Business Intelligence and Data Science

Our Business Intelligence and Data Science Services

Data Warehouse and Data Lakes Development

Data warehouses and Data lakes are essential components of business intelligence and data science efforts. We assist in the design and development of warehouses and lakes upon which predictive models and business intelligence dashboards are built.

ETL & Data Pipelines

Efficiently and Effectively bringing relevant data into your data lake or data warehouse is key to success in business intelligence and data science efforts. Our data pipeline engineers provide expertise and experience in ensuring source data is brought into your data warehouse properly.

Dashboards & Data Visualization

Tracking and displaying metrics and KPIs help you monitor the efficiency and the health of your organization. We create customized dashboards to turn your data into valuable insights using tools like Power BI and Tableau.

Text Analytics & Natural Language Processing (NLP)

NLP and text analytics translate text into understandable and actionable insights. This unlocks the value in unstructured data, enabling you to improve business performance in many areas. Our specialists assist in leveraging the power of these technologies to develop intelligent systems and solutions that are capable of understanding language based inputs.

Machine Learning & Predictive Analytics

Predictive analytics finds patterns in large databases, and enables you to build predictive and descriptive models. Machine learning enables models to be continuously updated and maintained automatically. Our teams help organizations use machine learning and predictive analytics to identify risks and opportunities, as well as design models that can recommend optimal choices.

AI and Large Language Models (LLMs)

Leveraging LLM and AI accelerates the creation of business intelligence and data science solutions. We incorporate the use of these emerging technologies on our engagements to create value for our customers more quickly. We also leverage these technologies to augment traditional data solutions with key insights generated using AI.

What’s included in these services?

Our services combine integration, analytics, and governance to help you unlock smarter business decisions.

Data Integration

Connect ERP, CRM, web, line-of-business systems, and external data sources into one trusted model for analysis and reporting.

Performance Analytics

Track core metrics, find bottlenecks, and spot where processes can improve.

Predictive Analytics

Use machine learning to forecast demand, risk, and outcomes delivered through our data science services when teams need forward-looking planning.

KPI Monitoring

Give each role real-time dashboards in Power BI or Tableau; this is often the first milestone in business intelligence implementation services.

Data Governance

Set ownership, quality checks, and access controls so reports stay accurate and compliant.

Self-Service Analytics

Provide curated datasets and guardrails so users can explore data and build reports safely.

30-50%

Time to report

faster once standardized dashboards and KPIs are in place.

25–45%

Manual reporting effort

reduction by automating refresh and distribution.

20–40%

User adoption of dashboards

uplift as role-based views replace spreadsheets.

30–50%

Data refresh time

faster through optimized models and ETL integration.

15–30%

Reduced data quality issues

fewer defects with automated data validation and effective data governance.

10–20%

Uplift in Operational Performance

organizations leveraging BI tools report an average ~15 % gain in operational metrics.

What do your business intelligence and data science services include?

Data warehouse development, ETL planning, reporting, dashboards and data visualization in Power BI and Tableau, text analytics and NLP, and machine learning for prediction. This combines our core business intelligence services with hands-on business intelligence development services.

How is BI different from data science services?

Business intelligence organizes and visualizes reliable historical data so teams can track KPIs and make informed decisions. Data science services use AI, statistics, and algorithms to find patterns, forecast outcomes, and recommend next steps within broader business intelligence and analytics services.

How do projects start and what does delivery look like?

We begin with understanding the desired business outcomes, review data sources, design models and ETL, build dashboards, validate results, and enable users. This consulting-led approach is how we run business intelligence implementation services and business intelligence consulting services.

Can you integrate our existing systems and tools?

Yes. Our business intelligence intelligence services unify ERP, CRM, web, and external data into a single governed model for reporting and predictive insights. We work with leading platforms across BI (Power BI, Tableau, Looker), Data Warehousing (Snowflake, Redshift, BigQuery, Azure Synapse), and ETL/Integration (Talend, Informatica, Fivetran, Boomi). This flexible approach lets your teams keep the tools they know while gaining a single source of truth.

Do you provide ongoing support after go live?

Yes. Our business managed services and data science managed services cover ongoing performance monitoring, user adoption, data quality, model updates, and user support. As a business intelligence service provider, we ensure solution stability so your insights stay reliable.

Business Intelligence and Data Science