$150 Million Reasons to Stop Using Excel

July 28, 2008

Enter at Your Own Risk

Enter at Your Own Risk

I recently read a report from one of Gartner’s top analysts, Michael Dunne. His estimate of the price optimization and management software market is now up to $150 million for 2007. Further, he believes it will grow over 30% each year for the next few years. That’s impressive, given the that most markets, even software, are shrinking or flat. “The potential for this market is significant,” Dunne states, “because defining and defending optimal prices is a fundamental imperative for enterprises responsible for producing returns for stakeholders.” Amen to that.

It shocks me that smart business managers out there still rely on spreadsheets to make pricing decisions where a penny here or there can have a multi-million dollar impact on the bottom-line. With commodity prices whipsawing, competition increasing, information traveling at the speed of light and product and customer complexity expanding across the globe, how could anyone keep up using a Microsoft Excel spreadsheet? Not even a Mensa-certified Ph.D. can race ahead of the speeds and feeds that corporations now face in making pricing decisions. Dunne agrees. “Traditional approaches, such as employing spreadsheets to analyze and manage prices, increasingly are being viewed as inadequate.”

Now’s the time to “Ctl-Alt-Del” that Excel spreadsheet you’re using to make pricing decisions. Wall Street has. The hedge fund guys have. The commodity traders have. When will the manufacturing community take analytics seriously? As Dunn projects, and I agree, they are starting to take notice. Price optimization is now a board-room topic…”Toast that spreadsheet and get us some software that will systematically improve not only our pricing practices and strategies, it will add millions to our margins and bottom-line profits.” Great call. And if your big enough, that could easily be over $150 million in the next few years.

So who should you call? In the June 30, 2008 Gartner report, Dunn cites among others: Oracle-Siebel (www.oracle.com), Oracle E-Business Suite (www.oracle.com), PROS Holdings (www.pros.com) and SignalDemand (www.signaldemand.com). By the way, if you want SaaS (Software as a Service), which everyone is clamoring for these days, SiganlDemand is the only pricing software dedicated to the on-demand delivery model. Also included in Dunn’s list? Microsoft (www.microsoft.com) So even if you do smart-bomb that Excel spreadsheet, the folks in Redmond have plenty of other cool stuff for you.


VP of Pricing Interview

July 22, 2008

Here’s one more reason for putting science-based software in your pricing process.  Next time you’re renegotiating contract prices, pull this one out.  - Rip

 

The CEO of a large manufacturer posted a job for a new Vice President of Pricing.  The HR department screened hundreds of resumes and presented three finalists: a mathematician, an accountant and an economist.

So the CEO calls in the mathematician and asks: “What do two plus two equal?” The mathematician replies “Four.”  The CEO asks: “Four, exactly?” The mathematician looks at the CEO incredulously and says “Yes, four, exactly.”

Then the CEO calls in the accountant and asks the same question “What do two plus two equal?” The accountant says “On average, four - give or take ten percent, but on average, four.”

Then the CEO calls in the economist and poses the same question “What do two plus two equal?” The economist gets up, locks the door, closes the shade, sits down next to the CEO and whispers: “What do you want it to equal?” 


The Definition of Price Optimization. Period.

July 16, 2008

Who needs price optimization?  Any business-to-business (B2B) corporation, of course.  But with all kinds of software vendors and consultants pitching all kinds of tools and capabilities, where do you start? 

First, you must start with a solid definition of what “price optimization” means.  Otherwise you introduce a Tower of Babel to your sales, marketing and finance organizations.  Speak the same language.  I’ve searched all the vendor and industry analyst websites and have met with a number of software insiders to develop my own definition of the “price optimization” market.  It works.  It’s battle-tested.  Because, actually, it’s three definitions, not one.

Before I define them for you, here’s the “language” I opted to employ in the formulation.  First, I’m using a commercial definition - B2B - big companies selling lots of products to lots of other companies.  Second, I’m only looking at closed-loop pricing processes such as price analytics, price optimization and price execution.  Third, many of the vendors out there only deal with “demand-side” pricing, that is, they only consider optimizing one end of the supply chain - the customer end.  So the definitions from small little software folks like Vendavo and Zilliant did not make my cut, since price optimization must encompass the entire value chain - the “supply-side” and the “demand-side.” 

So here are the three categories of the price optimization market with an easy to remember moniker: A-E-S-O-P.  That’s right, the fable guy.

ANALYTICS.  At the front end of the price optimization machine lies ANALYTICS, those functions that help you to identify and uncover historical trends in your pricing.  Usually analytics means shoving a bunch of transactional and contract data into databases or spreadsheets and divining out some insight.  Lots of folks sell analytical tools, cloaked these days in fancy terms like Business Intelligence and Knowledge Management.  Most of it is just ANALYTICS.  It’s useful, it helps to uncover market dynamics or ferret out pricing anomolies.  Every software company in the pricing space has some capability here.  Mostly (sadly) people rely on spreadsheets for this.

EXECUTION is what you do once you’ve conducted your analysis.  Price Execution is all about the functionality that supports making pricing decisions - disseminating pricing information, providing guidance on pricing practices and deal negotiations.  It’s often bundled with automation in the form of review and approval processes.  Folks like SignalDemand, SAP and Oracle provide execution capabilities.

Lastly (and most importantly) we come to STRATEGIC OPTIMZATION of PRICES.  The SOP in our AESOP moniker.  SOP is all about the modeling and rules that go into identifying and defining optimal pricing strategies and price bands.   Here, the only true end-to-end price optimization solution is SignalDemand (www.signaldemand.com) since in our definition, prices are as much about supply-side levers as they are about demand-side levers.  (And actually, it’s not software, it’s SaaS - software as a service - so it’s fast and easy to implement and run.)

So there are the 3 categories of price optimization, AESOP = Analystics, Execution, and Strategic Optimization of Pricing.  If you are thinking of buying software, consider AESOP and make sure you are covering the full spectrum, otherwise the emperor won’t be wearing any clothes to the board meeting on margin imporvement and profit optimization.

Vendors Cited:

Oracle (www.oracle.com)

SAP (www.SAP.com)

SignalDemand (www.signaldemand.com)


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