Believe it or not, big data is the new gold. Poured into the fuel tank of the automotive industry, it is transforming itself into growth booster, creating new services and users` benefits. The core focus of big data and cars is not just autonomous vehicles, it is about humans and how they use their cars on an amazingly granular level.
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.
St. Valentine`s Day and Data Analytics
Love Is All Around is a nice song and always will be. Originally it was recorded by The Troggs but Wet Wet Wet is the band which made it famous. Radio stations will play it all day long during St. Valentine`s day. Hey, wait! Would they?
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.
Top 5 areas to apply data analytics in coffee shops
Up to date, we`ve discussed broadly what are the benefits of data analytics applied to a small, family-run businesses like coffee shops, restaurants, cake shops, etc. In this particular blog post, we are going to cover the areas where data analytics mathematical modeling can be applied if you are the owner or manager of a coffee shop. Stay with us, this is going to be useful.
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.
We removed Data Studio limits based on your feedback. We’d love to hear what new integrations you’d like to see: https://t.co/wRgjTfARYe
— Google Analytics (@googleanalytics) February 2, 2017