- log in
Posted by Boris Evelson on August 22, 2007
by Boris Evelson.
I get many questions on dashboards and scorecards and the role these tools play in BI (Business Intelligence). If we use Forrester’s definition of BI — a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information — then we see that dashboards are just the tip of the BI iceberg. One cannot build “just a dashboard”, without considering, architecting and implementing many other necessary BI layers and components such as data integration (ETL, data quality, etc), analytics (OLAP), metrics management, and many supporting components such as collaboration, knowledge management, metadata and master data management, and others. So that’s the first key takeaway: do not be fooled by 2nd tier dashboard vendor claims that one can implement an enterprise wide dashboard easily and inexpensively.
Let’s start with definitions, since I see the terms dashboards and scorecards used interchangeably:
- Dashboards are just one style of interactive user interface, designed to deliver historical, current, and predictive information typically represented by key performance indicators (KPIs) using visual cues to focus user attention on important conditions, trends and exceptions.
- Scorecards are a type of a dashboard which link KPIs to goals, objectives and strategies. Many scorecards follow a certain methodology, such as Balanced Scorecard, Six Sigma, Capability Maturity Models, etc.
- Other types of dashboards include Business Activity Monitoring (BAM) dashboards and visualizations of data / text mining operations.
Today’s dashboards are no longer static graphs and charts. Best of breed dashboards implement 6 necessary components of so called ADV – Advanced Data Visualization:
- Visual/Actionable GUI
- Visual Query
- Dynamic Data Content
- Multiple Linked Visualizations
- Geospatial Representations
But even ADV is not enough for turning information into decisions and actions – which is really what dashboards (and BI) is all about:
- Yesterday’s dashboards contained historical information, were refreshed by, at best, on a daily basis and supported mostly strategic decisions based on historical data and trends
- Today’s dashboards are more about real time situation assessments that support not just strategic, but also tactical and sometimes even operational decisions
- Tomorrow's dashboards will be imbedded into everyday business processes and will enable users not just make decisions but take immediate actions and see the results of their actions in real time.
What are the key parameters to consider when implementing a dashboard solution? Ensure that your dashboard architecture supports the following functional requirements:
- All ADV functions
- All standard chart types (thermometer, gas gage, street light, etc)
- Custom chart types (business specific images, non-standard maps – yes, I’ve seen high tech countries like India and Israel assigned to North American sales regions!)
- High degree of personalization
- Combination of structured data and unstructured content, process and data visualizations
- Actionable information
The following technical considerations are also key:
- Evaluate RIA (Rich Internet Applications) architecture alternatives (Ajax vs. Adobe Flex)
- Make sure dashboard architecture is compatible with your choice of browsers (IE, Mozilla, Netscape, Firefox, Safari, Opera)
- Address mobile / disconnected users requirements
- Remember that browser based (HTML only) dashboards have many limitations. Consider alternate technologies – plug in (player such as Flash/Flex, Microsoft Silverlight)) or desktop / client-based solutions (JavaFX).
And last, but not least, remember that today’s and future applications, including dashboards, must be “designed for people and built for change”!
Search Forrester's Blogs
The dynamics that will shape the future in the age of the customer »
Planning for innovation and risk in the wake of Brexit »
Forrester's CX Index
Predict how actions to improve CX will affect revenue performance.
Measure the customer experiences that matter most »
- Anjali Yakkundi (34)
- Art Schoeller (2)
- Boris Evelson (165)
- Claire Schooley (2)
- Danielle Geoffroy (1)
- Diego Lo Giudice (24)
- Dominique Whittaker (4)
- Duncan Jones (1)
- Gene Cao (1)
- George Lawrie (19)
- Holger Kisker (38)
- Ian Jacobs (13)
- Jeffrey Hammond (31)
- Jennifer Belissent, Ph.D. (2)
- John Bruno (4)
- John R. Rymer (46)
- John Wargo (11)
- Jost Hoppermann (34)
- Kate Leggett (153)
- Kyle McNabb (12)
- Leonard Couture (1)
- Liz Herbert (3)
- Margo Visitacion (9)
- Mark Grannan (12)
- Martha Bennett (13)
- Michael Barnes (21)
- Michael Facemire (21)
- Mike Gualtieri (124)
- Nick Barber (19)
- Noel Yuhanna (10)
- Paul Hamerman (2)
- Philipp Karcher (1)
- Phoenix Zhang (3)
- Randy Heffner (15)
- Rowan Curran (2)
- Stephen Powers (23)
- Ted Schadler (38)