Cluster analysis or clustering is a statistical classification technique or activity that involves grouping a set of objects or data in such a way that those contained in the same group (cluster) will be similar to each other but different from those in the other group. It is required for data mining and exploration, and is commonly used in the bioinformatics industry and other sectors within the scope of machine learning, pattern recognition, image analysis, and analyzing large datasets.
Data-Driven Innovation (DDI) refers to the realization of product, service or business model innovation using data analytics and digital technologies. This approach is a critical tool for companies to make better decisions, improve customer experience, and gain competitive advantage.
Dirty data refers to data that is wrong for a company. This inaccuracy not only means that the data is not correct, the correct data can also be “dirty”.
Unstructured data is unfiltered information to which a fixed editing policy is not applied. It is often referred to as raw data.
We work with leading companies in the field of Turkey by developing more than 200 successful projects with more than 120 leading companies in the sector.
Take your place among our successful business partners.
Fill out the form so that our solution consultants can reach you as quickly as possible.
By combining our 30+ years of experience and experience with the centers of excellence in our ecosystem, we prepare your organization to lead the digital transformation!
