You can grow your business by getting lucky. If you'd rather not depend on Luck you need to do three things:
Capture the right data then transform it into cleaned and useful information.
Put your data to work by leveraging automation and microservices, creating compounding effects.
Experiment, learn, and move forward without losing momentum.
We are here to help turn Data into Growth_
How we get started: Data Intensive
Data Intensive is a focused performance data analysis service designed to help marketing, product or top management better understand the business, discover new actionable insights, and prioritise projects.
​
Based on the client's existing consumer journey​, an understanding of current business issues​, and a few days of analysis of transaction and traffic data​ as covered by NDA, the project will:
1
-
Identify opportunities and challenges in a service's performance
2
-
Propose projects that can generate revenue right away
3
-
Refine the performance measurement framework
4
-
Find weaknesses in current data gathering practices
Here are some examples of things we've done for our clients:
Where we go from there: Pipelines, Automation & Micro-services
Build a lightweight bespoke automation system to target potential clients with the right email to prevent travel booking abandonment.
Build a ranking system and an API that re-ranks products served by the existing CMS.
Spin up a micro-service to serve product recommendations through an API.
Automate transformation and reporting process to increase business visibility of existing initiatives.
Our approach is simple: We find the shortest path to victory, circumvent the limitations of your existing legacy systems and create practical applications of data. We measure ROI and set you up for ongoing success.
Do expect_
Measurable results, no-nonsense approach to problem solving, highly competent people specialised in the field.
Don't expect_
The word "Sizzle", lock-ins, black box models, silver bullets, amazing powerpoints, lack-luster results.
We've done it at:
