GroupVisual.io

Unparalleled experience in data visualization, business analytics, dashboards, reporting, B2B software application design, decision support and data-driven user interfaces

  • Design

    What does design have to do with analytics?
  • Data

    All data is part of a narrative. We unlock the stories in data through the design of the user experience.
  • Decisions

    Data is about enabling decisions. We design data in better ways to enable better decisions.

What does easy to use really mean?

Everyone agrees that BI (business intelligence) needs to be “easy”. But what really defines easy? And easy for whom: technical implementation and support teams, analysts and report writers or business management and decision makers?

With all due respect, the bar is set pretty low to make things easier for technical teams—traditional BI tools are so complex to implement and maintain that there are whole industries of consultants who specialize in tool-specific services. And the same can be said of the analyst and reporting staff, whose roles and job security, as I’ve said before, are defined by the gap between data and decision making. The real challenge is making BI tools easy enough but still meaningful enough for business people to use.

What decision makers require is:

  • Access to live data in a form that exposes pertinent information, patterns and anomalies at-a-glance
  • Capability to then ask follow-on questions based on what is identified (i.e. is that still an outlier if we look at historical performance or just in this category over this last period?)
  • Capability to document and share findings and insights
  • Reduced reliance on analyst and IT grunt work

-Angela Shen-Hsieh

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    Advanced Gantt charting & timeline analytics
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    Designing for decision making—not the same as workflow
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    Hear about us in Business Week Magazine
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    Read about us in Xconomy
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    Watch us on ZD Net’s “At the Whiteboard”
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    What does easy to use really mean?
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    Q&A: dialoguing with your data
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    Finding insights in Medicaid data

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