Experts in the Complete Business Development Life Cycle

CentraLytics data warehousing & business intelligence methodology comprises the disciplines of project management, requirements gathering, data engineering, architecture, implementation, and deployment with due consideration to the growth and maintenance of the resultant data warehouse & business intelligence platform. We maintain vendor certifications from leading database and data warehouse vendors to ensure that our professionals are versed in leading and emerging best practices for data warehouse design and development. We have developed a technique, Managed Code for Applications (MCA), that allows our teams to adapt, integrate, and deploy our extensive codebase to your data warehouse installation.

CentraLytics begins your data warehouse initiative with an assessment to evaluate your organization's readiness to undertake data warehousing and develop a plan to address and eliminate deficiencies before they become evident and cause delays (or failure) within the overall project life cycle. Working with our blended team, we interview your organization's team members, establish the peer basis for the overall project, and identify executive sponsors, success criteria, priorities, and alternatives within an overall project timeline.

CentraLytics then undertakes data engineering and dimensional modeling to characterize all aspects of the Entity-Relationship model of interest to your organization. We conform dimensions, identify pertinent facts and dimensions, identify useful data marts, and develop the overall bus architecture that constitutes the foundation for your data warehouse.

Once the data warehouse physical design is complete, our engineers develop and implement the project with an eye to building end-user applications and educating users on warehouse maintenance, reporting, and business intelligence to deliver maximum value to your business firm. We coach and consult to your team to plan for growth of the warehouse, expansion of data marts, and augmentation of required reports.

The key part of the business intelligence system is the Online Analytical Processing (OLAP) cube and its preprocessed aggregate functions. The OLAP cube contains all measures, dimensions and hierarchies required to characterize and report on your business. The OLAP system is specifically designed to provide analysts and executive management with instantaneous and easy access to aggregated business data.

Effective decision support requires specific, measurable business goals. The objective of data warehousing and business intelligence is to obtain accurate, actionable and timely information that itself feeds back into the decision-support process. A properly-designed business intelligence OLAP cube matches the structure of the business organization so that the decision maker finds the intelligence intuitive and representative of the business operations.

CentraLytics is your partner in the data-warehousing process. We provide extensive expertise in business modeling, data architecture, and technology implementation for Global 1000 business firms.