Archive for the ‘Data’ Category

Measuring — Beyond FSI Nuclear Winter

Tuesday, September 30th, 2008

By Mark P. Dangelo

www.Innovative-Relevance.com

Another week has come and gone – more failed institutions, more lost jobs, and more botched policies.  A circus-like atmosphere has been the backdrop to the largest bank failure in American history, as the perverse “fundamentals” of prior operations and judgment underscoring the folly of the industry “acceptable practices.”  What strikes me as very peculiar is what was being measured?  What were the risk-driven “levy stages” and when were they breached?  Did innovation and technology provide a false sense of security, or did we completely miss what was important, their interdependencies, and the complexity of the “real markets?”  It seems the only thing missing was Emperor Nero.  It is past time to move forward with new ideas and leaders.

Since 2004, the ability of our industry specialists to measure and integrate disparate data sources has exponentially increased.  We are able to use highly complex, GUI, web-based software that provides unprecedented analysis of both static, transactional, and summarized databases and repositories.  Our industry has been focused on standards, registration, and storage – all requirements for robust and comprehensive assessments and projections.  Holistically, these process and technical components, if used properly, can lead to decision innovation and market insights previously unattainable.  Super job to the visionaries and technologist who provided these abilities!

However, if we had these disruptive innovations at our fingertips, then why weren’t they telling us of impending value destruction?  Where was the fundamental nexus between business and competitive needs versus operation performance and risks — mentioning just a few of the potential key indicators (e.g., performance, management, and industry)?  Like the financial plans being bantered in Washington, the understanding of the issues and their solutions are neither trivial nor commonplace.  But, unlike some, I decided a picture may be the best method to frame discussions, improve our situation, and make our future environment just a little better.


When I completed the macro model above, it became apparent that the simplistic and siloed world that previously provided noted pundits and vendors with their “claims to fame” were no longer extraordinary or, dare I say, innovatively relevant.  So let’s leave the yelling and screaming to the politicians and see if we can determine where we go from here.  Consequently what is the environment that must be measured and how has it appreciably changed? 

There is no singular prescription or one size that fits all for everyone.  Each must be tailored to the organization and their business model.  Yet, convergence of ideals and practices can be reached if we ask the proper questions allowing a focusing of energy and organizational resources. 

  • Is the mere pontification of measurements and monitoring mechanisms sufficient?  What are the various, multi-level indicators that must be interconnected to promote improved understanding at many, distinct levels?
  • Is the organization able to quickly act upon the measures and associated indictors before the circumstances are unavoidable?  What is the cause-to-effect correlation and significance?  What are the typical false-positives that must be factored out objectively and subjectively?
  • How can the discipline of Knowledge Orchestration benefit the linkage of “old school sources and uses” with new databases and techniques needed for complex interdependencies?  Are there one-time indicators and aggregation demands that can be both historical and proactive?  How will orchestration help with conflicts, divergent standards, multiple dashboards, and multi-dimensional analytics?
  • What are the techniques and methods that must be organizationally internalized to ensure action and adaptability?  What are the key categories that must be measured not just in isolation but in collaboration with various new data sources all with vast degrees of statistical confidence and completeness?
  • How will the investor issued financial instruments (e.g., covered bonds) be managed operationally as these products require a complete linkage of e-assets (e.g., origination, servicing, securitization, market pricing, ratings, et al)?  Who will be responsible for creating these visionary solutions and where will they get the skills needed for assembly and adaptability?
  • With the regulatory oversight pendulum set to swing to the extreme part of the behavioral and psychological continuum, how will singular compliance data sources be integrated?  How can multiple competitive repositories be proactively and efficiently linked to meet local, state, and federal requirements?

And the list above goes on.  As I said earlier, the availability of tools and methods to help organizations have rapidly improved and will continue to expand with new delivery methods and mathematical understanding.  Templates, models and advanced dashboards have been a great assistance since 2000 in providing insight into operational and governance processes.  Now, we must move beyond the singular innovation of common dashboards and BI (business intelligence) solution sets into a more thorough and adaptable series of measurement layers that can aid more than one group at a time.  The innovation is available – we only have to reach out and embrace it.

In closing, as the echoes of thunder reverberate across the sky shaking the ground and its inhabitants to their core.  Industry rain turns into sleet.  Sleet gives way to a blizzard.  The piles of frozen assets and illiquid lubrication for the financial machines have turned off the spigots of funds for both Wall Street and Main Street.  “Financial Nuclear Winter” has demonstrated its cleansing, brutal wrath.  Nevertheless, unlike poetry and the movies, our story doesn’t end here – it is just beginning. 

If we are to believe in our American future and the future of our workforces and jobs, our measurements and the associated monitoring of business and operating practices must be fundamentally different.  We cannot allow the so called industry pundits and leaders of the past to permanently taint our future.  They, like the toxic assets they left, must be jettisoned.  If not, the cold and brutal silence of Nuclear Winter will remain for a long time.

 

Specchio, Specchio…

Tuesday, July 1st, 2008

By Mark P. Dangelo

www.Innovative-Relevance.com

One of my mentors used to tell me this story as a humbling, learning lesson.  A few years back, one of our American presidents was on a PR campaign.  He was visiting a nursing home.  He met a man walking down the hallway and went over and shook his hand.  He said, “Do you know who I am?”  The man looked at the president, but did not recognize him.  He replied, “No I don’t sir, but if you ask one of the nurses maybe they can tell you.”  

Contemplation is a humbling experience.  If you ask the right sequence and series of questions, sometimes, just sometimes, business and technological innovation can surface in the strangest ways.  The relevance of innovation is frequently revealed amidst the failures of our past. 

Recently, I was asked by a group of potential investors what I thought were the top business and technological questions on the minds of mortgage / FSI executives – what encompasses their innovation and survival agendas.  Listed below are a few of the categories and questions that came from these rigorous reviews in our struggle to frame relevant innovation.

·         Customer and Privacy:  The consumer is vanishing — so where are they going?  What effectiveness can be realized, sustained and made adaptable?  Do we really have a product and service strategy that makes sense?

·         Personnel:  Do we have the skill sets of yesterday or the ones needed for tomorrow?  How will we find and retain those personnel that can lead us forward with a strategy yet to be crystallized?  Can our personnel be revitalized and reeducated?  How?

·         e-Strategy:  With all the coverage and euphoria on e-solutions, what makes the most business sense for our firm?  What will it take to achieve and at what cost?  Can the return be sustained and made into a competitive distinction for advantage and profit?  Can mortgage processes assimilate orchestration improvements from the trading world (e.g., SIA, DTC, STP, T+n, FIX, exchanges)? 

·         Process:  How can we holistically examine the processes from end-to-end and remove those that are archaic and non-value added?  How can technology be used as a catalyst to ensure efficiency and rigor?  Do we even know what processes we must develop to meet the changing market, consumer and regulatory demands?

·         Sourcing / Outsourcing:  With labor arbitrage no longer the driving force, what are the criteria needed for selection and on-boarding?  What will be involved with knowledge processes in terms of transition, transformation or governance?  What will “level 3” rigor and insight provide as we begin to commoditize ITO and BPO offerings?   Will travel, security, privacy and public sentiment deliver a new operating mix?

·         Regulatory Compliance:  Can SOX and Basel lessons learned be utilized to create an integrated operational compliance solution addressing current and proposed guidelines?  How can we avoid costly “one-off” solutions and vendor relationships?  Where can we find knowledgeable guidance?

·         Orchestration:  How can orchestration, driven by manufacturing techniques, provide a transformation and restructuring agenda?  Do we know how to orchestrate as compared to simple integration?  Do we possess the innovators and new thought leaders, or are we just using old practices with new labels?

·         Architecture:  What are the iterative blueprints for catalyst change?  Are they cohesively identified and modeled?  What disciplines and methods are we using and are their better ones that we must consider?  How do ITIL, SaaS, widgets, SOA, and the rest of the “alphabet soup” of acronyms fit into the mix? 

·         Infrastructure:  What is it really costing us for the value returned?  Does it conform to the architectural strategy and models or are we divergent from planning to execution?  How can it be “ever-greened” without a “lift and shift” or total replacement?  Who do we trust?  What are the real life-cycle costs? 

·         Data and Standards:  What is the totality of our data and how can it be used?  Are standards useful or part of the “old guard” dogma influenced by aging ideals?  How can we manage the vast array of disparate data types and sources for documents, reporting, integration, investors, legal reviews, and compliance?  What will it cost?

·         Due Diligence, Risk Management, and Legal Representation:  In good times, IT due diligence consumed 1% to 3% of budget – what will a caustic operating environment inflict on marginal pressures?  Do our legal practices and practitioners represent our “best face forward” or are we inflicting even greater damage on our brand and reputation with existing loss mitigation and foreclosure practices?  Should we treat the AG’s (attorney generals) as foe or embrace the need for change – compromise?  How much “fraud” has been endured and taken into our portfolios within the CDO / MBS instruments?

·         Competency and Investment:  What centers of competency need to be expanded or developed for new market practices and offerings?  With top line revenue evaporating, LOC frozen, and PE ratios at historic lows, how can we be expected to reinvent ourselves without sufficient capital?  Moreover, what infrastructure is even demanded given the legacy environment already in place?  Should we outsource anything not deemed to be core? 

·         Community:  The housing indices point to communities and homeowners in complete disarray (e.g., Shiller, MBA), so how will our actions be aligned with the “right thing to do” and our ability to stay in business?  How can we embrace not-for-profits and community activists without incurring additional liabilities or negative coverage? 

So why did I frame these particular questions?

Just nine months ago we thought everyone knew us and respected us.  Our leaders were icons of success.  Our solutions revered by the establishments, our support teams, and those that sought to acquire our operations.  When asked by consumers, investors, and politicians, many individuals and organizations thought they knew us – we were evidently someone else.  Today, we are like the story.  No one is sure who we are and we’re not sure how innovations (e.g., process, business and technical) can be used for offerings we must possess – if we only knew what they were. 

We cannot be like the old CIO who once said, “You start coding, and I’ll go figure out what they want.”  So when you contemplate your next move, review that next system, or determine your next series of layoffs, ask yourself, “Am I asking the right questions for the new business and economic realities?”

If you are wondering about the title, it is Italian for “Mirror, Mirror.”

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.