Our Pricing

Disclaimer: We have over 150 different solutions, and a typical project usually involves more than one solution, so there’s a good chance you’ll be curious about one that isn’t on this page. We're happy to share pricing guidance, just fill out the form at the bottom of this page and one of our team will get in touch with the pricing information for your unique situation.

With that said, here is a pricing and fee guide for popular data analytics solutions from Datamine .

How much does an Analytics Roadmap cost?

Factors that determine the price for an analytics roadmap:

Programme management

How many interviews and/or meetings are required
What stage of the process you’re at (e.g. have you already got a Data Strategy?)
Your business direction
Your challenges and opportunities
The level of detail you want in the roadmap

Real-life analytics roadmap example: Datamine had a customer that had begun doing analytics but was hitting road blocks - they needed help to understand what to do to see value to the busines. The project involved a group workshop with six individuals, including the Chief Executive, Head of IT, Analytics Manager and BI Manager, to agree objectives and ensure alignment. From there, we looked at their data, past projects and the value they had added. The Datamine team then worked to create a roadmap and supporting presentation for them to use as a framework for future analytics initiatives.

Analytics Roadmap Price: $45k

Further reading: Data Strategy vs. Analytics Roadmap: What's the difference?

How much does a Data mining & Knowledge Discovery project cost?

Factors that determine the price of a Knowledge Discovery project:

The size of your customer base
The amount of data work required
The types (and complexities) of questions you’re interested in
The amount of external information (market share) you want to include in the analysis

Real-life data mining example: An insurance client had completed some market research and wanted to understand the data behind the results, such as who their customers were, the products they were interested in and their overall market share. We held a three-hour workshop with eight people mainly from the marketing team, answering these (and other) business questions before writing up a statement of work. The team raised additional questions, some of which were easy to answer and others which needed complex analysis. The next step was cleaning the data and creating a single customer view using information from three different customer bases. Once we had finished the analysis, we presented an executive summary to the client.

Data Mining And Knowledge Discovery Price: $140k

Further reading: Striking gold: What can data mining really do for marketing?

How much does Marketing Automation as a service cost?

Factors that determine the price of marketing automation:

How much data you’ve got
The complexity of marketing automation you want to execute
The amount of logic you’ve got in your data (and how much you want in future)
The internal training that will be needed (how many people and their expertise)

Real-life marketing automation example: Datamine worked with a client in the tourism industry who already had web and email functionality, but they wanted to be more sophisticated with their marketing campaigns and practices. The team members involved, primarily from the marketing department, had evaluated several different automation platforms and decided to work with Datamine to implement the one that best suited their business needs. The client already had a single customer view, so we worked with them to implement the new software and have continued providing ongoing support to the team and maintenance of that system.

Marketing Automation As A Service Price: $35k per month

Further reading: What your marketing automation provider failed to tell you about its platform

How much does it cost to develop an Analytical Application?

After completing analytics projects the results can be operationalised using an analytical application. Apps enable the analytics findings to be implemented across business functions using custom coded app software.

Factors that determine the price of a bespoke analytical app:

App design
Data form quality
Input information complexity
UX styling and user friendliness
How much testing you want
How iterative you want it to be
How important ‘real-time’ updates are

Real-life analytics app example: A banking and finance client needed an analytical pricing application to analyse and update their prices in real-time for front-line staff. Their sales team had some basic reporting and predictive tools (mainly in Excel) but couldn’t enable real time pricing for their financial product. The client engaged us to build several models that could take inputs from customers, calculate the exact pricing for that situation and create a proposal in real time to roll out across hundreds of staff via a web portal.

Bespoke Analytical App Price: $400k+

Further reading: Need a unique business application? Bespoke > Enterprise

How much does a Datamart creation and data cleaning project cost?

Factors that determine the price of creating a Datamart:

The number of data sources
Data messiness
The level of involvement and experience of
your team
What you’re trying to do with the Datamart
How much logic is needed to get the end result you want

Real-life datamart example: A supermarket chain wanted better visibility and access to its data, and a customer-centric view across multiple loyalty programmes for one of their brands. The project involved hundreds of different stores, hundreds of thousands of product lines and millions of customers – all spread across multiple data sources. The creation of the Datamart involved their Product, Marketing and IT departments coming together in a workshop to discuss, scope, design, build and maintenance of the datamart that would enable them to deliver the project.

Datamart Creation And Data Cleaning Price: $180k

Further reading: Get Data(s)mart: 3 reasons your business needs a Datamart

How much do Predictive models, AI & Machine Learning cost?

Factors that determine the price of a predictive model or AI application:

What you want to model or apply algorithms to (and why)
How much data will be involved
The algorithm complexity
The importance of real-time capabilities
The change needed within the models and/or AI application over time
How much learning the model does on its own
Whether the model needs to be operationalised

Real-life predictive model example: Our client came to us with some existing customer credit scoring information that they’d designed in-house using external data. It was producing sub-optimal results, so they wanted a more user-friendly and adaptable system that would improve the accuracy of predictions. The project involved a client team workshop, receiving and analysing the data, building the models, designing the systems and then implementing them.

Predictive Model Price: $70k

Real-life AI example: A client wanted to be able to recommend content for customers to read in the form of a programme that would continue learning from each interaction over time to deliver updated, relevant recommendations. Datamine built the recommendation engine and the client's internal infrastructure team implemented it across their platform. The machine continuously provides recommendations through their channel to customers, improving the overall customer experience.

AI Recommendation Engine Price: $60k

Further reading: Datamine's Guide to Predictive and AI Modelling Process