BI / DWH Implements ideas into reality

BI / DWH

Nivid BI DWH

The exponential growth of information, heterogeneous silos, unstructured formats and poor data quality pose challenges in information management. They prevent businesses from utilizing information effectively.
Business Intelligence (BI) and Data Warehousing (DWH) address these challenges by unearthing the hidden value in information assets to facilitate informed decisions.

We offers end-to-end BI and DW services (Reporting and Analytics), Maintenance and Support. Our services cover Business Intelligence road map, data warehousing implementation, analytics, reporting, data mining, data quality and master data management. Finally, we create Dashboard Reporting Solutions that takes data and turn it into useful, meaningful information for business users. Here is the strategic architecture at high level.

Our Technologies:

1 Database MS SQL Server
2 ETL Tool MS SQL Server Integration Service (SSIS)
3 Analytic Tool MS SQL Server Analysis Service (SSAS)
4 Reporting Tool MS SQL Server Reporting Service (SSRS)
5 Data Modelling Tool MS Visio and ER Studio


Our Approach & Methodology:

Any data warehouse project can seem overwhelming at the beginning, but Nivid Technologies Inc. will partner with you for your entire project, from start to finish. Our consultants have been involved in dozens of data warehousing and business intelligence projects over the last 10 years. We are seasoned experts in all phases of the development life cycle, including:

  • - Project planning, organization and management.
  • - Working with the business to gather business requirements, create data models based on these requirements and designing BI functionality to meet these needs.
  • - Designing and implementing DW and BI architecture.
  • - Designing data models and databases to implement these models.
  • - Integrating data from other applications such as CRM, SCM, ERP, and Web.
  • - Selection and use of Extract, Transform & Load (ETL) tools to populate the necessary databases.
  • - Selection and use of Business Intelligence (BI) & On-Line Analytical Processing (OLAP) tools to provide the necessary business functionality.