Big data analytics can provide valuable insights for small and medium enterprises (SMEs). While SMEs have less data than larger corporations, analytics can determine relevance within available data and help SMEs make strategic decisions, improve operations, enable faster analysis, and gain competitive advantages. Cloud computing provides a cost-effective way for SMEs to access big data tools without large upfront investments. Choosing the right analytics framework and solutions tailored for SMEs' needs, along with proper resources and organizational alignment, are keys to success with big data projects.

1. BIG DATA ANALYTICS FOR SMES
Relevant, Smart and Useful
Vandana Saini
Senior Research Scientist/Big Data Analyst
Geotab Inc.
Van.saini@gmail.com

2. BIG DATA: MORE THAN JUST AN ENTERPRISE TREND
• Data may be perceived as “big”, but it is more than just an
enterprise trend
• Appropriate tools to analyze and visualize available data reveals
overlooked opportunities and actionable insights

3. SMES: DATA DIMENSIONS
As SMEs don't have access to the same amount of data as larger
corporations, does it mean
SMEs can't make use of Big Data?
• Volume: Use analytics to determine relevance within available
data
• Velocity: Drive to deal with torrents of data in real-time
• Variety: Managing, merging and governing varieties of data
• Variability: Inconsistent data flows with periodic peaks
• Complexity: Connect and create relationships, or the data can
quickly spiral out of control

4. VALUE OF BIG DATA FOR SMES
Big data market for small and medium-sized enterprises (SMEs)
will grow at a compound annual rate of 43 per cent until 2018
because the returns on investment meet client expectations.
0% 10% 20% 30% 40% 50% 60%
Make strategic decisions
Improve operational effectiveness
Faster analysis
Detailed analysis
Targeted marketing
New sources of competitive advantage
Better customer retention
Better product/service quality
Dramatic cost reduction

5. ADVANCED SKILLS AND TECHNOLOGIES
• Operational vs Analytical
• Big Data is not a single technology, technique or initiative.
• It is a variety of hardware/software architectures including
clustered parallel servers using Hadoop/MapReduce,
in-memory analytics etc.
• Challenge is adapting the right operational and decision
processes

6. CLOUD COMPUTING: THE WAY TO GO..
Rent compute power and software products from an external provider
as needed
Cost-effective platform for building big data analytics
Readily scalable
No upfront investment
Tap into new markets and data-driven decision making across the
business, all in real-time
0% 5% 10% 15% 20% 25% 30% 35% 40%
Adopted
Implementing
Considering
Not considering
Not sure

7. BIG DATA COMPANIES:
SOLUTIONS TAILORED TO SMES
• IBM Corp.
• Hewlett-Packard
• Oracle Corp.
• Teradata Corp.
• Amazon Web Services Inc.
• Cloudera Inc.
• Google Inc.
• Microsoft Corp.

8. CHOOSING APPROPRIATE
BIG DATA SOLUTION

9. BIG DATA: CHANGING THE RULES
• SMEs major investment includes:
Business management software and data analysis tools
• Reinventing the personalized service with greater insights
• Provide personalisation and customisation tailored to the
specific needs
• Look forward and change before the market does

11. REAL-TIME BUSINESS STATS
ACTIONABLE INSIGHTS

12. ADVANCED INTERACTIVE ANALYTICS

13. THE BIG DATA FAILURE: WHY PROJECTS FAIL?
• 55% SMEs of big data projects don’t get completed or fall short
of their objectives
• Lack of investment in both people and resources
• Choosing the right framework with low costs and low skill-gap
• Right organizational alignment

14. SURVEILLANCE AND PRIVACY
• Secure computations in distributed data frameworks
• Real-time security/Compliance monitoring
• Scalable and composable privacy-preserving data mining and
analytics
• Cryptographically enforced access control and secure
communication
• Granular access control and audits

15. INTELLIGENCE DRIVEN SECURITY
• Diverse data sources with security related information
• Automated tools to normalize diverse data types
• Advanced monitoring systems based on risk models
• Active control to mitigate high risk activities
• Centralized warehouse for security analysts to query
• Standardized views in machine readable forms
• N-tier infrastructures for scalability

16. CONCLUSION
Big data is here to stay..
Data-driven decision
making
•Massive data
•Networked
applications
environment
•Shared system and
analytics in cloud
Cloud Security
•Fast algorithm
•Detecting
dependencies
Scalability and
optimized fast
throughput

17. QUESTIONS?
Van.saini@gmail.com
905-301-7125