A wise man once said, "All forecasts basically assume that tomorrow is going to be very similar to today, just with an adjustment or two." That wise man was Gary Angel from Digital Mortar, and he said that on this very episode as we explored the ramifications for the analyst when the historical data is not at all a proxy for the near-term and medium-term future. What is the analyst to do when her training data has become as worthless as a good, firm handshake? If your prediction—based on listening to past episodes—is that Gary and our intrepid co-hosts might actually have some sharp ideas on the subject, well, give this show a listen and see how well you did! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.
Podden och tillhörande omslagsbild på den här sidan tillhör Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer. Innehållet i podden är skapat av Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer och inte av, eller tillsammans med, Poddtoppen.
