Our health check services include an assessment, to review your existing reporting solution, compare it against industry best practices and make recommendations for improvement. With a roadmap, we provide a forward looking enterprise strategy tailored to your unique business needs and include a low risk iterative implementation plan to help you build a business analytics solution over time.
Data Discovery Services
We provide advisory and consulting services to guide your organization in the adoption of rapid self-serve analytics and visualization capabilities. Our quick start program enables you to start using data discovery in your organization. We create a working prototype, using your data to address real world business problems and experience first-hand the “art of the possible”.
Business and Embedded Analytics
Using our proven iterative BI systems development methodology, from initial business requirements definition to deployment, we offer comprehensive services including requirements, design, data warehouse build (ETL), reports, dashboards and cubes, and ad hoc query tools.
Our data warehouse (DW) toolset conversions can convert your existing DW within our BI lab. Options include lift and shift (move all objects as is) or move and improve (incorporate enhancements). We have a number of “accelerators” or pre-built objects that can help fast track the creation of your business analytics solution including templates for Microsoft Dynamics, Oracle PeopleSoft and standard back office functions including Finance, HR and Supply Chain.
With one foot planted in the today’s reality and the other in tomorrow’s art of the possible, we see hybrid solutions as the key to moving organizations into the cloud. We provide a planning framework for clients looking to slowly transition into the cloud while still maintaining some on-premise capacity. We provide a plan to address architecture, content, security, authentication, and an iterative implementation over time.
Big data is an all-encompassing term for any collection of data sets so large that it is difficult to process using traditional data processing applications. It is also a constantly moving target. We believe that while big data technologies are important enablers, the focus needs to be on big questions first and big data second. We help organizations address the issues of big data input (using technologies such as Hadoop) big data variety (with our modeling expertise), and big data answers (with our business driven approach).