Only correct analysis of the correct data provides strategic insights. First of all this requires that your company data are of the highest quality; otherwise it will become “garbage in, garbage out”. But in order to properly capitalise on the benefits of big data, you will have to structure the data flows: a proper Big Data strategy starts with organising your data. Only when this is properly taken care of, will you be able to make a clear analysis.

This, however, is the main challenge for many large businesses. Over the years different systems have been implemented and various stand-alone applications – all with their own unique database – have grown together almost organically. How can you structure this? How do you make these systems communicate with each other? Which analysis tools will you use? Which e-commerce system fits in best? How does it relate to the rest of your IT-architecture? Tauros has the answers to these questions.

Big data strategy also entails thinking about IT-problems relating to the available capacity. Can large quantities of data from different systems be properly processed mutually? For example: Magento is not an ERP system. Large international companies use heavy SAP systems with various price calculations that produces large amounts of data. This cannot just flow into a web-shop directly.

To process these large quantities of data a so-called middle-layer solution (ETL-process) should be developed that makes sure that all runs well and smooth. We have a lot of experience with this as well and are happy to assist you with it.