Author Archives: Shelley Symonds

Commenting Policy

Wednesday, February 17th, 2010

The Right90 Insights blog is dedicated toward fostering a quality discussion about enterprise sales forecasting, sales performance management and the new front office.

To that end, we have created the following policy regarding posting comments on the Right90 Insights blog:

  • We welcome all comments that add value to the discussion in the blog post being commented on. Open and spirited discussion are an important part of the mission of the Right90 Insights blog.
  • All comments containing personal attacks, untrue claims or those that are not in line with the topic being discussed are subject to deletion.
  • Any comment determined to be SPAM will be deleted. SPAM comments are those that are designed to generate traffic and contain obvious anchor text.
  • All comments are subject to moderation, including removal of links, deletion or edits.

Thank you for participating in our discussion.

Super Sexy Enterprise Apps

Monday, January 18th, 2010

Well, I’m blushing.

In my 20 years in the high tech world, I’ve never heard an enterprise application described as “super sexy.”

For this, I have to thank James Ward, a Technical Evangelist at Adobe who saw Right90 Trust Analytics™ app at Dreamforce and thought it was one of the best, see his Adobe Flex blog for the recording of the app here. James, thanks for bragging rights I never thought I’d be able to claim!

Once I got beyond the fun of it all, I thought about how the adoption of enterprise applications is greatly influenced by the user experience. Over and over, the biggest inhibitor to the success of a enterprise application deployment has been user adoption. Think of the phrase “shelf-ware” that described business’ purchase of enterprise apps that just sat on the shelf and were never deployed.

If users don’t adopt the application, no data gets entered, no analysis can take place, and no insights that can benefit the business are derived. It’s a simple hierarchy that drives a business’ success. CEOs can mandate the use of an application, but that use will still be spotty unless the users like the application and get more benefit from using it than not.

When I reflect on who our audience is for our applications, I’m very proud to have our app called “super sexy”. The users of our applications—sales reps and sales management primarily—are some of the toughest folks to please. (We all know they love their CRM systems and log in every morning like they do with their email.) If we can increase user adoption by providing them with an application that is a pleasure to use and delivers great value through the insights that are presented, I know that our customers will be successful. Sales forecasting has been a tough problem to solve for large companies, and I hope that applications like ours will inspire them to move out of the “do nothing abyss” and move forward to finally fix the chronic sales forecasting problem.

My thanks to James Ward for giving us some extra exposure; my thanks to our CTO, Dean Skelton, who is the brains behind this application; and finally to Elaine Cleary, our Customer Success Manager who so ably and beautifully demo’d our new application.  In addition to our applications, Elaine is one of the reasons that our customers have achieved success, she helps to guide their use and adoption of our applications. She also provides a weekly spotlight blog that can be accessed here.

Working Toward a Better Forecast

Monday, November 2nd, 2009

“…all markets clear, i.e. all supply is eventually absorbed at some price — but maybe not a premium price.”

Deni Pombriant from Beagle Research brings up a great issue. Right now, for most companies, sales forecasting is a thankless job that yields poor results. As he has said to me before, “If your sales forecast accuracy isn’t better than 50%, you’re better off flipping a coin.”

Unfortunately, for manufacturing companies especially, that level of inaccurate forecasting is simply not working. It results in an unacceptably high percentage of their supply being sold at less than optimum price, below cost, or worse yet, written off completely.

On the other hand, when companies use purpose-built sales forecasting applications, rather than Excel, they can significantly reduce both risk and uncertainty. Here at Right90, I’ve seen some of our customers achieve sales forecast accuracy of 95%. We also just did a webinar with Jim Dickie of CSO Insights that highlights the cost of not forecasting correctly—direct impact on number of sales people who make quota.

Thanks again, Denis, for raising awareness on sales forecasting as an effective way for companies to make their numbers—both revenue and margin.