This document discusses data visualization and dashboards. It begins by stating that the focus is on how great data visualization can provide a competitive edge for individuals, teams, and organizations. It then provides a primer on the key things any effective data visualization must allow users to do: discover and access information, visualize/analyze/understand insights, and share/discuss/act on insights. The document goes on to discuss different types of dashboards - strategic, operational, analytical - and kinds of audiences. It pitches data visualization consulting services from FusionCharts, covering evaluation of existing visualizations, execution of full-cycle builds, and co-creation as a strategic partner. Examples of different dashboards are also provided.
12. things that any great Data viz
must allow you to do
Discover and Access
INFORMATION
13. things that any great Data viz
must allow you to do
Discover and Access
INFORMATION
Visualize, Analyze
and Understand
INSIGHTS
14. things that any great Data viz
must allow you to do
Discover and Access
INFORMATION
Visualize, Analyze
and Understand
INSIGHTS
Share, Discuss
and Act on
INSIGHTS
31. vital stats explained
1.
Strategic Dashboard
Simple, concise and contains aggregate metrics representing the
over all organizational health
Ex: Executive Dashboards, Financial Dashboards, Planning etc.,
32. vital stats explained
1.
Strategic Dashboard
Simple, concise and contains aggregate metrics representing the
over all organizational health
Ex: Executive Dashboards, Financial Dashboards, Planning etc.,
2.
Operational Dashboard
Monitor real time operations and alert the users to deviations
from the pre-set norm
Ex: Network Monitors, Patient Monitors, Manufacturing Dashboards
etc.,
33. vital stats explained
1.
Strategic Dashboard
Simple, concise and contains aggregate metrics representing the
over all organizational health
Ex: Executive Dashboards, Financial Dashboards, Planning etc.,
2.
Operational Dashboard
Monitor real time operations and alert the users to deviations
from the pre-set norm
Ex: Network Monitors, Patient Monitors, Manufacturing Dashboards
etc.,
3.
Analytical Dashboard
Complex, highly interactive and allows users to understand
trends and why things are happening or not?
Ex: Campaign Management, Sales Forecasting, Route Optimization etc.,
35. vital stats explained
1.
Analyze & Publish
Typical target users are analysts who build dashboards as
tools to discover insights and then publish them
for consumption by business users
36. vital stats explained
1.
Analyze & Publish
2.
Design & Deploy
Typical target users are analysts who build dashboards as
tools to discover insights and then publish them
for consumption by business users
Business users are the target users and they usually drive
requirements, which in turn are implemented by IT
and analysts play the role of an advisor / subject
matter expert
38. So, what’s the pitch?
Data Viz Consulting from the pioneers
39. So, what’s the pitch?
Data Viz Consulting from the pioneers
3 things
That you might need
for all your data viz
40. So, what’s the pitch?
Data Viz Consulting from the pioneers
Evaluation
3 things
That you might need
for all your data viz
Existing Dashboards, apps,
reports etc.,
41. So, what’s the pitch?
Data Viz Consulting from the pioneers
Evaluation
3 things
That you might need
for all your data viz
Existing Dashboards, apps,
reports etc.,
Execution
Full-cycle builds of data viz
artifacts
42. So, what’s the pitch?
Data Viz Consulting from the pioneers
Evaluation
3 things
That you might need
for all your data viz
Existing Dashboards, apps,
reports etc.,
Execution
Full-cycle builds of data viz
artifacts
Co-creation
Strategic partner for all things
data viz
44. So, how do we fit-in?
Data Viz Pioneers with 6 core products
45. So, how do we fit-in?
Data Viz Pioneers with 6 core products
11+ years
In the business
22,000+
Customers
500,000+
Developers
46. So, how do we fit-in?
Data Viz Pioneers with 6 core products
11+ years
In the business
22,000+
Customers
500,000+
Developers
Fab Crew
Quants, Geeks, Designers
47. So, how do we fit-in?
Data Viz Pioneers with 6 core products
11+ years
Fab Crew
22,000+
Expertise
In the business
Customers
500,000+
Developers
Quants, Geeks, Designers
Across Industry Verticals
48. So, how do we fit-in?
Data Viz Pioneers with 6 core products
11+ years
Fab Crew
22,000+
Expertise
500,000+
Multiple
In the business
Customers
Developers
Quants, Geeks, Designers
Across Industry Verticals
Engagement Models