Empower individuals, teams, and functions with data & insights. 

• Improve visibility of Key Performance Indicators (KPIs) across the organization.

• Design and integrate dashboards and reports with business cadence and decision-making rhythm.

• Use the technology of your choice and increase ROI on your current investments in BI tools (e.g. PowerBI, Tableau, QlikSense).

Integrate meaningful insights and reports with current operational systems and business workflows.

• Leverage open architecture to query KPIs, specific datasets, and custom algorithms.

• Deliver insights where it matters most - at the point of action.

• Democratize, leverage and monetize your data assets to drive business outcomes.

Deliver self-service capabilities using both traditional BI tools and direct queries to more sophisticated users.

• Securely expose your KPIs, Reports, and Datasets to select users/ user groups.

• Leverage your current expertise in BI tools/ SQL to interact with data, insights and KPIs.

• Leverage our Data Desk supported by experts for ad-hoc / strategic analytics. 

Distribute and Collaborate on data, reports, and insights using your enterprise messaging tool.

• Create data channels for teams/ functions/ SBUs.

• Distribute analytics insights, reports, and alerts through channels created on the messaging platform of your choice. 

Accelerate your journey from data to insights using our fully managed data teams.

• Create a highly skilled, responsive, and reliable MIS team for standard reports.

• Leverage our expertise in BI and Data Science tools to support business decisions with on-demand analytics. 

• Leverage our expertise in automation and information distribution to dramatically increase the availability of data and insights.

Leverage the latest technologies, tools, and expertise in a reliable and efficient manner to drive business performance. 

• Employ advanced data science techniques to drive business results across problem statements such as,  -  churn management, forecasting, recommendation engine, click-stream analytics, inventory management, price point analysis, promotion campaign analysis, customer profiling and targeting etc.

Create a Data Management layer for machine learning and AI for efficient management of MLOps.

• Facilitate discovery, documentation and reuse of features across algorithms.

• Enable queries on features at scale across applications, processes, and algorithms.

• Ensure point-in-time correctness of features for training and predictions. 

Create a logical data layer that integrates enterprise data across disparate systems.

• Integrate without physical movement of data for improving cycle time, accuracy and redundancy.

• Dramatically reduce time-to-value and cost-to-value for delivering insights and predictions.

• Deliver integrated information to business users, analytics users, and data scientists in real-time.

Leverage our optimized cloud infrastructure for implementation and scale-out of your analytics operations. 

• Ensure growth and scalability of your analytics infrastructure.

• Reduce the overall cost of ownership of your data platform.

• Modernize your data warehouse, data lake, data science and business intelligence approach.