Big data strategy

The term “Big Data” does not always sit well with consumers. But in fact it is nothing more than the collection of all available data on or around a certain topic. Only if this data is collated and when logical conclusions are drawn based on it, it develops meaning.

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.