Good companies can’t rely solely on execution discipline and financial results to keep investors interested. Good IR will help build the right investor base and guide expectations in good times so investors stick with the company during the next downturn.
You need to understand their genuine sentiments, then be nimble and responsive to their concerns. Or, you can watch as your competitor pivots to produce a better market fit, while your survey results are still sitting on the servers in your marketing department waiting to be analyzed and distributed.
FIrst, small data works for big wins in investing, don’t get lost in the chatter. Second, in research, proceed with caution when the validity is buried in “huge” dark data models. Third, in news, avoid distraction by staying in your domain and using your mental models as a compass.
"This article is why your applications are so important. The ability to “monitor” this experiment has become an operational requirement. I believe the economy has moved from a slow steady growth environment to one of high volatility. The need for applications to monitor industry as well as globalization dynamic...
Over my career, the level or intensity of competition has declined significantly when the economy was humming along with steady growth. My simplistic view is, as the demand of goods and services starts to exceed the supply side, companies start focusing on how manage growth and much less on their competitors.
A distinguishing feature of time series methods is that they explicitly account for the key characteristics of a time series: trend, seasonality and cycles. The workhorses of time series methods are single equation, least squares regression and ARIMA models.
Rather than being a treatise on forecasting, this series will present a practical methodology and some of the lessons learned performing time series forecasting for clients. Equally important, as with all forecasting methodologies, there are pitfalls you should know about. The IRO's credibility is the company's...