Archive for the ‘Dashboards’ Category

Anticipating Market Trends and Their Implications

Monday, September 20th, 2010

By Mark P. Dangelo

Innovative Relevance®

There is still much to be gloomy about across many segments within the U.S.A. — economy, housing, and finance to name just a few.  It appears as though many of the ill-conceived ideas and financial innovations that propelled a decade of prosperity are now contributing to high levels of sustained unemployment, regulatory burdens, and historic deficits. 

Looking forward, the next 15 months will still hold a vast amount of uncertainty and risk along with a substantial amount of political theatre.  Yet, does that mean we do nothing or very little to prepare for the market events and consumer dynamics unfolding all around us?  Is the new BAU really a retro BAU as some have projected?

Positively, indications from dozens of industry leaders point to converging themes and series of actions – although the transparency of these trends still has not been fully revealed.  However, as clarity is achieved, nearly every organization can benefit from these solidifying trends during the remainder of 2010 and into 2011. 

Yet, the evolving trends require the selective integration of financial processes across the spectrum of origination, servicing, and capital markets.  No single idea or pure-play event is on the horizon to ensure that market intricacy is wrapped up in a plug-and-play offering or one-stop vendor solution.  Such a rudimentary belief system is what materially contributed to misinterpreting systemic risks and creating unsustainable mortgage and finance models.

But trends are funny things and their advantages often multi-faceted.  Let us examine just three of the most interesting and misunderstood.

Economic Reality

For an industry, now at one-third its 2007 size, is there life after a three year gutting of businesses and skills?  Have we reached the bottom and market capitulation?  Can technology be of any use, in a market that will be stagnant for the next 3 to 5 years, beyond efficiencies or traditional process improvements?

First, and to be very blunt, economic theory and those who practice it have demonstrated that their models, forecasts, and suppositions are not good predictors of future reality and the complexity of today’s financial markets.  Moving forward, the discipline and rigor of economics will be called into question, resulting in organizations increasing their own business intelligence capabilities in an effort to control and predict future outcomes, risks, and liabilities.  As some economists have indicated, economic disciplines need to undergo a rigorous self-examination if they are to regain public trust.

This void of confidence has spawned an unintended consequence.  It has created a demand for internally vetted intelligence and predictive technology across several primary data taxonomies – consumer channels and behaviors, regulatory compliance, and (bespoke) markets directly linked to dependent products.  Analytics will tie many of the interrelated entities and elements together via multi-dimensional or layered dashboards. 

Since data volumes are doubling every 18 months across the enterprise, and supported by increased access to sophisticated mining tools, it is easy to understand why budgets surrounding the need for intelligence needs are projected to grow at over 25% per year. 

The provisioning needed to support these management defined requirements is also changing.  Considering a backdrop of nearly 10% unemployment now projected until 2012, while facing a hostile consumer base, offshore outsourcing for these knowledge process areas may have reached its peak.   The mix of how to deliver intelligence (e.g., operational, competitive, consumer, financial, regulatory, risks, et al) to the organization has likely been permanently altered to concentrate on inward confidence.

Capital Markets

Capital markets are being reformed to deliver sustainable ABS products spurred on by pending SEC revisions, EC Article 122a, Basel III, and the clearing of derivatives with the Dodd-Frank regulations. 

The need for resurgence of the private ABS market, standing at just over 40% or $350 billion of their 2007, size is clear.  Without liquid and transparent private capital markets, lending cannot be sustained simply by increasing deposit base or via government guarantees.  In addition, the demand and importance of straight-through processing (leading directly into the capital instruments themselves) with rigorous data integrity and standards cannot be underestimated. 

Originators who design their loan processing and vetting from the start with private capital markets as the recipient, will benefit with improved basis point margins, reduced risks, and ensured regulatory compliance (e.g., as proposed for updated EDGAR filings surrounding REG AB revisions). 

Why is this important now?  Just ask RBS with their issuance of $4.7 billion in MBS’s last week, or banks across the globe, as they rapidly staff for an anticipated rebirth of the private ABS and MBS markets. 

Yes, the first iteration of securitization is dead – killed by easy money, lax lending, speculation, and complex, derivative injected, layered securities.  A second iteration has already begun for private ABS as demonstrated by the new market leaders like J.P. Morgan. 

This trend will accelerate in 2011 spurred on by pending dispositions of the GSE’s.  Without a functioning private securitization market, the workouts for the struggling GSE’s will never be politically achieved – nor financially sustainable.

Security

As noted by Maslow back in 1943, security and safety is principal to acceptable human behavior.  This need is transferable into the demand by customers and consumers to be confident, absolutely confident, that the most private information, scores, ratings, and profiles are 100% secure. 

Whereas data storage protection has increased markedly over the last three years, it is the vulnerability of the networks that is gaining increased importance and scrutiny.  Examples of this include HP’s recent acquisition of ArcSight and Intel’s acquisition of McAfee – all at very significant premiums to market valuations. 

This increased focus on the network and accessibility has been a direct result of mobile proliferation and sophistication of devices (e.g., iPad, BlackBerry, tablet computers).  This changing technology-induced behavior has resulted in a complex layering of network points of entry and protections not just for consumer applications, but for enterprise offerings which start at the consumer and touching brokers, agents, loan officers, appraisers, vendors, servicers, and loss mitigation specialists. 

To back up this trend is a one-third increase in budgets projected for FSI organizations specifically targeting network and mobile security over the next year alone.  Factor in regulatory and compliance demands for data – from its originating source to its eventual disposal – and the budgetary impacts are even greater. 

Analogous to the securitization markets being reset (i.e., waiting for “Securitization 2.0”), security is about to take a series of new twists and turns that will govern the next decade of IT skills, business offerings, and consumer protection. 

* * * * * * * * * *

What is very clear is the dichotomy of beliefs and value systems that still must be reconciled in the face of polarized consumers and regulatory vigor.  Stated another way, each market participant believes that the “new normal” will be similar to their accepted models of operation. 

Still, trends frequently mutate as a result of market results and consumer behavior, while spinning a story – or a nightmare – regardless of principles and theories put in place to anticipate them or explain them away. 

As noted recently in the Financial Times, the demand for housing by the consumer actually peaked six years before the market correction regarding ownership rates and housing prices.  Yet, transactional technology focused on a need for greater scale and throughput dominated the industry and their back-office operations. 

It is not atypical for market actions to be out-of-phase against the trends.  Frequently trends were left unnoticed or discarded due to the fact they did not meet the expectations of those who needed to listen. 

It is human nature to dismiss contradictory data when it is outside our traditional models.  It is easy to dismiss ideas with foreign words or rebuke the trends as irrelevant because they appear foreign – beyond traditional understanding.  Retrospectively, hasn’t that already been tried, and failed?

Regardless of beliefs – change will happen and retro Luddites will fail.  So, who will be listening or adapting to market, consumer, and financial trends?  Who will fail to recognize the signals too late – when the end is near?  Who will heed the calls and profit from change? 

Snapshot - A Survey of Cloud Computing Analytics and Usage

Wednesday, December 2nd, 2009

Taking the pulse of markets and their participants

By Mark P. Dangelo

www.Innovative-Relevance.com

 

As the end of this decade draws to a close, there has been great talk in the media about the sesquicentennial publishing anniversary of Darwin’s Origin of Species.  Some refer to the “animal spirits” that are contained in the dealers of Wall Street, the industry moguls, and the activists, who are trying to tame an uncooperative world.  However, just like Darwin projections and the science around evolution, a new “technical animal” called cloud computing is changing its genetic structure every day. 

One thing this is very different moving forward with the birth of cloud solutions, is that CIO’s and CTO’s will be measured by business metrics – rather than overhead metrics of cost management and infrastructure spending. 

Additionally, there are two key trends that are rapidly expanding regarding the usage of cloud computing resources and on-going viability – services and “all-in-one” offerings. 

From the survey feedback, the use of services appears to be a key component and concern for many businesses and IT professionals.  Who to trust?  Are they knowledgeable?  What cost and on-going commitment is required? 

Regarding the “all-in-one” offerings, companies are impressed with the idea of a “one-stop-shop,” but are reluctant to embrace an all-or-nothing solution that appears on the surface to be expensive with considerable lock-in periods.  However, with an increasing number of vendors all providing hardware, software and services in an end-to-end bundle, the challenge for purchasers will be evaluating each on their merits efficiently aligned with corporate needs.  Specifically, only purchase what is needed and not pay for unused or unnecessary options.

The survey was constructed to focus on seven distinct areas of interest:

·         Enterprise and Department Usage

·         Belief in Existing Analytics

·         Importance of Existing Data Sources

·         Importance of Existing Analytics

·         Cloud Computing Challenges

·         Cloud Computing Acceptance

·         Cloud Computing Preparedness

Enterprise and Department Usage

Survey results can often confirm what you have expected or in some occasions, produce insights that shed light on emerging trends or organizational beliefs.  This on-going survey was no exception.

When asked if quantitative measurements were important to the enterprise, nearly 60%[1] of the respondents said they were high to critical, yet not quite 50% said they were effective.

Conversely, only 21% of the respondents when asked the same questions about their departments or divisions, said that quantitative measurements were effective, but more than twice as many said that these same ineffective measurements were high to critically important (44%). 

The implications of these results suggest that internal process measurements were not meeting the needs of the local departments / divisions, even though the demand for measurements was moderately high.  Moreover, these same individuals surveyed believed that the enterprise had more effective analytics and that they were almost 150% more effective than their own.

Belief in Existing Analytics

While the respondents firmly indicated that the organization as a whole was better off than their departments or divisions, their belief in the value of their analytical approaches was strong (see Figure 1). 

A deficiency identified with the existing analytics was their ability to provide predictive intelligence – only 14% thought that what they were doing was of high or critical importance. 

The only other challenge potential was the use of analytics to support the delivery of strategic goals or the achievement of operational strategies – 30% identified these as low or NS (not significant). 

Importance of Existing Data Sources

The importance of existing data within the organization for the most part was what analytical specialists would expect.  First, the use of spreadsheets remained a valuable source of analytical intelligence (see Figure 2).  Moreover, point based application systems continued to be the master source for many data analysis and synthesis operations to support extraction of information into the spreadsheets.

This series of questions clearly points to potential conflicts with the use of information and the subsequent manipulation of information by desktop toolsets (and the security, logic, and integrity within them). 

The surprise factor was the 86% moderate to critical importance placed on non-internal or third party data sources for analytical decision.  Clearly, information integration, archiving, and transformation have become a primary need within business and IT departments.

Importance of Existing Analytics

Whereas, current analytics and data sources were given high marks, their importance for various decision making or operational performance were varied (see Figure 3). 

For example, 77% of respondents clearly indicated that analytics for on-going improvements or quality of delivery were of moderate to critical importance.  Yet, only 71% said that the existing data and sources were important for risk analysis and/or mitigation. 

Puzzling was that only 37% who identified analytics as important for revenue or profit improvements given that margins are always measured.  This suggests a disjointed view and potential misuse of analytics across the enterprise.  Meaning, while the departments and divisions focus on exposure and improvements, they failed to see the potential direct correlation to organizational profits.  Striking still was the lack of moderate importance (just 6%) assigned to analytics for regulatory compliance.  The results were very strong (68%) that identified analytics as important for regulatory compliance but a high percentage (25%) indicated that analytics were low or non-significant for meeting regulatory demands. 

Cloud Computing Challenges

While the source and uses of existing analytics yielded a few surprises from the expectations, the introduction of cloud computing and the data sources it generates created some clear challenges (see Figure 4). 

The biggest surprise was the indication by both business and IT professionals that the introduction of cloud computing materially changes the future role of IT – nearly 78%. 

Equally insightful was the 80% of respondents that said the usage of cloud computing increased the risks of meeting regulator needs and agency guidance.

As expected, respondents expected data integration challenges with cloud computing – 29% indicating high to critical issues. 

What was expected, but also telling, was the 42% who said they expected high to critical security issues.  However, equally telling was the 29% who said security challenges within cloud computing were low or non-significant. 

Cloud Computing Acceptance

While the respondents were concerned with the use of cloud computing and meeting regulatory compliance, 50% also felt that it was high to critical in meeting oversight and governance needs (see Figure 5). 

Moreover, 72% believe that cloud computing would be of moderate to critical significance to meet changing consumer and business functionality in the timeframes demanded by the markets.  The respondents also stated that ROI of cloud computing was a major factor in its adoption, but 56% indicated that cloud computing was non-significant or of moderate importance for consumers or customers.

Cloud Computing Preparedness

Finally, the most foreboding measurements regarding cloud computing arrived in the area of organizational preparedness (see Figure 6). 

In every category the ability to perform and deliver on the promises and requirements of cloud computing garnered very substantial non-significant or low ratings.  Many times, this single category gained 50% of the responses.

Regarding the ability to address security challenges, only 17% said that their organization rated high to critical capabilities.

The skills demanded for data integration across the layer of cloud applications received only 24% in the high to critical range.  This alone signified a clear challenge and opportunity surrounding skills, standardization, outsourcing, and correlation of growing data sources provisioned outside the traditional intranets.  

Yet, while there were concerns surrounding data integration abilities, the use and deployment of analytics using cloud computing data sources increased by 3% to 27%.  This margin is not significant but it may point to a greater belief that once the data is properly integrated, the ability to summarize, augment, and transform raw fields will be easier for analytical personnel. 

Finally, when asked a non-specific question on the general cloud computing skill sets internally available, 28% of the respondents believed that their organizations had the necessary high or critical abilities to effectively implement cloud computing – its data, analytics, and security.

Taken separately, each cloud computing skill category performed poorer than the aggregation. 

In Summary

The snapshot of this survey clearly points to a belief that internal analytics apart from cloud computing are established and reasonably trusted.   However, there were clear areas of opportunity regarding their usage and robustness.

Additionally, when cloud computing principles and challenges were introduced, there was a material reduction in the comfort level associated with this rapidly evolving set of integrated technologies.  The most important clearly pointed to data integration and security protection. 

[1] Note, for simplicity of presenting the survey findings in this forum, all numbers were rounded to the nearest integer.


Proven Technology, New Paradigm

Tuesday, October 20th, 2009

By Mark P. Dangelo

www.Innovative-Relevance.com

One of the few bright spots in lasting recessions is the birth of relevant innovation. These are the new products and services that markets and consumers want, which are pragmatic and sustainable regardless of the economic plight surrounding them. More new businesses start in times of chaos than in times of prosperity. The seeds of the next wave of business processes and supporting solution sets are growing.

Yet, not all relevant innovation is from quantum breakthroughs in technology. Often times the most momentous advancements are those that involve the layering of proven technologies in new and unique alignments. Additional gains are made from using modified processes, procedures, and formulations. Finally, the remainder is driven by new educational standards, skills learned, or via collaborative intelligence.

Let’s explore two potential paradigms that are quietly emerging to those seeking new uses for proven technologies.

A Vision to Look Beyond Today

The markets have seen an explosion of solutions targeting fraud in all its forms – misappropriation, misstatement, bribery, corruption, identity, occupancy, income, appraisal, shot-gunning, and the list goes on. The advances in data aggregation, statistical modeling, and integrity have given originators and law enforcement agencies new tools to combat illegal acts. But, whereas these increasingly robust solution sets are eliminating fraud in new, refinanced, or modification loan originations, there are additional benefits yet to be booked with the potential extension of solutions.

For example, what struck me as having huge potential during the recent MBA Annual event was an announcement by MERS and Interthinx on their National Fraud Prevention Solution. Why did this standout? What was missed by the invited press was the underlying and potential supply chain altering principles beyond identifying fraud just during the origination processes.

When examined along the entire value or supply chain of mortgage processes – origination, servicing, securitization – the existence of a common source of aggregated information potentially offers touchpoints for bonds and equities, repurposing existing asset classes, insurance, government regulators, and of course, all aspects of complex servicing. In manufacturing terms, think of it as forward and reverse supply chains where parts are sourced in many places, but assembled in one place to create a working product.

Examined differently, if fraud information is good for the origination of a loan, why shouldn’t it be used for the same loan, borrower, and institution throughout its life-cycle? Case in point, if the loan is non-portfolioed and securitized with other “quality” loans, then over its life should the borrower or trustee overseeing the tranches (e.g., covered or hybrid bonds), all sourced aspects of the loan must be permanently accessible. The same will hold true for portfolioed loans and the new Basel rules requiring greater capital reserves in 2010 against held assets.

After all, the “originate and forget” model is dead – which is why private securitization went from nearly 65% of the market to under 5% in just three years. There are parallels and lessons learned in other industries – insurance, equities, and healthcare.

If fraud is rooted in risk mitigation, then the data for risk analysis will require a comprehensive integration of the entire data or mortgage supply chain for life. Risk analysis and the underlying agencies and regulators, which will be taking more active governance roles, require a non-siloed vision. A game-changing option is made available once we look beyond the “false” industry containers of information, and into the greater comprehension demanding new operating paradigms.

While the MERS and Interthinx announcement was positive, there is a potential for a permanent shift that reverberates across the industries – like a pebble being dropped into the center of a pond.

Think Differently, Act Aggressively

With nearly 1.7 million borrowers three or more payments behind last month, the challenges of loan modifications are still mounting. Whereas, the government has claimed success for on-going workout initiatives – albeit it permanent or temporary loan restructurings – according to RealyTrac nearly 940,000 were in foreclosure filings during Q2 2009.

In general, the optimistic industry personnel are trying to stress the positives – low interest rates, government incentives, and a hope that the bottom has been put into the market free fall. Others aren’t so hopeful. But whether you believe in a recovery or more pain, one thing is very clear – how do you reach out to a customer in trouble or those seeking advice?

The complexity and breath of answers stagger the imagination. However, what is evident is that no one method will work for all classes of loans or customers. A multi-dimensional approach using all available market and technology channels needs to be cohesively integrated to ensure the best for all parties involved – borrower, lender, servicer, and investor.

One proven technology that has been used to drive consumers to secure new loans was search engine optimization or SEO. SEO is well known to marketing professionals and ad agencies. Many users commonly associate SEO with Google, Yahoo, or other search engine rankings and ad placement. It worked great to drive potential lenders to sites during the “go-go” credit of this last decade, but does it have a use now?

The short answer is yes. SEO is undergoing a rebirth among a new class of innovative firms (e.g., Enquisite), which move beyond the mere generation of prospects and into ROI, analytics, and performance. The new solution sets employ “organic” and paid placements to arrive at a composite of contacts who may want assistance and who may have been doing research on your corporate “landing pages.”

The methods of achieving this result are beyond this article, but suffice it to say that there are fundamental shifts in the way SEO is being used – for today and tomorrow. Some additional uses for performance driven SEO are in support of compliance, loan modifications, servicing, and to address political concerns that the financial institutions are not doing enough to reach out and assist struggling homeowners and consumers at risk.

For those in the retail channels trying to assess their customer approaches, novel macro uses of SEO are beginning to capture the imagination, while influencing operating initiatives. Although, many thought they knew what SEO was, the rules are being rewritten by relevant innovators eager to assist and able to deliver.

In summary, SEO is increasingly becoming part of closed-loop systems for channel deployments and operating feedback supported by adaptive process improvement techniques. It has moved well beyond simple lists, clicks and conversions.

Adapting a phrase from history, it can be said, “I never knew SEO, but it knew me.”