Data Analytics Services
Providing data analytics services, INNERLUXES relies on experience and mature project management practices. We build solutions ranging from built-in product analytics to large-scale enterprise platforms for smarter decisions and operations. With domain-focused business analysis, transparent pricing, and proactive risk mitigation, our clients get their projects delivered on time, on budget, and within the agreed scope.
Rana Kamran
Principal Architect, AI & Data Management Expert, INNERLUXES
Building Data Analytics Solutions for Different Domains
A data analytics company, INNERLUXES helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most ambitious needs at department and enterprise levels.
By industry
Healthcare
- Patient health condition monitoring and 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 that require a doctor’s attention.
- Fraud detection in healthcare insurance.
- Medical staff workload prediction and work shift optimization.
- Optimization of clinical space and equipment usage.
- Insights for informed study design (comparison of trial sites, historical trial analytics).
- Trial progress monitoring — enrollment rates, patient disposition.
- Trial findings analytics, results comparison, pattern detection.
- Adverse events alerting and forecasting.
- Post-market surveillance and real-world evidence analytics.
- Laboratory operations and inventory management optimization.
- Insights into trial supply management.
- Predictive analytics for projected enrollments and study outcomes.
- Monitoring operational lab KPIs (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.
Financial Services, Insurance, and Banking
- 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 for claims processing, customer service, and other internal processes.
- Workforce analytics for agent performance assessment and top talent retention.
- Insights into the performance of external agencies and partners.
- Predictive and prescriptive analytics for insurance planning and optimization.
- Insights into borrowers’ creditworthiness and prediction of default and NPL risks.
- Lending product performance analytics.
- AI-powered recommendations for loan portfolio optimization.
- Identifying bottlenecks in underwriting, loan approval, servicing, and debt collection.
- Continuous compliance monitoring and non-compliance alerting.
- 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, and other kinds of fraud.
- Insights into tax management.
- Continuous compliance monitoring and alerting.
- 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.
More Industries
- Overall equipment effectiveness analysis and optimization.
- Manufacturing process quality optimization.
- Equipment maintenance scheduling.
- Power consumption forecasting and optimization.
- Production loss root cause analysis.
- 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.
- Operational capacity planning based on incoming shipments, delivery schedules, vehicle availability, and personnel shifts.
- Predictive analytics for vehicle maintenance — failure prediction, recommended maintenance actions.
- Vehicle demand forecasting.
- Predicting optimal fuel amounts based on the analysis of driving patterns.
- IoT data analytics (cargo temperature and humidity, driver behavior, vehicle condition) for safe cargo delivery.
- Insights into market trends and property values to support informed investment decisions.
- Automated buyer-seller matching and customer-specific property recommendations.
- Portfolio management with expense 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 and likely sales.
- Multidimensional customer segmentation for automated customer-agent matching 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 to detect revenue leakage and improve business profitability.
- Continuous monitoring of energy generation and distribution with AI-powered optimization recommendations.
- Analyzing the 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.
- Exploration management analytics to identify optimal drilling locations and estimate reserves.
- Predictive analytics for estimated ultimate recovery and production rate forecasting.
- Equipment predictive and preventive maintenance.
- Environmental impact insights.
- Real-time monitoring of processes and assets (production, transportation, pipelines, storage tanks) with immediate alerting.
- Refinery optimization and quality control analytics.
- Insights into supply chain management.
- Continuous network performance monitoring to forecast excess capacity areas and optimize network capacity.
- Insights into customer management to foresee and prevent churn, tailor offerings, and increase retention.
- Identifying operational bottlenecks and providing AI-powered optimization recommendations.
- Analyzing student and parent feedback on teaching quality and the learning environment.
- Student performance analytics with alerts on potential intervention.
- Insights into learning platform usage patterns to enhance teaching and learning outcomes.
- Enrollment forecasting for resource allocation optimization.
- Financial analytics with insights into grant revenue, cash balance, wages, and more.
- Analyzing teacher performance and providing insights into talent attraction and retention.
- Tracking customer interactions, preferences, and feedback to optimize customer relationship management.
- Operational analytics, including service quality and employee performance analysis.
- Real-time personalized recommendations on destinations, lodging options, and events.
- AI-powered pricing optimization based on market demand and predicted price movements.
- Analyzing results of promotions, discounts, and loyalty programs.
- Forecasting demand to maximize revenue from hotel rooms, flights, and related services.
- Multidimensional audience segmentation with granular comparisons.
- Audience engagement analytics with insights into cross-platform behavior and preferences.
- Real-time personalized content recommendations.
- Content performance analytics.
- Forecasting content demand and popularity.
- Tracking the effectiveness of advertising and marketing campaigns with real-time targeting adjustment.
- Tracking compliance with regulatory standards, including personal data handling.
By analytics area
- Monitoring revenue, expenses, and profitability of a company.
- Profitability analysis and financial performance management.
- Budget planning and formulating long-term business plans.
- Financial risk forecasting and management.
- Identifying demand drivers, consumer demand forecasting and planning.
- Supplier performance monitoring and evaluation.
- Predictive route optimization.
- Determining the optimal level of inventory to meet demand and prevent stockouts.
- Identifying patterns and trends throughout the supply chain for enhanced risk management.
- 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 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 churn risk management.
- Customer sentiment analysis.
- Real-time asset monitoring and tracking.
- Predictive and preventive maintenance, developing asset maintenance strategies.
- Planning asset investments.
- Asset usage analytics, planning asset modernization, replacement, and disposal strategies.
- Employee and 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.
An Example of INNERLUXES Turning Information Overload into Actionable Insights
Here’s how INNERLUXES helped a leading market research company move off a legacy analytical system onto a big-data platform — ingesting more than 1,000 raw data types, cross-analyzing nearly 30,000 attributes, and running some queries up to 100 times faster.
Ready to Discuss Specifics?
About INNERLUXES
- in data analytics and data science.
- 132+ professionals on board, with more than 50% senior and lead specialists.
- 68 projects delivered across 30+ industries.
- Competencies in business intelligence, data warehousing, and big data.
- Competencies in machine learning, artificial intelligence, and image analysis.
- In-house PMO to support large-scale and distributed projects. Expertise in Lean, Agile, and DevOps methodologies.
- ISO 9001 and ISO/IEC 27001 to assure the quality of our data analytics services and the security of client data.
Our Data Analytics Portfolio
Data Analytics Services & Costs at INNERLUXES
INNERLUXES provides flexible service options to satisfy any data analytics need. Costs may range from $4,000 to $400,000+, 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 the existing infrastructure and data sources, the need for big data and ML/AI technologies, and more.
Our consultants help you choose an optimal data analytics strategy and guide you on designing, developing, implementing, and improving a proprietary data analytics solution.
Costs: $4K–$20K+
Data analytics implementation
We design and implement an analytics solution tailored to your operational needs and industry specifics. With a single source of truth, clear reports, and role-dependent workflows, you get a reliable tool for accurate data-driven decisions. We also provide hands-on training for your team.
Costs: $12K–$0.4M+
Data analytics modernization
We upgrade your existing data analytics solution — increase performance and accuracy, create new reports and visuals, add features, migrate to better technologies, optimize TCO, enhance security, and achieve regulatory compliance.
Costs: $8K–$80K+
We implement 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: $12K–$0.4M+
How We Ensure Smooth Sailing of Our Projects
With in analytics services and established project management practices, we drive project goals regardless of time and budget constraints as well as changing requirements.
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We rely on our quality management system throughout the project life cycle. |
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We foster cooperation, trust, and respect to achieve effective teamwork. |
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Being ISO/IEC 27001, we guarantee that we collect and store your business data securely. |
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We maintain and update accurate project documentation to support future software evolution. |
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We ensure full transparency of project progress with custom KPIs, tailored reporting procedures, and efficient task-tracking systems. |
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Having worked with 30+ industries, we speak your language and understand your domain’s unique challenges and needs. |
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To ensure high user adoption and smooth knowledge transfer, we are ready to conduct user training for your team. |
From Basic Reporting to Advanced Analytics and Automation — You Can Get Anything with INNERLUXES
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.
You can get big data solutions for various use cases, including analytics systems that drive insights from voluminous data of high velocity and solutions to automate business and production processes (financial fraud detection, remote patient monitoring, inventory optimization). You can also get an XaaS app that efficiently handles requests from thousands of users.
A system that supports data-driven decision-making through scheduled reports, ad hoc BI queries, a natural language user interface, interactive dashboards, role-specific data views, and other features that make exploring data easy. You get pre-built and custom visuals that illustrate data at both panoramic and granular angles.
Data science and AI
Depending on your needs, you can get an AI-powered solution driven by open-source or licensed AI models, or a system that requires proprietary ML/AI model creation. Our portfolio includes custom trading algorithms, healthcare analytics platforms, and intelligent document data capture.
How You Benefit from INNERLUXES as Your Analytics Partner
Time-saving automation
We set up automated data management and governance processes and implement self-service BI, so you can create ad hoc reports without coding skills and your IT team never has to manage data manually.
Easy-to-read reports
We use various data visualization techniques to highlight the most important insights in each report and make them easy to scan at a glance.
Reliable insights due to trustworthy data
We consolidate your disparate data sources into a data warehouse that serves as a single source of truth for enterprise-wide analytics. Robust ETL processes guarantee your data is always accurate, consistent, and complete.
Value-focused data analytics
We don’t simply build reports — our goal is to help you fully use the potential of your analytics solution and discover new optimization opportunities hidden in your data, from operational cost reduction to productivity improvements.
Latest Data Analytics Insights
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Best software to build a data warehouse in the cloud: features, benefits, costs
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Business intelligence implementation: plan, software, costs, and required skills
How to approach business intelligence implementation in your company: plan, tools, costs, and the skills needed to build an effective BI and analytics solution.
Real-time data warehouse: architecture, use cases, and key techs
Our data engineers describe the architecture of a real-time data warehouse, outline its key components and use cases, and list the most reliable technologies.
Our Insights
Let’s discuss your needs
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