Commitment to Sustainable Growth and Innovation

Datalize specializes in digital transformation and data storage and analytics solutions, empowering businesses to optimize operations through system integration and effective data analysis. We continuously innovate to deliver advanced technology solutions, tailored to meet the unique needs of each client. By combining cutting-edge technology with a team of seasoned experts, Datalize is committed to partnering with businesses on their journey of digital transformation and building sustainable competitive advantages.

Mission

Our mission is to enable businesses to seamlessly access reliable and intuitive business insights, empowering them to make swift and accurate decisions. By leveraging advanced technologies and optimizing processes, we deliver superior competitive advantages and stand as a trusted partner in driving sustainable growth and long-term success.

Vision

Leading Digital Transformation and Data Consulting in Vietnam

Becoming the premier partner for businesses in implementing data solutions and information systems, playing a pivotal role in advancing digital transformation across Vietnam.

Creating an Integrated Technology Ecosystem

Innovating comprehensive technology platforms, from Data Warehousing to Process Automation (RPA) and Advanced Reporting (Power BI), designed to deliver long-term value and scalability for our clients.

Expanding Regional Presence and Leadership

Rising to the top 3 in Vietnam while extending operations to Southeast Asian markets, establishing a recognized reputation in data technology and information systems.

Our services

At Datalize, we provide innovative and customized solutions designed to unlock the full potential of your business. By leveraging advanced technologies and a results-driven approach, we empower organizations to make smarter decisions, optimize performance, and achieve sustainable growth. Partner with us to transform challenges into opportunities and lead in the digital era.

Data warehouse

Build centralized, scalable data warehouses, enabling seamless integration and efficient decision-making

Power BI Reporting

Robotic Process Automation (RPA)

Artificial Intelligence (AI)

Software Development

Create interactive dashboards and real-time reports to visualize performance and drive insights

Automate repetitive processes with intelligent RPA solutions: Workato,
Power Platform (Power Automate/Apps),
Larksuite

Harness AI to unlock advanced analytics, predictive insights, and smarter business automation

Tailored software solutions designed to meet unique business needs and ensure seamless integration.

Our Customer

Explore our solution

Problem:

• Decentralized and Fragmented Data Management:
  Data is scattered across multiple systems, such as core banking, CRM, and ERP, making it difficult to centralize, manage, and analyze effectively.

• Inconsistent and Hard-to-Integrate Data Sources:
  Data from various sources, including financial transactions and customer information, lacks standardization, leading to inefficiencies in reporting and decision-making.

• Limited Capability for Data-Driven Insights and Reporting:
  The lack of advanced analytics tools and visual reporting hampers the ability to identify transaction trends, understand customer behavior, and assess risks in a timely manner.

Build Data Lake

Domain Banking
Techcombank

Our solution:

Developed and deployed LakeHouse for Techcombank, helping the bank centralize data from core banking systems and other internal systems in a central data warehouse

Core Banking Data Management and Internal Systems

Integrate and standardize data from multiple sources, including financial transactions and customer information, to create a unified and easy-to-manage information system.

Data Analysis With BigQuery And Power BI

Using Microsoft Azure for big analytics and Power BI for visual reporting, banks can effectively capture transaction trends, customer behavior, and assess risks.

Solution diagram:

Achievement

• Centralized Data Management:

  - Integrated 100% of data from core banking, CRM, and ERP systems.

  - Reduced data retrieval time by 40% and achieved 99.9% accuracy.

• Standardized and Integrated Data:

  - Improved data consistency by 70% and reporting efficiency by 50%.

  - Automated data synchronization, reducing manual effort by 60%.

• Enhanced Analytics and Reporting:

  - Enabled real-time insights into transaction trends and customer behavior.

  - Reduced report generation time by 30% and improved risk assessment accuracy by 25%.

  Key Outcomes:

• Faster Decision-Making: Streamlined access to real-time, actionable insights.

• Improved Customer Understanding: Enhanced ability to segment and analyze customer behavior.

• Operational Efficiency: Significant time and cost savings through automation and integration.

Problem:

• Decentralized and Fragmented Data Management:
  Data is scattered across multiple systems, such as core banking, CRM, and ERP, making it difficult to centralize, manage, and analyze effectively.

• Inconsistent and Hard-to-Integrate Data Sources:
  Data from various sources, including financial transactions and customer information, lacks standardization, leading to inefficiencies in reporting and decision-making.

• Limited Capability for Data-Driven Insights and Reporting:
  The lack of advanced analytics tools and visual reporting hampers the ability to identify transaction trends, understand customer behavior, and assess risks in a timely manner.

Build Data Lake

Domain E-Commercce
GemCommerce

Our solution:

Develop a Data Warehouse solution to centralize data from Shopify API, combined with Google Analytics and other data from marketing platforms.

Data Integration and Storage

Use ETL tools Airbyte and Airflow to automate data collection and normalization, moving data from Postgres to Amazon Redshift for analytics.

Data analysis and visualization

Create dashboards and analytics with Microsoft Power BI, providing insights into revenue, user activity, and campaign performance.

Solution diagram:

Achievement

• Streamlined and Centralized Data Management:

  - Consolidated 95% of operational data from core banking, CRM, and ERP systems into a unified data platform.

  - Reduced data redundancy by 60%, enhancing overall system efficiency.

  - Improved data retrieval accuracy, reducing downtime and errors by 45%.

• Improved Data Integration and Standardization:

  - Integrated diverse data sources, achieving 80% automation in the data normalization process.

  - Enhanced the compatibility of financial transaction and customer data, resulting in a 50% improvement in reporting reliability.

  - Simplified data workflows, reducing manual intervention by 40%.

• Advanced Analytics and Decision-Making Support:-

  - Developed predictive analytics models, increasing the ability to anticipate transaction patterns and customer behavior by 35%.

  - Enhanced real-time monitoring capabilities, leading to 20% faster response times for operational adjustments.

  - Expanded analytics coverage to include long-term forecasting, supporting 15% more strategic decisions.