Archive for the 'Spend Analysis' Category

AMR Answers Top-of-Mind Questions from Recent Webinar

In the recent webinar, Correcting Your Spend Vision with Visibility, Mickey North Rizza, research director with AMR Research, discussed implementing spend visibility tools to bring more spend under management, gaining competitive advantage through analytics.
During the webinar, we received three really great questions from our audience, and wanted to share Mickey’s responses covering maverick spend, data [...]

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It’s what you don’t know that costs you part 1: Why ERP Systems Are Not Enough for Spend Analysis.

ERP systems have been historically good at processing and recording transactions, but mining data for spend visibility was not one of them. Spend Analysis started in the early 1990’s at progressive companies like GE and at consulting firms like M…

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The Future of Commercial Payments

Cash is king, credit is scarce, and stubborn clouds of uncertainty refuse to dissipate. In this time, maintaining a strong balance sheet and an eye on cash flows is a prerequisite for business leaders seeking to master the twin near-term imperatives of viability and maneuverability.
Scrutiny on money flows outside the four walls of a company, [...]

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Spend Category Management – What Is It, and Why Is It So Valuable?

Category management is very valuable to organizations that conduct sourcing initiatives and want to capture key knowledge around that specific sourcing category, integrated with the corresponding organizational Spend.  This allows for ongoing category…

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RFPs for Magicians and Exploding Pirate Ships?

When I say “casino”, what’s the first thing that comes to mind?
Probably for most of you, it’s money. Actually more like MONEY. Money being spent, won and lost at breakneck speed. And although you’ve possibly had trips to Vegas where you were up against The House (and ask a gambler, and they’ll always tell you [...]

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Beam-Up More Data Scotty! I Need More Spend Visibility!

One of the big cost and “choke” points in Spend Analysis has been the difficulty in collecting the many different sources of Spend related data.  Spend data typically resides in disparate systems, including ERP, AP, PO, Pcard, Suppliers, Supplier …

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Purchasing 0.3

Is Purchasing Magazine trying to give me a heart attack? Isn’t it enough that they refuse to acknowledge the presence of Sourcing Innovation (which, as you know, is one of the few blogs that brings you real supply management content you can use day-in, day-out six days a week, every week) which they dropped from their “News from the Web” feed years ago (when I first ripped apart one of their sloppy articles)? After reading a few of their recent articles, my blood is boiling!That’s right! That bullcr@p that Spend Analysis is expensive (see last Thursday’s post) …

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Purchasing Gets it Wrong Again: Spend Analysis IS Cheap.

A recent article in Purchasing on what $100K buys in spend analysis software has me jumping up and down again (their 2007 article on the ABCs of Spend Analysis, which was beautifully dissected by Eric Strovink in What Purchasing.com Got Wrong, had me fuming for weeks). According to this new article, being able to analyze spend is critical (which it is), but it isn’t cheap and price tags start at $100K — and buyers may have to pay more for insight into new opportunities for sourcing and consolidation. WTF?!?!?!Allow me to say that again. What the frack? …

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Utilizing outside warehousing and distribution with new acquisitions

2010 should bring a flurry of new acquisitions with many established companies looking to expand product lines and increase growth within the organization.
Of these companies looking to expand through acquisition, raising capital expense to fund the ne…

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“Dynamic Database” Technology Significantly Advances Spend Analysis Capabilities

In the world of Spend Data Management and Spend Analytics, not much new technology has come forth over the past 5 years, until now.  We have been stuck with ETL’s requiring structured data templates, fixed databases, reporting cubes, and manual data…

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