Organizations accumulate and store massive amounts of data—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. You need a partner who has experience in understanding the business, functional, and technical aspects of the solution. With more than 10 years of experience designing and implementing business intelligence and data warehouse solutions.
Globus IT helps organizations plan, prioritize, design, implement, and deploy Business Intelligence (BI) solutions at both the enterprise and departmental level. Our approach is based on best practices architecture and design techniques exposed by Inmon and Kimball and focuses on two key goals:
- Identifying and improving the essential performance measurement and decision processes in your organizationPragmatically adopting a phased approach to investment and functional delivery
- Globus IT’s experienced, industry-leading consultants assist, discover, and deliver BI solutions. BI Solutions are customized to your unique business requirements and provide proper requirements collection, planning, and analysis to determine size, scope, value, return, and readiness.
Data analysis, acquisition, and transformation bring together disparate fragmented data into a single enterprise view – addressing the need to get data into the data warehouse. During this phase we identify, acquire, organize, and consolidate data. During data warehouse creation, we design and create the data warehouse itself – ensuring a design that supports effectiveness in loading, retrieving, and archiving. Data presentation provides the reporting and interfaces for the data to be consumed – in the form of BI reporting, portals, dashboards, and KPIs.