Data Analytics Consulting

Expert advice on Big Data adoption and implementation for your business.

Data Cleansing

Cleaning and preparing your data for analytics.

Data Warehouse & Data Lake

A centralized architecture for storing and managing structured and unstructured data.

Customer360

Data from various touchpoints and systems to create a holistic view of your customers.

Machine Learning & AI

Extracting valuable insights, discovering hidden patterns, and making data-driven decisions.

Use Cases

We are not about infrastructure. We are about business outcomes.

We know the cloud is about technology but we never forget that your business is about outcomes.

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Testimonials

Customer satisfaction is how we measure our success.

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Continuity of operations and reduce risk.

"TRC chose to use Veeam Backup & Replication with Cloud HM to ensure continuity of operations and reduce risks that may be damaging to the business. After opting for Cloud HMs, TRC was able to recover data 10x times faster, thus saving 20% on manpower costs, and 50% on lowering DR site administration costs."

Pavita Leesakul

Managing Director, TRC Construction Public Company Limited

What is Big Data?

A large and complex dataset that is challenging to process using traditional methods such as ETL (Extract, Load, Transform). Its features are high volume, high velocity data transfer, and diverse data. In recent years, rapid technological advancements, including the use of AI, Machine Learning, IoT, Cloud Computing, and the widespread adoption of smartphones, all of these have contributed to the rapid generation of data.

Features of Big Data

It helps collect data from various sources such as the internet, social media, online sales websites, company databases, third-party data, and more.

It forecasts and monitors the business in real-time, enabling companies to stay ahead of the market.

It assists in identifying critical insights from the data warehouse to make informed business decisions.

It mitigates risks from unforeseen events and uses data as a crucial component for decision-making in such scenarios.

It can identify issues in the workflow in real-time.

It unleashes the full potential of data for marketing purposes.

It allows deep customer data access to tailor products, services, discounts, promotions, and more according to customer needs.

It speeds up product and service delivery to meet customer demands.

It diversifies revenue streams to boost company profits.

It addresses requests and notifies customer support in real-time based on available data.

It fosters innovation in areas such as business strategies, products, and services.

Applying Big Data in Industrials

Retail industry, it is used to analyze customer needs comprehensively and segment the target audience effectively, aiding in marketing campaigns and promotions tailored to customer behavior, ultimately attracting more customers to purchase products and use services.

Telecommunications industry, it is employed to analyze user behavior within mobile phone networks, predict customer tendencies regarding network switching, and assess customer opinions about service quality. This analysis helps in making improvements and enhancing future service offerings.

Financial industry, it is utilized for fraud analysis and risk management, as well as to analyze customer preferences for financial institutions.

Science and technology are harnessed to analyze weather conditions, predict water levels, and examine various natural disasters.

In Marketing, it collects data from online social media platforms, including opinions and discussions about various brands. This data is then analyzed to develop marketing campaigns and provides opportunities for finding new customers online.

Entertainment and Tourism industry, it is employed to analyze trends and opinions, as well as online streaming to tailor entertainment programs or tourism activities to the needs of the target audience effectively.

Applying Big Data in Government

Using it to analyze traffic data to develop and provide appropriate transportation infrastructure and services.

Using it to analyze crime data to implement measures for preventing crime and enhancing public safety.

Utilizing it to analyze public health data, such as patient trends, healthcare needs, and disease outbreaks, to find ways to prevent and control diseases.

Employing it to analyze water data, including water sources, rainfall, and water usage, for effective water management, reducing the risk of flooding and drought.

Utilizing it to analyze energy data for efficient energy management and energy security.

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