Data platforms
For seamless integration, actionable insights and unmatched strategic impact, empower your business with a custom data platform.
Get expert adviceWhat is a data platform?
A data platform is a unified infrastructure combining databases, data lakes, data analytics tools and frameworks that enable seamless data integration, storage, governance and analysis. Modern data platforms transform raw, unstructured data into actionable insights using technologies like distributed computing, data warehousing, machine learning and advanced analytics. With a robust data platform, enterprises are able to harness strategic decision-making, improved operational efficiency and accelerated innovation to gain a competitive edge.
What you get with our data platforms
We offer tailored solutions designed for scalability and flexibility that help businesses enhance operational efficiency, streamline data workflows with intelligent automation, and reduce manual interventions and latency. By incorporating advanced data science techniques and machine learning algorithms, we help businesses implement predictive modelling, real-time analytics, and anomaly detection, facilitating strategic decisions and maximizing operational efficiency.
Our approach ensures that stakeholders can swiftly retrieve, analyse, and leverage critical business insights, fostering collaboration and enabling smarter, organisation-wide decision-making. Our custom data platforms ensure robust governance and security, centralizing data storage, enforcing standardized policies, and safeguarding access controls to prevent data loss and security breaches.
Data platform solutions we deliver
Data warehouses
Designed for running queries and performing analyses, data warehouses are centralised containers and a 'single source of truth' for housing structured, historical data from different sources. Data warehousing provides users with structured data for analytics, reporting and business intelligence purposes and, in turn, facilitates strategic decision-making.
Data lakes
A data lake stores structured, semi-structured and unstructured data in raw format. This type of data platform supports advanced analytics, machine learning and exploratory analysis features. Data lakes offer flexible storage and are suited to businesses that deal with multiple data types and need a more scalable and cost-effective solution for managing large data volumes.
Cloud-based data platforms
We develop custom cloud-based data platforms that allow you to store, manage and analyse your data with the cloud's scalability, flexibility and cost-efficiency. If you want to modernise your data infrastructure, improve accessibility, introduce advanced analytics capabilities and scale your operations effortlessly, cloud-based platforms are a good choice.
Hybrid data platforms
With hybrid data platforms, we combine on-premises and cloud-based infrastructure to create a centralised framework, allowing you to manage and analyse data across both environments. If your business is transitioning to the cloud but needs to maintain some data on-premises – be it for security, compliance or performance reasons – hybrid platforms offer the flexibility required.
Real-time data platforms
With our custom real-time data platforms, you can process and analyse data as it's generated to leverage immediate insights and up-to-the-minute information. From finance to healthcare to retail, energy and transportation, industries can enable real-time analytics, monitoring and decision-making to support a broad range of use cases, including IoT sensors, fraud detection, dynamic pricing, content personalisation and much more.
Digital adoption platforms (DAPs)
With digital adoption platforms, organisations can tap the full potential of their software and digital tools. These platforms offer real-time assistance and contextual guidance for software users, lessening learning curves and streamlining the adoption of new technologies. This yields increased productivity, better accuracy and smoother digital transformations.
Integration Platform as a Service (IPaaS)
Our Integration Platform as a Service helps you integrate multiple applications, systems and data sources across your IT infrastructure. With a cloud-based IPaaS solution, you get a centralised hub for managing and automating data flows between dispersed IT systems – within your organisation and with external partners or services.
The value of a custom data platform for your business
Improved data accessibility and centralisation
Data platforms handle the aggregation and consolidation of diverse data sources and types – structured, semi-structured and unstructured – into a centralised repository. With this centralised approach, you'll improve your data's accessibility, allowing stakeholders to swiftly retrieve, analyse and leverage business-critical insights. This, in turn, provides alignment, fosters collaboration and enables smarter, organisation-wide decision-making.
Smarter business decision-making
Data platforms enable decision-making tools like predictive modelling, data mining and real-time data analytics using data science techniques and machine learning algorithms. With these capabilities, you can extract valuable insights from your operational data, uncover hidden patterns, detect anomalies and forecast trends to guide strategic decision-making and maximise your operational efficiency.
Enhanced operational efficiency
We develop and integrate custom big data enterprise platforms, allowing you to streamline data ingestion, transformation and processing workflows using advanced automation features. So, you can minimise manual data-management interventions, optimise data quality and reduce latency for improved operational efficiency, cost reductions and accelerated time-to-insights for business-critical decisions.
Robust data governance and security
Data platforms are essential for effective data governance, in any shape or size of organisation, providing centralised data storage and management, helping enforce standardised policies and safeguarding access controls. With data warehousing and a modern data platform, you'll be able to proactively prevent data loss and security breaches while maintaining compliance monitoring and streamlining lifecycle management.
Increased scalability for data initiatives
Our custom data platforms are designed and architected using the principles of scalability and flexibility – to accommodate an ever-changing data landscape. We develop and integrate solutions that allow for seamless expansion, to handle large data volumes, varied data types and growing computational demands. With this flexibility, you can rapidly scale your data initiatives, future-proof your data infrastructure and adapt to evolving business needs.
Streamlined collaboration and data sharing
Acting as centralised repositories, data platforms streamline collaboration and sharing at all levels of an organisation, making data easily accessible to authorised users. By adopting a custom big data platform, you'll create a unified space where your teams can securely share and access information and collaborate on data-driven projects and insights. This approach helps foster cross-departmental cooperation, accelerate operational decision-making and ensure alignment at all business levels.
How we develop and integrate data platforms
Planning and requirements gathering
In this initial phase, our data engineers and software experts work closely with you to understand your data sources and define your needs, business objectives and desired outcomes for the data platform. We conduct workshops and stakeholder interviews to gather requirements, define goals and outline project scope.
Data modelling and architecture design
At this stage, we translate the gathered requirements into a conceptual and logical data model. The architecture design includes defining the structure, components and technologies required for the data platform. Our experts then create data flow diagrams, choose optimal storage and processing technologies and outline integration points to ensure your data platform's performance, scalability and security.
Custom data platform development
Having defined the roadmap, scope and design specifications, we move on to developing, configuring and integrating the various components such as databases, data processing engines, ETL (Extract, Transform, Load) pipelines, APIs and user interfaces. And we ensure data accuracy, integrity and accessibility as per the defined requirements.
Deployment and maintenance
Once the custom data platform is developed, we carry out testing and validation to ensure it meets the predefined criteria. After that, we install, configure and launch your data platform into the production environment. Our team is also on hand to support you with post-deployment maintenance, monitoring, upgrading and support activities, so you can be confident in the platform's performance and alignment with your evolving business needs.
Industry-specific use cases for data platforms
- • A centralised repository for patient health records
- • Predictive analytics for disease prevention
- • Clinical research and drug development
- • Remote patient monitoring and telehealth
- • Implementing data platforms to optimise hospital operations
- • Consolidating customer data for segmentation and personalisation
- • Inventory optimisation and demand forecasting
- • Using data platforms to enable an omnichannel customer experience
- • Big data platforms for supply chain visibility and optimisation
- • Machine learning for demand forecasting and planning
- • Real-time analytics for in-store operations
- • Audience insights and segmentation using data platforms
- • Real-time analytics for streaming data
- • Content personalisation and recommendation engines
- • Ad targeting and monetisation using data tools
- • Implementing data platforms to manage rights and licences
- • Predictive content performance analysis
- • Data warehouses for financial reporting, analysis and business intelligence
- • Risk management, compliance and regulatory reporting automation
- • Predictive analytics for investment decisions
- • Data-driven budgeting and forecasting
- • Data platforms for real-time transaction monitoring
- • Asset Liability Management (ALM)
- • Data-driven risk assessment and underwriting optimisation
- • Using data platforms to streamline claims processing
- • Data analysis for customer insights and profiling
- • Customer segmentation and personalised services
- • Predictive analytics for loss prevention
- • Real-time policy management and adjustments
- • Real-time tracking of shipments and inventory
- • Predictive maintenance for fleet and equipment
- • Machine learning for route optimisation
- • Predictive data analysis for demand forecasting
- • Business intelligence for supply chain visibility
- • Data platforms for warehouse management
- • Predictive maintenance to minimise downtime
- • Data-driven supply chain optimisation
- • Data analysis for production scheduling
- • Data platforms for energy consumption monitoring
- • Data-driven inventory management and asset tracking
- • Machine learning for demand forecasting
- • Connected vehicle data analysis and performance monitoring
- • Supply chain visibility and optimisation
- • Predictive analytics for demand forecasting
- • Data platform for manufacturing process optimisation
- • Real-time monitoring and predictive maintenance for equipment
- • Data-driven predictive maintenance for equipment
- • Analysing geological data for exploration and resource management
- • Health, Safety and Environment (HSE) management
- • Predictive analytics for market trends and pricing
- • Data platforms for tracking energy consumption across operations
- • Geospatial analytics for site selection and planning
What distinguishes our data platform development services
Three decades of enterprise software development expertise
We have over 30 years of comprehensive experience in custom software development and a proven track record of delivering data-driven solutions across various verticals. So, companies in any industry can trust us to craft tailored, scalable and secure data platforms that align with their unique business needs and objectives.
Deep data strategy and data science competence
Our experts are specialised in both data strategy and data science, enabling us to provide strategic guidance and support throughout your data platform implementation. Our team will help you maximise the potential of your data, harness the resulting machine learning and data analytics capabilities and, ultimately, yield valuable, actionable insights for your business.
Streamline your data management with a tailored data platform
Unlock your data's potential with our advanced data platforms.
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