Unlock data and AI to maximize the potential of your business

Power of Data Analytics & Artificial Intelligence

Data Analytics and AI are two of the fastest-growing fields in the world of technology. They are both concerned with the analysis of large amounts of data in order to extract useful insights and make predictions.

Data analytics and AI together are powerful tools for understanding complex systems. By combining these two fields, organizations can gain a deeper understanding of their data and make more mature business decisions.

Person interacting with a touch screen showing a network of connections leading to a central AI node – representing artificial intelligence and data processing

What we do?

Transform your data infrastructure

Every company which aspire to become data-driven organization must own modern Data Platform.

Data Platforms are software applications or systems that are used to collect, store, process, and analyze large amounts of data. These platforms typically consist of several components, including a database for storing data, tools for cleaning and preprocessing data, algorithms for analyzing data, and visualization tools for presenting the results of data analysis. The need for Data Platforms, Data Warehouses, Data Lakes, and other types of data repositories is driven by the increasing amount of data that organizations are generating and collecting. As businesses generate more data from a variety of sources, such as transactions, sensors, and social media, they need a way to store and manage this data in a way that allows them to access and analyze it.

Take advantage of our cutting-edge technology and make your data an asset. With TT PSC, you can easily organize, clean, and pre-process your data while also ensuring the highest levels of security and governance.

Data Analytics Platforms

Solve concrete business problems with AI

Improve your business with end-to-end AI Solutions from Industrial, Supply Chain and Product Lifecycle areas

Our AI solutions offering is focused on most critical aspects of each potential business area, from product design enhancements, via manufacturing process improvements to supply chain, logistics and customer satisfaction optimization.

Industrial Analytics	Supply Chain Intelligence	Product Lifecycle Intelligence
Anomaly Detection	Demand Forecasting & Warehouse Optimization	Change Management Optimization
Predictive Quality	Allocation & Replenishment
Predictive Maintenance	Inventory Optimization
	Delivery Optimization
	Fraud Detection

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Harness the power of Data & AI to improve areas

Manufacturing

Identify bottlenecks by analyzing sensor data on the production line
AI algorithm will suggest changes to help eliminate problems from the production process
A solution based on Data & AI will help improve the overall efficiency of the production process

Supply chain

Identify trends in customer behavior
AI will predict the most popular products in the future
Improve inventory management with the data obtained
Increase sales based on this data

Rely on strong partnerships

We are partnering with the leading technology companies

Start to make data-driven decisions

To become a data-driven organization, you must prioritize the collection, analysis, and use of data in your decision-making processes. This can be achieved through the following steps:

Establish a clear vision and strategy

for becoming a data-driven organization. This should include a plan for how data will be used to support decision-making and drive business objectives.

Invest in the necessary technology and infrastructure

to support data-driven decision-making. This may include Data Platforms, MLOps systems, and other tools for data collection, analysis, and visualization, as well as a robust and secure data storage and management system.

Develop a culture

of data-driven decision-making within the organization. This involves training employees on how to use data effectively, leveraging BI reporting tools and encouraging them to use data to support their decisions, and providing them with the tools and resources they need to access and analyze data.

Continuously collect and analyze data

to support decision-making. This involves regularly gathering data from various sources, such as customer interactions, internal processes, and market trends, and using this data to inform business decisions.

Use data to drive continuous improvement.

by implementing AI Solutions and regularly analyzing data and using it to support decision-making, organizations can identify opportunities for improvement and take action to drive growth and success.

Take proactive steps to prevent costly repairs and downtime

We understand that every organization has its own unique needs and challenges. We can help you in a variety of ways, and we provide platforms and services to drive better business outcomes.

Easily find out if your data is ready for AI.

Check our AI Data Discovery Service