Optimizing your cloud operations is a challenge if you don’t have the visibility to understand process conflicts and dependencies, or to identify overlapping, redundant, and obsolete systems. Additionally, expansive IT landscapes often force personnel to spend too much time and money understanding a situation rather than acting on it.
Together, Software AG and Amazon Web Services (AWS) can simplify your cloud transformation with range of solutions. Alfabet and ARIS are IT discovery and planning tools that provide visibility into the IT impacts of your changing cloud environment. Software AG’s webMethods is a complete integration platform for your cloud applications. If you’re focused on IoT adoption, Cumulocity IoT enables you to accelerate your IoT connectivity so you can manage devices and customer relationships in innovative ways.
Software AG’s deep integration with your AWS environment helps you:
Whether businesses are migrating to Amazon Web Services (AWS) or working to optimize their existing cloud operations, they must understand the intricacies of their IT landscape. This knowledge helps them properly plan for change and efficiently implement it. For those with large IT landscapes, this can be challenging because it is difficult to gain proper visibility into your environment. As a result, it is extremely hard to understand all process conflicts or dependencies, or to identify overlapping, redundant, and obsolete systems that could be retired. Additionally, expansive IT landscapes often force personnel to spend too much time and money understanding a situation rather than acting on it.
State-of-the-art cloud applications for customer relationship management (CRM), enterprise resource planning (ERP), marketing automation, and more are helping organizations improve internal operations and focus on core competencies. While these applications provide significant value, each represents a silo in the IT landscape: the data within applications can be inconsistent, incomplete, and duplicated, creating gaps in the data that is shared between applications. Additionally, many IT teams cannot keep up with the demand for integrated applications, pushing the responsibility to business analysts and non-technical users. The result is increased risk of bad datafrom manual data entry and custom integrations. The demand for integration projects can also create backlogs that are hard to keep pace with as your SaaS application portfolio grows.
Companies that manufacture or operate machinery and devices know that performance data is vital to their business. All too often, though, a lack of visibility into operations can prevent them from tracking and generating actionable data. This can keep companies from identifying operational inefficiencies and even prevent them from responding in real-time to signs of malfunction or failure. It can also mean missed opportunities to learn from and engage with end customers.
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