Business Intelligence Consulting Services
Business Intelligence (BI) consulting services help set up the process of data aggregation and parsing to inform management decisions. Since 2005, ScienceSoft helps businesses implement intuitive end-to-end BI solutions and secure continuous BI support.
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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.

- 360-degree company view via integration and analysis of resource, process, financial, customer, marketing, sales, etc., data.
- Company’s performance analytics.
- Strategic corporate planning.
- Prediction and forecasting (financial forecasting, demand forecasting, etc.)
- Business processes monitoring and analysis.
- Detection of deviations and undesirable patterns.
- Cause-effect analysis, bottleneck recognition.
- Operational performance prediction and forecasting.
Financial intelligence
- Continuous visibility into corporate financial performance.
- Tracking a company’s revenue, expenses and profitability.
- Financial planning and budgeting.
- Financial risk forecasting and management.
- Customer segmentation and customer behavior analytics.
- Customer value analytics.
- Customer satisfaction analysis.
- Customer behavior predictive modeling, churn risk management.
Brand and product intelligence
- Product/service profitability analysis and portfolio optimization.
- Analysis of marketing campaigns and loyalty programs efficiency.
- Brand portfolio and brand awareness analysis.
- Competitor benchmarking.
Human resources intelligence
- Employee/department performance analysis.
- Employee experience and satisfaction analysis.
- Identification of the employee retention strategy effectiveness.
- Employee hiring strategy analysis and optimization.
Manufacturing intelligence
- Overall equipment effectiveness analysis and optimization.
- Manufacturing process quality monitoring and management.
- Equipment maintenance scheduling.
- Supply chain visibility and monitoring.
- Identifying demand drivers, consumer demand forecasting.
- Demand/supply balancing.
- Supply chain risks analytics.
Transportation and logistics intelligence
- Operational capacity planning and optimization.
- Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.).
- Vehicle supply allocation and vehicle dispatch management.
- IoT data analytics for safe cargo delivery (data on cargo temperature, humidity, etc.; data on driver behavior, vehicle condition, etc.).
- Patient health condition monitoring, patient treatment optimization.
- Assessment of patient risks and personalized care plan recommendations.
- Fraud detection in healthcare insurance.
- Medical staff workload prediction and work shifts optimization.
- Optimization of clinical space and equipment usage.
- Customer behavior analytics and segmentation.
- Sales performance analytics (per customer segment, brand, product, etc.)
- Multi-echelon inventory optimization and demand forecasting.
- Pricing analytics and dynamic price optimization.
- Ecommerce marketing analytics.
BI launch
- BI needs analysis
- BI solution requirements elicitation
- Analysis of existing data sources and data flows
- ETL rules capturing
- Data quality needs analysis
- Defining requirements for reports and dashboards
- Security and user access requirements elicitation, etc.
- BI solution architecture design and tech selection
- BI project estimation and planning
- PoC delivery (in case of complex projects)
- Development of BI solution components (a data lake, DWH, OLAP cubes, reports and dashboards), solution implementation
- User training
- BI solution support and evolution
BI support
- BI solution gap analysis
- Development support
- BI solution troubleshooting on the code level (e.g., rewriting a faulty ETL process)
- BI solution evolution (adding new data sources, creating new reports and dashboards, etc.)
- Administration support (updating software, adding new users, handling permissions, administering data)
- Power BI support
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.
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Get a detailed view of a sample BI solution architecture we build and implement for our clients. |
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