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Sumologic

Aspect Description
Vendor
Sumologic
Details
Website
Term
Operations & Security Analytics
Purpose/ Statement
Sale/ Provide Information
Genre/ Research Methods
Descriptive website
Concept
Not clear
IT involved
Dashboard
Data Sources
Custom Connectors
(Research) Methods
Machine Learning
Stakeholders
IT-/DevOps & Analysts & Security
Goals
reduce time2repair
Theoretical Warrant(s)
Not clear
Level of Analysis
Technical components
Side effects
None
Theoretical instantiation/ link function
None
Comparison with our model
This vendor does not address side effects, neither provides definitions about the concepts.
Comment
Additional definition: Machine data analytics is the process of aggregating, parsing, and visualizing of data generated by software from a wide variety of sources such as: Personal computers, smart phones, and other devices. https://www.sumologic.com/machine-data-analytics/ 30/05/2019
People Analytics Wiki

Despite people analytics being a hype topic and attracting attention from both academia and practice, we found only few academic studies on the topic, with practitioners driving discussions and the development of the field. To better understand people analytics and the role of information technology, we performed a thorough evaluation of the available software tools. We monitored social media to identify and analyze the 41 people analytics tools listed here.


ERCIS Competence Center Smarter Work

The Competence Center Smarter Work supports organizations with the introduction, use and management of new communication and collaboration systems. We build on years of experience with transformation processes towards “Smarter Work”. We integrate individual and organizational perspectives in our research projects, inquiring about employees who use new technologies in their everyday work. Our research is characterized by the pursuit of long-term improvements. To this end, we seek a focused understanding of underlying organizational problems before pointing out customized options for action. Made possible by an interdisciplinary team of scientists from business, computer science, psychology, sociology, as well as practitioners from the IT industry.