Our new software release will dramatically improve your medspa business performance while enhancing the customer experience
AestheticsPro is the most complete Aesthetics Software on the market today. HIPAA Cloud Compliant with electronic charting, integrated POS, targeted marketing and results driven reporting; AestheticsPro delivers the tools you need to manage your medical spa business. It is our mission To Provide an All-in-One Cutting Edge Software to the Aesthetics Industry.
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The Most Powerful Software Platform for EHSQ and ESG Management
Addresses the needs of small businesses and large global organizations with thousands of users in multiple locations.
Choose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
ProM is the comprehensive, extensible framework for process mining. Process Mining deals with the a-posteriori analysis of (business) processes using enactment logs.
The ProM Import Framework allows to extract process enactment event logs from a set of information systems. These can be exported in the MXML format, which is the standard event log data format for Process Mining analysis techniques.
A framework for logging of Java script errors,exceptions and debug messages on web server using Ajax.Logs will be written by Ajax Log processor on web server in XML format, which is called by Java script functions on browser.
Project Planning and Management Software | Planview
For Enterprise PMOs
Planview® ProjectAdvantage (formerly Sciforma) is an enterprise-centric project and portfolio management (PPM) software designed to enable change, drive innovation, and lead in a company's digital transformation. With ProjectAdvantage, teams can strategically track and monitor project data in order to make relevant decisions. It offers multiple features focused on strategic management, functional management, and execution management. A highly scalable and cost-effective solution, ProjectAdvantage is available in various deployment models.