BI Dashboards and Reporting

Streamline Reporting for Better Data-Driven Decisions

Everyone wants to make better data-driven decisions. Many companies are using reporting to support decision making but their ability to do so is bogged down. There are too many reports, resources are committed to existing reports and the link from reports to decision making is not well understood.

A simple decision model, easily understandable to business and IT, makes it clear which reports are relevant, which are redundant and what is missing. The decision model also clarifies where analytics could be included to further improve decision making, what data is relevant and what data storage is appropriate (data warehouse,data lake, etc).

From BI to Analytics – Reporting to Predictions to Recommendations

Dashboards are decision support systems, but paradoxically, their design does not usually consider decisions explicitly. Most designs are driven by user interface and information visualization requirements and by the underlying data models.

A decision-centric dashboard provides a logical structure for going beyond information presentation to predictions and recommendations so users can progress from “what happened?” to “what can happen?” and on to “what action can be taken?”

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Beginning with a decision model saves time and money. We are experts in decision modeling and we leverage this expertise to streamline the complete report consolidation effort. Our team has experience with a wide range of BI and data platforms (including Hadoop, Pentaho, MicroStrategy, QlikView, SAP BOBJ, Tableau and others). Contact us to discuss your project today.

Case Study – Decision-Centric Dashboard Design

This Enterprise IT Quality Management Group at a Fortune 200 Financial Corporation wanted to develop dashboards that would better support decision-making and integration and visibility with a wider range of data sources. These dashboards are used to manage 100+ projects being released every 2 weeks into production across hundreds of critical applications ranging from mainframe, client-server, web, and mobile applications. Multiple dashboards and reports from various quality management, requirements, project management, cost management, and defect management systems needed to be organized logically to support critical operational and strategic decisions.

Decision Management Solutions developed a comprehensive set of Decision Requirement Diagrams using the new Decision Model and Notation (DMN) standard and DMN-compliant DecisionsFirst Modeler software that clarified requirements for organizing and presenting Information Sources and Business Knowledge Sources. A role-based partitioning of these diagrams was used to design Quality Management dashboards.

Explicit decision modeling helped create an uncluttered dashboard design that included role-based displays with all required Information and Business Knowledge Sources presented in logical components. The graphical Decision Requirement Diagrams were invaluable in discovering gaps and in generating consensus.

Ultimately, organizational decision-making was captured – and not just the individual subject matter expert decision-making. This led to consistency and compliance with regulatory and best practices requirements. HP-Application Lifecycle Management (HP-ALM) and Assure TotalView technologies were then used to implement these decision-centric, actionable Quality Management dashboards.

HARNESS DATA-DRIVEN DECISION MAKING

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