Monthly Archives : February, 2017

Actionable Data Analytics: 3 Different Approaches in Strategy Optimization

Strategy optimization (SO) is a key process, which provides a substantial growth for retail and utility companies.

Generally the application of SO is directed to campaign management – helping the organizations to interact in a better way with their customers. The most popular optimization goals are increase of the revenue, popularity or customer loyalty, reducing the taken risk and so on. The multi-strategy optimization is also an option, where a balance between contradictory objectives is investigated, like the fine tuning between profit and loss.

When the Algorithms Turned Out to be Designers

If you planned a trip of any kind in Hamburg there is a must stop location. This is a brand new concert hall, the Elbphilharmonie or Elphi as the locals calls it. For sure, this building will become part of Germany`s top examples of modern architecture. It is beautiful and full of surprises like the Escher-like stairways and the curvy elevator. The most interesting of them is the auditorium, the largest of the three concert halls in Elbphilharmonie which is designed like a coral reef. It looks almost organically and we say almost because it is perfectly symmetrical.

How Predictive Analytics Knows When You Are Going to Quit Your Job

Predictive analytics is full of tools and approaches enabling it to reveal key insights in almost any area. We already discussed the impact of Data Analytics in HR and we are delivering further.
Recent blog post by Toshi Takegushi, part of MathWorks team reveal in an interesting and comprehensive way how a predictive analytics model can be triggered on job-related data sets for scoring which employee is planning to quit its position. He relied on machine learning algorithms for predicting future events by utilizing historical data.

Artificial neural networks and credit risk modeling

In this blog post, our chief scientist Alexander Efremov PhD. is discussing the application of direct and recurrent artificial neural networks (ANN) in some methodologies for credit risk models.

Inputs of ANN could be the available individuals’ characteristics, like age, income, marital status, credit bureau data, etc. The outputs are the probability the applicants to have a good performance as loan-holders, the individuals’ response to some actions, etc.

Google Data Studio Now Available for (Almost) Everyone

Google just surprised the data savvy community by withdrawing the limitation of 5 reports created within the free trial in their Data Studio product. The change was announced by Nick Mihailovski, product manager for Google Data Studio, in a recent blog post and via the official Google Analytics Twitter account.