Presentation by Mr. Kushal Bhomick, Co-Founder, Teamstreamz

1. Winning with Data
- Notes From a Startup
Kushal Bhomick, CoFounder, TeamStreamz

2. TeamStreamz
• Enterprise technology - Software as
a Service.
• We help companies create impactful
sales experiences for consumers in
their distribution channel
• Singapore, 2015
• ~ 40,000 App Users in 74 countries
& 27 languages
• Over 30,000 retail entities
• ~ 1.5M user interactions / month;
150M interaction data points / month

3. Traditional sources of differentiation don’t work
anymore
1. An attractive market opportunity -
how will we create value?
2. An operating model consisting of
best practices - how will we
deliver value?
3. Sources of uniqueness and
competitive advantage - how will
we capture value?
• Geographical advantages
• High entry barriers to capital
• Regulatory protections
• Proprietary technologies
• …..

4. Cost of Predictions Falling Rapidly!
1. Prevalence of cheap sensors
2. An emerging contract were users/
companies are willing to share data for
improved services
3. A plethora of data management and
analytics tools that are practically free
4. Cloud economics for storage and
processing of data
5. Many tasks can be reframed as prediction
problems!
https://readwrite.com/2017/08/25/nutonomy-singapore-q2-2018/
https://hbr.org/2016/11/the-simple-economics-of-machine-intelligence

5. An Analytical Competitor
Extensive use of data,
statistical and quantitive
analysis, explanatory and
predictive models, data
engineering and fact-based
decision making.

6. No Magic Bullet. Unless…
1. Engine for company learning
2. Impacts our cost structure
3. Transforms our value to
customer

7. Some Examples…
• Customer support. Predict real-
time information about users issues.
• Learn. Correlate features (e.g.,
notifications) with user engagement;
A/B testing
• User Journey/Product. Directed
User Content >> automated &
contextual content
recommendations
• User Journey / Product.
Predictions for users for customer’s
purchase time / value

8. Where is our Data?
Our Data
About our business
operations
Generated from our
customer operations
Generated from our
platform
Customer Data
Data we capture and
unlock for our customers
3rd Party Data
Generated from our platform
(3rd party integrations)
Collect, organize and
abstract data from a
diverse set of sources
Data disaggregation:
Opportunities to bring
customer and 3rd party
data into our system to
increase value for all
parties
Data Sharing
Domain Expertise

9. Orchestrate /
Enrich /
Integrate
Persistent
Storage
Process for
Actuation
Process for
Insights
Digital Stream
(Mobile, etc)
Transaction
Systems,
Other Batch
Sources
Real-time streaming data
Batch & reference data
Exploratory Data Analysis and Models
Rules and Inference end-points
Sources of competitive advantage
1. Combining data sources
Capture, Curate, Combine & Integrate Ingest Process and Persist Explore, Model, Actuate
3. Process to actuations
2. Abstraction & modeling
Prior Knowledge
Domain
Real-time contextual interventions to applications

10. Our Journey
1. Mobile Application and scale out
engineering
2. Data Assets Inventory (internal and IPOS)
3. Embedded analytics
4. Architecture considerations
5. Data Discovery - hypothesis building and
testing
6. Cross disciplinary data teams
7. Scaling analytics and productization

11. Building a Data Centric Culture
1. Train staff to be
data-mindful
2. Train existing
engineers to acquire
quantitative skills
3. Build a culture of
quantitative tests.
Test and learn
approach!
4. Use data to support
internal decisions

12. Larger Challenges and Issues
• Data ownership. Rights. Who
owns the data?
• What about data models/
abstractions?
• Total Cost of Ownership
• User privacy, ethics and
regulations - GDPR, PDP,
Domicile, Processor - Processor
https://www.kaggle.com/morrisb/what-does-your-smartphone-know-about-you
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13. • In Summary…..
• Traditional sources of competitive advantage are diminishing and that represents an
opportunity!
• Cost of predictions are rapidly coming down & complex tasks can often be recast as a
prediction problem
• Unique window of opportunity to gain significant competitive advantage
• in capturing & combining data sources
• creating inferences & predictive models, and
• engineering actuations
• But we need to think core competency & organizational culture

14. Thanks