Connect. Analyse. Automate. Visualise.
A well-designed data platform enables the business: from cost center to profit center.
Understanding the business use case, the data sources, the governance, the tech stack available, the modelling options and the downstream consumers.
- Trust is earned in drops, and lost in buckets.
- Modelling is still very much needed.
- The modern data stack continues to evolve, from on-prem to cloud to hybrid.
I'm yet to find a project where "data is ready". More often than not, data will need to be extracted, transformed and loaded before it can be used to make the critical decisions that need to be made.
Databases provide a centralized, curated datasource, whereas flat files provide with flexibility to regular business users. Cloud solutions abound, and API are just one click —or a few lines of code— away.
Crucially, automation of repeated processes decrease human error while freeing up business resources.
We specialize in handling all of of the above while maintaining handover to business user painless.
The goal of the visualisation is to help decision-makers take the best course of action.
It is critical to understand the actions available, the question asked and the limitations of the data. Only with that information in mind can we then choose the proper chart type, the overall dashboard design, interactivity, alerts, schedules and all the UX/UI. These three pillars will get us half the way:
- Communicate often. Understand the business context.
- Fail fast. Sketch and prototype. Obtain a minimum viable product.
- Iterate. Incorporate feedback and plan the new releases.
Make data available. Flat files, APIs, databases, or wherever you store it.
Combine, merge, route, enrich, automate everything.
Find patterns, predict trends. Reports and dashboards.
Insights are as useful as the decisions they trigger.
Explore more about what we do or read some of our latest thoughts.
Let's talkWe are more than just some numbers. Yet, some numbers can give a glimpse of who we are.
SnowPro Architect. A cloud based modern warehouse with split storage and processing. SQL.
dbt developer and Cloud Admin. Data Build Tool applies the principles of software engineering to analytics code and allows full control and lineage of SQL flows.
A robust data model built on top of solid data pipelines for a self-service analytics experience.
The industry leader in data visualisation. With a myriad of data connectors and the power to harness massive datasets
Designer Advanced. Pioneering the Analytics Process Automation to deliver end-to-end automation of analytics .
A general programming language with extensive additions oriented to data analysis, predictive and prescriptive analytics.
Fivetran certified. A SaaS solution that facilitates data ingestion and scales.