Data Management & Business Intelligence
End-to-End Data Solutions That Turn Your Data Into Insights
We deliver Data Management & Business Intelligence solutions that turn fragmented data into a single, trusted source of truth and transform it into clear, actionable insights.
Our services cover Master Data Management, scalable data integration & warehousing, advanced analytics & data mining, and intuitive visualisation & reporting – all designed to fit organisations of any size.
Whether you need consistent master data across systems or real-time dashboards to drive decisions, we help you eliminate inefficiencies and adapt faster to change – without massive infrastructure investments.
Our Data Platform Expertise
We design and deliver modern data platforms using the tools that best fit your needs.
Azure Data Platform Stack
A modular solution typically consisting of:
- Azure Data Factory – scalable data integration and orchestration
- Azure Data Lake Storage Gen2 – secure, high-performance data lake
- Azure Synapse Analytics – unified analytics for data warehousing and big data
- PowerBI – interactive visualisations and business intelligence
- Microsoft Purview – unified data governance and compliance
Azure's comprehensive ecosystem enables end-to-end data solutions with seamless integration across Microsoft services.
AWS Data Platform Stack
A modular solution typically consisting of:
- AWS Glue – serverless data integration and ETL service
- Amazon S3 – scalable object storage for data lakes
- Amazon Redshift – fast, scalable data warehouse (with EMR/Spectrum when needed)
- Amazon QuickSight – cloud-native business intelligence and visualisation
- AWS Lake Formation – simplified data lake setup with Glue Data Catalog
AWS provides flexible, scalable infrastructure for building production-ready data platforms at any scale.
All-in-One: Microsoft Fabric

Microsoft Fabric is a cost-effective all-in-one data analytics solution that combines data lake, data warehouse, and AI capabilities in a unified platform.
Key Advantages:
- Unified platform eliminating integration complexity
- Built-in AI and machine learning capabilities
- Seamless integration with Power BI and Microsoft 365
- OneLake architecture for centralized data storage
- Simplified licensing and cost management
Fabric is ideal for organizations seeking a comprehensive analytics solution without the overhead of managing multiple platforms.
Master Data Management: Boomi DataHub
Boomi DataHub is an easy-to-use master data management solution that delivers significant synergy benefits when paired with complex integration needs.
Key Advantages:
- Native integration with Boomi's 1,000+ pre-built connectors
- Real-time iPaaS capabilities for instant data synchronization
- 360-degree view of master data across all systems
- Golden record creation and data quality management
- Low-code configuration for rapid deployment
Perfect for organizations needing both robust MDM and seamless integration across diverse systems.
Why Data Management is Important?
Effective data management becomes essential as your organisation grows. Data arrives from multiple sources and passes through many hands – without proper governance it quickly becomes duplicated, outdated or contradictory.
Properly implemented data transformation and cleansing guarantee high-quality, trustworthy data. It is important to remove duplicates, standardise formats, enrich records and apply business-specific sanitisation rules so that every downstream process and report starts from a clean foundation.
We also build production-ready agentic AI solutions that automate data processing – from smart classification and anomaly detection to fully autonomous workflows that react instantly to new data, with no human in the loop.
With the right processes and modern tools, you can keep critical data accurate and consistent at any scale.
Next Steps After Data Management: Building Business Intelligence
Data Management ensures the data is accurate and trustworthy, while Business Intelligence reveals what that reliable data is actually telling you.
Business intelligence brings together analytics, data mining, visualisation tools, infrastructure, and proven best practices to enable truly data-driven decision-making. In practice, you have modern business intelligence when you can see all your organization's data in one clear picture and actively use those insights to drive improvements, eliminate inefficiencies, and quickly adapt to new situations.
Layer 1: Data Integration
Collecting and combining data from all your sources
Data Integration connects diverse systems – ERP, CRM, databases, cloud applications, and IoT sensors – into a unified flow. This layer handles ETL/ELT processes, ensuring data arrives where it's needed, when it's needed.
Modern integration platforms handle real-time streaming, batch processing, and complex transformations seamlessly.
Layer 2: Data Warehouse / Lake
Securely storing and organizing unified data
The Data Warehouse or Data Lake serves as your single source of truth. This layer stores cleansed, transformed data in optimised structures for analytics and reporting.
Whether structured (warehouse) or flexible schema (lake), this foundation enables fast queries and historical analysis at scale.
Layer 3: Reporting & Visualisation
Turning data into clear insights
Reporting & Visualisation transforms data into interactive dashboards, charts, and reports that drive decisions. This layer makes insights accessible to everyone – from executives to operations teams.
Real-time dashboards, scheduled reports, and ad-hoc analytics empower data-driven culture across your organization.
Modern BI solutions scale seamlessly to businesses of any size, letting even small and medium-sized companies analyse customer behaviour, optimise inventory and marketing, and make smarter decisions – all without heavy investment.
Our Visualisation Expertise
We transform complex datasets into clear, interactive visualisations and real-time dashboards that give management and teams immediate insight and faster decision-making.
Industry-Leading BI Platforms

Power BI – Microsoft's market-leading BI platform with seamless Azure and Microsoft 365 integration, embedded AI features, and cost-effective licensing.
Tableau – The gold standard for intuitive drag-and-drop visual analytics and powerful storytelling capabilities.
Qlik – Associative analytics platform that lets users explore data freely without predefined queries.
What Happens Next?
While data visualisations are designed for human interpretation, the very same procured data can also be used to trigger fully automated processes.
Custom Applications That Turn Your Data Into New Revenue Streams
Since data usually resides in the cloud, it is straightforward to build custom, cloud-native software that reacts automatically to events in that data.
Aplika has extensive experience building production-grade solutions on Azure, AWS, and GCP – seamlessly integrating with both existing data solutions and new data lakes or warehouses.
A custom-built solution gives you complete freedom to implement exactly the functionality your unique business needs require – no compromises.
Adding Automation Layer On Top Of Your Data
There is also a fast and cost-effective way to achieve quick wins: adding an RPA layer on top of your existing data solutions typically takes only a few weeks.
Simple example: Real-time analysis of industrial sensor data detects an anomaly → the system instantly triggers an RPA robot. The robot logs into your ERP exactly like a human user, creates a ticket or error report, assigns the task to the right technician, and sends out a work-order email – all automatically.
The key advantage of RPA is that no changes to your current systems are required. The robot simply uses the existing user interface with regular credentials, just as any employee would.
Could we assist you?

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