Archive for the ‘Measurements’ Category

Avoiding Commoditization

Tuesday, July 15th, 2008

The answer is 23.  23?  23 what?  Not what, just 23.  I could have just as easily substituted the 23 for any acronym – SaaS, various standards, SOA, CRM, ITIL, CMMI, BRE, AVM, “e-something,” or a multitude of other advocated approaches. Have we become an industry more worried about the implications or catalysts over the operating principles, rationale and outcomes these very important solutions were designed to facilitate?  What is there efficacy? 

For technologists and business personnel having an answer, even a correct one, does not help if it has no context or relevant association.  Within our operating environments we have competing nexuses of priorities and solutions that are often cumbersomely interrelated and poorly supported with foundational directives.  Let me eliminate the “spin” — we don’t understand the interrelationships and the implications as they relate to desired outcomes. 

With all due respect to the excellent vendors, providers, and their marketing gurus, from the outside many offerings simply sound similar if not the same.  These highly sophisticated and extensively researched offerings are increasingly viewed as commodities in a contracting market – their premium is now at a discount.  So how have these market innovators and innovations “lost their way” and been driven into commodity discussions with their customers and prospects?  Yes it is the market, but there is something more architectonic underneath the meltdown?

As I have noted in this column before, innovation is only innovation if it is relevant to the business drivers, process events, and market demands.  Simple, right?  Moreover, using a syllogistic approach one can then assume that the following axiom also holds truth– using advanced technology, low-cost labor, having a fully integrated solution, and improving quality and margins will yield continued profitability and sustainability? 

The flaw resides in a failure to understand the comprehensive, end-to-end “equation” of mortgage and finance technology in relationship to the drivers.  Hence, innovation for the sake of innovation often yields commoditization of efforts as the buyers struggle with applicability, while the offerings merge towards adequacy.  The following illustration provides a foundation to comprehend the challenges facing our technology providers and the opportunity for buyers in deciding which products and services best meet their organization demands. 

Picture here

As the illustration points out, results = organizational foundation + integrated priorities / objectives + business and technological solutions (aka technological offerings).  Some may look at this model and argue it is “old school” or linear in construct ignoring the “new models” of consumer interactions.  Uh, no, those wonderful options would be part of the channel and delivery effort– not the fundamental foundation for deployment – and only a method or technique to gain the result.  Let’s not confuse methods, techniques, architectures, standards, and tools as the reason for business adoption.  The illustration can be expanded many fold and along several, non-linear dimensions. 

Much like the lessons in Plato’s Allegory of the Cave or Machiavelli’s The Prince, our failure to internalize events outside the traditional operating practices can lead to a catastrophic rebalancing.  Commoditization is frequently the result of an inward, singular focus and market group-think.  Perhaps, given the acidic spray of failures, bailouts, discount window barrowing, and consumer confidence, we should begin to break up the commoditization moulds and thinking once and for all? 

 

The “Non-Model”

Tuesday, July 8th, 2008

By Mark P. Dangelo

www.Innovative-Relevance.com

William Blake’s poetry and quote of “Seeing the world in a grain of sand…” continues to hold inspiration for many business leaders and technological dreamers dealing with globalization and the “flat corporation.”  Yet as a pragmatist, I muse that if this is true, whose grain of sand provides improvement and profit out of the countless trillions of particles available?  Furthermore, within a troubled industry clinging to dogmatic approaches, can invention really be spawned by the spear of consolidation, or worse, regulation?

To date, the projected recovery we have anticipated in the second half of the year has evidently become one of those grains of sand – washed back into the sea for another day.  Rising unemployment and inflation spurred by a change of global economic standing has shifted the investments and interest from West to East.  So are we ready to throw up hands in resignation and board the boat for another shoreline with the ideal that perhaps by 2010 the mortgage industry will rebalance and the path made clearer?  Hardly.

We must permanently think and act differently, but how?  Lacking the “right” grain of sand, I, like most strategist and architects, began to draw.  What I arrived at over the holiday break was something familiar, yet different – it was a “Non-Model.”  An illustration of the Non-Model you can deploy for your own organization is represented below.  It moves beyond the “box-ticking,” passive approaches.

The Non-Model is founded in measurement, assessment and projection.  However, its multi-dimensional conclusions and composition are variable and interlocking depending upon your need and organization.  As I said earlier, whose grain of sand is correct?  The answer is all of them.  We know from experience, that innovation is often more about the integration of disparate ideal to arrive at “new paradigm” solutions, and of course, profit. 

Stating the obvious, the FSI and mortgage industries for too long have fixated on a series of one-off solutions for a particular opportunity or problem – AVM, fraud, compliance, origination, foreclosure, loss mitigation, customer mining, e-closing, and the list goes on.  Those principles or models of operation worked when we were community banks and knew our customers by sight.  Do they really have efficacy within our forward and reverse supply chains (and yes supply chains run both forward and backward)?  Do they make sense with the vast array of data sources, exchanges and oversight?  Do they serve our customers and prospects?

On a droll note, I originally thought of calling the loosely coupled diagram an “unmodel” – then I did a Google search on the term and quickly renamed it.  Wow, now that was something I wasn’t expecting with that term!

Consumer Mining

Tuesday, June 24th, 2008

Stagflation, recession, loss of workforces, commodity hyper-appreciation, and market correction has transformed mortgage end-to-end operational foci from throughput to customer identification and qualification – all within a short 12 months.  Inside every facet of our business models and technological infrastructures, we struggle with were to find and retain profitable consumers.  No individual professional or mortgage operation is immune.  No financial results or staffing ranks unaffected.  Resembling a Greek Tragedy, with a Shakespearian twist, we beat our breasts and lament “Consumer, consumer, where for art though?”  Perhaps they have gone with the nearly 11 million households that possess negative equity, the nearly 11 month supply of homes for sale, or the 8.8% of homes in foreclosure and delinquency?  

So what do we do?  The technical architectures and ideals for todays loosely coupled customer data integration (CDI), MDM, CRM, et al had their genesis back in the early 1990’s as computer scientists began to move beyond transactional processing into multi-system interoperability.  Spurred by noted visionaries (e.g., Shaku Atre, John Zachman) and industry powerhouses (e.g., IBM, Hogan) this fledgling specialization concentrated on house-holding, cross-selling and enterprise data management using internal and third-party data stores. 

Fast-forward nearly two decades and we have begun to deploy new, compartmentalized technological solutions that address fraud, MDM segregation, internet SaaS widgets, n-cube management, collection agents, and complex predictive modeling.  All highly specialized and until recently, not well understood.  For many mortgage operations, these were left to the “geeks” and mathematicians in the backroom to devise.  They were classified as “valuable,” but until recently we were not quite sure why. 

Specialized intelligence (e.g., business, consumer, competitive, and financial) operations have now repeatedly sprang up in those dark corners of our operations.  Surrounded by terabytes of structured and unstructured data elements, these specialized initiatives sought to identify who was “the consumer” and why they “bought” products and services.  Moreover, what is THE algorithm or profiles that definitively lead to customer profitability, successful channel outreach, loan remediation, and growth potential?  The crisis has brought sanity to these arcane discussions and a hope that we can and will achieve a sustainable set of integrated customer mining solutions with both internal and external informational sources.

However, while noted vendors are introducing new solutions to cope and combat changing consumer dynamics (e.g., XSell, The Turning Point), we need to ask ourselves if we have a cohesive consumer architecture that can properly leverage and adapt these various, interconnected solution sets.  This includes not only e-processing but risk mitigation, “cross-holding,” retention, targeting, and on-going consumer behavioral assessment. 

I must ask, are we playing a game of “consumer Whac-a-Mole” with our approach to solve complex customer problems, without understanding the life-cycle and interoperability demands within the existing and future infrastructure?  What about the regulatory, compliance, security, and privacy demands that are shifting fast, driven by negative public ratings surrounding our industry?  How do the pieces fit together to avoid failure and excessive costs?

The use of innovation and innovative methods and techniques permeate the industry’s existing and announced customer and risk management solutions.  We now have meaningful and valuable vendor offerings that work today.  Yet, we have “players in our game” that are trying to target that consumer when and where they resurface – we’re reacting more than predicting. 

This cerebral shift will result in some fundamental organization changes along with internal accountability – marketing, consumer advocacy, master data management, compliance, community affairs, and even the Hope Now Alliance to name but a few.  We must become orchestrators of tech innovation in cooperation with associations, activists, and our vendors.  Our ability to perform multi-dimensional, data integration has advanced considerably.  How are we prepared to utilize it efficiently and competitively?

I have one last rhetorical question.  As we deploy and utilize customer technologies how will they be received by these prospects we so eagerly seek?  As we suffer the worst crisis of confidence since the Great Depression, we need to remember that these solutions can “cut both ways” – intentionally or unintentionally. 

In closing, I would encourage organizations and vendors to comment about your experiences — what has worked, what challenges must be overcome, and what are the on-going governance and oversight needs that to be established for sustainability.