Advanced analytics is all about using advanced techniques and methods to analyse data in a deeper and more comprehensive way than traditional data analysis. This includes using advanced mathematical and statistical techniques, machine learning, and artificial intelligence to find patterns, predict future events, and draw conclusions from data. It can also involve creating predictive analytics, such as predicting sales development based on historical sales combined with other variables.
We enable your organization to get a more holistic view of your data and to discover opportunities that were previously not possible to discover. It can also help you make well-founded decisions at a higher level, improve your processes, and increase your competitiveness.
A data scientist works with other team members, including data engineers and architects, to develop advanced solutions that can help organizations leverage their data more effectively. They work with large amounts of data, have expertise in mathematics, statistics, programming, and machine learning, and work with languages and tools such as Python, R, Java, TensorFlow, Keras, NLTK, and Gensim, among others.
