How Big is
Big Data business?
Ihor Malchenyuk
October 23 – 24, 2015

Innovecs is a US business technology outsourcing company,
headquartered in Ukraine.
We’re building our reputation by creating cutting-edge
software products for our clients all over the world.
We work closely with client’s teams to ensure that the
products you want are the products we deliver every time –
and that we routinely exceed expectations.
We extend Silicon Valley engineering spirit to create
the best products for our clients worldwide
Our Mission

Innovecs Offerings
3
4 countries
250+ employees
Ukraine, USA, UK, Israel
Global Presence
Strategic Business Units
Technology Solutions
Cloud, Mobile, Web practices in
Logistics, E-Commerce, Insurance
Digital Marketing, Telecom and Media
Enterprise Solutions
ECM and Productivity, Big Data and
Analytics, Transportation, Blockchain
for Public Sector and Enterprises
Gaming
Mobile, Social and Casino development,
2D and 3D art, Animation & VFX
Game re-skins or projects from scratch

What Big Data is?
3. Velocity
2. Variety
1. Volume
Value
Storing everything,
not valuable information only
Rapid growth of data volume
Fast generation, capturing,
processing and consumption
Multiple sources and formats,
mostly non-structured data

5
Tim Lahan © 2015 The New York Times Company

Horse tram
Hansom Cab Horse drawn omnibus
Great Horse Manure Crisis
London, 1894 – seemingly insurmountable problem was resolved

Why Big Data is so important?
Big Data exploitation is a business imperative
“Big Data isn’t just one more technology initiative. In fact, Big Data isn’t a technology initiative at all;
it’s a business program that requires technical savvy”
“The (effective) use of Big Data will become a key basis of competition and growth for individual firms.”
“89% of business leaders believe Big Data will revolutionize business operations in the same way
the Internet did”

If I had asked my customers
what they wanted
they would have told me that
they wanted a “faster horses”
Henry Ford (alleged)
Why Big Data is so important?
…a business imperative – not just a technical way of making faster horses

Sentiment Analysis
captures unstructured data (e.g.
Facebook, Twitter) for real time
monitoring on brand or company
sentiment
Demand Signal Management
integrates all relevant demand signals
(internal and external – e.g. point of
sale and market research data) for
better demand forecasting and supply
chain efficiencies
Insights for Retail
measure the strength of the
relationship between products and
understand the impact of the
relationship on profit and revenue
Fraud Prevention
helps financial institutions to monitor,
detect, prevent, and investigate fraud
incidents more efficiently based on real
time monitoring of transaction data (e.g.
credit card)
Predictive Maintenance
helps customers to predict wear and
tear of equipment proactively based on
real time sensor data and schedule
maintenance (e.g., aircraft components,
tractors)
Customer Engagement Intelligence
helps sales and marketing departments
identify new market segments,
personalize marketing offers, and
manage customer relationships
Samples of Big Data enabled applications

360O Customer View
Product
Recommendation
Propensity to
Churn
Demand/Supply
Forecast
Safety and
Security
Network
Optimization
Insider Threats Real-time
Risk Mitigation
Asset Tracking Personalized
Healthcare
More samples of Big Data enabled applications

10%
75%
Use Analytics Today
Need Analytics by 2020
$2.01B
annual revenue increase possibility if the median Fortune 1000
business increased the usability of its data by just 10%
Sources: Gartner, Fortune Magazine
Missing new signals

12
Big Data market?
Experton Group Big Data Vendor Benchmark 2015

Hype Cycle for Emerging Technologies
Gartner, July 2015
Big Data was here in 2014

• $41.5B till 2018, growing at 26.4% CAGR or about six times the growth rate of the overall IT market
IDC, October 2015
• $49.3B till 2018 and $84B in 2026,
attaining a 17% CAGR for the forecast
period
Wikibon
• $122B in revenue by 2025
Frost & Sullivan
• In 2014 banking, communications,
media, utilities and wholesale trade
increased their use of Big Data
analytics the most
Gartner
How big is Big Data business?
Evaluation of Big Data technology and services market

15
High demand for Big Data skills
job trends by indeed.com

Cloudera 1040M Hadoop-based software, services and training
Palantir Technologies 950M Analytics applications
Domo 450M Cloud-based business intelligence
MongoDB 311M Document-oriented database
InsideSales.com 199M Cloud-based predictive analytics
16
Top 5 Most-Funded Big Data Startups
April 2015, Sources: MatterMark, forbes.com/startups/

1. Big Data is the explosion in data volume, variety, and velocity
2. Big Data revolutionizes the business and society
3. Big Data is market opportunity for you
• relevant to startups, products and established industries – it’s not something isolated or unique
• skills in huge demand, rates are soaring
• strong differentiation – easier to compete with India and Romania
• can revisit existing customers with Big Data proposals
• easier to PR, because not that many companies really advanced much into it
4. Big Data still has low entry point
• technologies are not that complex, you can grow your experts in 6-12 month
• technologies still developing, easy to jump in and become a core contributor
• products are not stable, customers cannot keep the "in depth knowledge“
• easier to build partnerships with vendors
5. Contact Innovecs to learn and to do more
17
Summary

Thank You!
Ihor Malchenyuk
VP of Enterprise Solutions
ihor.malchenyuk@innovecs.com
Skype ID ihor.malchenyuk
6Z Lepse avenue, Kyiv, 03680, Ukraine
www.innovecs.com