BI Solutions

We help our customers achieve their business objectives by leveraging the best of BI and using best practices and state-of-the-art technologies to support our services and provide custom solutions. We offer end-to-end BI solution implementation services, from data consolidation through diving deep into analytical processing to real-time visualization and delivering insightful solutions that are faster and better.

Our Team perform Requirement Engineering at the very beginning of the projects, which include requirement elicitation from business departments or stakeholders helps us analyze business processes and requirements as well as create and maintain documentation. system modelling ,requirement validation, management and identify opportunities for improving processes and strategies with technology solutions.

Our Business Intelligence services will help extract knowledge from data coming from heterogeneous sources, integrate it into (ETL) which will make the data available for warehousing activities.For analytics, It ranges from gathering data to converting in uniform company accepted format till getting meaningful information from the data , turn it into insights with interactive dashboards using self service BI tools such as Tableau or Power BI selection of a BI platform is based on various factors, including the size and complexity of business operations and existing technologies.

We also provide reporting automation using MicroStrategy for creating out-of-box dossiers/datasets , ad-hoc reporting etc all these gives us the power to derive value from information to drive intelligent business decisions to gain a profitable business growth, cut wasteful expenditure, get customer insights.

Requirements Engineering

1. Requirement gathering/Requirement elicitation - Developers and stakeholders meet to discuss the needs and expectations regarding the software product.
2. Requirement analysis and negotiation - Requirements are identified (including new ones if the development is iterative), and conflicts with stakeholders are solved. Both written and graphical tools can used for the understanding purpose like use case/user stories and UML diagrams respectively.
3. System modeling - Design or Blueprint of the product require to be created before the development starts with the help of developer
4. Requirements specification Documentation - Creating Functional, Product, Business and Technical Requirement documents including Project Roadmap.
5. Requirements validation - Checking that the documented requirements and models are consistent and meet the stakeholder's needs. Only if the final draft passes the validation process, the RS becomes official.
6. Requirements management - Managing all the activities related to the requirements like changes, extensions etc

Data Analysis and Business Intelligence

1. ETL, Data ingestion form heterogenous sources and making it available for reporting using tool like Informatica, ODI or Python Lambda function and AWS Dimensional Data Modelling
2. Identifying dimensions and facts, built on star or snowflake schema depending on requirements creating Universe
3. In layman language, if I say then creating all the objects which are required for reporting and visualization. Technically speaking creating all the public, schema and application objects. Data Visualization
4. Gaining insights from the transformed data by creating meaningful dashboards. Performance Report, Ad hoc Reports and Business Dashboards