Logistics
Life Science
Healthcare
Services
Manufacturing
Our Data & BI Services
Data 
Data Visualization
Transform complex data into clear, interactive visual representations to drive better decision-making.
- Create real-time, interactive dashboards for data exploration.
- Develop customized reports focused on key business metrics.
- Simplify data analysis for non-technical users with clear visualizations.
- Optimize visuals for mobile access and on-the-go decision-making.
Predictive Analytics
Leverage historical data and machine learning models to forecast future trends and outcomes.
- Forecast customer behavior, sales trends, and market changes.
- Identify risks and opportunities for proactive decision-making.
- Estimate future sales and optimize resource allocation.
- Analyze past data to better target the right audience.
Data Integration
Integrate data from multiple sources into a single platform to provide a unified view of your business.
- Combine data from CRMs, ERPs, and other systems for a unified view.
- Enable real-time synchronization between on-premise and cloud data.
- Improve data accuracy through quality management during integration.
- Automate data updates for accuracy and consistency.
Self-Service BI
Allow business users to access and analyze data without relying on IT or technical teams.
- Provide easy-to-use tools for custom reports and dashboards.
- Promote a data-driven culture by enabling user-driven analysis.
- Allow ad-hoc reporting to address specific business needs.
- Empower users with advanced analytics tools for in-depth analysis.
Cloud-Based BI Solutions
Deploy business intelligence tools on the cloud for scalability, flexibility, and accessibility from any device.
- Scale BI tools with cloud platforms for growing data needs.
- Provide real-time access to data for informed decision-making.
- Reduce infrastructure costs with cloud storage and processing.
- Facilitate collaboration by sharing reports and dashboards across teams.
Data Governance & Compliance
Implement governance policies to ensure data security, quality, and compliance with industry regulations.
- Implement security measures like encryption and access control.
- Ensure compliance with data regulations (GDPR, HIPAA, CCPA).
- Track data access and changes with audit trails for transparency.
- Continuously update systems to comply with evolving regulations.
Key differentiators
Data-Driven Insights
Transform raw data into actionable insights that drive strategic decision-making.
- Leverage predictive analytics to forecast trends and customer behavior accurately.
- Monitor key business metrics in real-time for faster, more informed decisions.
- Integrate data from multiple sources to provide a complete, holistic view of business performance.
- Use data-driven insights to eliminate guesswork and reduce risks.
User Empowerment
Enable business users across the organization to access and analyze data on their own.
- Provide self-service tools that allow non-technical users to generate custom reports and dashboards.
- Allow users to explore datasets freely and uncover hidden insights that can drive innovation.
- Incorporate advanced analytics into self-service tools, giving users access to powerful insights.
Scalability & Flexibility
Ensure your BI solution grows with your business, adapting to changing data and analytical needs.
- Use cloud-based solutions that scale with your business’s increasing data and processing demands.
- Add or remove BI features as necessary, based on evolving business requirements.
- Seamlessly integrate multiple data sources to accommodate new systems or platforms.
- Scale resources up or down based on your business needs without the overhead of maintaining on-premise infrastructure.
Security and Compliance
Safeguard business-critical data while ensuring compliance with industry standards and regulations.
- Implement encryption, access control, and audit trails to protect sensitive data and ensure transparency.
- Ensure compliance with global data privacy regulations, including GDPR, HIPAA, and CCPA.
- Provide role-based access to ensure that only authorized users have access to specific data.
How We Execute
Business Modelling Business Requirements/ Use Cases
Logical Architecture (Vision) Conceptual Design Initial Object Model
Data Architecture Interface Scope & Strategy
System Architecture Environment Preparation
Site Map, Navigational Model User Acceptance Criteria Change Management Strategy
Final Object Model, App Design Specs, Workflow Design, Development Standards, DevOps & Build Plan
Logical DB Model, Data Conversion Design Specs, Integration Detailed Des. Batch/ Real Time Scheduling
Physical Architecture (Design), Dev, Test, Prod. Env. Design, Hosting Requirements, Security Policies
Iterative Build Testing, System Test Scripts ,Build Online Help, Develop Training
Construction (Weekly Builds) Unit Test Discrepancy Fixes
Database Extensions EAI Development, Batch Development Data Migration
Maintain Environments UAT & Prod Preparation
Integration Test System Test/UAT Deliver Training
Execute System Test Scripts Discrepancy Fixes
Test Scripts Test EAI Services
Coordinate UAT Performance Testing
Training Session Production Testing
Prepare Prod App Production Support
Migration Data Production Support
Migrate Environment
- Data management - Strategies to reduce storage costs. By archiving data and optimizing data models ( cut storage expenses by 15%)
- Template repository – readily reusable templates available based on previous project experiences (15 to 25% effort reduction)
- Configuration and Data Migration – Readily available templates for reuse (20 to 25% effort reduction)
Frequently asked questions
Find answers to all your queries.
What is Data and Business Intelligence (BI)?
BI involves analyzing data to provide actionable insights for better business decision-making. It combines data collection, analysis, and reporting tools to turn raw data into valuable information.
Why is BI important for businesses?
BI helps businesses make data-driven decisions, identify trends, improve operations, and gain a competitive edge by unlocking insights from vast amounts of data.
What tools do you use for BI?
We use leading BI tools such as Tableau, Power BI, and Google Data Studio to create visual dashboards, reports, and actionable insights.
What is data visualization in BI?
Data visualization uses charts, graphs, and dashboards to present data clearly, making complex information easier to understand and analyze.
How can BI improve decision-making?
BI tools provide real-time data, key performance indicators (KPIs), and predictive analytics, allowing businesses to make informed and timely decisions.
What is data warehousing?
Data warehousing is the process of storing large amounts of data from different sources in a central repository, making it easier to analyze and retrieve for BI.
How long does it take to implement BI solutions?
Implementation time varies based on the complexity of your data and BI requirements, typically ranging from a few weeks to several months.
How do I get started with BI?
Start by identifying key business objectives and data needs. Our team will guide you through selecting the right tools, setting up systems, and analyzing data to generate actionable insights.
