Business Intelligence and Business Analytics Services
Business intelligence (BI) services help enable structured data-driven decision-making across the company. An experienced provider of BI solutions, ScienceSoft integrates multi-source data and applies analytics techniques to automatically extract insights from the input records.
BI consulting
BI advisory services to guide you through the BI implementation or optimization process.
- Reviewing the existing data management practices.
- Elaborating on the BI implementation or improvement roadmap.
- BI solution conceptualization, architecture design and tech selection.
- Data governance setup.
- Supervision of BI solution cloud migration.
- User adoption strategy, etc.
BI implementation
ScienceSoft delivers a full-scale BI solution tailored to your business needs by:
- Conducting BI needs analysis.
- Conceptualizing the BI solution and designing its architecture.
- Setting up data governance (data quality management, data security, master and metadata management, etc.)
- Developing the BI solution components (a data lake, DWH, OLAP cubes, reports and dashboards).
- Adding data science capabilities, if necessary.
- BI solution quality assurance.
- Data migration, if necessary.
- User training.
- BI solution support and evolution.
BI as a service
ScienceSoft provides a fully configured BI platform backed up by AWS and Azure for in-cloud business analysis on a subscription fee basis:
- Infrastructure deployment and management by ScienceSoft.
- Fast access to intelligence insights (first reports and dashboards are available within 1-5 days).
- Predictable consumption-based pricing.
BI support and evolution
ScienceSof helps businesses meet the newly arisen BI needs and optimize BI costs and performance by offering:
- Development support.
- Troubleshooting on the code level (e.g., rewriting a faulty ETL process).
- Evolution (adding new data sources, creating new reports, etc.).
- Administration support (updating software, adding new users, handling permissions, administering data).
- Power BI support services.
Sample BI Architecture
Components of a Business Analytics Solution We Build
ETL\ELT processes
Extracting data from diverse data sources, transforming it into a predefined format and loading it into a storage destination.
Data lake
Storing any type of data, including big data.
Data warehouse
Centralized storing of structured data for reporting and analysis.
OLAP cubes
Structuring data in a multidimensional format for rapid self-service data analysis.
Data reporting and visualization
Making analytics results digestible with immersive reports and interactive dashboards.
Data quality management
Identifying and eliminating data anomalies via data profiling, cleansing, validation, etc.
Data security
Ensuring data is stored, transformed and exploited in a secure way.
Data science
Advanced analytics with data mining, big data analysis, machine learning and artificial intelligence.
How We Visualize BI Dashboards
Symbol map |
Line chart |
Bar chart |
Pie chart |
Heat map |
Funnel chart |
Connectivity chart |
Scatterplot |
Sparkline |
Matrix |
Pivot table, etc. |
|
BI Framework by ScienceSoft
ScienceSoft has developed a proprietary BI framework, which we use in our projects to ensure that the delivered BI solutions cover all the functions a comprehensive BI solution should perform.
1
Planning
- Trend analysis – identifying opportunities for a company’s business growth and challenges it is likely to face.
- Forecasting and what-if scenario modeling – anticipating trends and outlining scenarios that guarantee success.
- Plan analysis – looking for mismatches, bottlenecks or underutilized capacity in strategic and tactical planning, etc.
2
Plan execution and performance monitoring
- Performance assessment – measuring business performance with relevant internal and external benchmarks.
- Plan/actual comparison – comparing planned vs. actual performance to find deviations.
- Root cause analysis – finding reasons for lower than planned performance.
3
Decision-making
- Getting a comprehensive view of all corporate data with the slice-and-dice capability to examine data from different viewpoints (e.g., by time, organizational units, product categories, customer segments).
- Highlighting growth opportunities and potential risks.
- Drilling down and conducting correlation analysis to establish the cause-effect relationship between variables.
- Conducting change impact analysis.
4
Optimization
Optimizing internal processes or operations by employing business analytics insights.
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.

Enterprise intelligence
- Company-wide data consolidation and storage.
- Company’s performance monitoring and analysis.
- Strategic and operational planning.
Operational intelligence
- Operational process monitoring and analysis.
- Recognizing bottlenecks in operational processes.
- Operational performance prediction and forecasting.
Customer intelligence
- Creating a 360-degree customer view.
- Customer behavior analytics and customer modeling.
- Customer relationship management (personalized marketing, cross-selling and upselling, customer churn management, etc.).
Financial intelligence
- Keeping track of a company’s revenue, expenses and profitability.
- Financial performance analysis.
- Financial planning and budgeting.
- Financial risk forecasting.
Brand and product intelligence
- Product/service performance analysis.
- Product/service portfolio optimization.
- Brand awareness analysis.
- Competitor benchmarking.
Supply chain intelligence
- Supply chain visibility and analysis.
- Identification of demand drivers, demand planning and forecasting.
- Supply chain risks management.
- Supply chain cost modeling and optimization.
Transportation and logistics
- Operational capacity planning and optimization.
- Static and dynamic route optimization and planning.
- Data-driven fuel consumption estimation.
Production intelligence
- Production process analysis and optimization.
- Overall equipment effectiveness monitoring and analysis.
- Equipment predictive maintenance.
Enterprise asset intelligence
- Enterprise asset usage analytics.
- Enterprise asset life cycle management.
- Enterprise asset investment planning.
HR
- Employee performance monitoring and analysis.
- Workforce planning.
- Employee churn prediction and management.
- Employee recruiting analysis.
- Customer behavior analytics and segmentation.
- Sales and marketing performance analytics.
- Intelligent demand forecasting and dynamic price optimization.
- Multi-echelon inventory optimization
Technologies ScienceSoft Works With
Data integration
We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.
Cloud data storage
We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.
We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.
Data warehouse technologies
Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.
We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.
ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.
Data visualization
Practice
7 years
ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.
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