ELEKS' comprehensive data engineering services transform raw data into strategic business assets, covering the entire data lifecycle from initial audit to strategy development, monetisation, and performance optimisation. Our expert data engineering team delivers tailored solutions that enhance decision-making capabilities, establish efficient data processes, and create new revenue streams, all while ensuring data security and compliance.
By partnering with ELEKS, businesses gain access to specialised expertise in artificial intelligence and machine learning, business intelligence, big data solutions, and modern data platforms that can scale efficiently with growing demands. Our structured approach to data engineering enhances organisational collaboration, reduces time-to-insight, and unlocks the full potential of your information assets.
Our team of data engineers and software development experts assess your organisation's infrastructure, technologies, policies, procedures, and processes throughout all data lifecycle stages. Following the data audit, we produce a report containing a detailed overview of your data ecosystem, highlighting risks and providing actionable recommendations for improvement.
We develop a tailored and comprehensive data strategy for managing your company's data assets, which includes a migration roadmap from the current state to the desired state of data architecture. This strategic approach effectively addresses data challenges by establishing customised parameters for efficient, secure, and compliant processes that align with and support your core business objectives.
Our business intelligence experts assist you in implementing comprehensive reports and customised dashboards that transform raw data into actionable insights, highlighting patterns, trends, and anomalies. You will gain valuable insights into your customers, products, assets, and operations, providing your organisation with a competitive advantage through evidence-based decision-making and strategic planning.
We transform your company's data into quantifiable economic advantages through expert data monetisation services. Our approach helps create new revenue streams, reimagine customer experiences, and optimise business operations by identifying and leveraging untapped value in your existing data assets and establishing sustainable data-driven business models.
Our DevOps experts and data engineering consultants establish robust delivery and change management processes for your data, models, and related assets. By employing established methodologies and best practices in data engineering, we empower your organisation to process and analyse data significantly more swiftly, reducing time-to-insight and enhancing operational efficiency.
We help you improve your data management efficiency by facilitating migration between vendors or transitioning from traditional data warehouses to cloud-enabled big data services. Our structured approach ensures seamless migration from legacy systems to modern platforms. We ensure minimal disruption while maximising performance gains and future scalability options for your organisation.
Our data governance and data quality services help you implement comprehensive policies and standards to enhance data security, availability, compliance and usability. We establish clear frameworks for data ownership, access controls, and quality metrics that ensure regulatory compliance. You'll be able to maximise the strategic value of your information assets across the enterprise.
We design and implement comprehensive data storage solutions and modern data platforms tailored to your specific business requirements. These solutions can be complemented by flexible data lakes for storing diverse data types in their native formats. Such an integrated approach enables efficient data processing, provides scalability and supports artificial intelligence and machine learning applications across your entire data ecosystem.
Our big data engineering services help organisations process, analyse and derive value from complex datasets that exceed traditional database capabilities. We implement scalable architectures to handle high-volume, high-velocity, and high-variety data streams. Our bespoke solutions enable real-time processing, advanced analytics, and actionable insights from previously unmanageable data, enabling new operational efficiencies.
We analyse and enhance the performance of your data systems through specialised optimisation techniques, identifying bottlenecks and implementing targeted solutions. Our approach includes refinements to data architecture that significantly improve processing speeds, reduce costs, and ensure your data infrastructure scales efficiently with growing demands.
Deploy an actionable data strategy that provides a robust framework for processing and analysing information across your enterprise. This unified approach to data management enhances organisational collaboration, ensures regulatory compliance, drives data ROI and unlocks the full potential of your information assets.
Transform raw data into actionable intelligence with our expert data analytics, data management, and BI solutions. You can start leveraging insights that enable leadership to identify trends, predict outcomes, and make strategic decisions.
Our comprehensive data engineering services will support your organisational growth by enabling you to analyse data significantly faster, reducing time to insight, and improving operational efficiency. You'll be able to identify opportunities, optimise operations, and create competitive advantages that drive sustainable business development.
Optimise data workflows through streamlined architectures that minimise processing time and system downtime. Our engineering approach incorporates automated pipelines, performance monitoring, and resource optimisation to ensure operational continuity and maximise system availability.
Implement thorough governance policies and procedures that protect information integrity and sensitive assets. Our systematic approach to data management establishes quality controls, security protocols, and compliance measures that foster trust in your data ecosystem.
Our team of data engineers evaluates your current data infrastructure and business needs to devise a customised data strategy and roadmap. We work closely with your stakeholders to pinpoint opportunities, potential challenges, and KPIs.
Following the roadmap, we create a comprehensive data infrastructure that includes tailored data pipelines, data warehouses, and governance frameworks through iterative delivery cycles.
We assist your transition from legacy platforms with a carefully crafted strategy that prioritises operational continuity, data security, and minimal disruption to business.
We establish comprehensive data governance frameworks and automated quality control protocols to ensure accuracy, completeness, and consistency throughout your data ecosystem.
We employ sophisticated monitoring systems that offer real-time insight into the performance of your data infrastructure, usage patterns, and potential issues before they affect operations.
Data engineering is the practice of designing, building, and maintaining systems necessary for storing, processing, and retrieving organisational data. It involves developing automated pipelines that transform raw data from various sources into structured formats that can be easily accessed for analytics and business intelligence. Data engineering empowers organisations to convert information assets into insights for strategic decision-making.
Data engineering facilitates quicker, more informed decision-making by ensuring timely access to dependable data. Furthermore, data engineering establishes the foundation for advanced analytics, artificial intelligence implementation, and data-driven innovation that fosters competitive advantage.
Data engineering designs and builds infrastructure and data pipelines to collect, store, and prepare data for analysis. Data science uses statistical methods and machine learning on this prepared data to extract insights, identify patterns, and develop predictive models.
Your business probably requires data engineering services if you face challenges such as slow reporting cycles, inconsistent data among departments, difficulty scaling your data infrastructure, or an inability to effectively integrate multiple data sources.
Modern data engineering uses a diverse technology stack, including frameworks like Apache Spark and Databricks for large-scale data processing. Database technologies range from relational databases (MS SQL Server, PostgreSQL, Oracle DB, MongoDB) to NoSQL solutions (Azure Cosmos DB, Amazon DocumentDB, MongoDB, Apache Cassandra), cloud warehouses (Snowflake, BigQuery, Redshift) and cloud analytical suits like Azure Synapse Analytics and Databricks Lakehouse. The ecosystem also includes orchestration tools like Airflow, streaming tools Apache Kafka, containerisation with Docker, Kubernetes and languages like Python and SQL for data transformation.
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) tools are specialised software solutions that automate the process of extracting data from various sources, transforming it to meet business requirements, and loading it into target databases or data warehouses for analysis.
Data engineering is pivotal to cloud migration. This practice involves designing architectures that support data assets while ensuring performance, security, and cost efficiency. Data engineers develop strategies to transfer data between on-premises systems and cloud platforms. They frequently redesign data pipelines to leverage cloud-native services for improved scalability and reduced maintenance.
The breadth of knowledge and understanding that ELEKS has within its walls allows us to leverage that expertise to make superior deliverables for our customers. When you work with ELEKS, you are working with the top 1% of the aptitude and engineering excellence of the whole country.
Right from the start, we really liked ELEKS’ commitment and engagement. They came to us with their best people to try to understand our context, our business idea, and developed the first prototype with us. They were very professional and very customer oriented. I think, without ELEKS it probably would not have been possible to have such a successful product in such a short period of time.
ELEKS has been involved in the development of a number of our consumer-facing websites and mobile applications that allow our customers to easily track their shipments, get the information they need as well as stay in touch with us. We’ve appreciated the level of ELEKS’ expertise, responsiveness and attention to details.