True, nobody has time anymore! But then why waste it?


Why our efficiency clearly hinges on analysis packages that are well-conceived and easy to understand

Most likely it’s a symptom of the society we live in: Nobody has time anymore. Not the manager, not the mechanic, not the truck driver, not the school kid. Nobody has time. Yet this seems paradoxical. How can we have less time than the generations before us? Or…is it true? Well, for a start, time is still measured the same way it always was and excepting a few slight miscalculations in the calendar, time is divided evenly throughout the year.
But wait a minute, you might object. We work longer hours and our information society is more dynamic and faster-paced. Information surrounds us – all the time and everywhere – thanks to the Internet. And our smartphones keep us connected wherever we go. Well, almost everywhere. We have a GPS that guides us more quickly (most of the time) to our destination. Our lives are more flexible – and that includes how we work. The furious pace of change is impacting us more forcefully than ever before. That’s true. On the other hand, we have many more automated devices and more powerful tools. But we don’t come close to using these as effectively as we could.
RBE PlusIf we interpret the entire database of a well-maintained ERP system as an organization’s foundation of knowledge, we can use in-depth analysis to take a good look behind the scenes. It’s mere child’s play to find answers to questions that at one time would have required thorough investigation. Especially against the backdrop of geographically decentralized business units, internationally interlinked systems and integrated user departments.

  • How many customers are there?
  • How many sales activities have been executed?
  • What numbers are available for warehouse inventory?
  • Which programs were used?

All the information we seek is at our fingertips. According to Richard Y. Wang, with respect to data quality, four criteria must be met if a user is to make decisions based on this data:

  • Accessibility (means and availability)
  • Interpretability (with respect to syntax and semantics)
  • Usefulness (relevant, complete and up to date)
  • Correctness (accurate, credible, consistent)

So, why is it that companies use information available in their ERP systems only rarely or selectively for a specific objective? One reason might be that the software or data structures are too complex to make Yang’s criteria easy to fulfill. The effort required seems to pose an overwhelming obstacle, particularly when users want to mine unbiased data.
And yet the solution is really quite obvious. Especially when it comes to enterprise software, standardization has become an essential means for making synergetic pooling of experiences and benefits utilizable. In the ERP space there’s hardly need for further explanation.
So why not apply the same principle when searching for information and correlations? A standardized analysis, spawned from decades of experience and multiple customer projects is in a much better position to meet information needs. Not just targeted at and focused on a specific task, but including correlations and interconnections that are not always visible at the outset. It’s a little like installing an app on your smartphone that shows you which functions and programs you’ve been using. And then having it give you fact-based suggestions on what other apps and settings might be of use to you. Or even having it suggest a follow-up model to replace your current smartphone – one that’s affordable on your budget and suits your specific needs.
The benefits are self-evident. Information can be obtained more quickly and more effectively. This saves you time – and becomes an elementary resource that helps you to respond more rapidly and easily to changes. And helps you unlock potential.
RBE Plus analyses deliver extensive data examination for SAP systems and the processes they’re based on, with the goal of supporting a wide range of project tasks – from system usage to process efficiency. Informed by more than fifteen years’ worth of project experience.

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