Anmut Use Cases

Monetise your data

Overview

Transform your data into profit

With the mounting costs of data investments, it’s essential these investments either directly or indirectly bring more money in, reduce the amount of money going out, or both.  If they don’t, data will be seen as a cost to cut, rather than an enabler of growth and productivity.

We help you monetise your data assets by measuring the financial impact of your data efforts, and building business cases for data investments that demonstrate an appropriate return on investment.
$ 0 M
Every year, poor data quality costs organizations an average $12.9 million. Apart from the immediate impact on revenue, over the long term, poor quality data increases the complexity of data ecosystems and leads to poor decision making.
How we can help

A smarter way to monetise your data

Get the job done with fit for purpose data

Digital transformations and data-driven improvement programmes aimed at reducing costs or increasing revenues require a range of organisational resources, commitment, and discipline to maximise the financial value from them.

This includes having the data you need to realise the benefits. Identify the gap between the data you have and the data you need to realise the benefits of your programmes.

Deliver enhancements that customers and users really value

Using additional data to enhance core products and services can be a great way to differentiate from competitors. To realise any financial benefits, these enhancements need to result in increased sales or reduced costs.

Understand what data you need to realise these financial benefits by quantifying the value that each data asset creates for the customers or users and the cost reductions each one enables.

Sell and exchange data fairly, and with confidence 

Open data sounds great in theory, however, in practice, you’ll incur expenses to specify, collect, organise, store, and prepare the data to be shared.

Before you give the data away, you’ll want to think about the return on your investment, and what the data could really be worth to you, and to the intended third-party consumers of the data.

Before sharing, you’ll also want to make sure the data is verified as fit for purpose. This mitigates the risk of reputational damage and even financial penalty, if data consumers receive your data in poor condition.

Gain the Anmut advantage

Patented valuation methods

Not convinced by traditional data valuation methods? Neither were we, and that’s why we developed our own.

Read more about the different data valuation methodologies.

Tailored data valuation approaches based on your needs

We work with you to understand how value is created within your organisation, how data supports the activities your organisation carries out and the outcomes it aims to achieve.

This ensures the value put on the data is relevant and customised to the way your organisation operates.

Grace: Anmut’s strategic data asset management platform  

Use Grace to show your organisation’s strategic goals or transformation programmes that are underpinned by data, and how these drive increased revenue, cost reduction and mitigate risks – all forms of monetising your data.

Explore the platform.

Unique data condition methodology 

Unlike data quality, our data condition methodology provides you with a quantitative measure of how well your data meets the needs of the users.

Proprietary data profiling and measurement algorithms 

Our data profiling and measurement algorithms enable us to quickly and efficiently complete technical assessments of large volumes of data against the users’ requirements.

Customer stories

We worked with National Highways who were investing £300m in data and technology over 10 years. The CDO felt it made sense to invest 1% of that to make sure they knew what data was valuable.

As a result of our work, National Highways not only discovered that for every £2 of physical assets, they had £1 of data assets, but for the first time they had a language for the board and the rest of the organisation to communicate the strategic importance of their data.

Considering monetising your data?