multiple sources into a centralised data repository.

It extracts raw data from the various source systems, loads it directly into Datitude's data lakehouse (instead of staging the data in a separate server to clean it), and transforms it directly within that storage.

It provides better speed, scalability and flexibility compared to traditional ETL (Extract, Transform, Load) and is significantly better suited for AI and data science.

Datitude can unify any, and all, types of data - customer, product, sales, stock, operational, marketing, payments, financial and other business data - from across your technology ecosystem.

We support structured, semi-structured and unstructured data from virtually any source. Whether data originates from cloud applications, databases, platforms, retail systems or existing data warehouses, we can bring it together into a single, trusted environment.

Datitude integrates with all the most widely used retail, ecommerce and marketing technologies, including POS, ecommerce platforms, ERPs, CRMs, CDPs, PIMs, stock, finance and payment systems, plus loyalty, customer service and marketing platforms.

We have pre-built integrations for the common retail systems and can quickly develop custom integrations where required. We can also import historical data from existing data warehouses and reporting environments.

Integrations really are limitless.

The result is a connected technology ecosystem and a single source of truth across your business. Read more about Datitude's retail systems integrations.

A Model Context Protocol Server is a standardised program that bridges AI models with data sources and tools.

It acts as a universal translator, securely allowing AI to search file systems, query databases, or execute actions without requiring custom code for every single platform.

Absolutely. Datitude creates an AI-ready data foundation by bringing together data from across your business into a single, trusted and governed environment.

Whether you're using dashboards and reports, machine learning models, AI assistants or large language models (LLMs), success depends on having accurate, complete and accessible data.

Datitude provides that foundation, including advanced analytics, helping organisations unlock more value from analytics and AI initiatives.

Further reading: AI raises the stakes for data consistency. Enter the Semantic layer.

Yes.

Datitude is front-end agnostic, meaning you can continue using your preferred analytics and business intelligence tools, including Power BI, Looker, Tableau and other BI platforms.

Clients also have access to the Datitude Application, Datitude Excel Add-in and direct SQL access where required, providing multiple ways to access, analyse and share data.

You can also plug your preferred AI model or application into your unified data through our MCP (Model Context Protocol) servers. At the same time we are embedding AI tools into the Datitude Application.

Discover more about Datitude in action and the Platform's diverse users and use cases.

Both.

Datitude provides a unified data platform supported by experienced technology, data and analytics specialists. We manage data integration, governance, monitoring, support and ongoing optimisation on your behalf.

This gives you the benefits of a powerful data platform without the overhead of managing it internally. Datitude works as a seamless extension of your in-house teams.