How Tata Consultancy Services(TCS) became a pioneer in the Data Analytics field.

Tata Consultancy Services was founded in 1968 under the division of Tata sons. Tcs was a pioneer in introducing computing solutions in India at that duration. How TCS still holds the position in leveraging the data analytics field.If you’re thinking how then here is the explanation. In this article, I discussed the services and technologies used in TCS by leveraging data science.

1. Customer analytics: TCS uses data science techniques such as machine learning, predictive modeling, and data mining to analyze customer data and derive insights that help it provide better customer service and support.
2. Fraud detection and security: TCS uses data science technologies to monitor and detect potential fraud and security breaches, helping to protect sensitive client information.
3. Business Intelligence: TCS uses data science to help organizations make data-driven decisions by integrating, analyzing, and visualizing data from multiple sources.
4. Supply Chain Optimization: TCS uses data science to optimize supply chain operations by analyzing data from various sources to identify inefficiencies, reduce costs, and improve delivery times.
5. Predictive Maintenance: TCS uses data science to predict equipment failures and maintenance requirements, reducing downtime and improving operational efficiency.

TCS has created specialized frameworks to provide services to other companies.

1. TCS DatomTM: It is an advisory framework that helps customers create the best data, analytics, and AI strategies that are in line with their business objectives. It incorporates the data-on-cloud strategy, contextual knowledge, and cross-industry experience of TCS.
2. TCS DaezmoTM: It is an end-to-end solution framework for modernizing the data and analytics estate across decision operations, including EngineeringOps, DataOps, and AIOps. It is based on TCS’ Machine FirstTM approach.
3. TCS Decision FabricTM: Provides a cutting-edge framework for business solutions that combines the power of AI with immersive analytics to accelerate business outcomes.
4. TCS DexamTM: Provides businesses and their ecosystem partners with a secure environment for data exchange. The security, privacy, and consent of the data and its stakeholders are maintained while enabling the democratization, monetization, and commercialization of data.

Summary

1. TCS takes advantage of obtaining historical data to infuse analytics for business decisions and improve business strategy and methods such as Customer Analytics, Fraud Analytics, Business Intelligence, and Supply chain optimization.
2. It also provides services to other companies by creating frameworks, Dexam, Datom, Fabrics, and Daezom.

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