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Cognitive Computing &
Data Science Expertise
Services
Data
Analysis
Predictive
Analytics
Social
Analytics
Artificial
Intelligence
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
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
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
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
Data Science Toolkit
Data
Integration &
Processing
Data
Warehouse
BI
Platforms
Big Data &
NoSQL
BI and Big Data Toolkit
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
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
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)
Cognitive Computing &
Data Science Offerings for
Business
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
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
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
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
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
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
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
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!

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Cognitive Computing and Data Science expertise at SoftServe

  • 1. Cognitive Computing & Data Science Expertise
  • 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
  • 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!