Our Capabilities

Integration and Automation

• We help you automate data, modelling and reporting pipelines
• We productise and package your analytics into cloud-based solutions
• We design and embed analytics processes that maximise re-usability​

Machine
​Learning

• We develop machine learning pipelines to answer your key business questions
• We build platforms to scale your machine learning models
• We package machine learning models into API services for re-use by your business

Digital
​Interfaces

• We build hosted or self-hosted data products
• We build cloud-based applications for data entry and management

Change
​Management

• We help you align your analytics capabilities to your business objectives  to ensure you are driving value with your data
• We help design and organise a team that is aligned to a common vision and roadmap

We craft lasting solutions to your data problems

We work with many analytics and programming languages with a focus on open-source languages, e.g:

• Python for data engineering and machine learning
• Django for back end web development
• Alteryx and Knime analytics workflow tools
• Databricks, Heroku/Azure for cloud-based data and ML solutions

• Tableau and PowerBi for visualisation

Our objectives when working with you

1. Prove the value quickly; through fast prototyping and business case building
2. Throw nothing away; analysis, models, tools and documents are built with re-usability in mind
3. Up-skill your team; our collaborative approach and work ethic maximises up-skilling opportunities for your own teams

Our areas of expe​rtise:

• Machine learning pipeline development
• Web data interfaces (input, management and visualisation, APIs)
• Sales, demand modelling and forecasting
• Commercial and pricing analytics
• Data visualisation
• Organisational (analytics operating models, roadmaps and service catalogues, processes and methodology, training)

Who we are:

Founder, Chris Pike
[email protected]
www.linkedin.com/in/christopherjpike/

• Chris has over 10 years experience in data and analytics, including machine learning and web development
• He was previously at Deloitte in their analytics and data science team and has worked with global businesses in the consumer, travel and finance sectors
• Prior to this, Chris specialised in pricing and commercial analytics for consumer and retail clients
• Chris belongs to a professional network of former top tier consultants (Umbrex/Veritux Consultant Network) from which additional consultants can be sourced to best suit specific client needs and project specifications

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