News

Publications, Events, and Changes at mayato

After Work #mayatoTalksData – 10th January 2019 in Vienna
11. Dec 2018

“Applied Magic: Real Data Science Solutions in Practice” is the topic again of our next after-work event #mayatoTalksData on 10th of January 2019 in Vienna. We would be happy to welcome you between 7 and 10 p. m.. Attendees get the chance to network with mayato and other attendees over tasty drinks and snacks. The attendance is free of charge.

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mayato to Present at stackfuel Data Science Meetup
28. Nov 2018

Leitung Analytics bei mayatoJoin our expert Caroline Kleist, Head of Analytics, on December, 13th 2018 for a Data Science Meetup at HeyCar in Berlin. Caroline will present “Applied Magic: Real World Data Science Solutions in Daily Action“.

Interested participants can look forward to three exciting presentations on use cases in the field of data science from various industries and another surprise from 7 p.m. onwards.

Register at www.meetup.com/de-DE/LearnDataScienceBerlin/

 

 

FOCUS-Business Nominates mayato as Top Employer 2019 for Medium-Sized Businesses
27. Nov 2018

mayato is awarded: enthusiastic employees and applicants push mayato to the top. In cooperation with kununu.com, FOCUS-Business identifies Germany’s best medium-sized employers in the DACH region. The award confirms which medium-sized companies are most recommendable from the employees’ perspective.

Download our press release (in German)

mayato to Host the Next SAS User Group Germany
23. Nov 2018

mayato is happy to host the next SAS User Group Germany (SUGG) meeting in Berlin. On the 29th of November 2018, our consultants will share their experience about SAS Viya with other SAS Users.  We welcome attendees interested in the SAS® technology stack to our premises in Friedrichstrasse 121 in 10117 Berlin at 6 p.m.. The attendance is free of charge.

Register at www.meetup.com/de-DE/SAS-User-Group-Germany

Digital Transformation in Renewable Energy
20. Nov 2018

A central data management platform for analyzing aggregate sensor data

Collecting, processing and analytically evaluating its own historical data, sensor data and energy data centrally – with this goal in mind, a global energy group planned the development of a digital platform. All facilities for renewable energy were to be monitored and controlled in real time. The use of data science tools to analyze the vast quantity of data should enable predictive maintenance on a large scale.

But the first step was to bridge the gap between business users and IT: the energy group engaged Positive Thinking Company with this qualified change management. Our case study explains which hurdles had to be overcome and how the gap between business users and IT was closed.

Download  case study