Roman Lenzen

Roman Lenzen

Quaero
Roman Lenzen, vice president, Analytics, with Quaero Corp., has delivered value-added analytical processes to several industries since 199. His significant analytical, technical and business process experience provides a unique perspective on improving process efficiency and customer profitability.
  • 0 comments 581 reads
    Posted on 2012-01-04

    Now that the New Year is upon us it is time to review analytics in 2011 and look ahead to 2012.

     2011 in review:

    • Analytics became a Sport: Several analytic competition sites became highly visible in 2011, the most prominent being Kaggle.com.  These sites host analytic competitions that anyone can enter and provide a rich learning environment for both new and seasoned analytic professionals.  The winners are not just those who place in the money - the winners are everyone who participates and learns within the community environment.   
    • Moneyball and Analytics Hype:  Speaking of sports, I'm a baseball fan so I naturally enjoyed the movie Moneyball.  Analytics hype continued to climb in 2011 with the help of that movie.  See this recent post for...
  • 0 comments 736 reads
    Posted on 2011-11-30

    Customer Analytics seems to be one of the hottest topics in business today, with the newly coined 'Data Scientist' role in high demand.  And with all hot topics there is hype and reality.   The reality is that analytics can provide a big impact on bottom line profits.  The hype is that it can provide a significant ROI in all environments.  In most environments, you need three critical components for customer analytics to provide a significant impact:

  • 0 comments 615 reads
    Posted on 2011-10-25

    In a previous post I laid out the process to create the collections database and initial collections analytics during acquisition.  This post will focus on how to utilize the database and analytics within proactive communications in order to optimize collection efforts then the ongoing tracking and enhancements required. 

    1.       Treatment Strategies: Analytics alone will not enhance collections efforts.  The predictive analytics and segmentation systems must be converted into actionable treatment strategies which will 1)reduce the cost of collections and 2)ultimately, minimize the outstanding debt through increased collection payments.  Treatment examples which need to be setup and tied to each individual collections customers include (again, these are examples)

  • 0 comments 817 reads
    Posted on 2011-06-27

    I provided thoughts on how to bridge the actionable analytics gap assuming the analytic skills, tools and resource gaps are fulfilled and yet a large analytic divide still may exist in your organization.  In this post I would like to go back and address analytic skills, resources and tools.  I'm not going to provide suggested solutions, as all environments differ, but, I would like to provide key considerations as there are many analytic buzz words and hype in the marketplace, some of which are valid and some should be hampered. 

    Analytic resources require several skills including database, technical and analytic skills as well as a strong business acumen.   A few key considerations to keep in mind-

  • 0 comments 924 reads
    Posted on 2011-06-13

    Customer insights are best delivered in a visual fashion, so the business constituencies may easily digest the information in terms they understand.  To enhance your visualizations, and bring them up to warp speed, a time dimension should be added.  Adding a time dimension to your insights allows your audience -

    • To better understand current performance in context with previous performance,
    • better enables the ability to identify effects on performance,  
    • gets the audience more engaged allowing them to better digest the information,
    • shows trends not available in static insights / reports without time dimensions and
    • potentially allows the audience to visualize future short term forecasts based on previous cycles and event impacts

    Adding a fourth dimension (time) to your insights is becoming easier-and-easier at reduced costs.  As an example, the Google reporting and graph API may be used to...

  • 0 comments 816 reads
    Posted on 2011-04-26

    Deriving insight from historical customer and prospect interactions (online and offline) has several implications, many of which can positively affect bottom line revenue or profit if understood and implemented correctly.  Presenting the insight in a form so that the business constituencies may easily digest the information, and start to visualize how it may be implemented to effect bottom line revenue (or profit), is one of the biggest barriers in insight and analytics adoption today.  What are the primary issues in bridging that analytics gap?  Skills, tools or resources?   Yes, you need the right tools and resources, with the right skills, but those are table-stakes and many institutions are still not bridging the analytic divide well with all three in place. 

    Assuming skills, tools and resource gaps are fulfilled (I know, a big assumption ... a separate topic) what are the typical issues why institutions are not getting the biggest analytic bang for their buck? 

    ...

  • 0 comments 664 reads
    Posted on 2011-03-14

    Online ad spend is predicted to reach $100 Billion in 5 years, up from $61 Billion in 2010.  Who is best poised to tap into that incremental online advertising revenue, other than the advertisers?

    Paid search aside, which is dominated by the behemoths (Google & Yahoo), it will be those firms who can store online data, analyze it quickly and make the insights actionable within all channels in order to make the advertising more relevant to the consumer.  Those industries that are best poised include:

  • 0 comments 1,802 reads
    Posted on 2011-01-11

    Now that we rang in the New Year, I thought we should take a look back on a few major 2010 analytic landmarks and then look ahead into 2011.

    2010 in Review

  • 0 comments 709 reads
    Posted on 2010-11-17

    “When I can't see clearly, I know you’re still there.

    When darkness swarms around me, I know you’re still there.”

    When it comes to online footprints we are starting to see the light and it’s old technology that is slowly illuminating those footprints and tying the steps together effectively so analytic consultants like myself may convert that data into actionable insights.

    Many online tracking systems predominantly use javaScript tags and cookies to track online behaviors and tie individual user’s sessions together over time.  This was a nice way to track 10 years ago when all devices that accessed the Internet were hard-lined computers with out of the box browsers with JavaScript and cookies auto-enabled.  However, many different devices now-a-days access the Internet (some of which do not handle JavaScript and cookies) and consumers are becoming more Internet and browser...

  • 0 comments 1,121 reads
    Posted on 2010-09-28

    In Customer Analytics > Optimizing Your Collection Efforts, Part1 I focused on how companies are enhancing their collection efforts by setting up risk treatments at the point of acquisition.  Now that the customers are on board, and a portion of the customers have entered into collections, what can be done to optimize collection efforts and thus minimize the amount of outstanding debt?  All environments vary but the following steps set a direction in optimizing collections efforts.

    1. Collections Database: Develop a collections database which should include-

    • Customers currently in collections with their previous transactional data back to when they activated
    • Customers previously in collections with their transactional data and their collections payment history
    • A collections customer contact history (both...