Data Analytics Services
Even the Most Voluminous and High-Velocity Data Will Be Organized
Data analytics implies building an infrastructure for data aggregation, analysis, and reporting. 34 years in data analytics services, ScienceSoft delivers tailored business analytics solutions and helps companies plan future actions based on historical insights.
Building Data Analytics Solutions for Different Domains
A data analytics company, ScienceSoft 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.
- Overall equipment effectiveness analysis and optimization.
- Manufacturing process quality optimization.
- Equipment maintenance scheduling.
- Power consumption forecasting and optimization.
- Production loss root cause analysis.
- 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 shifts optimization.
- Optimization of clinical space and equipment usage.
- 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.
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.
- 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 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.
Ready to Discuss Specifics?
About ScienceSoft
- 34 years in data analytics and data science.
- 18 years in business intelligence and data warehouse services.
- 10 years in big data.
- 7 years in Microsoft Power BI services.
- Competencies in machine learning, artificial intelligence, data science, and image analysis.
- ISO 9001 and ISO 27001-certified to assure the quality of the data analysis services and the security of the customers' data.
How You Benefit from ScienceSoft 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.
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.
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.
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).
Our Data Analytics Portfolio
How We Ensure Smooth Sailing of Our Projects
With over three decades of experience in analytics services, we have established mature processes to guarantee that we always deliver on our promises.
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We utilize our ISO 9001-certified quality management system throughout the project life cycle. |
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We assess project risks in advance to provide realistic time & budget estimations. |
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We foster cooperation, trust, and respect to achieve effective teamwork. |
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Being ISO 27001-certified, 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 the help of tailored KPIs, frequent reporting, and efficient task-tracking systems. |
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Having worked with 30+ diverse 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. |
The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023
For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.

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 ScienceSoft.
Managed data analysis
ScienceSoft’s data analysts collect and process your data to deliver quick one-time or recurrent analytics insights to you.
Data analytics consulting
ScienceSoft’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 the basic functionality to address your current data analytics needs and scale up as they grow. Your data analytics solution may include such elements as DWH, OLAP cubes, data visualization, data science, big data components etc.
Data analytics modernization
ScienceSoft helps upgrade the existing data analytics solution to achieve maximum ROI and meet the new data analytics needs.
Data management services
ScienceSoft implements a robust data management framework to organize your processes of data collection, storage, access, security, analysis, etc.
ScienceSoft's Solutions – from Automation to Advanced Data Analytics
Data integration and data warehousing
- Extract, transform, load (ETL) or extract, load, transform (ELT) design and implementation.
- Data governance (data security, quality, availability, etc.) implementation.
- Data warehouse and data marts design and implementation.
Big data
- Big data infrastructure setup and support.
- Big data quality and security management.
- Big data capture, analysis and reporting.
Data science
- Data preparation and management.
- Development and tuning of machine learning (ML) (including deep learning) models.
- Development and tuning of data mining models.
- Designing and implanting AI solutions.
- Image analysis software development.
Business intelligence
- Business intelligence and data analytics infrastructure design and implementation.
- Ad hoc and scheduled analytics querying and reporting.
- Natural language user interface.
Artificial intelligence
- Data gathering and cleansing for ML model training.
- ML modeling.
- Development of software modules that will use ML output.
Data visualization
- Interactive dashboarding.
- Custom and pre-built visuals.
- Multiple visualization techniques (symbol maps, line charts, bar charts, pie charts, etc.)
Latest Data Analytics Insights
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