G7 CR is a trusted partner in elevating businesses through its Reporting Analytics and AI/ML services. Leveraging advanced analytics and machine learning algorithms, G7 CR empowers clients to extract meaningful insights from their data, enabling informed decision-making. With a focus on precision and innovation, G7 CR’s services enhance reporting capabilities for sustainable business growth.
Why G7 CR?
With G7 CR Technologies, your business can entrust cloud and software development needs with a delivery speed 10x faster than that of major consulting firms.
G7 CR does not just rely on hiring talent, but instead, focuses on creating and nurturing a team of professionals who can deliver niche technology services with speed and quality.
With this approach, G7 CR is able to empower enterprise businesses to leverage the power of Cloud and emerging software technologies, helping them boost their revenue, reach, and productivity.
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Countries Preferred Delivery
G7 CR approach
Innovation begins with a plan
Prepare data
- Business entities driven Unification across heterogeneous data sources
- AI/ML ready data lake at Scale
- Secured, Reliable and Access controlled
- “Free Flow” Vertical search around business entities
Build and train
- Dynamically create Business ontologies with external knowledge source as well as with internal knowledge source at ease
- Automatic discovery of linkages around business entities
- Enriched data training to derive unprecedented business results
Deploy
- Deploy Data models.
- Hyper Scale execution engine for analytics requirements.
- Track performance
- Re-train and configure continuous improvement process
Industry Specific Solution accelerators with Azure analytical services
FSI
- Modern Risk Management
- Design patterns for real-time insights
- Hyper-Personalization accelerator using credit card transactions
- Identity fraud with geospatial analytics and AI
Manufacturing
- Demand forecasting with causals
- Time-Series Forecasting
- Safety Stock Analysis
- Predictive Maintenance
Healthcare
- Segmentation in the Age of Personalization
- Digital Pathology Automation
- Disease Prediction
- Oncology Real-World Data Extraction
- Real-World Evidence(RWE)
Retail and Customer Goods
- Demand Forecasting
- Time-Series Forecasting
- Safety Stock Analysis
- Improving On-Shelf Availability
- Personalizing the Customer Experience
- Segmentation in the Age of Personalization
Media and Entertainment
- Subscriber Churn Prediction
- A Quality of Service(QoS) Video Streaming
- Advertising Effectiveness with Sales Forecasting and Attribution
AI/ML use cases
Fintech
- KYC Docs Automation
- Risk/Compliance-Intelligent Search
- Fraud Detection
- Churn Prediction
- Credit Scoring/Risk (going beyond txn and demographic-adding social, network etc)
- Customer Lifetime Value
- Next best offer
- Intelligent Underwriting
EdTech
- Content Translation
- Skills Assessments
- Personalized/Adaptive Learning Paths
- Educational Certificates Automation/Verification
AgriTech
- Crop Health
- Yield Forecasting
- Yield improvement
- Recommender – What to Grow
- Smart Water Management
M&E
- Subtitles/Transcriptions
- Content Translation
- Action/Scene Detection
- Content Search – Audio/Video
- Fake Content Detection
- Content Recommendations
- Profanity Detection
Others
- Product Recommendations
- Demand Forecasting
- Inventory Optimization
- Route Optimization (Logistics, Field Service)
Horizontals
- Call Center Automation/Analytics (IVR Bot, Customer Sentiment, Agent Compliance)
- Document Automation – Invoice, PO, KYC Docs, Contracts, Equipment/Process Manuals
- Knowledge Mining on unstructured data
- Safety and Surveillance
- Social Listening/Customer Complaint Management & Classification
Predictive Analysis
G7 CR Technologies revolutionized a leading Airlines’ operations through advanced data warehousing, data science, and analytical services. Our tailored solutions not only address challenges but also empower the Airlines with actionable insights, enabling strategic decision-making and fostering efficiency in a data-driven environment.
Challenges
Mixed Data Sources The data sources reside in distributed rater broken data sources
Insufficient Data Points The older analytic systems had insufficient data points required for a well business decisions
Time The details captured and processed did not reach the decision-makers in time
Our Solution Approach
Data Warehousing
- Built a robust Datawarehouse lake to accumulate data from multiple sources
- Designed and Implemented ETL solution (SSIS) for data cleansing, subscribing and presenting in the required form
Data Science
- Build a robust Algorithm to predict crucial Business data points
(Example – No. of passengers who are likely to board the next flight). The initial test displayed up to 75% accuracy
Reporting and Taking Actions
- Built Power BI dashboard to present Business Critical information to the relevant decision maker for a well-informed and just-in-time action
- Integrated with learning engine for future actions
RoadMap
Continuous training process for higher accuracy
Customer Emotion Analysis, Capturing data points for Customer sentiment analysis
Automation Creating personalized experience for Customers.
Predictive Analysis
The customer is one of the oldest and most important Ministries of the Government of India that protects and safeguard the interests of workers in general and those who constitute the poor, deprived, and disadvantaged sections of society.
Challenges
The customer has 80 million unorganized worker data and had to verify the worker data with other systems like NPCI to validate if their bank account info was available & ESI system to know their latest employment status.
Our Solution Approach
Solution Assessment
- Carried out Analytics assessment, discerning key business requirements, building solution design on Azure, detailed architecture and TCO for the system
Deploy
- Implemented, Datawarehouse & Analytical system on Microsoft Azure(Pipeline, Data Lake & Synapse for data processing, Power BI for reporting
Enhance
- The customer now had to share this data with 3rd party agencies to process scheme benefits; G7 CR developed a Cloud Native application to share data via APIs & download (AKS, Elastic Search & Cosmos DB)
RoadMap
The customer is able to process the data of 10 million users and expose the data to authorized third-party agencies to process Government schemes within 24 hours
Challenges with traditional methodologies
Challenges with Traditional Methods call for Innovation
Traditional Data ware house are broken very brittle and expensive.
Data Lakes lack in providing what data is available and what it means to Business Users
Need expensive resources to stitch information across Organization and derive value quickly
Data Governance & Data Security is complex
Hear from our customers
Knolskape
Knolskape moves to Kubernetes – Micro services architecture on Microsoft Azure with G7 CR
Subex
World’s leader in Telecom Analytics Solutions Trusts
G7 CR as their “Technology partner”.
Who are Our Top Customers
More analytics solutions lead to more silos
Data
- Structured
- Unstructured
- Streaming
- Big data
- Cloud
- On-premises
- IoT/edge
Technologies
- Map Reduce
- Open-source projects
- Data mart
- Data warehouse
- Data lake
- Spreadsheets
- RDMS
- Data visualization tools
- ML models
- AI services
Skills
- SQL
- Python
- Java
- R
- Industry Schemas
- Data modeling
- Data cleaning
- Data integrations