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Stat Webinar Series Part 3 of 3: Automating ERP Application Change Management Processes in Manufacturing

Lo lamentamos, el evento Stat Webinar Series Part 3 of 3: Automating ERP Application Change Management Processes in Manufacturing ya ha expirado.

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Avoid the Common Pitfalls of ERP Change Management: Part One
Libro electrónico
Avoid the Common Pitfalls of ERP Change Management: Part One
Avoid the Common Pitfalls of ERP Change Management: Part One
In this first chapter, you’ll learn how to define an effective change management process that reduces the potential risks associated with your enterprise resource planning (ERP) application changes.
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Mastering the Art of Version Control and Migration Management with Stat
Resumen técnico
Mastering the Art of Version Control and Migration Management with Stat
Mastering the Art of Version Control and Migration Management with Stat
Modern corporate IT infrastructures are constantly changing. Maintenance, such as user provisioning and regular updates to operating systems, server software and applications, is just a small part of the picture. IT departments must also frequently change
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Quest Partner Webcast FY21 Q2 EMEA
On Demand Webcast
Quest Partner Webcast FY21 Q2 EMEA
Quest Partner Webcast FY21 Q2 EMEA
Quest has the technology solutions your customers need to connect, manage and secure a remote workforce.
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Quest Partner Update FY21
On Demand Webcast
Quest Partner Update FY21
Quest Partner Update FY21
Recent events have forced governments to enact social distancing measures and business closures that have disrupted daily life and work.
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Automating Your ERP Application Change Management Process
On Demand Webcast
Automating Your ERP Application Change Management Process
Three Change Control Challenges You Can Solve with Stat®
White Paper
Three Change Control Challenges You Can Solve with Stat®
Three Change Control Challenges You Can Solve with Stat®
Unauthorized changes, manual deployments and governance are all challenges that can be addressed with change control tools and processes. This is because nearly everything that goes wrong with a database is due to human intervention, and can be mitigated or avoided altogether when people are prevent
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