Data Analytics Services
100+
Satisfied and Happy Clients we have Served all over the World.
What We Do
Building Data Analytics Solutions for Different Domains
Analytics for healthcare providers
- Patient health condition monitoring, condition-based alerting.
- AI-powered 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 shifts optimization.
- Optimization of clinical space and equipment usage.
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).
- Trial findings analytics, including pharmacology and medical device trial parameters, results comparison, pattern detection.
- Adverse events alerting and forecasting.
- Post-market surveillance and RWE analytics.
- Laboratory operations and inventory management optimization.
- Insights into trial supply management.
- Predictive analytics (e.g., for projected enrollments, study outcomes).
Medical lab analytics
- Monitoring operational lab KPIs (e.g. turnaround time, cost per test, volume of unnecessary tests).
- Predictive equipment maintenance.
- Inventory management optimization and demand forecasting.
- Quality control analytics.
- Automated test result interpretation.
- Clinical trial and R&D analytics.
Banking analytics
- Continuous monitoring of bank stability indicators.
- Institution performance forecasts.
- 360-degree view of customers.
- Identifying cross-selling and upselling opportunities.
- Insights into customer service management.
- What-if modeling for timely mitigation of market, credit, and operational risks.
- Fraud detection.
- Automated compliance checks and non-compliance alerts.
Insurance analytics
- AI-powered insurance recommendations tailored for certain customer segments.
- Finance analytics with underwriting profitability monitoring and product-specific scenario modeling.
- Monitoring insurance-related risks with stress testing.
- Operational analytics insights for improving claims processing, customer service, and other internal processes.
- Workforce analytics for agents’ performance assessment, sales incentive programs adjustment, and top talent retention.
- Insights into the performance of external agencies and partners.
- Predictive and prescriptive analytics for insurance planning and optimization.
Lending analytics
- Providing insights into borrowers’ creditworthiness and predicting default and NPL risks.
- Lending products performance analytics.
- AI-powered recommendations for loan portfolio optimization.
- Identifying bottlenecks in underwriting, loan approval, servicing, debt collection, and other operational processes.
- Continuous compliance monitoring and non-compliance alerting.
Investment analytics
- Portfolio performance analytics with asset-specific benchmarking.
- Factor exposure, performance attribution, and risk attribution analysis.
- Continuous monitoring of market, credit, and liquidity risks.
- What-if scenarios under various risk factors and portfolio rebalancing options.
- Identifying insider trading, pump and dump schemes, HFT manipulation, and other kinds of fraud.
- Insights into tax management.
- Continuous compliance monitoring and alerting.
Manufacturing analytics
- Overall equipment effectiveness analysis and optimization.
- Manufacturing process quality optimization.
- Equipment maintenance scheduling.
- Power consumption forecasting and optimization.
- Production loss root cause analysis.
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, vehicles 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.
Real estate analytics
- Providing insights into market trends and analyzing property values to support informed investment decisions.
- Automated buyer-seller matching and customer-specific property recommendations.
- Comprehensive portfolio management with expenses tracking and cash-flow forecasts.
- Calculating and monitoring rental, occupancy rates, and other property performance KPIs.
- Multidimensional customer segmentation with AI-powered suggestions on segment-specific targeting.
- Predictive analytics to forecast property value or identify property that is likely to be sold or bought in the near future.
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.
- Operational analytics to improve staff performance and process efficiency.
- Predictive analytics to forecast resource needs and optimize staff allocation.
- Financial analytics based on internal and external data to detect revenue leakage and improve business profitability.
Energy & utilities analytics
- Continuous monitoring of energy generation and distribution with AI-powered optimization recommendations.
- Analyzing renewable energy share in the energy grid.
- Predictive and preventive maintenance analytics.
- Analyzing energy consumption patterns to enable efficient resource allocation.
- Predictive analytics to forecast energy demand.
Oil & gas analytics
- Exploration management analytics to identify optimal drilling locations and estimate oil and gas reserves.
- Predictive analytics for estimated ultimate recovery and production rates forecasting.
- Equipment predictive and preventive maintenance.
- Environmental impact insights.
- Real-time monitoring of processes and assets (e.g., production, transportation, pipelines, storage tanks, pumping sections) with immediate alerting.
- Refinery optimization and quality control analytics.
- Insights into supply chain management.
Telecoms analytics
- Continuous network performance monitoring and analytics to forecast excess capacity areas and optimize network capacity.
- Providing insights into customer management to foresee and prevent churn, tailor offerings, and increase customer retention.
- Identifying operational bottlenecks and providing AI-powered optimization recommendations.
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.
- Enrollment forecasting for resource allocation optimization.
- Financial analytics with insights into grant revenue, endowment value, cash balance, wages, and more.
- Analyzing teachers’ performance and providing insights into top talent attraction and retention.
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.
- Providing real-time personalized recommendations on destinations, lodging options, events, etc.
- AI-powered pricing optimization based on market demand, individual customer preferences, and predicted price movements.
- Analyzing results of promotions, discounts, loyalty programs and their influence on business profitability.
- Forecasting demand to maximize revenue from hotel rooms, flights, and other related services.
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.
- Content performance analytics.
- Forecasting content demand and popularity, including box office success.
- Tracking the effectiveness of advertising and marketing campaigns with real-time targeting adjustment.
- Tracking compliance with regulatory standards, including those related to personal data handling.
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 risks 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.
HR analytics
- Employee/department performance monitoring and analysis.
- Employee experience and satisfaction analysis.
- Employee retention strategy optimization and management.
- Employee hiring strategy analysis and optimization.
- Labor cost analytics.
Data analytics consulting
devstudio360 consultants help you choose an optimal data analytics strategy and guide you on designing, developing, implementing and improving a proprietary data analytics solution.
Costs: $10K–$50K+
Data analytics implementation
We design and implement an analytics solution tailored to your operational needs and industry specifics. With a single point of truth, sexy reports, and role-dependent workflows, you get a reliable tool for making accurate data-driven decisions.
Costs: $30K–$1M+
Data analytics modernization
devstudio360 helps upgrade your existing data analytics solution. We can increase solution performance and accuracy, create new reports and visuals, add new features, migrate the system to other techs, optimize the TOC, enhance security, achieve regulatory compliance, and more.
Costs: $20K–$200K+
Industry Expertise
devstudio360 leverages an extensive knowledge base to come up with sector-specific solutions that meet challenges unique to the field in question.
Data management services
implements a robust data management framework to achieve efficiency and security in all data-related processes, including data collection, transmission, storage, access, analysis, and reporting.
Costs: $30K–$1M+
Data Analytics Services & Costs at devstudio360
devstudio360 provides flexible service options to satisfy any data analytics needs. Data analytics services costs may range from $10,000 to $1,000,000+, depending on the service type and the complexity of analytics requirements. The major cost factors include data quality and complexity, data processing specifics (batch or real-time), characteristics of existing infrastructure and data sources, the necessity for big data and ML/AI techs, and more.
From Basic Reporting to Advanced Analytics and Automation – You Can Get Anything with devstudio360
Data integration and data warehousing
A solution to securely consolidate your data into a database or a warehouse via case-specific methods, including ETL/ELT pipelines, data virtualization, and propagation. You get a data management framework and enterprise storage that satisfy your requirements for data quality, availability, security, analytics, reporting, and regulatory compliance.
Big data
You can get big data solutions for various use cases, including analytics systems that help drive insights from voluminous data of high velocity and solutions to automate business and production processes (e.g., financial fraud detection, remote patient monitoring, inventory optimization). You can also get an XaaS app that efficiently handles requests from thousands of users (e.g. ecommerce, ride-sharing, dating apps).
Business intelligence and data visualization
A system that supports data-driven decision-making through scheduled reports, ad hoc BI queries, natural language user interface, interactive dashboards, role-specific data views, and other features that facilitate the processes of exploring data and driving insights from it. You get pre-built and custom visuals that are clear and easy-to-read and illustrate data at both panoramic and granular angles.
Data science and AI
How You Benefit from devstudio360 as Your Analytics Partner
Time-saving automation
We set up automated data management and governance processes and implement self-service BI to ensure you can easily create ad hoc reports without any coding skills, and your IT team doesn’t have to manage data manually.
Reliable insights due to trustworthy data
We consolidate your disparate data sources into a DWH to serve as a single point of truth for enterprise-wide analytics. Our robust ETL processes will guarantee your data is always accurate, consistent, and complete to facilitate dependable analytics.
Easy-to-read reports
We use various data visualization techniques to highlight the most important analytics insights in each report and make them easy to scan at one glance.
Value-focused data analytics
As an expert analytics consultancy, we don’t simply build reports — our goal is to help you fully utilize the potential of your analytics solution and discover new optimization opportunities hidden in your data (e.g., for operational cost reduction, productivity improvements).
