Full Life Cycle Implementation
GrayMatter has provided many of its clients with services covering the entire implementation life cycle of a Business Intelligence Deployment. These include Data Management (as described above); BI Platform implementation (customization of the BI Tool to serve the unique needs of the organization’s information delivery requirements); Reporting (standard and ad hoc reports, parameter driven reporting, automated report distribution); Analysis (Ad hoc Query and analysis by end users, dimensional data analysis, semantic layer); Visualization (executive dashboards, operational and strategic scorecards, metrics based alerting); Data Mining (trending and forecasting, predictive analytics). In other words, GrayMatter has been a Partner to some of our clients for the design, development, and delivery of a trusted information delivery mechanism

Reporting
GrayMatter sees BI reporting as completely different from the reports that transaction systems generate. The focus of operational reports is on the details and reflects up-to-the-second information. Operational reporting is typically used by the front-line operations personnel. Very short-term, detailed decisions are made from operational reports. In other words, operational reporting is about ‘what happened’ in your business or purely historical in nature.

But for making a decision, historical data is not relevant because a decision is arrived at once we know why something has happened. BI reporting or Informational reporting is much more strategic in nature, looking at summarized data and long-time horizons. It serves the management and analytical community and long-term and strategic decisions come from these reports. In other words, we at GrayMatter help our customers understand regarding the “why did it happen” aspect of their business, thereby facilitating better, informed decisions.

Adhoc Analysis
Analysis provide business users the ability to understand the underlying data within their organization, and more importantly, the power to interact with data and perform analysis of the information without having to get technical help on the same. GrayMatter puts the power of rich analytics in the hands of the business users to help them gain business insight enabling them to easily uncover the underlying issues and answers to their questions, and take informed decisions. GrayMatter delivers analytics solutions to its customers, by helping them drill into their business information, presenting multi-dimensional views, the ability to select which dimensions and measures to explore etc. For e.g. GrayMatter has helped one of our customers understand which markets are most/worst profitable, which sales channel is the most/worst effective, how does a marketing campaign contribute to sales and much more, by making available a set of self-service analytics to their knowledge workers.

Visualization
Solutions like dashboards and scorecards provide GrayMatter customers with immediate insight into individual, department and enterprise performance, by delivering key metrics in an attractive and intuitive visual interface. This allows business users to get the critical information they need to understand and improve organizational performance. GrayMatter visualization solutions are business tailored to the specific requirements of our individual customers, and delivered in rich, interactive visual displays to help them gauge immediately as to which key business metrics are on track and which need attention. In other words, our visualization solutions help in guiding the business users to causes of specific problems by helping them interact and analyze only the part of the information that requires attention, reducing information overload.

Data Mining
Data Mining is taking Business Intelligence to the next level, where many organizations would like to be but don’t get to. GrayMatter customers have reaped the rewards of adding data mining and workflow to the mix, realizing a truly sustainable competitive advantage and maximizing efficiency and effectiveness of their organizations. By running sophisticated algorithms, customers have uncovered meaningful patterns and correlations that otherwise were hidden. These, in turn, have helped them understand their business better and they have exploited these to improve future performance thru predictive analytics. The output of these analytics can then be viewed graphically and can also be interacted with programmatically or the output used as the basis for further reports, analysis, or processes.