Data are the raw material of the future because they contain valuable information which is not necessarily obvious at first glance. Due to the large volume of product, customers, and other (often unstructured) data, the underlying patterns easily get drowned out in the sheer mass. However, the right analysis mechanisms make it possible to detect them and use them in a targeted manner in order to achieve a decisive competitive advantage. This is exactly what Big Data is about.
In many ways, Big Data projects look like the famous search for the needle in the haystack. Only that it is not always clear what the needle even looks like. Not to speak of the haystack. Would you know off the top of your head what information is hidden in all of your data? Where you could start the search for it and what analytical methods you could use? These are precisely the questions that must be answered when starting a Big Data project - and this also pays off for you!
Together with you we determine what information could be important to you and where to find it. Our experts have the necessary know-how: in addition to many years of industry experience, we also bring analytical skill and experience in cooperation with a leading research institute in terms of Big Data to the table.
We can find your "needle" – and you can use the edge this gives you for your Company.
How do I start a Big Data project? Current studies show: the majority of companies considers a Big Data project to be possible in the future. However, many companies hesitate in starting a specific project. The reason for the hesitation is assumed implementation barriers and obstacles which many expect. We help you in four steps to set up your Big Data project. more on this less
Step 1: Workshop – what can Big Data do and what not?
We will hold an initial workshop with your employees to explain the basics of Big Data. We develop the first scenarios from your environment and thus create the foundation for a successful Big Data Project.
Step 2: Analysis of data and flows of Information
We look through and analyze your data inventory for potential patterns and select the necessary data sources. We verify whether external data sources need to be used. In this process, we particularly pay attention to data protection concerns.
Step 3: Proof of concept
As a proof of concept we create a model of a specific scenario and thus show how Big Data can create added value - and thus competitive advantages. The implementation barriers and obstacles have thus been removed. You now have all information in order to make a serious decision of what your Big Data project will look like.
Step 4: Implementation
Based on a suitable infrastructure, we implement your Big Data project. You employees will be further trained during the project in order to be able to recognize new scenarios in the future and gain valuable information from data independently.
These four steps enable you to use the Big Data concept in your Company.
What data are relevant for my Big Data project? Data sources with valuable information A large variety of data is available in every company. This data often contains valuable information in the shape of patterns which exist but are not immediately visible and recognizable. In particular a combination with "public data" e.g. from forums, networks, communities, or other sources can result in combinations and patterns which provide valuable new information. more on this less
Relevant data sources could be:
What analytical methods and models are there? Methods and models for pattern recognition Data mining turns your data into usable information. We help you select suitable methods. more on this less