We design and set up systems that collect, store, and manage your data so you can make smarter decisions. From data pipelines to cloud solutions, we make your data reliable and ready for action.
Businesses today run on data but it becomes a problem when that data is not organized or is simply hard to access. Many companies struggle with data scattered across different systems, reports that don’t match, and time wasted moving data by hand.
At Data Inseyets, we help fix these problems by bringing all your data together in one reliable, easy-to-use system. Using Microsoft Azure, we build data solutions that help your business work faster, make better decisions, and grow with confidence.
At Data Inseyets, we combine strong technical skills with real business understanding. We don’t just move data, we build complete systems that help you get faster, clearer insights.
Our team consists of qualified Microsoft data professionals with extensive knowledge of Azure Synapse. We build reliable, scalable, and manageable cloud solutions, connecting all your tools and systems so your data works smoothly together.
Certified Microsoft Data Professionals
Experts in Azure Synapse and Data Factory
Scalable, secure, and automated cloud solutions
Easy integration with Power BI, SQL, and other business tools
We create strong data pipelines that combine all your data from cloud applications, in-house systems, and third-party tools. Using Azure Data Factory and/or Synapse, we automate how data is collected, cleaned, and updated, so it’s always accurate and up to date.
Using Microsoft Azure, we create secure, flexible cloud systems that grow with your company. We make sure that your data setup is quick, affordable, and easy to scale, whether you utilize a combination of on-premise and cloud systems or move entirely to Azure.
We handle every step of your data process from extracting and cleaning it to loading it into a modern Azure data warehouse. This ensures your data is organised, reliable, and ready for reporting and analytics.
Our experts use Azure Synapse Analytics to combine big data and business data in one place. We manage data lakes, build Synapse pipelines, and connect them all with Power BI and other tools so your organisation can have a single, clear view of all your data.
We build secure, all-in-one data platforms that support your reporting, AI, and automation needs. These platforms help different teams work together and use the same trusted data across the business.
We follow a clear five-step process to make sure every project delivers real results:
We evaluate your current data systems and create a clear plan for improvement.
We design how your data will flow, connect, and be saved in the cloud.
We develop and automate data pipelines, ETL processes, and system connections.
We check that your data is accurate, fast, and reliable.
We set up your data platform and then provide continuous monitoring and support your platform for optimal performance.
Our development stack covers web, mobile, and cloud ecosystems — underpinned by Microsoft Azure, .NET, React, Python, Power Platform, and AI frameworks. We embed intelligence through Agentic-AI modules and ensure governance through DevOps best practices. Every solution is built with performance, scalability, and data security at its core.
At Data Inseyets, we help different industries make the most of their dataRetail: Bring together sales, customers, and stock data for easy, combined reporting.Finance: Create safe, real-time reports to meet rules and help with better decisions.Manufacturing: Connect production, transport, and supply data to predict and plan ahead.Professional Services: Automate reports and bring client data from different systems into one place.
SaaS Pipeline Integration
A local government worked with Data Inseyets to bring data from two main systems, a citizen services portal and an asset management platform, into a single location. Using the Azure Data Factory, we were able to collect, clean, and load this data into their Azure Bronze Layer. The results were: faster insights, better data control, and automated workflows replacing manual exports. This setup now supports the next steps for Power BI and advanced analytics.
SaaS Project Data Integration
A regional construction company used a project management tool to track timelines and budgets but had challenges matching it with financial information. Data Inseyets developed a data process to extract project data into Azure, cleaned it, and prepared it for Power BI reports, so they could see their project progress, profits and resource use in real-time through Power BI instead of spreadsheets. The client's reporting time decreased by 70%.
Enterprise-wide visibility across operations, finance, and safety.
Faster, data-driven decisions with real-time analytics.
90% reduction in manual reporting for site-based teams.
Enhanced compliance and risk management through accurate data.
Future-ready platforms that scale with your data maturity.
We mainly work with Microsoft Azure, but we can also connect systems that use AWS, Google Cloud, or a different combination of platforms.
Most of our data engineering projects take 4 to 8 weeks, depending on the complexity of your data setup and how much data you have.
Yes, we do offer managed services and ongoing optimisation to ensure your data systems continue to run smoothly and efficiently.
Yes. We have experience integrating older (legacy) systems, as well as on-premise and cloud apps into one connected, modern data environment.
Contact us today to discover how our data engineering services can unify your data and power smarter decisions.
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