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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.
  • Practical experience 30+ domains, including manufacturing, healthcare, retail, BFSI, logistics, energy, and telecoms. Our experts speak your language and know how to address your industry-specific challenges.
  • 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 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 Data Insights across Business Areas

  • 360-degree company view via integration and analysis of resource, process, financial, customer, marketing, sales, and other business data.
  • Company’s performance analytics.
  • Strategic corporate planning.
  • Predictions and forecasting (e.g., financial, sales forecasting).
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  • Business processes monitoring and analysis. Detection of deviations and undesirable patterns.
  • Cause-effect analysis, bottleneck recognition.
  • Operational performance prediction and forecasting.
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  • 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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  • Overall equipment effectiveness analysis and optimization.
  • Manufacturing process quality monitoring and management.
  • Equipment maintenance scheduling.
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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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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 (e.g., data on driver behavior, vehicle condition, cargo temperature).
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  • 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.
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  • Customer segmentation and behavior analytics across online and offline channels.
  • Multi-channel and multi-store inventory monitoring and demand forecasting.
  • Automated assortment planning.
  • Price elasticity analysis and dynamic price optimization.
  • Supplier performance analysis and risk forecasting.
  • Merchandising and marketing analytics.
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  • Customer segmentation, customer behavior and sentiment analytics.
  • Sales performance analytics and forecasting (per customer segment, brand, product, etc.)
  • Multi-echelon inventory and SCM optimization, fulfillment analytics, demand forecasting.
  • Pricing analytics and dynamic price optimization.
  • Ecommerce marketing analytics.

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.

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.


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

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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

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