Data Analytics

Unlock business potential with our Data Analytics Services, turning raw data into actionable insights for informed, strategic decisions and fostering growth through tailored solutions and advanced tools

Solutions for Different Domains

LogiGear assists businesses across 30+ industries in integrating, aggregating, and analyzing various data types from multiple sources to address their most critical needs at both departmental and enterprise levels

Manufacturing analytics

  • Operational capacity planning and optimization based on the analysis of incoming shipments, customer delivery schedules, vehicle availability, and personnel shift schedules
  • Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.)
  • Vehicle demand forecasting
  • Predicting optimal amounts of fuel needed based on the analysis of driving patterns
  • IoT data analytics (data on cargo temperature, humidity, etc.; data on driver behavior, data on vehicle condition, etc.) for safe cargo delivery

Healthcare analytics

  • Patient health condition monitoring, condition-based alerting
  • Patient treatment optimization
  • Assessment of patient risks and personalized care plan recommendations
  • Proactive care (defining trends and patterns in patient condition requiring a doctor’s attention)
  • Fraud detection in healthcare insurance
  • Medical staff workload prediction and work shift optimization
  • Optimization of clinical space and equipment usage

Retail analytics

  • Retail business performance analysis, monitoring sales and profitability
  • Demand analysis and forecasting
  • Multi-echelon inventory optimization
  • Assortment and merchandising planning and optimization
  • Data-driven recommendations on optimal product promotion activities

Transportation and logistics analytics

  • Operational capacity planning and optimization based on the analysis of incoming shipments, customer delivery schedules, vehicle availability, and personnel shift schedule
  • Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.)
  • Vehicle demand forecasting
  • Predicting optimal amounts of fuel needed based on the analysis of driving patterns.
  • IoT data analytics (data on cargo temperature, humidity, etc.; data on driver behavior, data on vehicle condition, etc.) for safe cargo delivery

Financial analytics

  • Monitoring revenue, expenses, and profitability of a company
  • Profitability analysis and financial performance management
  • Budget planning, formulating long-term business plans
  • Financial risk forecasting and management

Supply chain analytics​

  • Identifying demand drivers, consumer demand forecasting and planning
  • Supplier performance monitoring and evaluation
  • Predictive route optimization.
  • Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning, and management.
  • Identifying patterns and trends throughout the supply chain for enhanced supply chain risk management

Sales and product analytics

  • Sales channel analytics
  • Pricing analytics to design pricing strategies
  • Identifying and predicting sales trends
  • Conducting product performance analysis
  • Tracking customer interactions with a product to identify pain points leading to churn
  • Conducting competitor benchmarking

Customer analytics

  • Customer behavior analysis and predictive modeling
  • Customer segmentation for tailored sales and marketing campaigns
  • Personalized cross-selling and upselling offers for extended customer lifetime value
  • Predicting customer attrition and customer churn risk management
  • Customer sentiment analysis

Asset analytics

  • Real-time asset monitoring and tracking
  • Predictive and preventive maintenance, developing asset maintenance strategies
  • Planning asset investments
  • Asset usage analytics, planning and scheduling asset modernization / replacement / disposal strategies

Flexible Service Approaches

Analytics as a Service (AaaS)

Within a subscription fee, you carry out data analysis on a fully customized cloud analytics platform built and maintained by LogiGear

Managed Data Analysis

LogiGear’s data analysts collect and process your data to deliver quick one-time or recurrent analytics insights to you

Data Analytics Consulting

LogiGear’s consultants help you choose an optimal data analytics strategy and guide you on designing, developing, implementing and improving a proprietary data analytics solution

Data Analytics Implementation

We design and implement an analytics solution with basic functionality to address your current data analytics needs and scale up as they grow. Your data analytics solution may include elements such as data warehousing (DWH), OLAP cubes, data visualization, data science, and big data components

Data Analytics Modernization​

LogiGear helps upgrade the existing data analytics solution to achieve maximum ROI and meet the new data analytics needs

Data Management Services

LogiGear implements a robust data management framework to organize your processes of data collection, storage, access, security, and analysis. 

Our Process

Build the Models

Create models that can be used to predict future behavior or make decisions.
Ex: Linear/Logistic regression models, Clustering, K-NN etc

Evaluate the Models

Check the accuracy and performance of the model.
Methods:-FI Score, R(squared) score, MSE (mean squared error) etc 

Communicate the Results

Share your findings with stakeholders.
Ex: PowerBI/Tableau Dashboards

Tech Stack

Database

Cloud Environment

ELT Tool

Business Intelligence

What can LogiGear help you achieve?

You are in search of an effective digital solution that can enhance revenue growth and cost optimization. We can help you!
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