Everyone wants to make better data-driven decisions. Reporting is getting in the way.
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.
As one BI & Analytics executive said recently, “We could improve decision-making if reporting didn’t consume most of our time and resources."
Consolidating and streamlining reports is straightforward with decision management. 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).
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).
Builds a shared understanding with business clients and IT
Revives analytic projects that are stuck or have lost their purpose
Operationlizes analytics results
The webinar details several case studies where we have helped analytics teams adopt decision modeling with significant benefits to their project results, collaboration and demonstrable business impact. You can download the companion Leading Practices Brief here.
Upcoming Events
IBM InterConnect: Pioneering Clinical Decision Services with Decision Modeling at Kaiser Permanente - March 20, 2017
Kaiser Permanente is developing clinical decision support (CDS) applications that automate real-time decision services using IBM ODM. KP is adopting decision modeling with the DMN standard to replace guideline documents. Our decision models and tables are encapsulated as decision services and deployed in real-time IBM ODM applications. This talk will describe two scenarios that demonstrate this pioneering technique.
Predictive Analytics World: The Role of Decision Modeling in Creating Data Science Excellence - May 16, 2017
Cisco’s Data Science Office focuses not just on data science, but also on shaping the questions and answers for Cisco’s operational groups. One critical success factor has been using decision modeling to create Business Understanding – the first step in the CRISP-DM methodology that Cisco uses. Clear and shared understanding of the business problem frames the analytics to be developed and ensures those analytics can be operationalized.
Get started today with decision modeling. You'll be glad you did. Email or call me.
