True : Digital reveals the tips for creating business differentiation and achieving goals through the combined power of big data, AI, and Intelligent Data Platforms advising organizations to accelerate business transformation by seamlessly integrating technology, data, and people

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True Digital reveals the tips for creating business differentiation and achieving goals through the combined power of big data, AI, and Intelligent Data Platforms advising organizations to accelerate business transformation by seamlessly integrating technology, data, and people

11 April 2024

Bangkok, 11 April 2024 - True Digital Group, led by Mr. Rajiv Bawa, Head of Digital Platform Solution, continuously encourages organizations to utilize data and AI to create new business opportunities for sustainable growth, organizing the Analytics Forum 2024 - Power of AI-Driven Data Analytics, transforming businesses and satisfying customers with insight data. The seminar aims to provide perspectives on leveraging data, AI and Intelligent Data Platforms for businesses' benefits, experiences sharing by organizations utilizing data effectively, and introducing the guidance to become data-driven organizations. There were entrepreneurs and interested people from organizations across various business sectors attended the seminar and shared opinions with data and AI experts including Mr.Putti Tangtrakulwongse, Head of Customer Engineering, Google Cloud, Mr. Fukiat Julnual, Solution Architect, Databricks, Mr. Sahachart Khamnin, Head of Digital Platform Partnerships, AIA Thailand. The event was organized recently at True Digital Park.

Mr. Rajiv Bawa, Head of Digital Platform Solution, True Digital Group Co.,Ltd. said "True Digital aims to support all sectors to have access to and utilize digital technology especially in the businesses that need to accelerate digital transformation for strong and sustainable growth. This requires an integration of technology, data, and workforce. True Digital helps businesses reach their goals with our expertise in data strategy and planning including data aggregation from various sources to serve businesses' needs, data management system powered by generative AI for data analytics, and Data Platform as a Service that helps reduce IT infrastructure cost in data storage and data analytics as well as allows flexibility in response to rapidly change of usage requirements. Moreover, the platform can integrate data across various sources and use AI as a core technology for deep data analytics, providing insight data to increase efficiency and accuracy in business decision-making. True Digital also collaborates with leading technology companies such as Google Cloud and Databricks to promote and drive business organizations to effectively utilize data and technologies for sustainable business growth."

Gets start data analytics easily with 3 components: Cloud - Processing Technology - Data

Mr. Putti Tangtrakulwongse, Head of Customer Engineering, Google Cloud, said "in digital era, there are overwhelming data generated, becoming a big challenge for organizations in data utilization. For efficient data analysis to respond promptly to changes in consumer behavior and the market, business organizations should consider and integrate three key components including 1) Cloud - an infrastructure platform that enhances efficiency and speed in data management. It can support managing massive amounts of data and is flexible to respond to constantly changing usage needs and uncertainty without having to change and invest in additional hardware equipment. Therefore, it helps reduce concerns regarding resources and IT infrastructure costs. 2) Deploying technologies to create advantages and choosing solutions that directly address business problems. Organizations might opt to use Machine Learning (ML), AI, or Generative AI working with data analysts to build automation systems for faster and more accurate data analytics. Together with this, organizations should raise awareness about the importance of using data and democratize access to data and AI to make it conveniently accessible and usable for everyone at an appropriate level, ensuring maximum effectiveness. 3) Data - the most important and necessary component to have, ensuring both accuracy and clarity, for AI to analyze and work efficiently, yielding the most accurate and precise results. Organizations can use dataset from various sources to encompass both quantitative aspects, which involve variables related to time series for pattern looking up, and qualitative aspects, using attributes or features of the data for analysis and aiding in business decision-making."

Utilizing data from various sources for business goal achievement

Mr. Fukiat Julnual, Solution Architect, Databricks, a data and AI company with over 12,000 organizations worldwide using their Data Intelligence Platform, shared a perspective on utilizing data to address business challenges. There are vast amounts of data generated in daily business operations, which can be used to answer many business problems and provide reliable information aiding in forecasting and decision-making rather than guessing. The process of data utilization begins with data. Organizations should identify what data they need and determine where the data sources that help address business objectives. Starting with existing data and experiencing data deficiencies, organizations then seek additional data to support business objectives. This might involve data partners such as Telco data, conducting marketing campaigns such as advertisements or membership, and deploying AI or Machine Learning technologies. Processing data from multiple sources helps generate more impactful results and increase organizations' project activation. Next is data processing and analytics, which provide insight into information from the past, at present, or even forecasting for the future. Empowered by AI and Generative AI, organizations can manage and leverage data for maximum benefits with the most appropriate outputs. Ultimately, the output can be utilized within the organization broadly or tailored to specific working groups. However, before proceeding with data utilization, organizations should clearly define their business objectives. This enables them to assess the level of project success and decide whether to continue or alter strategies to achieve business goals.

Revealing secret of success; winning the hearts of AIA customers with the power of data

AIA Thailand is one of the organizations that has a vision and realizes the importance of data utilization to unlock new business opportunities and win hearts of life insurance customers. Mr. Sahachart Khamnin, Head of Digital Platform Partnerships, AIA Thailand shared his experiences and success in utilizing multiple data sources both internal data and being a data analytic strategic partner with True Digital Group that enables multidimensional perspectives in data analytics, as well as providing deep understanding of existing customers and new customers base expansion. It also helps AIA to overcome the limitations of traditional insurance sales channels, both through agents and call center staff, and adds more customer engagement communication channels. Collaborating with True Digital to run data analytics models, AIA can clearly identify customer segmentation and offer insurance products best suited for customers in each segment, including life insurance, health insurance, accidental insurance, and financial insurance. Moreover, insight data effectively helps explore new potential customers who are interested in AIA life insurance and health insurance. Over the past 2-3 years, AIA has utilized data to create many marketing campaigns and got more than 20 times growth in number of prospects or leads, adding higher sales revenue from insurance products offering that meet customer needs, driven by more precise and accurate data. In the future, AIA plans to leverage data to enhance hyper-personalized product offerings and explore using real-time trigger data to create real-time products or campaigns that match customers' needs in the right situation. Therefore, whenever they seek life protection and security, they will think of AIA first.

Mr. Sahachart expressed concerns about the organization's preparation before utilizing data. It is important to comply with regulations and laws such as the Personal Data Protection Act (PDPA) and obtain consent from data owners, ensuring readiness in IT infrastructure and technology platforms for data processing and analytics, and requiring collaboration across departments within the organization and partners for understanding and cooperation in experimenting, learning, and aiming towards the same goals.

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