Monthly Market Commentaries
The LEF Monthly Market Commentaries (listed on the right) provide our latest thinking on today's rapidly changing business/IT marketplace. They are designed to build upon and update the work we do in each of our six major research domains.
Written in a more informal and opinionated style, each piece reflects the views of its author. If you have any feedback, suggestions, or wish to discuss any aspect of these commentaries, please contact David Moschella, our Global Research Director.
Real-time customer information and the ability to listen to what the online world is saying are becoming critical business requirements, as information technology moves to the very front of the firm. In response, companies are being asked to master a whole new set of previously arcane IT skills such as data analytics, search engine optimization, social media conversations and location awareness.
In America, the combination of high unemployment and the start of the presidential election process has sparked a great deal of debate about how jobs are created, and lost. Nothing new there. Similar academic and populist debates have been part of every modern recession, as society seeks both strategies – legislation, fiscal and monetary policies – and scapegoats – corporations, machines, trade, foreigners, etc.
Keynes called it the paradox of thrift. During recessions, spending cutbacks by individuals, households and firms are to be expected. Yet, for society overall, this type of mass austerity tends to make the downturn worse. Keynes and his disciples have long argued that the only practical way to resolve this paradox is through substantial government spending. But boosting spending in today's debt-laden western economies requires a big and counter-intuitive bet: that even more debt today will lead to more prosperity tomorrow. Many of us are deeply sceptical, hence our vacillating national leaders.
If you Google the term big data, you will get over 5 million hits. While this figure is nowhere near top-tier buzzwords such as social media (320 million), it is about the same as credit default swaps, and nearly five times that for predator drones. The potential value in analyzing large, and increasingly unstructured, data sets has clearly resonated with the business press, IT suppliers and a growing number of customer organizations.