Data and Analytics Services
Helping enterprises in realizing the potential
Tinets transform data into information, information into insights, and insights into improved business results. We offer a wide range of Data and analytics services which enable organizations to turn their raw data into meaningful insights, leading to improved business decisions. Our Data and analytics services include consulting, system integration, managing data, conducting thorough analyses, and utilizing insights to enhance business processes and outcomes.
Data Analytics
Convert Your Data into Actionable Insights
As a data and analytics services provider, we assist you in developing data strategies finally that generate sustainable value in alignment with your business objectives. We are proficient in constructing comprehensive digital data ecosystems. Our focus includes master data management and cataloging, along with strong data science capabilities to fully leverage AI solutions. By concentrating on consumer behavior analytics, predictive analytics, and AI/ML-driven data research, we enable you to proactively respond to market changes.
Building Data Analytics Solutions for Different Domains
As a customized Data and analytics services company, Tinets helps businesses integrate, aggregate, and analyze various data types from multiple data sources to address their most ambitious needs at department and enterprise levels.
Analytics by Sector
Data and analytics have become a cornerstone for decision-making across industries, helping organizations unlock insights and drive growth. In healthcare, analytics improves patient outcomes through predictive modeling and efficient resource allocation. In finance, it enables fraud detection, risk assessment, and personalized customer solutions. Retail relies on analytics to understand consumer behavior, optimize inventory, and enhance customer experiences. Manufacturing uses data-driven insights to streamline production, reduce costs, and improve quality control. Similarly, in education, analytics supports personalized learning paths and performance tracking, while in government, it ensures better policy-making and citizen services. By applying sector-specific analytics, businesses and institutions can make smarter, faster, and more strategic decisions, gaining a competitive advantage in today’s data-driven world.
1. Health Sector
Patient health condition monitoring, condition-based alerting.
AI-powered patient treatment optimization.
Analytics for contract research organizations
Insights for informed study design (e.g., comparison of trial sites, historical trial analytics).
Trial progress monitoring (e.g., enrollment rates, patient disposition).
Medical lab analytics
Monitoring operational lab KPIs (e.g. turnaround time, cost per test, volume of unnecessary tests).
Predictive equipment maintenance.
2. Banking, Financial Services and Insurance
Banking analytics
Continuous monitoring of bank stability indicators.
Institution performance forecasts.
360-degree view of customers.
Fraud detection.
Automated compliance checks and non-compliance alerts.
AI-powered insurance recommendations tailored for certain customer segments.
Finance analytics with underwriting profitability monitoring and product-specific scenario modeling.
Providing insights into borrowers’ creditworthiness and predicting default and NPL risks.
Investment analytics
Portfolio performance analytics with asset-specific benchmarking.
Factor exposure, performance attribution, and risk attribution analysis.
4. Manufacturing analytics
Overall equipment effectiveness analysis and optimization.
Manufacturing process quality optimization.
Equipment maintenance scheduling.
Production loss root cause analysis.
5. Retail analytics
Retail business performance analysis, monitoring sales and profitability.
Demand analysis and forecasting.
IoT data analytics (data on cargo temperature, humidity, etc.; data on driver behavior, data on vehicle condition, etc.) for safe cargo delivery.
7. Professional services analytics
Multidimensional customer segmentation to enable automated customer-agent matching, effective ad targeting, and personalized services.
Analyzing customer sentiment and satisfaction for data-driven service improvement.
Continuous monitoring of energy generation and distribution with AI-powered optimization recommendations.
Oil & gas analytics
Exploration management analytics to identify optimal drilling locations and estimate oil and gas reserves.
Telecoms analytics
Continuous network performance monitoring and analytics to forecast excess capacity areas and optimize network capacity.
Education analytics
Analyzing students’ and parents’ feedback on the quality of teaching and the learning environment to improve the service.
Students’ performance analytics with alerts on potential intervention.
Insights into the patterns of learning platforms usage to enhance teaching and learning outcomes.
8. Travel and hospitality
Tracking and analyzing customer interactions, preferences, and feedback to optimize customer relationship management.
Operational analytics, including service quality and employee performance analysis.
9- Media & entertainment analytics
Multidimensional audience segmentation with granular comparisons, e.g., demographic breakdown vs. genre audience.
Audience engagement analytics with insights into cross-platform customer behavior and preferences.
Real-time personalized content recommendations.
10 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.
