BI & DWH

Business Intelligence & Data warehousing - Organizations investing in data warehousing and business intelligence (BI) initiatives recognize the important role of information in the decision-making process. Business reporting and performance management efforts depend on a foundation of trustworthy information. Data management technologies can give you a comprehensive view of your business and ensure your data is accurate and up-to-date. 

How can we help ?

Our team has a core competency and significant record of success in Infrastructure services encompasing around data center services, data warehouse and business intelligence integration projects. Our consultants possess extensive knowledge of systems, data warehouse technologies and methodologies. They employ our proven, flexible, repeatable development methodology geared to the unique problems inherent in reporting and data architectures or datacenter transformation. Our technical skill base covers all the technologies and techniques necessary for successful infrastructure and data warehouse services.

From business requirements and project management to targeted technical skills, NATH Consulting Services provides all of the services necessary to create and realize a warehousing vision. Our service offerings include:

Data Integration

Data integration allows you to quickly integrate data from multiple enterprise systems to support the development of a data warehouse or departmental data mart.

Data marts and warehouses

Pre-built data marts allow you to accelerate your BI deployment and gain rapid access to data from enterprise applications such as SAP, Oracle, SAS, Sybase, Teradata and Greenplum.

Decision engines and analytical applications

While data warehouses and data marts provide an easy-to-use, central repository of useful information, decision engines turn the data into knowledge that can be used in making key business decisions such as:

-          Marketing the right products and services to the right clients

-          Cross-selling products and services to existing clients based on knowledge gained through transactions with different departments and through different channels

-          Improving client support by routing calls appropriately in the support queue

-          Streamlining business processes by enabling instant decisions based on a client's credit history and an organization's business rules

Data Mining Applications

Businesses of all sizes have embraced data mining as a process for improving the bottom line. With enormous amounts of client information now centralized in enterprise data warehouses, and improved technology to support integration and dissemination of information for marketing purposes, data mining and analytical client relationship management (CRM) applications appear to have the potential to greatly improve marketing ROI. However, there is growing sentiment that investments in data mining and analytical CRM have not paid substantial dividends.

Independent Perspectives