Business decisions are only as good as the information on which they are based. However, over the last decade, data volumes have grown tremendously and compounded the intricacies involved in their processing and analysis. Industry trends indicate that this growth will rapidly accelerate, resulting in generation of multiple terabytes, even petabytes, of data over the coming years. Traditional business intelligence approaches will not be able to keep pace with this massive growth in data volumes and the complexities raised by the dynamic nature of today’s enterprise business. CoreLink offers business intelligence and data warehousing solutions that will keep pace with these developments and effectively manage your information assets to produce actionable intelligence that will enable you to take informed business decisions.

CoreLink’s Business Intelligence (BI) and Data Warehousing (DW) practice offers deep expertise in enterprise information management (EIM) that encompasses services like data integration, master data management, data warehouse management, data cleansing and quality management, creating dashboards and reports, advanced analytics and Corporate Performance Management.

At CoreLink, we offer solutions that enable enterprises to manage structured as well as unstructured information on a real-time basis and make it available to the business in the form of intelligible dashboards, scorecards, and drill-through reporting. Our integrated technology and operations led delivery model ensures assured business outcomes, through the following:

  • Organize, strategize, formulate and execute BI strategies.
  • Provide architecture consulting services including reference architectures (SOA) with capacity planning.
  • Install, configure, and benchmark BI infrastructure.
  • Provide data warehousing and data integration services to break down data silos and assess, analyze, and share data from disparate sources.
  • Engineer/Establish methodologies and proven processes to reduce latency in information availability, improve collaboration between business functions, and enable right-time decision-making capability
  • Build and maintain master data repositories, identify inconsistencies within the data, and cleanse/enrich it to gain useful information to meet business requirements.
  • Integrate various data sources within the enterprise including databases, data warehouses, enterprise systems, business intelligence applications.
  • Leverage Big Data to generate immense business value including higher operating margin, improved operational efficiency and quality, and reduced expenditure.
  • Enable organizations to solve core business problems by applying analytical insights in conjunction with performance management methodologies such as strategic goal setting, score-carding, profitability management, activity-based costing, budgetary control, driver-based financial and operational planning, and financial and management consolidation of businesses.