Improve by Analysis and Modelling

Data Migration

A well managed data migration will ensure only the required information will be moved across to the new system or process. Validation and ownership must be put in place where the business owners sign off on the data when taking it over. A stakeholder must take on responsibility of the data. Because of this, communication is a key element of a successful data migration project.

Where we have done this before

Understanding the business requirement is the key to delivering the right solution.

Our services allow you to hand over the techincal aspects of data management and analysis over to us to help you focus on the business

Statistical Modelling

A statistical model takes the guesswork out of thinking there are patterns in your data. Using a statistical model, you can mathematically prove if there are relationships between elements of a dataset and if so you can assign a number to the degree of the relationship. When you model real world data, relationships are a grey area. There are exceptions to rules due to the complexity of real world interactions. Intellisolve sets up statistical models the same way as financial models, focusing on the business need first and building the model around that.

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