2. Agenda
• Interactive dashboards: what & why
• Business Intelligence basics
• Case study
• Work done
• Lessons learned
• Choosing a platform
• Other applications:
• Olympics
• Asset/Facilities management
• Smart Cities
• Geographic
• Operational and Analysis Dashboards
• Summary for RICS Members
3. Definition of Interactive Dashboards
Simple dashboard is adequate for:
• Limited information
• Readers with similar skills and information needs
Typically delivered in an Excel workbook with up to a
dozen sheets
User-interaction adds:
• Navigation
• Drill-down
• Threshold control for exception reporting
• Filter control (e.g. sliders)
• Choice of display formats for naïve or expert users
Excel offers limited interaction but database solution
offers more potential
4. Potential of Data Visualisation
Use of a database increases potential of visualisation:
• Handles large volumes of data
• Increased productivity
• Gain new insights that were not obvious before
• Common vision – do you see what I see?
• Increased user interaction:
5. Need for Automation
Hand-crated ‘executive scorecards’ impractical with large data
volumes
Essential to design data flow.
• Data source, usually Line-of-Business systems
• Staging area, for receipt and cleansing of data
• Data warehouse for storage
• Data extraction to answer queries
• Data visualizing for user, often by the user, i.e. self-service
Data flow is typically web-enabled, and independent of the
Systems-of-Record
6. Initial Scoping
Demand-side: Who are the stakeholders and what
do they want?
• Organisational goals and objectives
• Personal ‘wins’
Supply –side: What data is available?
• Inventory of systems, applications and data
What technical infrastructure is available?
• Communication and storage options
Gap analysis
Initial
dashboards
Key
performance
indicators
9. Dashboard & System Design
Base around ‘Use Cases’ (Story-boards)
• Who are the user groups
• What type of dashboard: Operational, Strategic, Analytical
• Group data logically
• Make data relevant to users
• Avoid data overload – rely on navigation
• Avoid visual clutter
• Consider reporting cycle and decision-making cycle
10. Case Study: Monitoring the National Porfolio
“Developing a national level Programs/Projects Monitoring Dashboards
on a recent project was a true challenge for Malomatia’s Analytics team,
from standardising the data structure through Service Level Agreement
governed data feeds, to having a User Interface that is intuitive,
interactive and easy to use. Developing a business-oriented dashboard
& story-board, and aligning it with a highly creative User Interface,
allowed us to report very sophisticated project data in fast and user-
friendly ways, catering for the needs of country leaders, agency heads,
project and budget analysts, and project managers“.
Khalil Khalil, Head of Analytics, Malomatia.
16. Choosing a Platform: Range of Features (Gartner)
Enable
• Business User Data Mashup & Modelling
• Internal Platform integration
• BI Platform Administration
• Meta-data management
• Cloud Deployment
• Development and Integration
Consume
• Mobile
• Collaboration and Social Integration
• Embedded BI
Produce
• Free-form Interactive Exploration
• Analytics Dashboards and Content
• IT-Developed Reporting and Dashboards
• Traditional styles of analysis
17. Gartner ‘Magic Quadrant’
Described as
Gold Standard
by Gartner
Two products,
QlikSense &
QlikView
Traditional Business
Intelligence tools
18. Beware: Not Big Data
Large volume of data does not equate to ‘big data’
Most dashboards based upon:
• Relational data based management system
• Structured data and Structured Query Language
• Record all past transactions
In contrast, Big Data:
• Typically based on Hadoop
• Not based upon data schemas
• Flexible mapping
• Pass-through data
However this traditional contrast is beginning to blur
25. Possibilities for RICS members?
Improve the usability of a construction dashboard
Design a dashboard from scratch
Manage a dashboard implementation
Corporate performance measurement
Web-enabled lifecycle management