What is Data Science
Data Science is a multidisciplinary field that focuses on finding actionable insights from large sets of structured and unstructured data.
Data Science experts integrate computer science, predictive analytics, statistics and Machine Learning to mine very large data sets, with the goal of discovering relevant insights that can help the organisation move forward, and identifying specific future events.
Extract knowledge and insights from raw data
Information from administrative processes, often structured data recorded in relational databases, is ideally suited to be analysed by means of Business Intelligence tools.
In order to gain deeper insights, however, organisations are increasingly collecting additional, often unstructured data from both internal and external sources. An example of this is marketing information that maps customer characteristics, structures (online) behaviour and aggregates it into customer profiles. This can also be done with log information from machines, photos, social media messages, etc.
As data collection becomes broader and more complex, the application of specialised Data Science tools is necessary. Although the development of Business Intelligence software in this field is evolving, the functionality offered is insufficient for many Data Scientists.
Data Science Project Lifecycle
In order to ensure a good end result, a Data Science project must go through a number of predefined phases, which are specified in the so-called Data Science Project Lifecycle model. This model provides clear guidelines for and insight into the work to be performed within the project.
Our Services
We support our customers with our expertise on applying computer science, predictive analytics, statistics and machine learning to mine very large data sets, in order to identify specific future events.
Advanced Analytics
Machine Learning
Streaming Analytics
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