Get better business insights with our analytics and business intelligence solutions
Talk to our expertWith the digital disruption, there is an even bigger opportunity to derive value from the explosion of data. Trigent Business Intelligence Services help organizations collate relevant disparate data into data warehouses and build dashboards for visualization to allow users to analyze and derive useful insights.
We provide insights into sales, markets, products, customers, partners, employees and operations for better analysis of costs, revenue, performance, and risks. Our end to end BI Consulting Services include requirement assessment, gap analysis, planning, technology evaluation and selection, solution design and technical execution/implementation.
Our end to end services BI Consulting Services include requirement assessment & planning, gap analysis, technology evaluation and selection, solution design and technical execution/implementation.
We help you implement BI solutions on various platforms such as desktops, mobile (Android/iOS) and Cloud. A key offering is customized Self Service BI solutions and user centric Visualization solutions including dashboards and drill down reports.
We implement end to end BI Solutions, from ETL Process, Data Warehouse Design, and Development to building Visualization solutions. Our BI service delivery can be on desktops, mobile or cloud platforms.
Trigent can help you implement BI in various forms and deliver BI across platforms. We help you implement operational solutions, analytical solutions, self-service solutions and deliver these solutions on Mobile and Cloud platforms for your employees and customers.
Organizations are looking to exploit all the sources of data that they can collect and manage to leverage data as an asset and drive competitive advantage. Big data is a term applied to a new generation of software applications and system and storage architecture, all designed to provide business value from unstructured data. Big data sets require advanced tools, software, and systems to capture, store, manage and analyze the data sets, all in a time-frame that preserves the intrinsic value of the data.