Services
Cloud Data Integration Services
Connect every source. Create one version of the truth.
We connect to all of your data sources and harmonise your data into a single source of truth across applications. We can take this a step further and make your applications work more seamlessly together.
By identifying a primary source for a particular data set, such as a core HR or ERP system, we ensure that updates made in one application are automatically reflected across others. This eliminates manual data handling, reduces duplication risks, and gives every team access to the same trusted information.
What this looks like in practice
Ingest your data from any source to a single location
CRM, ERP, HRIS, e-commerce, finance, operations – whatever your tech stack, we connect to it.
Sync master data between your cloud applications
When a customer record updates in Salesforce, it updates in NetSuite, Shopify, and everywhere else automatically.
App-to-app integration
We don’t just extract data for reporting. We can make your applications genuinely work together, enforcing master data alignment across the organisation.
Other Services
Data Architecture & Engineering
Combine your data into a data lake or warehouse. Clean, harmonise, transform and aggregate. Define Semantic Models with core measures.
Interactive Dashboards & Reporting
Provide a complete picture of your business performance. Turn data into insights with interactive Power BI content.
AI Powered Insights & Analysis
Enhance your data schema for AI to understand. Natural language querying across your entire dataset. AI-driven summaries, trends, and correlations.
Struggling with disconnected systems?
Let’s start with a conversation about where your data lives and how to bring it together
Frequently Asked Questions
What are cloud data integration services?
Cloud data integration services connect data from different cloud applications, systems and databases into one reliable environment. This helps businesses bring together information from tools such as CRM, ERP, HRIS, ecommerce, finance and operations platforms, creating a single source of truth for reporting, analytics and decision-making.
How can cloud data integration help my business?
Cloud data integration can help your business by reducing manual data handling, removing duplicated information and making sure teams work from the same trusted data. When systems are connected properly, updates made in one application can be reflected across others, improving accuracy, efficiency and visibility across the organisation.
Why is a single source of truth important?
A single source of truth is important because it gives every team access to consistent and reliable information. Without it, departments may work from different numbers, outdated records or disconnected reports. By harmonising data across applications, businesses can improve reporting accuracy and make decisions with greater confidence.
What is the difference between data integration and app-to-app integration?
Data integration focuses on bringing information from different sources into one place for reporting, analytics and business intelligence. App-to-app integration goes further by helping applications work together directly, so updates in one system can automatically sync with others and support better master data alignment across the business.
How does cloud data integration support better reporting and AI?
Cloud data integration supports better reporting and AI by making data cleaner, more connected and easier to understand. Dashboards, analytics tools and AI systems need accurate and structured data to produce reliable insights. When business data is integrated properly, teams can build stronger reports, improve analysis and prepare for more advanced AI use cases.
Is cloud data integration suitable for small businesses and startups?
Yes. Small businesses and startups benefit from setting up core tools early on, avoiding issues that build up as teams and systems grow.
See how connected data can unlock more advanced analytics and AI. Explore our work on building an AI layer across an enterprise, embedded AI analytics at scale, and building a retail data platform. For more practical insights, visit our Data Analytics & Business Intelligence Blog.