June 22, 2012 Leave a comment
I have worked for some large software companies. I loved many aspects of those experiences. But, do you want to know the toughest part of those jobs? It was meeting someone from one of their customers and getting a reaction like, “Oh, you are the enemy!” Yes, that’s literally what one woman said to me.
Now, of course, she did not stop to consider all the things that were much easier for her company to do and to keep straight with an integrated, enterprise suite of software applications from accounting through manufacturing to procurement.
What flashed to her mind were the things that she and her colleagues could not do with the software. That’s the way it is with software. The first things we notice are what we can’t do, not what we can now do that was impossible before.
What we cannot do with our enterprise software systems, however, is a real problem. To make matters worse, your knowledge workers can easily out-think a software application vendor’s development cycle. There are some fairly legitimate reasons for this, of course, but the fact remains that ERP and APS vendors have no shot at supporting the need for ongoing innovation on the part of you and your colleagues who must make constantly make faster, better decisions.
Of course, that explains the popularity of Microsoft desktop applications like Excel and Access.
In the meantime, business managers who are not paid to be statisticians, algorithm engineers, or programming experts struggle to build and constantly recreate the tools they need to do their work.
They are paid to ask important questions and find alternative answers, but the limitations of their enterprise resource planning (ERP) and advanced planning systems (APS) systems keep them wrestling just to find and format data in order to answer the really challenging analytical and/or strategic questions.
While it is possible to hire (internally or externally) the talent that combines deep business domain knowledge with data analysis, decision-modeling and programming expertise to build customized, spreadsheets in Microsoft Excel™, faster, more comprehensive and ubiquitous cloud solutions are emerging. What’s needed in this approach is the following:
- A hyper-fast, super-secure, cloud of transaction level data where like data sources are blended, dissimilar data sources are correlated, and most of the hundreds of basic calculations are performed. This needs to be a single repository for all data of any type from any source.
- A diagnostic layer where the calculations are related to each other in a cause and effect relationship
- A continuous stream of decision-support models (e.g. econometric forecasts, optimization models, simulation, etc.)
If you must make ever better decisions than your competition (Duh!), then this kind of framework may speed your time to value and result in a more secure, scalable, and collaborative solution than desktop tools or point software solutions can provide.
Such a platform would allow you to see what is happening in business context, why it is happening, and a recommendation for your next best action.
It also provides a way to build decision “apps” for your business. You know what apps on your phone have done for you. Imagine what apps for your enterprise could do . . . and all the data is already there or could be there, regardless of data type or source.
I will leave you with these words from William Pollard, “Learning and innovation go hand-in-hand. The arrogance of success is to think that what you did yesterday will be sufficient for tomorrow.“ (http://www.thinkexist.com)
Have a wonderful weekend!