Data Science Partner of Choice: From Ideation to Implementation
Our latest thinking
Data science partner of choice:
From ideation to implementation
Leveraging Advanced Analytics for actionable insights has become a key driver for most business. In so doing, businesses are seeking both to differentiate themselves in the marketplace, and to achieve additional business growth. A challenge is that because the market is crowded with a plethora of products and technologies, business outcomes can be missed. And, it is easy to get lost in jargons and ideation while the competition surges ahead.
TCG Digital is focused on solving complex business problems through an inter-disciplinary approach. We leverage domain knowledge, technology skills, advanced statistical algorithms, machine learning tools, and leading engineering practices; thus driving value for our client organizations.
We provide you with a winning combination of experts. They are premiere consultants, data scientists, and domain specialists who combine engineering, mathematical, and data science expertise with domain knowledge to provide scalable and “best-fit” business solutions… all in an agile and synergetic manner.
Industry offerings
Big Data Analytics
Analyses large data sets with distributed processing to provide quick actionable insights.
Tools: Spark, Hadoop, MongoDB, Cloudera, Cassandra, NoSQL, ServiceNow, Oracle, SQL Server
Descriptive/Prescriptive/Predictive Analytics
- Our consultants, data engineers, and data artists use data aggregation and data mining to provide insights into the past, and to do deep-dives as part of problem solving. We work to understand the causes of events that occurred and their associated behaviors. Subsequently, there is a collaboration for decision-making through detailed reports and dashboards.
Tools: Tableau, Qlik, Business Objects, SSRS, Advanced Excel, Cognos.
- Our team of analytics consultants and data scientists use optimization and simulation algorithms: to advise on possible outcomes; to showcase viable solutions; and to consider the impact of a particular solution on future trends.
Tools: R, SAS, SPSS, Python, SparkR, PySpark, MLLib, custom - Our Predictive modelling experts use statistical models and forecasting techniques to understand the future and to provide recommendations of future actions.
Tools: R, SAS, SPSS, Python, SparkR, PySpark, MLLib, custom.
Strategic assets for every industry
Our latest thinking on Big Data and Analytics
Our 360-degree analytics approach focuses on the identification of specific business use cases, which are based on industry trends. These use cases are implemented by leveraging: a team of analysts; data scientists; and an award winning end-to-end analytics platform – tcg mcube
Aviation
- Airport Operation Management
- Channel Optimization
- Customer Journey
- Customer Sentiment Analysis
- Fuel Recommender
- Personalized Ancillary Recommender
- Pricing Optimization
- Revenue Target Forecasting
- Route Optimization
- Vehicle fleet allocation & management
Real time Device/Implement analytics
- Disruption Impact Assessment & Remediation
- Loyalty
Financial services
- Actuarial
- BI COE Support
- Campaign Performance and Reach Analysis
- Claims Reporting
- Compliance and Regulatory operations
- Custom BI for Business Forecasting, Benchmarking and Analysis
- Customer 360
- Customer Journey Analytics
- Hyper-segmented Product/Spend Tracking
- Marketing Analytics
- Portfolio Reporting
- Omni-channel Analysis
- Wallet Share Strategies
Government
- Balance of Trade
- Analytics
- Crime Analytics
- Customs Analytics
- Demographic Analysis
- Employment Generation Actuals & Scenarios
- Industrial Production & Utilization
- Public Sentiment Analysis
- Public Inclusion Actuals & Drivers
- Water Contamination Tracking and Analysis
Insurance
- Actuarial
- Agent Productivity Optimization
- BI COE Support
- Campaign
- Optimization
- Claims Driver Analysis
- Claims Reporting
- Customer 360
- Customer Risk Profiling
- Fraud Analytics
- Increase Customer Visibility
- Marketing Analytics
- Operational Analytics
- Portfolio Reporting
- Retention and Renewal drivers
Life sciences
- Business Performance Analytics
- Clinical Trials Enrolment Forecasting
- Clinical Trials Study Start Up Analytics
- Laboratory Cancellation Monitoring
- Operational Analytics for Clinical Trials
Manufacturing
- Actuals vs Delivery Metrics Consumption Analysis
- IOT Analysis
- Margin Driver Analysis
- Performance Analytics
- Product and Market Mix Optimization
- Production Monitoring
- Production Optimization
- Production Sequencing Continuous Manufacturing Quality Improvement
- Sales, Finance, Operations Reporting
- Stock Analysis and Demand Planning
Power & utilities
- Analytics for Loss Control Cell
- Analytics to Reduce Customer Visits to Regional Offices
- Analytics to Reduce Repetitive Customer Calls
- Business Performance Analytics
- Call Grouping Analytics
- Materials Consumption Analysis
Retail
- Business Performance Analysis
- Demand and Forecasting
- Inventory Optimization
- Merchandizing Workflow Analytics
- Personalization
- Price Optimization
- Product Affinity Bundle
- Promotion Assignment
- Sales Driver Analysis
Optimization
Optimization is used to predict the best course of action based on a set of constraints
Tools: R, SAS, Matlab, LinDo, Lingo, Minitab, Cplex
Data integration
Data integration is a precursor to most of our Business Intelligence projects. Data integration is a family of techniques, most commonly including ETL (extract, transform, and load), data federation, database replication, data synchronization, sorting, and changed data capture
Tools: Microsoft SSIS, Oracle ODI, Pentaho, Informatica, DataStage, Ab Initio
Data quality enhancement
To clean up flawed data in source system, our services aim to explore the data, find outliers and records with problems, and define cleaning rules, focussing on evaluating and improving the key dimensions of data quality : Completeness, Accuracy, Consistency, Relevancy
Tools: MSDQ, Talend, statistical algorithms, rule based cleansing, and manual cleansing methods.
Our 360-degree analytics approach focuses on identifying specific business use cases based on industry trends and implementing them leveraging a team of analysts, data scientists and an award winning end to end analytics platform – tcg mcube
Aviation experience
AVIATION
• Airport Operation Management
• Channel Optimization
• Customer Journey
• Customer Sentiment Analysis
• Fuel Recommender
• Personalized Ancillary Recommender
• Pricing Optimization
• Revenue Target Forecasting
• Route Optimization
• Vehicle fleet allocation & management
Real time Device/Implement analytics
• Disruption Impact Assessment & Remediation
• Loyalty
Aviation experience
Financial Experience
FINANCIAL SERVICES
• Actuarial
• BI COE support
• Campaign Performance & Reach Analysis
• Claims Reporting
• Compliance & Regulatory operations
• Custom BI for Business Forecasting, Benchmarking and Analysis
• Customer 360
• Customer Journey Analytics
• Hyper-segmented Product/Spend Tracking
• Marketing Analytics
• Portfolio Reporting
• Omni-channel Analysis
• Wallet Share Strategies
Financial Experience
Government Solutions
GOVERNMENT
• Balance of Trade Analytics
• Crime Analytics
• Customs Analytics
• Demographic Analysis
• Employment Generation Actuals & Scenarios
• Industrial Production & Utilization
• Public Sentiment Analysis
• Public Inclusion Actuals & Drivers
• Water Contamination Tracking and Analysis
Government Solutions
Insurance Solution
INSURANCE
• Actuarial
• Agent Productivity Optimization
• BI COE support
• Campaign Optimization
• Claims Driver Analysis
• Claims Reporting
• Customer 360
• Customer Risk Profiling
• Fraud Analytics
• Increase Customer Visibility
• Marketing Analytics
• Operational Analytics
• Portfolio Reporting
• Retention & Renewal drivers
Insurance Solution
Life science Solutions
LIFESCIENCES
• Business Performance Analytics
• Clinical Trials Enrolment Forecasting
• Clinical Trials Study Start Up Analytics
• Laboratory Cancellation Monitoring
• Operational Analytics for Clinical Trials
Life science Solutions