1. 5 Killer Reports For Your Dashboard
Raleigh Salesforce User Group
January 27, 2012
2. Agenda
• GoodData at a Glance
• 5 Killer Reports for Your Dashboard
• Demo
• A few words from Mike Rogan @ Lenovo
• Q&A
3. GoodData at a Glance
• End-to-end cloud business
intelligence platform built to
scale BI to the masses
• Connects business people with
their silo d business data
• Operational dashboards,
advanced analytics, data
warehousing, integration;
all as an on-demand service
• Allows for ad hoc analysis /
data discovery by non-technical
users
• Any data, any system!
4. Typical BI Software Value Chain
Integration OLAP Reporting/
EDW Dashboards Visualizations Predictive
Quality Cube Query
SAP: NetWeaver BW, BOBJ, Crystal Reports, Web Intelligence, Explorer
Tableau SAS
Informatica Vertica Pentaho Actuate QlikView
Spotfire SPSS
5. Old School BI vs. GoodData
Dash
Dash
Report
Board
XLS
Board
Report
$$$,
Scattered,
Multiple The Future of BI
Truths
Cube
Cube
Cube
Cube
$$$, Slow,
Requires IT
to make
report
changes
GOODDATA
Data Mart 1
Data Mart 2
$$$, Need
Dedicated
IT to
Maintain
Data Warehouse
Hardware
- Empowers End Users
- Unburdens IT
- Rapid Time to Value
- Cost Efficient
$$
3rd Party
$$$, - The Complete Solution
CRM
SFA
ERP
Social
ETL service - Single Version of the Truth
needed
6. We Manage the Full Stack
…freeing customers to focus on core competencies
Infrastructure Platform Services Operations
Network Security Authentication
Distributed File System Sharing Resource Scaling
Distributed Storage Integration Availability
Workflow Engine Customization Connectivity
Data Warehouses Metadata Layer Monitoring
Event Stores Web Services / APIs Patch Mgmt
Data Marts Modeling Framework Upgrades
App Web Servers Reports Dashboards Backup
Load Balancers Notifications NOC
7. Agile Deployments
Releases
• Short release cycles – 2 weeks
• Rapid innovation
• Faster time to value
• Everyone gets the latest greatest
• No Upgrades!
10. Historical Trending Reports
• Track changes over time of
a specific metric or series of
metrics
• Enables you to see how
your business is changing
over time vs. only today s
view
• In this example, you can see
that while your sales
pipeline size fluctuates over
time, the majority of the
pipeline is dominated by
deals in the $5001-$50000
and $0-5000 range.
11. Tiering Grouping Reports
• Take any metric and group
them for easier reporting
and analysis.
• For instance, it is easy to
track deals that are 0-60
days old or opportunities
that are between $50,000 -
$2000,000. This example
shows a breakdown of the
sales pipeline by opportunity
age and deals that are 0-60
days, 61-120 days, 121-180
days, etc.
• Sometimes the simplest
visualizations are the most
powerful.
12. Waterfall Reports
• Track a cohort group of metrics
or facts over time to see what
happens to them. In this
example, we are tracking sales
deals that start a quarter in the
Discovery stage.
• You can see that 93.9% of the
deals remain in the Discovery
stage throughout the quarter,
while only 5.7% moved to a
later stage.
• Waterfall reports are useful for
uncovering trends and patterns
for marketing and customer
support analytics too. Track
tradeshow leads, page visits,
ticket sources and more.
13. Exception Reports
• Allows you to track metrics
that deviate from any set
standard. Tracking where
marketing leads, sales
opportunities or support
tickets are deviating from
the norm is an extremely
powerful reporting tool.
• In this example, we are
monitoring marketing
campaigns spends that are
greater than what sales
generated.
14. Multidimensional Reports
• For immediate visual insight, start tracking many dimensions of your data.
• You can track sales opportunities across size, age, win status and time.
• In this example we are tracking support activity across four dimensions: support
request, priority, case type and time. This reports is great for monitoring what
case types are closing the fastest according to priority status.
