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DATA ENGINEERING

We at Arayan believe data is a very important part of the business. We have business models tailored towards your business.

  • 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 proven Data Analytics Model (ADM) solution to provide you with performance and analytical advantages such as ensuring optimal data accuracy and maximizing insightful analysis. The Arm solution also provides the flexibility and scalability to support reporting enhancements.

  • An accurate data asset inventory is necessary to leverage data for strategic purpose. 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.

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

  • We help our clients create and implement a data integration plan that gives them improved intelligence for more informed decisions. Our data engineers have the experience and technical skills to strategically integrate multiple, disconnected data sources, creating a holistic view of our clients’ corporate initiatives, key performance indicators, customer journeys, market opportunities and more.

  • Modern data architecture provides you with a strong, accessible, and scalable foundation for better analytics, allowing you to fully leverage your data. Our data architects help you design and build an advanced architecture framework that will support your unique data strategy. This involves determining what information needs are essential, and translating those business needs into data system requirements.