Data Engineering & Analytics

Right-sized tools for your budget and use case
There are multiple data analytics and engineering tools. Given our breadth in working with these tools, we will advise on the best choice given your budget and use case.
Our approach utilizes tools that are intuitive and easy to learn, allowing motivated employees to quickly adopt and benefit from automation.

Our go-to data tools

Pipedream is a cloud-based integration platform that allows the easy integration of applications with Application Programming Interfaces (API).

It is easily customisable and extendable for developers to add in custom programming scripts to suit more complex integration use cases.
Google's fully managed, serverless data warehouse that enables scalable analysis over petabytes of data.
Learn more about process automation
Power BI
Power BI is an interactive data visualization software product developed by Microsoft with a primary focus on business intelligence.
Learn more about process automation
Looker/Google Data Studio
Looker Studio, formerly Google Data Studio, is an online tool for converting data into customizable informative reports and dashboards
Learn more about process automation
Featured Case Study

Fast food chain based in Malaysia

Realtime decision making with Power BI Dashboard
In today's fast-paced business environment, making data-driven decisions is essential for success. To support this, we implemented a Power BI dashboard for a fast-food chain in Malaysia.

Our solution automated the extraction and transformation of data from their Point of Sales system using Pipedream, which was then piped into Google Bigquery. This data was then visualized in real-time using Power BI and refreshed daily.

This allowed the management team to have a timely and accurate overview of their business performance, enabling them to make more informed decisions.
MOre about this service

Pilot projects are hard to get off the ground. We also provide implementation services to ensure that best practices are adopted.

Step 1
Work with organisation to identify data use cases and audit data sources to determine if use cases can be fulfilled.

We start by brainstorming data use cases with your organisation.

We then study the data sources in your company and work out the feasibility to achieve each of the use cases.

Step 2
Scope a pilot to deliver quick outcomes

We start by identifying data outcomes that are high impact and easy to execute. We do so to achieve quick wins so that stakeholders and end-users are convinced that the data products can be used for their day to day work.
Step 3
Full roll out of data solution and training end-users to be power users.

Only after succeeding in the pilot project, we will continue with the full roll out of data solutions.

We can also train users to be proficient with the analytics tools and to be enpowered to create their own solutions.