Data analytics covers a broad set of techniques used to structure and mine raw data. ScienceSoft creates advanced data architectures, implements data solutions and renders managed data analytics services for businesses with different levels of data maturity.
Data Types We Work With
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 deliberate needs at department and enterprise levels.
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.
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.
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.
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.
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.
Transportation and logistics
- 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.
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.
Healthcare analytics
- Patient health condition monitoring, condition-based alerting.
- Patient treatment optimization.
- 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.
Data Analytics Services
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 Britapp.
Managed data analysis
Britapp’s data analysts collect and process your data to deliver quick one-time or recurrent analytics insights to you.
Data analytics consulting
Britapp’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
Britapp helps upgrade the existing data analytics solution to achieve maximum ROI and meet the new data analytics needs.
Data management services
Britapp implements a robust data management framework to organize your processes of data collection, storage, access, security, analysis, etc.
Data Analytics Solutions
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 artificial intelligence (AI) solutions.
- Image analysis software development.
Self-service BI
- Business intelligence and data analytics infrastructure design and implementation.
- Ad hoc and scheduled analytics querying and reporting.
- Natural language user interface.
Data visualization
- Interactive dashboarding.
- Custom and pre-built visuals.
- Multiple visualization techniques (symbol maps, line charts, bar charts, pie charts, etc.)