AI in Data Analytics – Navigating Data Challenges with Power Insights

Q: Why partner with FPT Software for AI-powered data transformation?

FPT Software combines AI expertise, data engineering capabilities, and its Power Insights platform to help enterprises tackle data complexity and become truly data-driven. As a partner, FPT accelerates implementation, reduces analytics costs, and provides a scalable foundation for future AI use cases and sustained competitive advantage.

As data volumes, complexity, talent shortages and poor cataloging make Big Data increasingly hard to manage, AI-driven analytics emerges as the key to unlocking data’s full strategic value through deeper insights, automation, and better customer experiences. FPT’s Power Insights, built on Azure OpenAI and Generative AI, operationalizes this vision by enabling any user to query and visualize data in natural language, deliver answers in seconds, cut analytics costs, and foster a truly data-driven, competitive enterprise. In this journey toward data transformation, FPT positions itself as a trusted partner helping organizations embed AI-powered analytics at every level of decision-making.

Written by

Tuan Minh Tran

Published on

January 31, 2024

Effectively addressing the growing complexity of data is essential to unlock new business opportunities and to realize the full potential of data as a strategic asset. In this context, AI enables organizations to accelerate decision-making while deepening the insight, accuracy, and value they can extract from their existing data.

In the global business landscape, data has become fundamental to achieving operational excellence. Today, 90% of enterprise analytics and business professionals state that data and analytics are critical to their organization’s digital transformation initiatives. Nevertheless, enterprises still face significant challenges in managing and optimizing data effectively.

Big Data’s biggest challenges

Big Data gives organizations unprecedented opportunities to generate insights, but it also introduces several structural and operational challenges that many companies are still struggling to address effectively.

Large data volume
Due to the explosive growth of data in recent years, traditional data storage and processing systems are increasingly overwhelmed, forcing organizations to adopt new approaches to data management and analytics. Most companies are steadily increasing the amount of data they collect every day. As a result, the storage capacity of a traditional data center eventually becomes inadequate, a trend that concerns 43% of IT decision-makers in the technology sector.

Talent shortage
A significant shortage of skilled data analysts and data scientists further intensifies these data challenges. The demand for data analysis roles is growing so rapidly that many organizations cannot hire qualified experts quickly enough to keep pace. According to research, 63% of companies indicated that their organizations are moderately worried about this talent shortage.

Inadequate data cataloging
To optimize data successfully, companies must refine and improve the quality, efficiency, and usability of data across the organization, ensuring that it is properly organized and easily accessible. However, many businesses struggle with inadequate data cataloging, which involves the systematic organization and categorization of data assets. Inefficient cataloging practices often result in data silos, data duplication, and a fragmented data landscape.

Limited understanding of data
Modern datasets frequently follow their own specific logic and require a deep understanding of how the data is extracted, structured, and transformed. Because of this complexity, organizations may have only a limited understanding of their data. This lack of comprehension hinders efforts to optimize data usage and ultimately leads to poor data quality and weak data observability.

Leveraging AI-Driven Data Analytics

As artificial intelligence continues to advance, enterprises are increasingly embedding AI into their data strategies. By using AI throughout the analytics lifecycle, from processing raw data to extracting insights and automating reporting, businesses can significantly enhance the value of their data initiatives. Key benefits of AI-powered data analytics include:

Deeper data insights: Machine learning models can detect patterns, correlations, and trends across large datasets that are difficult to uncover manually. These systems can also reveal relationships between data points, showing how changes in one variable affect another. With AI-driven analytics, enterprises gain richer visibility into customer behavior, market dynamics, and operational performance, supporting more informed decision-making.
Simplified analytics solution development: AI helps developers and analytics engineers set up analytics platforms more easily by enabling natural language instructions for tasks such as configuring user interfaces, managing user permissions, and customizing features. This reduces the need to manually interpret documentation or write complex configuration code, streamlining the entire development process.
Competitive advantage: A robust AI-driven analytics solution can strengthen competitiveness across multiple business areas. It supports teams in managing analytics environments, from creating new workspaces to applying changes to logical data models. Research by IBM shows that 63% of cross-industry respondents acknowledge gaining a competitive edge through data analytics.
Enhanced productivity: AI analytics automates repetitive tasks and streamlines reporting workflows, helping enterprises operate more efficiently. Instead of spending time on manual report and dashboard adjustments, teams can focus on higher-value work, ultimately improving overall productivity and resource utilization.
Better customer relationships: By applying machine learning algorithms to customer behavior and purchase histories, AI can generate personalized product or service recommendations. This level of personalization makes interactions more relevant and encourages additional purchases. At the same time, AI helps businesses understand how customers move through each stage of the journey, enabling continuous optimization for a smoother and more tailored experience.

To explore how enterprises can use AI to transform the digital shopping experience at every stage of the customer journey, read: AI in E-commerce: Reshaping Every Stage of Customer Journey

Power Insights – the right data platform for everyone

Power Insights is an AI-driven analytics platform developed by FPT. Unlike many conversational AI applications that are limited to generating text and images, Power Insights enables enterprises to perform data analysis and create visualizations through natural language interaction.

Built on Microsoft's Azure OpenAI technology, Power Insights leverages Generative AI, Large Language Models, and FPT's data processing and analytics expertise. Instead of depending on specialized analytical tools or advanced SQL skills, users can simply ask questions in conversational language to quickly extract valuable insights from their data.

Achieving data management and optimization within seconds
Designed for speed and efficiency, Power Insights can deliver analysis results in under 30 seconds per response. This rapid turnaround accelerates decision-making and allows users to continuously refine and expand their queries for deeper insights. At the same time, the platform helps reduce costs by minimizing recruitment and training efforts typically required for data analytics and Business Intelligence (BI) system development.

Flexible output formats and seamless collaboration
Power Insights presents answers in multiple formats, including text, tables, and easily understandable charts. It also enhances collaboration across the organization by enabling users to share information and insights through familiar channels such as Microsoft Teams and email. In addition, the platform removes language barriers in data analysis by supporting more than 120 languages worldwide.

A comprehensive tool for every level of the organization
With its combination of advanced AI capabilities and practical usability, Power Insights is designed to serve a wide range of users across the enterprise. Key attributes of the platform include:

Rapid analysis results
Short implementation time
Reduced risk of human error
User-friendly interface and experience
Ability to support deeper, iterative questioning

These capabilities make Power Insights a comprehensive solution for all organizational levels. Team leaders can use it to monitor team performance and streamline operations, while employees across functions can rely on the platform to solve problems more effectively and enhance customer service.

Venturing into the future of data-driven enterprises

Effectively navigating data complexity is essential for unlocking new business opportunities and realizing the full potential of data as a strategic asset. In this context, AI enables organizations to accelerate decision-making while deepening the accuracy and insights they can derive from their existing data.

On the journey toward data transformation, FPT serves as a trusted partner in overcoming data challenges. With Power Insights, enterprises can transition seamlessly to a data-driven operating model and stay ahead of the competition.

To learn more about Power Insights, please contact us.

Frequently Asked Questions

What are the main challenges companies face with big data today?

Enterprises face exploding data volumes that outgrow legacy storage and processing, a shortage of skilled data talent, and weak data cataloging that creates silos. Limited understanding of complex, diverse datasets further reduces data quality, slows analytics, and prevents organizations from realizing the full value of big data.

Why is data complexity such a big issue for enterprises today?

Rising data volume, variety, and fragmentation make it difficult to treat data as a strategic asset. Complex, siloed datasets slow analysis, hide risks and opportunities, and delay decisions. AI helps by rapidly processing large, complex data, revealing patterns and insights that improve both decision speed and accuracy.

How are enterprises using AI-driven analytics to unlock deeper insights?

Enterprises use AI to automate data preparation and reporting, then apply machine learning to detect patterns, correlations, and trends across large datasets. Natural language interfaces simplify analytics for business users, while AI-driven recommendations and personalization turn raw data into actionable insights for operations, customers, and strategy.

What is FPT’s Power Insights and how is it different?

Power Insights is an AI-driven analytics platform built on Azure OpenAI that lets users explore data via natural language and receive answers as text, tables, or charts. Unlike typical conversational AI that only generates text or images, it performs real data analysis, visualization, and collaboration for users across all skill levels.

Why partner with FPT for AI-powered data transformation?

FPT combines AI expertise, data engineering capabilities, and its Power Insights platform to help enterprises tackle data complexity and become truly data-driven. As a partner, FPT accelerates implementation, reduces analytics costs, and provides a scalable foundation for future AI use cases and sustained competitive advantage.