Project Deliverable 1 Project Plan InceptionBy Justin M. Bla.docx
Thought leadership Oct2015 selfserve
1. Data Driven Decisions via a Self
Serve Ecosystem
Ron Krzoska
Director of Engineering, Analytics
Motorola Mobility
krzoska@motorola.com
Ron Krzoska
Director of Engineering, Analytics
krzs75@gmail.com
ronkrzoska
2. The Vision: Drive informed decisions that yield a
competitive advantage
4. How is data gathered?
On-Device Applications &
Services
Web Applications
Cloud ecosystem gathers data from the device and web applications on a
periodic basis*
● Data is stored in big data repository
*Must follow strict user opt in and privacy guidelines
for gathering device and web information. PII data
should be anonymized as appropriate
5.
6. How does the business use the data?
Business - Activation reports
Executive/key stakeholder users
Drives business objective
Device - Stability insights
Consumer and Development
Insights through product lifecycle
Customers - User Opinion Insights enable
the voice of the customer to be heard and
become actionable
Device - Analyzer Tool - Real time device
insight improves customer experience.
Experience - Insights identify consumer
usage and behavior to drive roadmap.
Ecosystem - The bedrock of a data driven culture. Robust community of users with bi-annual summit,
robust training and support environment via solution engineering, moto ask and data wiki
7. George who is leading the user experience on
a new feature is checking the latest experimental
results and adjusting the application’s setting in
real time during his commute
Requirements
Ubiquity
Insights on all form factor
With you at all time
Enabling real-time feedback loop, action and
communication
Insights
The source for business decision making
Explanation based Models and
Experimentation
Recommendation based on Alerts & Models
Predictions based on Extrapolation, Models
and Experimentation
Who uses analytics?
8. Inflection point/opportunity
How to promote self serve and
democratize Analytics within the
company while maintaining
quality as well as managing Big
Data access?
Prior environment
- Reports are produced by a
centralized team
- Insight needs are rapidly changing
- In the eyes of our customers, long
lead time on report evolution
Key assumption: Business
community gains SQL knowledge
9.
10. Attributes: Standard retrieval, flexible access and visualization
Institutionalize SQL culture
Responsive design
Report sharing
Report viewing
Multiple Access Points for Data
1. Browser Internal/External
2. Mobile App
16. An example of what’ possible with self serve big data
solution
● Approaching 1000 monthly users
● Over 60 developers of reports
● Data driven decisions are institutionalized
across the business
17. Conclusion
● A self service ecosystem is viable and effective in a large organization
● The ecosystem must include simple and intuitive tools
● A thoughtful support system is needed
18. In this presentation, Ron Krzoska will discuss the journey to a data
driven culture. This will be done through the lense of building a self
service analytics ecosystem. The vision, business value as well as user
profiles frame the path. The requirements have been realized with a
SQL based solution. The experience, learning and custom capabilities
to meet the needs of the business are discussed as well as the
adoption throughout the business.
Abstract
