Software industry

Today we're announcing a significant new capability: integration of Actenum DSO with Microsoft Project.

“You think you've got a hold of it all
You haven't got a hold at all”
    Get the Balance Right, Depeche Mode (1982)

Suppose that you're working to make significant improvements in a part of your business, and have developed an organizational transformation strategy to do so. What is the correct balance of workflow, behaviour, and technology that is required for your project to be successful?

I’ve thought quite a lot about the Perfect Plant concept after digging into it at last year’s SAP Adaptive Manufacturing Summit.

According to the January 2008 edition of the Energy Insights Insights on Oil & Gas Newsletter, “[The] Pressure is on to increase recovery rates from known reserves given the expense of exploration.” And, “The Digital Oil field will see continued growth with enhanced production optimization.” In response, the authors state, “Oil and gas companies will look to tools for project and portfolio management, especially analytics that are able to support optimization.”

Recent financial news in the enterprise software sector is bubbling with stories about behemoths like IBM, Oracle, and SAP gobbling up Business Intelligence (BI) vendors like Cognos, Hyperion, and Business Objects, respectively.

The Digital Oilfield and the Intelligent Grid: two initiatives in different areas—Energy and Utilities—that focus on improved monitoring and management of the entire production value chain. In other industries too, there’s a buzz about putting more intelligence into operations. By making devices smarter, using sophisticated communication technologies, and employing software tools to gather, integrate, and present information to decision-makers in an appropriate way, the thinking goes, you’ll empower them to manage their operations more effectively.

Asset Performance Management (APM) is an evolving software category that supports business processes, workflows, data capture, analytics, and optimization to improve production availability, reliability and output.