Data platforms

What you get with ELEKS’ 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, organization-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.

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

ELEKS develops and integrates 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

ELEKS’ 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

Healthcare

Retail

Media and entertainment

Finance 

Insurance

Logistics

Manufacturing

Automotive

Oil, gas and energy

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 ELEKS' data platform development services from competitors

Three decades of enterprise software development expertise

ELEKS has 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

ELEKS’ 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.