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Trigyn's Big Data Analytics Services

Trigyn's Big Data Analytics Services

The key to a successful digital transformation is Big Data Analytics. The pace at which enterprise systems can produce data was unimaginable just a few short years ago. Being able to organize, analyze and derive insights from these very large data sets is the domain of Big Data Analytics.

Trigyn applies industry best practices to solve our client’s big data challenges from data collection, data quality assurance, data storage, data management, data analysis and reporting. To facilitate cost-effective data management and utilization, Trigyn employs automation both in data management and in integrating insights into client business processes. In the end, Trigyn’s clients benefit from reduced operational costs, a data-driven approach to the market, and more agile decision making.

Case Study: Data Visualization Dashboard for a Government Client

Case Study: Data Visualization Dashboard for a Government Client

Case study about a data visualization project for a government client.

Case Study: AI Powered Enterprise Analytics & Reporting

Case Study: AI Powered Enterprise Analytics & Reporting

Case Study about how Trigyn implemented an AI powered enterprise analytics and reporting solution for a client's sales and marketing team.

Case Study: National Vaccination Management System

Case Study: National Vaccination Management System

Case study about Trigyn's development of a national vaccination management system.

Techniques and Challenges for Preserving Privacy in Big Data Analytics

Techniques and Challenges for Preserving Privacy in Big Data Analytics

An overview of techniques and challenges for preserving privacy in big data analytics.

Big Data Governance: Ensuring Quality, Compliance, and Security

Big Data Governance: Ensuring Quality, Compliance, and Security

An overview of strategies for ensuring quality, compliance, and security in big data governance.

Techniques and Technologies for Real-time Big Data Analytics

Techniques and Technologies for Real-time Big Data Analytics

An overview of techniques and technologies for real-time big data analytics

Graph Analytics in Big Data: Use Cases and Techniques

Graph Analytics in Big Data: Use Cases and Techniques

An overview of use cases and techniques for graph analytics in big data.

Advanced Machine Learning with Big Data: Scalability and Performance

Advanced Machine Learning with Big Data: Scalability and Performance

An overview of scalability and performance considerations in Machine Learning and Big Data

Data Lakehouse Architecture: Bridging Data Lakes and Data Warehouses

Data Lakehouse Architecture: Bridging Data Lakes and Data Warehouses

An overview of Data Lakehouse architecture and how it compared to data lakes and data warehouses.

The Role of Big Data in Smart Cities and IoT Implementations

The Role of Big Data in Smart Cities and IoT Implementations

Overview of how big data is used in smart city and IoT projects.

Minimizing Bias in Predictive Analytics

Minimizing Bias in Predictive Analytics

Understanding bias in predictive analytics and how to minimize it.

An Overview of Big Data Storage Solutions

An Overview of Big Data Storage Solutions

A review of the storage solutions used is Big Data Analytics.

Data Mining Techniques in the Era of Big Data

Data Mining Techniques in the Era of Big Data

An overview of data mining techniques.

Key Concepts in Real-time Data Processing

Key Concepts in Real-time Data Processing

Overview of key concepts in real-time data processing in Big Data.

A Roadmap for Implementing Predictive Analytics

A Roadmap for Implementing Predictive Analytics

Brief overview of how to implement predictive analytics in Big Data.

The Role of Big Data in Financial Services

The Role of Big Data in Financial Services

How Big Data is being used in the financial services industry.

Big Data in Analytics in Healthcare

Big Data in Analytics in Healthcare

How Big Data is being used in healthcare.

8 Solutions to Common Real-Time Data Analytics Challenges

8 Solutions to Common Real-Time Data Analytics Challenges

Solutions to 8 common challenges in real-time, big data analytics.

An Introduction to Predictive Analytics

An Introduction to Predictive Analytics

An introduction to predictive analytics.

Machine Learning in Big Data Analytics

Machine Learning in Big Data Analytics

The relationship between machine learning and big data.

Implementing Real-Time Data Analytics

Implementing Real-Time Data Analytics

Brief discussion of how to implement real-time big data analytics.