Our Data Platform
Integrate enterprise data in minutes at scale instead of hours or weeks
Transform raw data into actionable insights in seconds, not hours
Maximize data warehouse's performance, cut costs, and enhance efficiency in no time
Visualize complex data effortlessly, turning numbers into narratives in real-time
Unlock business intelligence with integrated ML/AI solutions instantly
Data Platform Overview
Data Platform Architecture
Features
Features | Data Platform |
Service Model | Supports both on-premises and multi-cloud environments, offering flexibility for deployment based on organizational needs. |
Supported Cloud Platforms | Compatible with a wide range of platforms including Azure, AWS, Google Cloud, Digital Ocean, as well as private clouds and enterprise data centers, ensuring broad interoperability. |
Scalability | Designed with horizontal scaling capabilities, allowing seamless expansion as data and user demands grow |
Vendor Lock-in | No vendor lock-in, providing customers with full control and freedom to migrate or integrate systems. |
Query Interface | Offers multiple options like SQL, Spark Dataframe, and REST API to suit diverse analytical and development needs. |
Data Structures | Capable of handling all types of data, including structured (e.g., relational databases), semi-structured (e.g., JSON, XML) and unstructured(raw, audio, video, logs, text, etc.) |
Services | Data lake, data warehouse, data lakehouse, data science, data analytics and AI/ML. |
Analytic Model | Supports Batch processing, Real-time analytics, and Streaming analytics for varied data processing needs |
AI/ML Capabilities | Built-in AI/ML models, designed to streamline predictive analysis and decision-making processes. |
BI & Reporting | Includes built-in reports and dynamic dashboards that offer real-time visualization and business intelligence insights. |
Security & Governance | Features role-based access control to ensure secure and restricted access to sensitive data. Can be customized to meet customer’s needs |
Domain Specific | Tailored solutions for specific industries such as: Networking, Telecom, Health Tech, Customer Insights |
Composable | Fully customisable components, enabling organizations to adapt the platform to meet unique business requirements. |
Easy to Use | Provides an intuitive drag-and-drop interface and customisable workflows, making it accessible even for non-technical users. |
Data Platform Solutions/Services
Solution/ Service | Notes |
Customer Data Platform | Unify customer data for personalized experiences and insights. |
Enterprise Data Platform | Centralize data management for seamless access and analysis. |
Data Warehouse | Ingest, store and query millions events per day efficiently for business intelligence. |
Data Lake | Collect and store raw data in its native format for flexible analysis. |
Data Lakehouse | Combine data lake and warehouse capabilities into unified platform for comprehensive analytics. |
Low-code Data Ingestion pipeline | Simplify data ingestion with minimal coding effort with advanced and easy to use tool |
Low-code Data Transformation pipeline | Transform data easily with low-code and easy to use tools. |
Automatic Lakehouse Optimization pipeline | Optimize lakehouse performance automatically with our ready to use pipelines. |
Dynamic Reports & Dashboard | Create dynamic, flexible, interactive reports and dashboards for real-time insights. |
Data & AI Governance Pipeline | Ready to use pipeline for ensuring data quality, security, and compliance |
High performance real-time data ingestion (100M – 500M events/day) | Ingest massive data volumes in real-time. From millions to billions events/day. |
Extremely big data warehousing (100M – 500M events/day) | Query extremely large datasets with ease and high speed, in seconds instead of minutes. |
Vector Embedding (HTML, PDF, images) | Embed and analyze diverse data types for intelligent search & chat engine. |
Case Studies
Customer Data Platform (CDP)
Healthcare And Insurance Data Platform
Phriendly Phishing
Recruitment
Product Lifecycle Management Data Warehouse
Migration Data Warehouse to AWS Cloud
This solution was developed for one of top clothing retailers in Vietnam.
Wolf Technology built a customer data platform to support customer on:
- Execution & Reporting: Analyze and report on consumer segmentation and marketing strategies across different channel to improve revenue and customer experience
- Data Consolidation: Collects and unifies first-party customer data from multiple sources to build a single, coherent, complete view of each customer (360-degree view of the customer).
- Platform Integration: Connect the database, marketing automation platform, and sales automation tool to improve the customer journey
This solution is made for American health insurance company, the third largest health insurance provider in the nation.
We have built an advanced data platform to support customer on :
- Data Set: Collects information from all these disparate sources and creates one unified set of data that serves as a single source of truth for all parties involved.
- Data Security: Use Azure platform to store and keep data more secure
- Data Visualization: Visualize data from various sources and share the results across all parties
The solution is made for an Australian-based company which provides security awareness and phishing simulation training solutions.
We have developed solution to support customer on :
- Tracking behavior: Reduce the likelihood of data spills or phishing fallout impacting organization by tracking and detecting user risky behaviors on the phishing emails
- Recommendation: Recommend the suitable courses to gain security skills and awareness to make safer decisions and fortify cyber security from the inside out
This solution is made for a leading recruitment agency in Australia that help organizations recruit the ideal staff and people find rewarding jobs.
We have supported clients manage data more efficiently and gain a competitive advantage :
- Data Centralization: Gather data stored across various sites and move it to a unified environment for immediate access and analysis
- Data Ingestion: Create data pipeline on AWS to ingest data from different data sources, transform various types of data into predefined formats and then deliver it to a data warehouse
- Automation: Automates some of the tasks that previously had to be manually carried out with data ingestion technology
This solution is made for an American enterprise in database management and security.
We have developed solution to support customer on :
- Integrate data from various systems: Conduct sharing sessions and meetings to understand existing processes, DevOps maturity and clarify new desired DevOps maturity level
- Provide an integrated solution: To loading available data feeds from Operator and ERP Systems as billing, sale, inventory
- Continuous tracking system: Capture devices shipment, shipment attribute, device sales, sale incentive, devices associated with activate service, usage volume
- Integrate with QlikView Server: To provide executive reports as Sale Volume, in store product availability, Forecasting Accuracy
This solution is made for an Australian company in online education training, their knowledge system is collected from many online teachers and uploaded to the cloud.
We have developed solution to support customer on :
- Migration data from On-Premise to AWS Cloud
- Design data warehouse on Cloud using AWS services
- Design a new Metadata for data warehouse on Cloud
- Implement CI/CD using Bitbucket Pipeline and Cloud Formation
- Integrate Power BI for data warehouse on cloud
- Integrate Power App for data warehouse on cloud
