Information is the key to making the right business decisions at the right time.
By reducing the information complexities, competitive better, faster and more informed decisions can be made.
Organizations accumulate and store massive amounts of data that is critical for operating the business. If this data is linked together into comprehensive reports, it offers invaluable business insight. When decision makers have access to linked, integrated information at the moment they need it, they can respond to change quickly and make decisions that drive business performance and optimization.
Unfortunately, many companies collect and store their data in multiple, disparate sources. Data is not always easily accessible and storing reports in different systems means there is no enterprise view of the data. Any comprehensive analysis is often assembled by hand in a spreadsheet. In addition, companies in this situation are usually maintaining multiple copies of data, leading to confusion about which data is accurate and official.
Turning your critical data into meaningful information often involves business and technical complexities that are labor and time-intensive. Implementing a data warehouse for business intelligence requires careful planning and development. Aspire's Business Intelligence service helps companies to become proactive and "information agile." Companies are able to quickly respond to problems and take immediate advantage of opportunities. We assess the huge amount of transactional data that you have, and help you extract knowledge and business, functional, and technical aspects of the solution.
Aspire's Business Intelligence (BI) Practice has strong focus in providing services in implementing end to end BI solutions with varied technologies in ETL, Reporting and Analytics. Our team has rich experience in wide range of technology skills such as Informatica, Abinitio, Data Stage, Business Objects, Crystal Reports, Cognos, Data Integrator and SAS.
BI Service Offerings:
Analysis
Business Intelligence Assessment
Assess effectiveness of current BI systems including the need to re-engineer or build newer ones, benchmark current effectiveness against industry, measure ROI, evaluate solutions and tools
BI Strategy and Roadmap Development
Build a business case, help achieve management consensus, manage analytical capabilities to drive business performance
Design
BI Architecture and Planning
Perform business analysis, enterprise architecture definition, conceptual design, tools recommendation, initial planning
Information Management Alignment
Align process methodologies, define data governance model, balance needs of various business areas, ensure effective metadata and master data management
Data Acquisition and Integration
Identify relevant source entities and attributes, ensure dimensional conformation, clear performance bottlenecks, carry out data cleansing and data quality checks
Data Modeling
Develop schema definitions, develop data marts - enterprise, dependent, independent
Data Crunching
Define aggregation rules, hierarchy roll-up algorithms, base and computed measures, time-series analysis
Data Presentation
Define reports, prepare universe, define and build cubes, publish reports, slice and dice, drill-up, drill-down and drill-through