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.

Data Analytics Services - ScienceSoft
Data Analytics Services - ScienceSoft

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 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.
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  • 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.
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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.
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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.
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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.
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  • 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.
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  • 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.
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  • 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.
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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.

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Managed data analysis

ScienceSoft’s data analysts collect and process your data to deliver quick one-time or recurrent analytics insights to you.

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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.

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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.

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Data analytics modernization

ScienceSoft helps upgrade the existing data analytics solution to achieve maximum ROI and meet the new data analytics needs.

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Data management services

ScienceSoft implements a robust data management framework to organize your processes of data collection, storage, access, security, analysis, etc.

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About ScienceSoft

  • 34 years in data analytics and data science.
  • 18 years in business intelligence and data warehouse services.
  • 10 years in big data.
  • years in Microsoft Power BI services.

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.

Our 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.
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Big data

  • Big data infrastructure setup and support.
  • Big data quality and security management.
  • Big data capture, analysis and reporting.
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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.
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Business intelligence

  • Business intelligence and data analytics infrastructure design and implementation.
  • Ad hoc and scheduled analytics querying and reporting.
  • Natural language user interface.
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Artificial intelligence

  • Data gathering and cleansing for ML model training.
  • ML modeling.
  • Development of software modules that will use ML output.
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Data visualization

  • Interactive dashboarding.
  • Custom and pre-built visuals.
  • Multiple visualization techniques (symbol maps, line charts, bar charts, pie charts, etc.)
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Our Data Analytics Portfolio

Airline Market Data Analysis

Airline Market Data Analysis

  • A data warehouse deployed in ScienceSoft’s data center.
  • A 10-dimension OLAP cube to analyze the 10-year history of external data.
  • Web-based reporting with self-service capabilities.
Advertising Channel Analytics Solution

Advertising Channel Analytics Solution

  • A big data warehousing solution to process 1,000+ raw data types.
  • A 5-module analytics system for advertising channel analysis in 10+ countries.
  • Up to 100 times faster analytical query processing.
Data Analytics Solution for 500+ Nursing Homes

Data Analytics Solution for 500+ Nursing Homes

  • An on-premises data warehouse and a 4-dimensional analytical cube for transparent analytics and reporting.
  • Role-based data access.
Customer Data Analytics Solution

Customer Data Analytics Solution

  • A big data management platform to aggregate data from 10+ sources.
  • 30-dimension ROLAP cubes for regular and ad-hoc reporting to enable user engagement assessment, user behavior trend identification, user behavior forecasting.
Advanced Sales Analytics Solution

Advanced Sales Analytics Solution

  • A data warehouse and analytics engine for data processing and analysis.
  • Web-based user interface with self-service capabilities to identify sales trends, estimate growth potential, spot best/worst performers.
Analytics Solution for Customer and Retail Analysis

Customer and Retail Analytics Solution

  • Data hub and data warehouse to integrate data from 15 data sources.
  • An analytical server with 5 OLAP cubes and 90+ reports to analyze customers’ behavior, track the stock level in real time, assess employee performance.
Development of a Data Warehouse and an Analytics Solution for Asset Management and Financial Analysis

Analytics Solution for the Automotive Industry

  • An ETL-based data warehouse with a staging area and data marts.
  • OLAP cubes and 40+ customizable reports and dashboards to track KPIs, assign tasks and goals, collaborate and share information.

Our Customers Say

Our Latest Data Analytics Insights

How to build a data warehouse from scratch: approaches, plan, software, and costs

ScienceSoft shares experience on efficient construction of a data warehouse (DWH): approaches, plan, skills required, software we recommend, and DWH development costs.

Data warehouse software: 5 best data warehousing tools

Get a structured overview of data warehouse software: key features of a DWH system and a list of our proven tools to build a DWH solution.

Best software to build a data warehouse in the cloud: features, benefits, costs

ScienceSoft’s cloud data warehouse consultants present the list of 6 cloud-based data warehouse platforms that cover 99.9% use cases in data warehousing.

Business Intelligence implementation: plan, software, costs, and required skills

ScienceSoft advises on business intelligence implementation in your company: plan, tools, costs, skills for building an effective BI and analytics solution.

Real-time data warehouse: architecture, use cases, and key techs

ScienceSoft’s data engineers describe the architecture of a real-time data warehouse, outline its key components and use cases, and list the most reliable techs.

All about Data Analytics