Organizations are collecting and warehousing unprecedented amounts of data about their customers, transactions, competitors, marketing campaigns, internal operations, and many others.
However, few companies are managing them in a structured manner. Often the process of defining data, modeling their structure and relationships, collecting, archiving, extracting, analyzing, and presenting is conducted by technical staff, IT, and statisticians who are disconnected from the business. VCI understands the challenge and has developed processes, methodology, and tools to bridge the gap.
Data Management Process
We view data management as a business process, not a technical process. Through graphical representation, documentation, and presentations, VCI makes the entire process visible and easy for business people to understand. We align and integrate data definitions, data and entity relationship models, and extraction/analytics processes to business goals and expectations. This approach is critical in order to ensure the reports and dashboards are reflecting exactly what the business is intended to show.
Our approach to analytics is to identify key variables that determine the business outcome of interest to the company. We use those variables to build tools that help managers make decisions. We have developed customized data analytics and decisioning engines for some of the largest companies in the word. Examples include disposition of REO properties; borrower contact campaign, based on default probability; restaurant menu design, based on order patterns; and customer service prioritization, based on profitability.
Dashboard + Scorecard Design
VCI has designed and implemented scorecards and executive dashboards for numerous clients. Our approach to designing dashboards and scorecards is different from others. Prior to design we conduct extensive analytics to identify key causal variables that impact operational and financial outcomes of interest to senior management. Our methodology allows executives to concern themselves only with key variables and make fact-based decisions.