Advanced analytics

Advanced analytics is the most spectacular topic of analytics. Actually when you hear about analytics, big data, cyber-analytics or any similar fancy topic in the news you hear about advanced analytics.

The most exciting in advanced analytics are the unlimited possibilities.

With the advent of devices that are producing data night- and day the data available to be analysed has grown immensely. Think about your smartphone, your fitness-tracker, your laptop, your social media accounts, your browsing habits just to mention a few you might be using every day.

Also most of the machines we are surrounded with are full of sensors that produce digital data in good quality. Just think about cars, trams, buses, thermometers, smart homes, smart meters.

To analyse data with statistics is not new. Artificial intelligence, neural networks and learning algorithms are also not new. What is new is using huge exact datasets instead of using samples. This allows advanced analytics to provide unbelievably exact results.

How we help?

Advanced analytics tasks are usually are embedded into some other project – e.g. data strategy, process analytics, data visualisation etc. This also means that our approach is a composition of the embedded and the embedding methodologies.

Below please find some examples to give you an idea of the possibilities:

  • Recognition of handwriting and extracting the information for further processing as stand-alone solution or within an RPA project
  • Recognition of forms (e.g. an application form with hand-written information) and processing the form in a digital way
  • Predicting of lapse and churn probabilities
  • Reverse engineering business processes based on process input and output with artificial intelligence – to open up black boxes
  • Deciding automatically if similar client records are really depict the same person
  • Checking validity of stamps
  • Predicting results of social processes e.g. votes
  • Analysis of flows/networks (e.g. money flows of a multinational holding) to optimise money transfer costs
  • Analysis of texts – detecting connections between articles, web posts, etc.
  • Check text for plagiarism
  • Linking textual information (e.g. tax regulations of several countries) with each other

As stated above the possibilities are practically endless. Please contact us if you would like to know more.