Strategy

Working together we will establish a strategy which gives our customers a clear understanding of the lifecycle of their project. We make upfront plans on the following:

• Roles
• Tools
• Timelines
• Milestones
• MVP
• Deliverables
• Risks management measures
• Success measures

Previous Next: Implement

Implement

Any project, whether a report, a data collection and analysis task, or software, will touch some or all of our teams: Maths, Software development, Design and UX, Quality assurance, Product Management, Food & Nutrition. Our team functions are described below.

Maths

Our maths team’s experience spans many different domains and technologies. To understand their work we recommend you visit the analytics project process page. The models they produce are wrapped in software by our development team.

Software development

Our software team ensure that the a project is correctly broken down into into managable work packages. They work also with the client to decide how agile a project must be, that is, how much we can be sure of requirements up front, and how much we need to build first and then validate.  Projects where the end-users’ requirements are well defined at the beginning run quicker in most cases.

Design and UX

Our inhouse design team practice user centered design. We engage real users in our research. We prototype versions of the product to validate assumptions. This process is repeated until we have a final prototype before development starts.

• Research
• Prototype
• Test
• Repeat

Quality assurance

All new models and software pass through a quality assurance cycle. We practice Test Driven Development. This form of development means that the quality of your product is better and upkeep is less expensive.

Product management

We dedicate a Product Manager  to ensure the requirements accurately reflect the needs of the customer. The product manager will ultimately take responsibility for the delivery of a successful product.

Previous Next: Deploy

Deployment

Our software and modelling solutions benefit from our Expert Models platform.

Data Science Interfaces

We can quickly build out user interfaces appropriate to the data science domain, including file management systems, editors and wizards.

Scalability & Power

Our systems are built on a cloud based architecture that scales up in real time. As your usage become more intense machines activate to meet that need. For resource intensive projects this means we can control costs by reducing inefficiencies.

Security & Privacy

Our platform is cloud based. Cloud based systems are far easier to protect than on premise. Some of the reasons are:

• Strong perimeters and surveillance
• Controlled access
• Cloud solutions more often use cyber security expertise
• Thorough and Frequent Auditing

Regarding data, we can protect your data by various means such as granular view permission and obfuscation.

Previous Next: Measure

Measure

We think a lot about project metrics to help quantify the benefits to our clients and to help use improve our services. We aim to keep feedback loops as short as possible to optimise learning reinforcement. Some of the metrics we include are:

• Return on investment
• Engagement / customer success
• Education / training / on-boarding
• Retrospectives

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