Europe – Americas - APAC 志 (2027)
APAC 志 (2027)
We are excited about the scale and diversity of ecommerce in APAC including China and Indonesia with their world leading ecommerce penetration rates. Whilst we operate globally through our offices in Europe and the Americas we are planning an APAC office from 2027: watch this space Shanghai!
我哋對亞太地區嘅電子商務規模同多元化感到興奮，包括中國同印尼，佢哋嘅電子商務滲透率係世界領先嘅，而我哋透過我哋喺歐洲同美洲嘅辦事處喺全球營運，但係我哋計劃喺2027年開始開設亞太地區辦事處：留意呢個上海嘅空間！
What do you want to do today?
Drive faster and more profitable growth….
1.
We launch complex and revenue driving online changes in days: if you would like to host a live demonstration of our technology on your website – we will take a high-impact opportunity from your site and implement it in 3 days REQUEST DEMO
2.
If you would like to read more about the impact of our work and how our clients describe working with us, read our client stories
3.
The way in which large enterprises drive growth and innovate in digital and online is broken. Our Philosophy details the exploration we have undertaken including some of the architectural choices we have implemented to enable clients to view existing technology as an asset to power growth
Develop your career from wherever you are based
We are always looking for curious people to join our business. See our ‘Join Us’ page for current opportunities. If you would like get a sense of who we are as a team of developers, musicians, mathematicians and entrepreneurs, view our team
Contact Us
Get in Touch through email or phone to one of our offices in UK or the US
Business Intelligence
What we do
BUSINESS INTELLIGENCE
Make smarter decisions through better use of big data.
Utilise existing data more efficiently and effectively to measure the cost of inaction and establish a truly data-driven approach.
The Challenge
In data, quantity can be more important than quality but organisations risk data-blindness, struggling to understand performance due to the sheer volume of data available and a lack of processes that make data actionable. This disconnects the organisation from their data and impairs decision making which in turn limits growth.
Our Response
We approach the challenge of big data by:
Aggregation
Working with existing data teams we aggregate the data sets necessary to answer a commercial question, for example “what is the ideal discount?”. This may include data sets from various platforms and organisational siloes.
Analysis
We produce a rich analysis of performance using the aggregated data sets, this includes the production of new metrics and measures across data sets to provide additional insights into performance.
Modelling
We produce models that predict the commercial opportunity associated with innovating the proposition, for example “what is the value of free click & collect?”.
Innovation
Our analysis and modelling provides the framework for innovation of the proposition (discounting, delivery, returns etc.) with the impacts of these innovations being captured and reported within the model.
The Output
A bespoke analytical and commercial model that allows organisations to better understand and respond to shifts in customer behaviour and performance.
