BIG DATA ANALYTICS FOR SMES

Relevant, Smart and Useful

Vandana Saini Senior Research Scientist/Big Data AnalystGeotab Inc.

Van.saini@gmail.com

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

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

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.

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

0% 10% 20% 30% 40% 50% 60%

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

CLOUD COMPUTING: THE WAY TO GO..Rent compute power and software products from an external provider as neededCost-effective platform for building big data analyticsReadily scalableNo upfront investmentTap into new markets and data-driven decision making across the business, all in real-time

Adopted

Implementing

Considering

Not considering

Not sure

0% 5% 10% 15% 20% 25% 30% 35% 40%

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.

CHOOSING APPROPRIATE BIG DATA SOLUTION

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

REAL-TIME BUSINESS STATSACTIONABLE INSIGHTS

ADVANCED INTERACTIVE ANALYTICS

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

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

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

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

QUESTIONS?

Van.saini@gmail.com905-301-7125