Turn your data into profits.

What sets us apart? We focus on the quality of the decisions we enable. It’s all about your business goals. Expect to unlock profitability from data you didn’t even know you had.

Our services

Curious about our services?

BI dashboard and reporting

We always start with identifying use cases that truly add value. From there, we craft a plan that syncs perfectly with your business goals, ensuring every move we make counts towards making a real difference in your organization.

Data management and beyond

We can assist with data governance, architecture, integration and storage. Pre-built components and our own template let our team deliver more in each print - that is the perk of having such experienced data workers on board.

Advanced analytics

Amidst the machine learning and predictive analytics buzz, it's easy to overlook the true power of predictive analytics - informing decision-making. Instead of measuring success solely by the accuracy of predictions, we focus on the quality of decisions they enable.

Analytics solutions

We've built analytics capabilities for different domains

Public sector analytics

900+ reports used by national leaders and local leaders across 6 verticals

  • Public investment
  • Natural resources & Environment
  • Home affairs
  • Transport
  • Public security
  • Education
Banking analytics
  • 360-degree customer view
  • Lending retail
  • Risk management
  • Wealth management
Ecommerce analytics
  • Ecommerce analytics
  • Sales & product analytics
  • Customer segmentation
  • Demand analysis and forecasting
  • Inventory optimization
  • Data-driven recommendations on optimal product pairing promotion activities
Manufacturing analytics
  • Manufacturing analytics
  • Production planning optimization
  • Real-time monitoring of processes and assets
  • Equipment predictive and preventive maintenance
  • Inventory optimization
  • Insights to supply chain management activities
Transportation analytics
  • Operational capacity planning and optimization
  • Predictive analytics for vehicle maintenance
  • Route optimization
  • Vendors management
F&B analytics
  • Customer segmentation
  • Menu optimization
  • Cost control for each restaurant
  • Marketing analytics
  • Employee performance management
Financial analytics
  • Monitoring revenue, expenses, and profitability
  • Profitability analysis and financial performance management
  • Budget planning and formulating long-term business plans
  • Financial risk forecasting and management
Supply chain analytics
  • Inventory optimization and management
  • Supply chain visibility and transparency
  • Route optimization
  • Demand forecasting and planning
  • Supplier performance analysis and management
Sales analytics
  • Sales channel analytics
  • Product performance monitoring and analysis
  • Sales performance analysis
  • Customer segmentation and targeting
  • Pipeline analysis and forecasting
Marketing analytics
  • Campaign performance tracking and analysis
  • Customer journey mapping and analysis
  • Market segmentation and targeting
  • Return on investment (ROI) analysis for marketing initiatives
Customer analytics
  • Customer behavior analysis and segmentation
  • Customer lifetime value (CLV) analysis
  • Customer satisfaction and sentiment analysis
  • Churn prediction and retention strategies
HR analytics
  • Employee/ department performance monitoring and analysis
  • Workforce planning and talent acquisition
  • Employee engagement and satisfaction analysis
  • Predictive analytics for attrition and retention

Impactful collaboration

Together we make an impact.

Navigating development risks

Software should be a catalyst, not a burden.

Flexibility, risk reduction, and higher quality are our promise.
7 6 5 4 3 2 1 7 6 5 4 3 2 1
Start of the project
Use & arrow keys
(or click on the spots to play)

Discovery & planning

  • Define project objectives and requirements.
  • Identify data sources and establish quality standards and security protocols.

Data exploration & design

  • Explore and analyze available data sources.
  • Design data models, algorithms, and visualization strategies.
  • Establish data pipelines and integration processes.

Iterative development

  • Implement data processing pipelines and analytical models.
  • Continuously refine and enhance algorithms based on feedback.
  • Collaborate closely with stakeholders to ensure alignment with evolving business needs.

Testing & validation

  • Conduct rigorous testing of data pipelines, algorithms, and visualizations.
  • Validate results against known benchmarks and real-world scenarios.
  • Incorporate feedback and iterate as needed to improve accuracy and reliability.

Deployment & evaluation

  • Prepare data solutions for deployment in production environments.
  • Monitor system performance and user feedback post-deployment.
  • Evaluate the effectiveness of the implemented solutions against predefined success metrics.

Review & adaptation

  • Demo and review project outcomes with stakeholders.
  • Gather feedback and insights to inform future iterations.
  • Iterate on the project based on lessons learned and evolving requirements.

Next iteration

Delivered to client

1

Discovery & planning

  • Define project objectives and requirements.
  • Identify data sources and establish quality standards and security protocols.

2

Data exploration & design

  • Explore and analyze available data sources.
  • Design data models, algorithms, and visualization strategies.
  • Establish data pipelines and integration processes.

3

Iterative development

  • Implement data processing pipelines and analytical models.
  • Continuously refine and enhance algorithms based on feedback.
  • Collaborate closely with stakeholders to ensure alignment with evolving business needs.

4

Testing & validation

  • Conduct rigorous testing of data pipelines, algorithms, and visualizations.
  • Validate results against known benchmarks and real-world scenarios.
  • Incorporate feedback and iterate as needed to improve accuracy and reliability.

5

Deployment & evaluation

  • Prepare data solutions for deployment in production environments.
  • Monitor system performance and user feedback post-deployment.
  • Evaluate the effectiveness of the implemented solutions against predefined success metrics.

6

Review & adaptation

  • Demo and review project outcomes with stakeholders.
  • Gather feedback and insights to inform future iterations.
  • Iterate on the project based on lessons learned and evolving requirements.

7

Next iteration

Proven track record

And it just seems to work.

Here's what hard data and our clients have to say.
Clutch top BI&Big data company
5.0 / 5
recognized as Top BI & Big Data company in Vietnam 2023 by Clutch.
Top 1%
Microsoft Partner in Data Analytics since 2020
We are impressed by how the staff quickly understand our data and transform it into actionable insights. Synodus also goes the extra mile, giving further useful recommendations and advice
Feng Wei
CEO, Smart Channel AU
Project management, their professionalism and dedication made sure we hit deadlines and delivered quality work on time.
Gonzalo Manuel Quevedo
Demand and Operations Planning Manager, Boody
The script works perfectly well. You're a life saver.
Nicholas Gao
Strategy & Market Research Manager, BOC Aviation
The Project Manager's flexibility, professionalism, and understanding of the product were excellent & it led to make successful product on time with great quality.
Jinny Park
Product Owner, Arctx Solutions

Let's talk about your project.

The goal is to get you the best team of engineers in the shortest time and start delivering real business value.

01

Expect our representative to contact you within 1 day to discuss details about your goals, needs and constraints.

02

Our senior business analyst and technical lead will analyse the requirements and architect a tailored roadmap.

03

Get a detailed proposal with our technical assessment within 5 working days.

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