We are an end-to-end consultancy which allows for flexibility and adaptability when solving business problems
Our data strategy services provide a foundation for informed decision making. We help clients transform data into an operational and strategic asset that supports business goals and overcomes challenges.
We design data systems and operational frameworks to collect, store, and process data. Utilising AI, ML and APIs we build smart and efficient data pipelines which can be integrated into your physical environment or cloud based solutions.
Our team are data storytellers. We look behind the what to the why to understand what is driving trends and behaviours. We surface information that is important and actionable to our clients so they can make positive change for their business.
We build customised, dynamic data tools which help your business access key information. DOT’s approach combines best practice UX and design principles with leading data science. Our team delivers high value insights that are easy to digest and intuitive to use.
DOT have developed sophisticated benchmarking and evaluation tools to measure the performance of your business, programme initiative and success of your campaign.
DOT has a dedicated in-house design team who excel in telling data stories through graphic means. We develop tangible data assets for our clients to help engage a broader audience through a SIMPLE. SMART. BEAUTIFUL approach.
Our data rich insights will help you develop strategies to target your most profitable customers, serve existing customers better through more tailored experience, and win new ones through identified market and marketing opportunities.
DOT’s predictive modelling allows businesses to make confident decisions for the future which are powered by trained AI and ML algorithms. This forecasted view can be tuned to identify business risk, predict demand and supply as well as performance indicators.
Reduce manual data processing and manual interventions to drive efficiencies for your business. Through AI and ML programming, we can automate the decision making process.
Extend your team’s capabilities by plugging in one of DOT’s Data Science consultants. We can work with you to determine the problem to solve, gather momentum on project initiatives, manage complex modelling and conduct in depth data analysis.
How DOT enabled Kiwi Wealth to identify customers who are at risk of churning
Kiwi Wealth partnered with DOT to tackle customer churn in their Kiwisaver business by creating a churn model that could identify customers at risk of leaving.
How DOT assisted the Ministry of Education to improve its reporting process
This case study highlights how DOT assisted the Ministry of Education to improve its reporting process by creating a simple and effective template for its quarterly reports.
How DOT projected community populations into the future
DOT helped the Nelson and Tasman councils in New Zealand develop customised population projections to understand how the population of the area would change over the next 40 years.
How DOT identified potential Maritime incidents before they happened
DOT ran AI across past Maritime incidents to understand what contributes to incidents, and to predict where they may occur in the future.
How we put the customer at the centre of Kiwi Wealth’s business
DOT created a segmentation algorithm to help Kiwi Wealth understand customers as more than just a number.
How DOT increased efficiency by 50%
DOT worked with NZTE to automate some simple decisions. This meant clients received their funding faster, and NZTE staff workload reduced.
How DOT helped Sky double their share price
DOT has worked with Sky TV since 2019 to help realise their vision of becoming a truly customer and data-led business. This has helped Sky to provide the best service to their customers.
How DOT helped MfE achieve real-time carbon emissions reporting
Dot Loves Data was commissioned by the Ministry for the Environment to create a Carbon Emissions Dashboard for their internal reporting. The goal was to improve workload efficiency, scale carbon emissions reporting across the organisation, and provide greater transparency around MfE’s carbon emissions.