Sourcing Speak

As a thin guy, I used to subscribe to the philosophy of wearing large clothes to look bigger than I was.  What I actually looked like was a scrawny guy in ill-fitting clothes that were not overly comfortable.

Sourcing of IT and associated services may be falling into a similar trap.  Rather than using agreements that are the right shape or size, purchasing organizations are developing and rolling out standard templates that are supposedly broad enough to cover everything–unfortunately, they often do not cover any particularly purchase properly.  Specifically, we are seeing a proliferation of master service agreements (MSAs) that, largely speaking, come from an IT development context.  These are then begin applied to software licensing, professional services; and cloud services agreements–all of which are different transactions with different needs.

To illustrate, let’s review the application of an MSA to a Software as a Service (SAAS) offering.  As a threshold, the MSA contemplates project style initiatives, whereas the SAAS offering is by its nature on ongoing, recurring offering over a specified term.  Under an MSA, the buyer typically attempts to assert ownership of all developments; this is antithetical to the SAAS model where the supplier contributes IP to continually improve its offering.  Under the MSA, the buyer heavily negotiates the service levels; in SAAS, the service levels are the same for all like buyers–without such consistency, there is no shared offering and no cost benefit of the SAAS model.  We could go on, but the point is clear–a customer MSA is not likely to be a good fit for a SAAS offering.

The trend in Big Data analytics among companies shows no sign in abating, with companies covetously collecting vast amounts of data with the hopes of harvesting market differentiators.  A study by open-source research firm Wikibon, for instance, forecasts an annual Big Data software growth rate of 45% through 2017.  But what tools are companies using to implement Big Data solutions? For purposes of this article, let’s set aside for a moment the intended outcome of whatever Big Data project your company has planned in the coming year (whether it be predicting the outcome of Supreme Court cases or helping a baffled spouse pick out the right lingerie set), and instead let’s focus on the tools available in the industry (and some of the associated pitfalls) in getting your company from concept to solution.

First, consider how you are going store and analyze the data.  For companies with significant internal resources and focus on Big Data, it may make sense to hire an in-house analytics team and invest in the requisite infrastructure and tools.  However, there are many options in the marketplace that require less investment in order to gain actionable insights:

§ Database Marketing Outsourcing: An end to end service often used by retailers in which a supplier licenses data and provides data mining analytics, marketing campaign sales management and analysis, and other ancillary functions.

It isn’t often that a supplier “fires” its customer, but it’s not unknown. I have worked with two clients recently whose suppliers have given notice of termination without cause.

How can you avoid or, if it does happen, manage through a supplier-initiated termination?

Obviously, the best position from a customer’s perspective is not to give your supplier a contractual right to terminate, except if there is an uncured material breach. However, in many negotiations in which I have been involved over recent years, suppliers are demanding a right to terminate for convenience, or a right to give notice of non-renewal at the end of an initial term, or a subsequent renewal term (which pretty much amounts to a termination for convenience).

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