ITTStar delivers advanced solutions that enable customers to gain insights from data
We start by identifying the metrics that matter for a business or function. We collaborate with data analysts and SMEs to classify the data and link it to specific outcomes using various methodologies. We test the hypothesis with graphics and check its validity and significance. We help leaders and end users make informed decisions. We provide tailored analytics for your apps, portals, and websites with no servers or infrastructure to manage.
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How is ITTStar Unique?
We use Artificial intelligence, Machine Learning & Predictive modeling to create Data Analytics solutions on the cloud that are secure & scalable. These solutions help you get more benefits from your data for your business.
We help business make better decisions by using data visualization to create and share interactive dashboards. Our data analysts will help you find useful insights from different kinds of data sets - structured or unstructured, moving or stored, real-time or large-scale, using modern technology stack and cloud services.
ITTStar uses Embedded Analytics to improve business outcomes
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
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
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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.