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Business Intelligence Consulting Services

Since 2005, ScienceSoft designs efficient BI solutions to help organizations across 30+ industries eliminate data silos, automate reporting, and benefit from trustworthy analytics insights.

Business Intelligence Consulting Services - ScienceSoft
Business Intelligence Consulting Services - ScienceSoft

Business intelligence (BI) consulting services are needed to help organizations adopt best practices in data management, analytics, and visualization and implement efficient BI solutions tailored to their business needs. Well-tuned BI systems promote informed decision-making and data-driven process optimization by consolidating many data sources into a single point of truth and delivering accurate insights via dynamic, easy-to-navigate dashboards.

Why Choose ScienceSoft as BI Consulting Company

Partnerships with

Gold Microsoft Partner

AWS Select Consulting Partner

Oracle Silver Partner

Featured as

Expert in

Amazon Redshift

Azure Synapse Analytics

Microsoft Power BI

  • Since 1989 in data science and data analytics.
  • Since 2005 in data warehousing and BI services.
  • User-friendly interfaces and easy-to-read reports – we deliver intuitive BI dashboards that offer clear visuals for easy data navigation and can be customized by users without any coding skills.
  • In-house regulatory experts to help you achieve compliance with HIPAA, GDPR, PCI DSS, and other relevant regulations.
  • We drive projects to their goals regardless of time and budget constraints. Check our project management practices that guarantee project success no matter what.
  • We follow the quality-first approach based on our mature ISO 9001-certified quality management system.
  • ISO 27001-certified security management to guarantee the complete security of your data.

Get Case-Specific Data Insights

Insights by Industry

ScienceSoft is a business intelligence consulting company with practical experience in 30+ industries, including healthcare, BFSI, manufacturing, logistics, telecoms, and more.

  • Automated calculation of KPIs across various analytics directions, including patients, treatment, health outcomes, internal operations, financial and insurance claims management, and more.
  • Multidimensional metrics segmentation (e.g., costs per facility and patient, insurance claims per department and rejection reason).
  • Identification of trends and bottlenecks in the required processes (e.g., in treatment, asset management) with root cause detection.
  • Forecasts (e.g., treatment and financial outcomes, resource utilization and demand).
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  • Institution's operational intelligence.
  • Automated calculation of the required KPIs and stability indicators.
  • Identifying trends in financial management processes.
  • Customer service insights.
  • Identification of up-selling and cross-selling opportunities.
  • Analyzing marketing campaigns performance.
  • Automated submission of reports to regulators.
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  • Comprehensive underwriting intelligence with borrower creditworthiness estimation and analytics-based collateral evaluation.
  • Lending team performance analytics.
  • Insights into loan servicing (e.g., borrower repayment history, cash flow forecasts).
  • Loan portfolio analytics with insights into profitability, demand, and possible risks.
  • Calculating optimal loan pricing.
  • Automated reporting to regulatory authorities.
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  • Insights into policy administration, including demand and severity forecasts, premium analysis, and more.
  • Underwriting profitability forecasting.
  • Insights into operations management to optimize customer servicing, claim processing, and other internal processes.
  • Analytics of insurance agents' performance.
  • Predictive analytics for insurance planning and optimization.
  • Automated submission of reports to regulators.
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  • Portfolio performance analytics with factor exposure and asset allocation analysis.
  • Operational intelligence with insights into investment manager's performance, financial management, and more.
  • Risk intelligence (e.g., assessment of risk-adjusted return, standard deviation calculation).
  • Customer intelligence (for wealth management companies).
  • Automated reporting to authorities.
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  • OEE analytics with optimization insights.
  • Production intelligence, including insights into production scheduling, employee workload and productivity, and production bottlenecks identification.
  • Supply chain analytics.
  • Predictive asset maintenance.
  • Building the required forecasts (e.g., on power consumption, demand for supply materials).
  • Support in manufacturing cost calculation and optimal product price identification.
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Retail and ecommerce intelligence

  • Customer segmentation and behavior analytics across online and offline channels.
  • Multi-channel and multi-store inventory demand forecasting.
  • Insights into assortment planning.
  • Price elasticity analysis.
  • Supplier performance analysis and risk forecasting.
  • Merchandising and marketing analytics.
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Transportation & logistics intelligence

  • Assistance in operational capacity planning and optimization based on multi-factor analysis (e.g., incoming shipments, customer delivery schedules, vehicle availability, personnel shift schedules).
  • Predictive vehicle maintenance.
  • Forecasting (e.g., of vehicle demand, fuel amounts).
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  • Multidimensional property segmentation and comparison.
  • Visualization of location-specific insights on maps.
  • Customer-specific property recommendations.
  • Occupancy and lease management analytics.
  • Predictive property maintenance.
  • Insights into real estate portfolio performance and risks.
  • Agents' performance monitoring.
  • Construction management insights.
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  • Resource allocation optimization based on the analysis of energy consumption patterns.
  • Resource demand forecasting.
  • Predictive asset analytics.
  • Calculation of renewable energy share in the energy grid.
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Oil & gas intelligence

  • Forecasting estimated ultimate recovery and production rates.
  • Predictive equipment maintenance.
  • Insights into environmental impact.
  • Analytics of refinery quality control.
  • Supply chain intelligence.
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Telecoms intelligence

  • Network capacity forecasts.
  • Customer management insights for churn prevention, offerings customization, and customer retention.
  • Identification of operational bottlenecks with root cause analysis.
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  • Insights into students' performance.
  • Analysis of students' and parents' feedback on the learning environment and the quality of teaching.
  • Predictive analytics for enrollment and resource forecasting.
  • Financial intelligence with insights into cash flow management, grant revenue, etc.
  • Analyzing teacher's performance.
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  • Multidimensional customer segmentation.
  • Insights on service improvement based on customer sentiment and satisfaction analysis.
  • Operational analytics, including staff and financial performance.
  • Forecasting resource needs to optimize staff allocation.
  • Performance bechmarking against industry peers.
  • Forecasting and scenario analysis to enable strategic planning.
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Travel and hospitality

  • Operational analytics with demand forecasting and process optimization recommendations.
  • Analytics of customer preferences and feedback across multiple touchpoints.
  • Real-time tailored recommendations for customers, e.g., on destinations, events.
  • Dynamic service price optimization.
  • Employee performance and service quality analytics.
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  • Multidimensional audience segmentation.
  • Insights into customer preferences.
  • Content performance analytics.
  • Predictive analytics for content demand and popularity forecasting.
  • Marketing campaigns analytics.
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Insights by Business Area

  • Continuous visibility into corporate financial performance.
  • Tracking a company’s revenue, expenses and profitability.
  • Financial planning and budgeting.
  • Financial risk forecasting and management.
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  • Customer segmentation and customer behavior analytics.
  • Customer value analytics.
  • Customer satisfaction analysis.
  • Customer behavior predictive modeling, churn risk management.
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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.
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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.
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  • Supply chain visibility and monitoring.
  • Identifying demand drivers, consumer demand forecasting.
  • Demand/supply balancing.
  • Supply chain risks analytics.
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ScienceSoft USA Corporation Is a 3-Year Champion in the Financial Times Rating

Three years in a row (2022–2024), the Financial Times has included ScienceSoft USA Corporation in the list of 500 fastest-growing American companies. This is the result of our dedication to driving project success despite any constraints and disruptions.

Business Intelligence Brings Tangible Benefits

According to a 2022 IDC Data Intelligence Index report that features companies from healthcare, manufacturing, retail & wholesale, transportation & logistics, finance, education, government, technology, construction, utilities, and other industries, investments in business intelligence led to about 20% increase in multiple metrics, including customer satisfaction and loyalty, employee retention and productivity, adherence to regulatory compliance requirements, and more.

Business Intelligence Significant Improvements - ScienceSoft

The Full Range of BI Services for Your Success

BI consulting

ScienceSoft’s consultants are ready to analyze your current data infrastructure and BI needs to offer a pragmatic and cost-effective solution that will streamline reporting and eliminate data silos. We can design an efficient BI architecture, offer an optimal tech stack, and build a step-by-step project roadmap to help you implement BI with confidence.

Go for consulting

BI implementation

In BI services and data warehousing since 2005, we have the experience and skills to develop high-performing, robust BI solutions even for the most complex and data-rich organizations. We don’t stop at building sleek reports – our goal is to implement an efficient, highly automated system that will serve as a central DWH for your disparate data sources and support future growth and scaling for any changing analytics needs.

Go for implementation

BI support and evolution

Already have a reporting system or BI software, but it doesn’t satisfy your needs? Our experts can perform gap analysis, troubleshoot BI issues on the code level (e.g., rewriting a faulty ETL process), help you re-engineer or evolve your legacy solution, add new data sources and reports, or provide comprehensive BI administration and support.

Go for support and evolution

How this works

  1. You fill out the contact form and briefly describe your BI needs.
  2. We assign the best-fit sales representative to contact you within one business day for a more detailed discussion of your case.
  3. Within 2–5 business days after the discussion, our consultants submit a proposal with a detailed description of the solution we can offer, the required team composition, and cost & time estimates.
  4. If you accept our proposal, we will assemble the team and start the project within 1–2 weeks.


ScienceSoft’s BI Portfolio

Our Customers Say

When we first contacted ScienceSoft, we needed expert advice on the creation of the centralized analytical solution to achieve company-wide transparent analytics and reporting. ScienceSoft’s team members proved to be extremely flexible and responsive. They stayed in daily contact with us, which allowed us to adjust the scope of works promptly and implement new requirements on the fly. Additionally, the team delivered demos every other week.

We commissioned ScienceSoft to build a flexible database with user interfaces for uploading and exporting data to access and manage our test data stored as time-based CSV files. Within 8 months, ScienceSoft’s team implemented a fully functioning database solution backed by Microsoft Azure Cloud infrastructure and services. We were satisfied with the quality and efficiency of the team’s work regardless of arising challenges. For example, ScienceSoft’s experts promptly reacted to new solution requirements that appeared during the project without stalling its progress.

bioAffinity Technologies hired ScienceSoft to help in the development of its automated data analysis software for detection of lung cancer using flow cytometry. Our project required coordination with multiple companies and individuals. ScienceSoft worked well with everyone. They are reliable, thorough, smart, available, extremely good communicators and very friendly.

BI Solution Components and Processes We Cover

ETL\ELT processes

Extracting data from diverse data sources, transforming it into a predefined format, and loading it into a storage destination.

Data lakes

Storing any type of data, including big data.

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.

See Business Intelligence in Action

ScienceSoft shows how a couple of customized Power BI dashboards can tell you the whole story about your company’s health and performance.

Technologies ScienceSoft Works With

How Much Does It Cost to Implement a BI Solution?


For a simple BI solution with ~5 data sources, batch data processing (e.g., every 24 hours), basic data management, and reporting via OOTB tools (e.g., Power BI).


For a corporate-scale BI solution with up to 15 data sources, batch and real-time data processing, advanced data management, OLAP tools, and some AI/ML capabilities.


For an enterprise-scale BI solution with batch and real-time data processing across all the integrated sources, maximally automated data management, OLAP tools, AI/ML-powered analytics (incl. for big data), and reporting via both OOTB and custom tools.

How Much Does It Cost to Implement a BI Solution?

BI implementation cost usually ranges from $80,000 to $1,000,000+, depending on software complexity.

Get a tailored estimate