Consulting

We make innovation real. We think about innovation as a muscle that we can help you locate, and then train to battle strength. By working with us, you also join our global community of innovators at Red Dot, ​and play amongst industry thought-leaders and practitioners.

Innovation Sprints

How do you make sure your new innovation is something your customers or employees want? Developed by Google Ventures, an innovation sprint combines best practices in business strategy, customer development, behavioural science, and design facilitation, to increase speed-to-value of new innovative ideas.

• A proven methodology to go from idea to a tested prototype in 5 days
• Trains up a cross-functional team in rapid innovation methods
• Promotes out-of-the-box thinking and hundreds of ideas
• Interview real customers to gain real data and insights

Agile Implementation

Following the innovation sprint, we guide you at every step of the journey, coaching your teams with the mindset and process to launch within 3 months through an agile process. Core to our ability to think big and launch fast, is our pool of experienced implementation partners spanning agile software development, user experience, data science and lean marketing.

• Launch a minimum viable product in a month
• Adopt agile project rituals within your implementation team
• Build internal capability to launch digital products in rapid iterative cycles

Robotic Process Automation

RPA is the automation of complex, repetitive tasks. Imagine the job of receiving an email, filling in forms, entering data into an ERP, or issuing a customized contract, all done automatically by rule-based software "robots".

• Eliminates human error to ensure extreme accuracy and consistency
• Provides faster cycle times and service times
• No sick leaves - works 24/7 without interruption
• Frees up time for your employees to do more value-adding work, improving employee morale!

Data Science

Data science is a series of mathematical, computation, and visualisation techniques, using data that you already have to yield insights that help you make smarter decisions about your business. Some applications:

• Optimisation: When should I restock to maximize my profit?
• Risk Reduction: Is this transaction fraudulent?
• Categorisation: Is this customer likely to stop his subscription?
• Recommendation: What would this customer enjoy, based on past purchase behaviour?