The Project System Engineering software allows you, the Project Manager, Sub-project Manager or System Engineer, to focus on the managerial tasks. It reduces the administrative work in the long term by up to 30 percent. Planning, recording of project phases, milestones, work packages, reports, responsibilities and competencies are standardised. This standardisation with mandatory basic guidelines produces a higher quality of project management and increases the success of a project. Recorded changes in the course of a project are automatically updated due to anchored dependencies. Users of all stages thus receive the latest project development status and trend analyses to milestones, risks and costs. This constantly adapted fundamental information allows Project Managers to make the correct managerial decisions and increase the success of the project. The integrated Portfolio Management as the link between Project Planning and Project Development allows a quantity and quality comparison of all projects within a company, using the same benchmark. This allows those responsible to correctly prioritise and make the appropriate decisions. The persons involved in the project and their knowledge are centrally organised. This ensures the best possible use of resources. The software also simplifies communication with the different persons involved in the project. The Project System Engineering software was created from practical application and is based on long-standing experience. And in order to ensure that not only those involved in the project are updated but also the software, we constantly optimise the project management process in the software.
Technology:
N/A
Categories:
Project Management, Risk Management, Business Process Management, Human Resources, Data Quality
waave automatically assigns telephone numbers to employees. Number ranges and dependencies (department, location, etc.) can be defined. For example, IT employees in Zurich are assigned a number within the number range 8000-8299, so that telephone numbers and area codes are managed efficiently and correctly within the given number ranges. Thanks to the possibility of overriding suggestions, you still retain control: waave then checks whether the number exists within the predefined range of numbers and is still available. Phone numbers can also be reserved so that they are available for hotline, support or reception, for example. waave enables automatic management of phone numbers in Microsoft Teams and Skype for Business, so employees can use the phone number in teams or Skype for Business. Do you use different services than Teams or Skype for Business? We would be happy to check for you whether waave can automatically manage the telephone numbers in your telephone system!
Technology:
Microsoft Azure Cloud, REST API, Microservices
Categories:
General Automation Technology, Software-as-a-Service (SaaS), Data Quality
All employees have a unique username, which is needed for different purposes. Using the Unique Identifier Module, waave automatically suggests unique usernames based on predefined rules. Thanks to the ability to override suggestions, you still retain control: The verification and centralized management by waave prevents duplicate assignments. If usernames are no longer needed, they are automatically blocked and can no longer be assigned. This is the case, for example, when an employee leaves the company. The Unique Identifier Module is primarily used for the administration of usernames. However, the possibilities are wide: You can not only manage usernames, but also any kind of identifiers such as for buildings or servers.
Technology:
Microsoft Azure Cloud, REST API, Microservices
Categories:
General Automation Technology, Software-as-a-Service (SaaS), Data Quality
With waave, our Identity and Access Management solution, you can organize your employee identities and access authorizations on different target systems simply, centrally and automatically. The Universal Directory is the central administration of waave. It is a directory of all identities and access rights. The data listed in it is synchronized with various target systems such as Active Directory and Microsoft 365. Through flexible processes for recording, maintaining and deleting identities, waave can manage all identities from employee entry to employee exit. waave supports you in complying with various data protection guidelines: All changes to identities are logged by waave and data management is documented. So you can always see who changed which data when and who had access to which systems at what time. waave is a modular solution. This means that you can expand the basic version of waave with various additional modules to meet your needs.
Technology:
Microsoft Azure Cloud, REST API, Microservices
Categories:
General Automation Technology, Software-as-a-Service (SaaS), Data Quality
Machine learning models are used to transform unstructured text data into valuable insights. The Natural Language Processing (NLP) models help us understand the text data and calculate their similarity to each other. This process works without any data labeling, which saves tedious manual work and allows us to gain valuable insights from the data immediately. gopf helps companies analyze data such as CRM notes, answers to open questions in surveys, product descriptions, media releases, customer feedback, support tickets, qualitative surveys from market research, and many other unstructured text data and gain valuable insights. Below are two examples: * Telephone counseling: anonymous call notes are analyzed to gain more information about the reasons for calls, as well as to identify trends and derive preventive measures. * University: By means of web-scraping, program descriptions from other higher education institutions are obtained and visualized. This allows a picture of the market and so similar offers from competitors and trends in the market can be analyzed quickly and efficiently and one's own products can be realigned.
Technology:
Machine Learning, Natural Language Processing (NLP), Data Visualization and Humans
Categories:
Machine Learning, Text Analytics & NLP, Data Quality, General AI, Business Intelligence
