An overview of SoftServe's Data Science service line

1. Cognitive Computing &
Data Science Expertise

2. Services
Data
Analysis
Predictive
Analytics
Social
Analytics
Artificial
Intelligence

3. Data Analysis
Business Goal:
Leverage historical data to gain powerful insights
into the business, markets, customers and services
Customer 360-Degree View
Aggregate data from various data sources to create
an ad-hoc analytical view across key customer touch
points
Data Exploration
Estimate business value and predictive power of the
data. Create a roadmap for creating new data-
driven solutions and services
Casual and Inferential Analysis
Discover hidden correlations and casual connections
between different business processes and events in
order to draw insightful business-driven conclusions
and support business critical decisions

4. Predictive Analytics
Business Goal:
Analyze current and historical facts to make
predictions about future or otherwise unknown
events
Sales Analytics
Discover hidden patterns in historical sales data to analyze
customer demand and optimize pricing strategy
Business and Financial Forecasting
Estimate future financial outcomes of a company, business
or market
Target Marketing
Identify product characteristics that resonate with target
market needs and preferences
Anomaly and Fraud detection
Identify business events and observations which do not
conform to an expected pattern or behavior
Risk Management
Identify, assess and prioritize business-related risks

5. Social Analytics
Business Goal:
Collect, process and analyze Social Media data to
discover insights leading to more information-driven
business decisions and increased customer
centrality for brands and businesses
Behavioral Analytics
Profile a customer based on social behavior patterns
Social Media Marketing
Leverage social media to market a product or
service
Information Flow
Discover the structure of business-related
information pathways in social networks
Opinion Mining
Collect, estimate and predict customer opinion
about the business

6. Machine Learning and AI
Computer Vision
Derive deep understanding of raw image and video
data, such as object or scene recognition, auto
captioning
Natural Language Processing
Process and analyze unstructured textual data to
achieve human-level language understanding
Speech Recognition
Perform spoken language processing (speech-to-
text and text-to-speech) from raw audio data
Business Goal:
Solve business problems by learning the solution
directly from the data without explicitly
programming

7. Data Science Toolkit

8. Data
Integration &
Processing
Data
Warehouse
BI
Platforms
Big Data &
NoSQL
BI and Big Data Toolkit

9. Project Methodology & Lifecycle
Research
Phase
Data
Collection
• Data assessment
• Data source selection
• Data integration
• Data cleansing
Business
Understanding
• Interviewing business and
technical stakeholders
• Requirements collection
• Domain research
Data
Exploration
• Data understanding
• Data transformation and
aggregation
• Data analysis
Data
Modelling
• Hypothesis testing
• Predictive analytics
• Machine learning
Evaluation

10. Project Methodology & Lifecycle
Prototyping
• Simulation design
• Creating PoC and MVP
• End-to-end modelling
• Creating an implementation
and deployment backlog
Deployment Phase
Model
Integration
• PoC migration
• Operationalization
• Codebase adoption
Performance
Tuning
• Hyperparameter
optimization
• Runtime optimization

11. SoftServe’s Contribution to Software Industry
Big Data Chapter in a Carnegie-
Mellon SEI Series book
Strategic Prototyping method
featured by IEEE Software
Magazine
SoftServe Big Data Poker game,
now is a part of SEI Architecture
courses
(smartdecisionsgame.com)

12. Cognitive Computing &
Data Science Offerings for
Business

13. Retail
Business Area:
• Customer 360 view
• Product recommendation
• Direct marketing
• Opinion mining
• Sales analytics
• Logistics optimization
Customer and business insights, deep understanding of customer’s profile and
behavior, more revenue and cost savings

14. Healthcare
Business Area:
• EMR processing
• Patient monitoring
• Biometric data analytics
• Decision support systems
• Computer-aided diagnosis
• Precision medicine
Better decisions across the board – from personalized treatments and preventive
care to hospital operations

15. Finance
Competitive advantage by incorporating new types of unstructured and semi-
unstructured data into financial decision-making, building predictive models and live
market simulations
Business Area:
• Financial forecasting
• Price optimization
• Risk management
• Fraud detection
• Blockchain analytics

16. Telecom
Business Area:
• CDR analytics
• Geospatial analysis
• Anomaly and fraud detection
• Network optimization
Real-time and batch predictive analytics to analyze subscriber behavior and create
individual network usage policies

17. HR
Business Area:
• Workforce analysis
• Capacity management
• Employee retention
• Talent analytics
• Resume screening
Deep insight on company's employee profile to help HR departments in solving
employee-focused challenges

18. Social Media Marketing
Business Area:
• Social profiling
• Information flow analysis
• Promotion optimization
• Community detection
• Behavioral analytics
Hidden trends, patterns and relationships discovery in social media in order to
enable micro-market campaign management, maximize engagement and optimize
social promotion strategy

19. IT Infrastructure & Security
Ultra-large data analysis to improve overall service availability and reduce time
required for root cause analysis and actions
Business Area:
• Operations analytics • Network log analysis
• Anomaly and Intruder detection • Cloud optimization

20. USA HQ
Toll Free: 866-687-3588
Tel: +1-512-516-8880
Ukraine HQ
Tel: +380-32-240-9090
Bulgaria
Tel: +359-2-902-3760
Germany
Tel: +49-69-2602-5857
Netherlands
Tel: +31-20-262-33-23
Poland
Tel: +48-71-382-2800
UK
Tel: +44-207-544-8414
EMAIL
info@softserveinc.com
WEBSITE:
www.softserveinc.com
Thank You!