There is a game that used to be popular in arcades called “Whack-a-mole”. The game was pretty simple in concept, you have an enormous (soft) hammer, and there are 7 or 8 moles (small rodents) that popped up one at a time and you had to hit them. As you hit one, another popped up. So you never actually solved your fake rodent problem - as soon as you solved the one, another popped up.
Recent economic conditions have elevated interest in rolling forecasts as means of coping with increasing uncertainty and volatility. Proponents believe that a faster and more forward looking process creates value by
Quite naturally, many organizations over-rate the quality of their enterprise and corporate performance management (EPM / CPM) practices and systems. In reality
I’ve been having trouble getting a handle on the relationships between the nexus of forces / third platform themes of social media, mobility, big data, analytics, and the cloud…
A data scientist to my thinking has business knowledge and is skilled in both computation and statistics/machine learning. I kind of like the saying that data scientists can program better than statisticians and have more statistical chops than programmers. Many in the industry, though, equate a data scientist with a business statistician.
Capital investment in production capability is the weakest link in the business value chain. It always has been and likely always will be. It’s the driving force behind the tendency towards cartels, collusion and monopolies. While it can make the first entrant into a brand new market, in the long run
In a recent interview, Toffler said that, “given the acceleration of change; companies, individuals, and governments base many of their daily decisions on obsoledge—knowledge whose shelf life has expired.”
In mobile business intelligence (BI) design, two elements are always in play. I refer to them as “utility” (not to be confused with utility in economics) and “impact.” At the micro level, they influence directly how we develop our mobile assets (reports, dashboards) in order to effectively deliver actionable insight through the mobile user interface and experience. At the macro level, they influence how we designand execute our mobile BI strategy.
I recently presented at an analytics conference where a speaker in one of the customer marketing tracks said something that stimulated my thinking. He said, “Just because something is shiny and new or is now the ‘in’ thing, it doesn’t mean it works for everyone.” His statement got me thinking about some of the new…
Think about one of your favorite apps for personal or business use (excluding games). What part or functionality leaves a lasting impression with you and/or makes you want to come back and use it again and again? What are some of the techniques that the designers of that mobile app used to draw you in? Was it simplicity, performance, the smart use of graphics, or maybe something else that you haven’t seen before?