At Dreamforce last year, I was moderating a panel on guided selling with analytics and AI when an audience member asked how I thought Agentforce would impact analytics solutions. My off-the-cuff response was that in terms of analytics, “the questions remain the same, but now we have another mechanism through which we can deliver those
Global trade dynamics are constantly shifting, and the prospect of new or adjusted tariffs presents a significant challenge for businesses worldwide. While the political landscape evolves, the operational impact on core business functions, particularly Revenue Operations, demands proactive attention. For organizations leveraging Salesforce, understanding how potential tariff changes affect your Configure-Price-Quote (CPQ) and broader Revenue
With the pivot from subscription to usage-based and product-led revenue models, businesses are finding new ways to align forecasts with actual customer usage. Salesforce’s new consumption forecasting solution in Sales Cloud (built on top of Data Cloud) was unveiled at Dreamforce; it’s now in pilot and will be generally available in February 2025. Salesforce Consumption
While the consumption-based (or “usage-based”) pricing model isn’t necessarily new, it’s becoming increasingly popular in industries that haven’t typically used it in the past — like tech and manufacturing. But what does that mean for those sales and revenue operations teams that have to completely rethink the way they forecast? In this article, we’ll look
CRISP-DM sounds delicious, but what is it? If you haven’t heard of CRISP-DM yet, you haven’t been following what machine learning and data science can do for your business. CRoss-Industry Standard Process for Data Mining (CRISP-DM) is a methodology businesses take in performing AI in an efficient, scalable way to meet stakeholder demand. Companies must
If you’ve read the title and have in fact called your data expert or your doctor about prescriptive analytics, I commend you for taking action so quickly. But let’s hang up the phone. There’s a lot to learn about the different types of analytics and where your business might fit on the scale. Most businesses
For the past two decades, we as sales teams have been fixed in roughly the same conversation about our forecasts, which are largely an aggregation of opinion, heavily biased by the hope or fear of hitting or missing our targets. These opinions resemble the data in every way. There are numbers with dollar signs, revenue
There’s a big difference between knowing and doing. As Leonardo Da Vinci put it, “Knowing is not enough, we must apply.” His words rang true in the 16th century, and they are just as applicable in the digital age. When applying this to a sales forecasting process we can either just use the forecast to
Predictive & Prescriptive Capabilities to Improve Actionability