Optimus SBR Data Services

Data Engineering

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Our team of data engineers & data architects is here to turn your data into action.

Organizations are constantly amassing data, but to derive value from it you must know how to optimize and transform that information into actionable insights. We can help you turn volumes of raw data into powerful business knowledge, giving you the tools to make informed decisions quickly.

We provide complete, end-to-end data engineering solutions to give organizations of all sizes the power to collect, organize, store, analyze, and utilize vast amounts of critical data, more effectively than ever before.

How We Help

  • Reporting and Analytics Optimization

    To ensure your business makes the most of your data and stays ahead of the competition, optimizing data structure for analytical reporting is essential.

    Our data engineering team employs our proven Analytical Data Mart (ADM) solution to provide you with performance and analytical advantages such as ensuring optimal data accuracy, simplifying data access, and maximizing insightful data analysis. The ADM solution also provides the flexibility and scalability to support reporting enhancements.

  • Data Asset Identification and Access Planning

    An accurate data asset inventory is necessary to leverage data for strategic purposes. It allows you to easily pinpoint gaps in your data collection and gain a greater understanding of the information that's already been collected. Creating a culture where decisions are informed by meaningful insights requires data access planning. We help organizations understand their data needs and ensure that the right level of access is granted, to the right people, at the right time.

  • Data Quality Improvement

    Our team of data engineering specialists can conduct an in-depth data quality assessment to rapidly identify issues and improve the quality of your analytical data. Optimus follows an industry-standard approach to data quality evaluation frameworks consisting of test plans, test suites, test cases, etc. This approach allows for thorough traceability of data quality issues back to their source and ongoing quality monitoring. It also ensures the data pipeline remains dependable once ongoing operations are established.

    We offer complete assistance to put automated processes in place that free up time and resources while ensuring dependable, accurate data that complies with your business requirements for consistency and accuracy. With automated tasks, you can trust your data is accurate, appropriate for decision-making purposes, and compliant with any applicable regulations or standards. A higher degree of data integrity throughout the business empowers better informed decisions based on more reliable insights - faster than ever before!

  • ETL Workflow Creation, Tuning, Maintenance, and Support

    Our data engineers provide data preparation and data processing expertise to create ETL (Extract, Transform, Load) workflows using an industry-leading data platform to clean, transform, and consolidate flat files into a data model best suited for business reporting and advanced analytics. These automated workflows greatly reduce costs, manual effort, and maintenance.

  • Data Integration Planning and Execution

    We help you create and implement a data integration plan that gives you improved intelligence to gain valuable business insights and make more informed decisions. Our data engineers have the experience and technical skills to strategically integrate multiple, disconnected data sources, creating a holistic view of your corporate initiatives, key performance indicators, customer journeys, market opportunities, and more.

  • Data Architecture and Data Modelling

    Modern data architecture provides you with a strong, accessible, and scalable foundation for better data analytics, allowing you to fully leverage your data.

    Through our data engineering consulting services, our data architects help you design and build an advanced architecture framework to support your unique data strategy. This involves determining what information needs are essential, and translating those business needs into data system requirements.

    Integral data architecture components include setting up data pipelines, data standards, data security, AI and machine learning data models, and data storage. Built with scalability in mind, our data analytics engineering services empower organizations with high-performance analytics, so they can drive strategic decisions to achieve their business goals and maximize success.