GGRX

A Revolutionary New Blockchain
Enabled Carbon Currency Platform

Services

  • Better Data.
  • Better Decisions.
  • Better Results.
Grow your business with our spectrum of services designed to help the new-age market leaders.

GGRX enables business leaders to become truly data-driven by enabling enterprises to improve operational efficiencies, increase production accuracies, and make informed business decisions by leveraging the latest Data, AI/ML and blockchain technologies.

Simply put, we offer the analytics advantage to business leaders like you who dare to disrupt. We specialize in implementing end-to-end analytic solutions that are beyond the buzzwords; our mission is grounded in making a genuine impact.

Why Do Businesses Need Data Analytics?
Better Decision-Making Data analytics can help organizations get valuable insights into customer behavior, market trends, and business operations. Companies can use the right analytical tools and data to derive patterns in current market trends. These data patterns and predictive analytics can generate actionable insights, providing the stakeholders with concrete information to make data-driven decisions.
Improved Customer Insights Customers are the lifeblood of all for-profit organizations. With data analytics, you will get a better understanding of customer data, including their needs and preferences. Your company can use this information to customize its products, marketing tactics, and even sales operations to meet customer expectations. This will improve your target audience’s satisfaction rate and brand loyalty.
Enhanced Productivity and Efficiency Data analytics can help you analyze enterprise data to unravel and understand the issues of your business operations. This data will allow you to mend those issues and increase operational efficiency and productivity, helping the business save both money and time.
Efficient Risk Management With the right tools, data, and metrics, businesses can identify potential risks that might become big obstacles in their path to success.
Develop Better Business Strategies Every business needs a solid strategy to operate and thrive in this cut-throat financial market. You need to make your operations efficient, have a good grasp of customer data, analyze your competitors, and create optimized sales and marketing models. Data analytics will help you process relevant data and create fact-based insights that will help you create a concrete business strategy. We will help you meet customer expectations, compete with rival companies, make operations efficient, increase sales, and save money.

Since our inception, we’ve been dedicated to helping clients derive meaningful business insights, driving growth through a thoughtful and sustainable approach to data analytics, AI/ML and blockchain.

What We Do

Data Collection and Integration
  • Collect real-time data from provided files and/or consume APIs from various management systems
  • Data Integration Platforms
    • ETL Processes: Implement Extract, Transform, Load (ETL) data pipeline to consolidate data from disparate sources.
    • Data Lakes/Warehouses: Store integrated data in scalable storage solutions for easy access and processing.
  • Transform
    • Automated Data Mapping: Map and align data from different sources to common data model
Data Preprocessing and Cleaning
  • Data Quality Assurance
    • Anomaly Detection: Identify and flag irregular data points.
  • Automated Cleaning Pipelines
    • Intelligent Data Imputation: Apply statistical and machine learning methods to impute missing values based on historical patterns and associations.
  • Data Transformation
    • IntelligentNormalization and Scaling: Standardize data for consistent analysis.
Energy Analytics
  • Energy Tracking
    • Define and select period of interest (POI) and historical baseline period
    • POI from energy improvement project or detected from change in energy use monitoring
  • Energy Analytics
    • Apply statistical analysis and machine learning to compare POI and baseline periods
    • For POI versus baseline apply International Performance Measurement and Verification Protocol (IPMVP) analysis options A) Key Parameter Measurement, B) All Parameter Measurement, C) Whole Facility Measurement, D) Calibrated Simulation Analyze
    • For options B, C, or D use relevant attributes (e.g., weather, temperature, loads, operating times) in machine learning models for increased sensitivity
    • Decision Support Systems: Provide data-driven recommendations to facilities managers for informed decision-making.
Predictive Analytics and Forecasting
  • Energy Demand Forecasting
    • Short-Term Predictions: Forecast hourly or daily energy needs.
    • Long-Term Trends: Predict annual or multi-year energy consumption patterns.
  • Emission Projections
    • Scenario Analysis: Model different scenarios to understand future emission trajectories.
  • Scenario Simulation
    • Use AI to simulate various operational changes and their impact on future energy use and emissions
Optimization and Decision Support
  • Energy Optimization
    • Automated Control Systems: Adjust HVAC, lighting, and other systems for optimal energy use.
  • Resource Allocation
    • Maintenance Scheduling: Optimize maintenance activities to enhance energy efficiency and reduce downtime
  • Project Prioritization
    • Identify high-impact areas
  • Facility Benchmarking
    • Peer group analysis
Reporting and Visualization
  • Reporting
    • Standardized Reports: Generate reports to results between POI and baseline periods.
    • Custom Reports: Allow customization based on specific stakeholder requirements.
  • Interactive Visualizations
    • Dashboards: Reports will include presentations in intuitive formats for easy interpretation.
    • Visualize energy usage across operating sectors and facilities. Report comments linked and supported with analytics and charts
    • Custom Visualizations: Allow custom visualizations based on user preferences and data context.
Verification and Compliance
  • Data Verification
    • Compare reported data with independent data sources for accuracy.
    • Audit Trails: Maintain detailed logs of data changes and access for accountability.
  • Compliance Monitoring
    • Regulatory Adherence: Ensure all data and reports meet relevant standards and regulations.
    • Certification Support: Facilitate processes for obtaining energy efficiency and carbon emission certifications.
  • Automated Auditing
    • Implement AI systems to continuously verify data integrity and compliance.
Security and Privacy Management
  • Data Security
    • Access Controls: Ensure only authorized personnel can access data.
    • Encryption: Protect data both in transit and at rest.
  • Privacy Compliance
    • Data Anonymization: Remove personally identifiable information where necessary.
    • Regulatory Compliance: Adhere to data protection regulations (e.g., GDPR).
Continuous Improvement and Learning
  • Feedback Loops
    • Performance Monitoring: Continuously assess the effectiveness of analytics.
    • Adaptive Systems: Update models and strategies based on new data and insights.
  • Knowledge Management
    • Documentation: Maintain records of models, and findings.
    • Collaborative Platforms: Enable knowledge sharing among stakeholders.
    • Organize knowledge for future AI and generative AI integration
Our SolutionReferences
Loading...