Big Data can help Indian SMEs a lot to leverage their data to improve bottom line. This deck was presented by Ellicium at Pune Data Conference - 2018.

1. Big Data For Indian SMEs

2. SME
Small And Medium-sized Enterprises

3. Indian SME Sector
50 Million SMEs
40% of India’s workforce
SME account for over
37% of India’s GDP

5. Reasons
Rise of SME focused B2B
ecommerce
Access to finance Adoption
Second generation entrepreneurs eager to enhance their revenue by bringing in
operational efficiency and transform customer experience!

6. SMEs in India touted to be a $25.8 billion market by 2020!

7. Problems Faced By Indian SME’s
Lack of finance Lack of technology Lack of market intelligence

8. Emerging technologies will have big impact on $25.8 billion SME market!

9. Big Data Is For Big Players Only!
Myth 1

10. Indian SMEs are not ready for Big Data.
Myth 2
Over the last couple of years, small and mid-size Indian companies have seen more big data
deployments than the big competitors.
Debase
Gupta SQl
Fortran
Pascal

11. Big Data is exuberant and takes ages for
implementation.
Myth 3

12. Why Indian SMEs should adopt Big Data?
• Emergence of new businesses
dependent on technology
• Big Data and Business
Analytics go hand in hand
• Competitive Landscape
Hence essential to have actionable
insights and intelligence in business
• Big Data can empower SME’s
journey to next level

13. Big Data: Reinventing SMEs Business Processes
Retailers Claiming Business Back
• Flubit.com, an online marketplace which generates competitive offers
based on interest in a designated product, essentially diverting
customers away from Amazon back to small, independent retailers.
The analysis of accounting documents
• Properly prepared and interpreted information can bring
profit on every possible level
Data collection, Use of information, Conclusion
Create better marketing campaigns
• Hypermarkets perform daily analysis of data on transactions using
their loyalty card – for better promotion of specific client segments

14. Industrial Asset Monitoring Using Big Data
One of the top 10 IoT companies in India with
focus on Industrial asset monitoring
Client Business Outcome Expected
 Reduce the total cost of IoT infrastructure.
 Migration to a data store capable of handling
large data volume
Solution Architecture
(To Come here)
Business Benefits
 Scalable architecture for growing
business
 Oracle license cost saved
 Capacity to offer unstructure data
analytics to their end clients

15. Business Outcome Expected
• Reduce the total cost of IoT infrastructure.
• Migration to a data store capable of handling
large data volume
• HBase data store on IBM
Cloud
• Cloudera 5.4 platform
• 16.5 million records / hour
Pentaho 5
reporting
Data Lake
Analytics Engine
Reporting
Solution
Data Load
Engine
• R analytics engine
• 2000 Analytical
functions configured
• Data quality +
business rules
Data streaming
from machines
Solution Architecture
Industrial Asset Monitoring Using Big Data
Business Benefits
• Scalable architecture for growing
business
• Oracle license cost saved
• Capacity to offer unstructured data
analytics to their end clients

16. Benefits
• Exposure to secure cloud environment.
• Translated Business Logic to Simplified tables.
• Better performance of Reports and dashboards.
• No impact on Business As Usual (BAU).
23000 Tables
50 + Reports
Leveraging Big Data For Low Cost Data Archival

17. Our Experience
They are open to
adopt tech!
As hierarchy is not
rigid, decision
makers are easy
to approach
CXOs in SMEs are
aware of tech
trends
Next generation
entrepreneurs are
more proactive
towards tech

18. Our Learnings
Start With Proof of Concept
Solutions should be cost effective
Understand business problem
and focus on pain areas
Usage of Cloud
Agile Method
Become partners rather than
vendors
P O C

19. Future
Generic and easy to deploy
Big Data solutions
Rise of managed services Rise of SMEs contribution
towards data analytics
market