ITTStar helps customers derive deeper value from data through cutting edge solutions
Our approach starts with defining the metrics that are key to a business or function. A team of data analysts and SME's use various qualitative and quantitative techniques to segment the data and correlate with specific outcomes. The hypothesis is translated into visualization and analyzed for accuracy and relevance. We work with leaders and end users to create quality decision making solutions. We provide a rich analytics experience tailored to your apps, portals and website with no servers or infrastructure to manage. We can easily pull data from various sources and integrate quickly to obtain a complete picture of your business.
Click below to see our interactive dashboards for different use cases
Our Strength
We build scalable & secure Data Analytics solutions on cloud using the power of Artificial Intelligence, Machine Learning & Predictive modeling to increase the value that data brings to your business.
Using visualization of your data, we help businesses create and publish interactive dashboards that help in business decision-making. Our data analysts will help you extract actionable insights from diverse data sets - structured and unstructured, in transit or at rest, generated in real-time and at a large scale, allowing you to make timely decisions using modern technology stack and cloud services
ITTStar delivers business impact using Embedded Anlytics
Focus on reduced complexity and increased transparency
Flexible and innovative approach towards problem solving
Turnkey approach for developing end-to-end development
Rapid development of custom solutions
On Demand Webinar
Here's how ITTStar add value!
Scale from 10s to 1000s of users without any software, servers or infrastructure to manage
Flexible and innovative approach towards problem solving
Pay-per-session pricing making it cost-effective
Ask questions using natural language and receive answers in seconds
Our Resources
Cut costs and complexity, supercharge efficiency
Amazon QuickSight was chosen for its cost-effective, easy-to-use features, enabling robust data analysis without extensive IT infrastructure. ITTStar provided solutions like Pay-per-session pricing and embedded analytics, significantly improving operational efficiency and data-driven decision-making at PWG. The implementation led to seamless user access and enhanced business analytics capabilities.
Revolutionizes data analytics by streamlining data management for sharper insights and decision-making
ITTStar enhanced data analytics by improving data management processes for one of the United States' retirement insurance companies. The initiative streamlined data transformation and integration, leading to more efficient data handling and enabling better decision-making and insightful analytics without relying on complex IT infrastructure.
Revolutionizes data analytics by streamlining data management for sharper insights and decision-making
ITTStar enhanced data analytics by improving data management processes for one of the United States' retirement insurance companies. The initiative streamlined data transformation and integration, leading to more efficient data handling and enabling better decision-making and insightful analytics without relying on complex IT infrastructure.
Elevate retail decision-making with a new data-driven approach to sales, inventory, and pricing analytics
An American designer and children's apparel marketer partnered with ITTStar to improve data accessibility and analytics for forecasting sales, inventory, and pricing. Consolidating data into a centralized retail datastore improved its data management and analytical capabilities, enabling more effective decision-making and operational insights without specific cloud technologies.
Streamlined analytics and cut costs by transitioning to a more efficient data management system
This case study describes how one telecommunication company transitioned to a new analytics platform to improve data management and user access, especially for external and internal users facing high licensing costs and data access issues. By integrating a new data analysis system, they were able to address these challenges, leading to more efficient data refreshes and better control over data permissions, ultimately enhancing their analytics capabilities.
Streamlined analytics and cut costs by transitioning to a more efficient data management system
This case study describes how one telecommunication company transitioned to a new analytics platform to improve data management and user access, especially for external and internal users facing high licensing costs and data access issues. By integrating a new data analysis system, they were able to address these challenges, leading to more efficient data refreshes and better control over data permissions, ultimately enhancing their analytics capabilities.