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7. What does Governance mean?
• Is the data used for business decisions both current and accurate?
• Do you have the ability to deliver positive business outcomes with the dta?
• Does your data security meet legal, compliance and regulatory requirements?
• Protecting sensitive information and requires combining of efforts for an IT and business
approach.
8. • A competitive advantage
• Responsive product optimization
• Find out when a topic is starting to trend and what their customers are talking about.
• Brings into focus their influence on purchasing by others in their social networks.
• Business functions need customer insights not just for marketing campaigns, but also
for informing the organization’s sales, service, support, product development, and
other key functions about customer feedback and trends.
9. • Companies starting to choose the cloud when it makes sense for their business case
• Data location becomes more shifting towards cloud where necessary
10. Collaboration and Conversations with data replace static
dashboards
• Data is getting interactive enough that it can become the backbone of a conversation.
• Collaboration combined with good dynamic BI will drive business decisions
Everything integrates E.g. Internet of Everything
• 50B+ devices are expected to be connected over next decade
• Organizations are loosing patience with managing data from multiple data sources.
• Rapid integration leveraging simple interfaces is going to become the standard. – E.g.Alteryx
11. Mobile Solutions are maturing
Mobile solutions emerged many years back but are finally reaching a level of maturity that means that
mobile workers really can do light analysis from the road.
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13. 1. Address the elephants in the room – E.g. disagreement could be a DW platform selection
2. Divide work into bite-sized chunks that can be executed and funded within your company culture
3. Leverage what you have – Unless there is a significant gap
4. Articulate a clear business value – Must be viewed by the business as creating value
5. Avoid the miracle first year – There will be many “immediate needs”; don’t overpromise
14. • Who is my audience ?
• What decisions do they make?
• What questions do they need answered?
• Do they enjoy digging into the numbers?
• The dashboard’s level of detail and analytical capabilities should match
the audience comfort zone.
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16. • Help management define what is important
• Set goals and expectations for specific individuals or groups
• Help executives sleep at night because they know what’s going on
• Encourage specific actions in a timely manner
• Highlight exceptions and provide alerts when problems occur
• Communicate progress and success
• Provide a common interface for interacting with and analyzing important
business data
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18. Type of dashboard
• Scope : Broad or Specific function/Process/Product
• Business role
• Strategic : High Level, Broad and long term view
• Operational : focused, near-term and tactical view
• Time horizon : Historical, Snapshot, Real-time, Predictive
• Level of Detail : High level, Detailed – Drill-able
• Choosing the perfect metric – Actionable, Common Interpretation,
Transparent, Credible data
19. Dashboard Structure
• It requires a deep understanding of how the system you are
measuring works.
• Flow-based structure emphasizes a sequence of events or actions
across time.
• Relationships – could be mathematical, organizational, functional, or
geographical
• Grouping – group related information into categories or a hierarchy.
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21. The Design
• Organize the dashboard page
• Appropriate use of color to enhance
• Fonts
• Chart type that best fits your data
• Style charts to be attractive and
effective
• Maximize contrast between your data
and the background.
• AvoidVisual noise
Design Principles
• Compactness
• Gradual reveal – Don’t bombard
the user with all the information
at once.
• Guide attention – positioning on
the page, use of color and fonts..
• Customizable – Build flexibility
to allow the dashboard to
become relevant for different
users.
28. • Decisions
• Insights( past trends, emerging trends, and predictions of future state )
• Actions
Actionable Insights
Predictive Analytics + Visualization + Big Data
