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Bullseye Charts for Complex Landscapes – Enrich Consulting

Veröffentlicht am von Dr. Richard Sonnenblick

Innovation-driven firms are always on the lookout for effective new ways to communicate the nuances of their product pipeline and competitive position to management, analysts, and the product teams within R&D. While the pipeline charts offered within Enrich Analytics have become a go-to best-practice for our clients, we noticed a few companies building radial charts to describe their portfolios when the number of products, competitors, or market segments became excessive. These charts were painstakingly built within Microsoft PowerPoint or Adobe Illustrator, and took many hours to create, refine, and curate as the landscape evolved.

Enrich now offers bullseye charts as a standard part of both Viewport and the Enrich Analytics Platform. Now users of Enrich Analytics can build these information-dense visualizations in seconds, with just a few clicks of a mouse.

These charts have two advantages over a standard rectangular pipeline or landscape chart:

  1. They can accommodate many more market/product segments as arcs around the bullseye than is possible on the y-axis of a pipeline chart
  2. With more room in the outer rings of the bullseye, they are well-suited to development life-cycles with extensive attrition that generally have fewer items plotted in the inner rings

To learn more about bullseye charts, watch our short (less than four minutes) video below. We look forward to your feedback on these visualizations and the role they play in your portfolio and competitive analyses.

 

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Geschrieben von Dr. Richard Sonnenblick Chief Data Scientist

Dr. Sonnenblick, Chief Data Scientist bei Planview, verfügt über langjährige Erfahrung in der Zusammenarbeit mit einigen der größten Pharma- und Biowissenschaftsunternehmen der Welt. Dank des im Rahmen seiner Arbeit gewonnenen Wissens hat er erfolgreich aufschlussreiche Priorisierungs- und Portfoliobewertungsprozesse, Scoring-Systeme sowie finanzielle Bewertungs- und Prognosemethoden zur Verbesserung von Produktprognosen und Portfolioanalysen entwickelt. Dr. Sonnenblick hat einen Ph.D. und einen Master in Engineering and Public Policy von der Carnegie Mellon University sowie einen Bachelor in Physik von der University of California Santa Cruz.