Customer Analytics

In a world where Big Data is hyped, all data is digitally accessible, and data sources are endless, utilizing your data in the most effective and streamlined way is what can keep you competitive. This is the core in “analytics”.

At ag analytics, we work with the integration and optimization of data usage across all sources. We see a large unexploited potential in integrating data and making it accessible, to ensure all employees have access to the relevant information they need when they need it.

Transparent business intelligence

We do not believe that the solution to this problem can be found in large, complicated CRM systems, but in transparent procedures that provide employees, such as account managers, with relevant information sent to their phone the very second the customer enters the shop.

Exploit all data sources

The volume of data is endless. It can be collected from your own sales data and CRM systems, surveys, data files, and social media. With this much data available, the key to using it successfully is to focus your actions so that your final conclusions stay relevant and transparent.

Sales modelling

One of the obvious ways in which companies can exploit their data is by making predicative analyses of their sales. In these sales modellings we typically use machine learning, advanced statistics, and econometrics to be able to predict sales and hereby deduce the most important drivers.

Data visualization

One of our core competencies is to create transparency around the process. That is why we always visualize the result in a simple and understandable way. A tool for doing this could be designing a GIS tool, which uses geodata to visualize the company’s financial potential across all zip codes in the country.

A tool could e.g. be designing a GIS tool, which uses geo data to visualize the company’s financial potential across all zip codes in the country.

Everybody knows that the Customer Experience is the heart of the business – but what is the actual impact?

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How we helped a large B2B supplier in really understanding how they are performing, when working with indirect sales channels

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How to make sense of your unstructured data

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