Discusses the creation of an in-house tool for consistently assessing vendors’ financial health. Covers such topics as:
• Advantages of an in-house system versus a third-party service
• What are the recommended inputs for an in-house tool?
• Methods for consistently translating the data into actionable recommendations
• How do you visually communicate financial data for laypeople to understand?
• Tying financial health assessments to decision-making and clinical development activities
1. Traffic Lights and Threat Levels
An In-House Tool for Consistently Assessing
Vendors’ Financial Health
Matthew Eckman
2. Disclaimer
The views expressed in these slides and the accompanying
discussion are my own and do not necessarily reflect the views
of—and should not be attributed to—Genentech or any other
entity associated with the Roche Group.
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3. Why is it Important to Analyze Vendors’ Health?
Problems abound for sponsors, vendors alike
Persistent economic troubles
Drug development challenges
Billions at stake
Outsourcing on the increase
Industry pain points
Irrational competition
Private equity involvement
3
4. Why is it Important to Analyze Vendors’ Health?
“Controversial financing strategy” hurts acquired firms
“Dividend recapitalization, which is legal, is a shortcut…Instead of
waiting to take profits when an acquisition is resold, the private equity
firm arranges for the company to borrow money…then channels the
proceeds to itself and its investors through a dividend…Some have
criticized the dividend recap strategy for saddling companies with debt
and for the 15 percent U.S. tax treatment often applied to the payouts,
which is far below the 35 percent top individual income tax rate.”
Reuters analysis, December 6, 2012
Link:
4
5. Advantages of an In-House System
Recommended Inputs
Translating Data into Action
Visually Communicate Financial Data
Tying Financial Health Assessments to Decision-Making
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6. Comparing In-House Versus Third-Party Tools
After initial investment, advantages favor in-house
Criterion In-House Third-Party Tools
Source of data
(public companies)
Vendor
Published financials
Newsfeeds
Public, subscription data
feeds
Published financials
Newsfeeds
Public, subscription data
feeds
Source of data
(private companies)
Vendor Indirect benchmarks
None
Customization/
prioritization
Complete Limited to none
Resource
intensiveness
Significant (upfront)
Moderate (ongoing)
Minimal
Cost intensiveness None (spreadsheet)
Minimal (database)
Moderate to significant
(per-use and subscription)
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7. Ramifications Of In-House Vs. Third-Party Tools
Significant differences exist
Financial preferences and concerns
• Vendors are business partners, not investments
• GAAP*/IFRS* vs. non-GAAP*, EBITDA*, net debt, etc.
Increased importance and attention
• Finance, risk professionals joining outsourcing, procurement groups
• Risk-based award, book-of-business decisions
Visibility into tool construction, output
• Internal consistency vs. what’s “most accurate”
• Redirects nature of dialogue with vendor
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* See glossary at end of deck
8. Advantages of an In-House System
Recommended Inputs
Translating Data into Action
Visually Communicate Financial Data
Tying Financial Health Assessments to Decision-Making
8
9. Recommended Inputs for an In-House Tool
Simple concepts to consider
Use multiple facets of financial performance
Emphasize ratios and two-step tests
Avoid using too many market-based measures
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10. Recommended Inputs for an In-House Tool
Simple concepts to consider
Use multiple metrics in the same family
Emphasize common financial line items
Exploit forward-looking measures
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11. Possible Inputs for an In-House Tool
Many options exist
Financial Integrity
• Independent auditor opinion
Bankruptcy Prediction
• Altman Z Score
• Morningstar Solvency Score
• Morningstar’s Distance to Default
Score
Customer Concentration
• % of revenues from top-1/3/5
customers (particular service and/or
overall)
Profitability
• Sales & income trends
• Operating, profit, FCF* margins
• ROA*, ROE*, ROIC*
• Retained earnings, EBIT*,
revenues/total assets
• FCF*/total revenue
Liquidity
• Cash, current, quick (i.e., acid test)
ratios
• Net working capital/total assets
Denotes forward-looking metrics
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* See glossary at end of deck
12. Possible Inputs for an In-House Tool
Many options exist
Financial Leverage
• Operating cash flow vs. current,
long-term liabilities
• Interest coverage ratio
• FCF* to interest expense
• Morningstar's Cash Flow Cushion
• Total liabilities/total assets
• Total liabilities/total equity
• Total liabilities/total capital
Financial Leverage (continued)
• Net debt/total capital
• Total assets/total equity
• FCF*/total liabilities
Operating Ratios
• Backlog and backlog conversion
trends
• Receivables turnover
• % of receivables from top-1/3/5
customers
• % repeat clients
Denotes forward-looking metric
12
* See glossary at end of deck
13. Advantages of an In-House System
Recommended Inputs
Translating Data into Action
Visually Communicate Financial Data
Tying Financial Health Assessments to Decision-Making
13
15. Methods For Translating Data Into Action
Be particular about text
Use enough…
…but don’t use too much.
Customize some text…
…but focus on boilerplate language.
Avoid financial jargon…
…in favor of layperson descriptions.
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16. Methods For Translating Data Into Action
Composite scores can facilitate understanding
Singular output
Audited financial statements
36.7% bankruptcy probability
4.8% profit margin
63.9% sales among top 3 customers
89.1% FCF/liabilities
1.32 current ratio
70.4% receivables among top 3 customers
6.4/10
Numerous inputs
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17. Methods For Translating Data Into Action
What can composite scores tell you?
Clear scale and relativity
Current, historical, and average scores over time
Can be tied to explicit risk levels
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18. Advantages of an In-House System
Recommended Inputs
Translating Data into Action
Visually Communicate Financial Data
Tying Financial Health Assessments to Decision-Making
18
19. Visually Communicate Financial Data
Color can supplement text, numbers
??/10
Risk Level:
Sponsor Choice
2.5/10
Risk Level:
High
5.8/10
Risk Level:
Medium
9.7/10
Risk Level:
Low
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20. Visually Communicate Financial Data
Radar plots are compact and information-dense
Financial Integrity
Bankruptcy Prediction
Customer Concentration
ProfitabilityLiquidity
Operating Ratios
Financial Leverage
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21. 21
Visually Communicate Financial Data
Composite scores can be graphed
Low Risk
Medium Risk
High Risk
0
1
2
3
4
5
6
7
8
9
10
201320122011201020092008
22. Low Risk
Medium Risk
High Risk
0
1
2
3
4
5
6
7
8
9
10
201320122011201020092008
Visually Communicate Financial Data
Composite scores can give historical context
What’s typical for this vendor over
business cycles?
How does the latest score compare to
its historical average?
Vendor
22
23. Low Risk
Medium Risk
High Risk
0
1
2
3
4
5
6
7
8
9
10
201320122011201020092008
Visually Communicate Financial Data
Composite scores can give relative context
How well does the vendor’s plight track
that of a market index?
How does the vendor compare across
similar vendors in the sponsor’s own
tool?
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26. Advantages of an In-House System
Recommended Inputs
Translating Data into Action
Visually Communicate Financial Data
Tying Financial Health Assessments to Decision-Making
26
27. Tying Financial Assessments to Decision-Making
Key Considerations
Proximity of assessor and decision-maker
Prioritize efforts and areas of focus
Risk-based monitoring, mitigation efforts
Integrate with operational, quality checks
Communication with vendors
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28. Tying Financial Assessments to Decision-Making
Incorporate into vendor selection process
RFI/RFP Assessment Lower-Risk
Alternatives?
Risk Mitigation
Ineligible?
Eligible?
Low Risk
Unavailable
Medium Risk
High Risk
No
Recommended
Required
Yes
No
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29. Tying Financial Assessments to Decision-Making
Risk mitigation tool
Make it easy to use
Make it versatile and flexible
Provide a framework, not a mandate
Emphasize “living documents” over plans set in stone
Incorporate risk management concepts
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30. Tying Financial Assessments to Decision-Making
Risk maps can put activities in context
Negligible
Low
Extreme
High
Medium
Rare
Unlikely
Certain
Likely
Moderate
Likelihood
Impact
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31. Tying Financial Assessments to Decision-Making
Approach risk mitigation from multiple angles
Action Responses:
• One-time activities that reduce the sponsor’s level of risk once they have been
completed
Control Responses:
• Persistent mechanisms and procedures that are collectively intended to reduce—
or at least maintain—the sponsor’s level of risk; they are typically effective after
being implemented and while being operated
Fallback Responses:
• Contingency plan: a detailed mitigation plan in the event that actions and/or
controls fail to prevent the risk(s) to sponsor that had been identified via the
financial assessment
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32. Traffic Lights And Threat Levels
Conclusion
• Industry challenges compounded by irrational competition, private equity
• After an initial investment, in-house tools are powerful, cost-effective
• Six simple concepts can guide selection of a custom array of inputs
• Composite scores can facilitate understanding
• Visual cues can be combined with numbers, text to enhance communication
• Assessments should accompany risk mitigation for maximal effect
• Risk maps and response categories can frame mitigation efforts
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34. Glossary
Explanation of abbreviations
EBITDA
• Earnings before interest, taxes,
depreciation, and amortization
EBIT
• Earnings before interest and taxes
FCF
• Free cash flow
GAAP
• Generally accepted accounting
principles
IFRS
• International Financial Reporting
Standards
ROA
• Return on assets
ROE
• Return on equity
ROIC
• Return on invested capital
Editor's Notes
Persistent economic troubles—a holdover from the global economic crises of the late 2000s—continue to plague many of the largest markets in which sponsors and vendors alike do business…The increasingly-challenging drug development landscape is affecting the industry’s productivity and profit…R&D budgets—a significant source of our costs--reach into the billions for many firms…Sponsors are increasingly reliant on outsourcing to stretch those R&D budgets…Our vendors face significant challenges in their industries as sponsors reduce their slates of preferred vendors, sponsor alliances are not the fiscal windfalls they were hoped to be, and the preclinical and Phase I business segments stagnate in the doldrums of a demand trough…Increasingly-generous signing bonuses are leading to a war of attrition, constraining profits and leading to higher employee turnover that could threaten performance on outsourced studies… The go-to methods of private equity firms are draining cash off the balance sheets, shifting unsustainable debt onto our vendors, and increasing the cost of that debt via high interest rates and credit downgrades. This has, in some cases, led to lawsuits against the private equity firms. And while the recent and debated changes to the US tax code have not lessened their reliance on these tactics, some organizations are predicting moderate returns and a more competitive landscape for PE that could see their use increase.These factors and more are impacting the financial performance of many companies that rely on our industry, leading some to fail. Roche and Genentech have both experienced the sudden failure of vendors in the midst of studies. These failures can result in cost overruns, quality issues,product development delays, and lost revenues.It is important to note that financial, operational, and quality risks with vendors are independent types of risk that are intertwined and, in some cases, predictive of one another. [Explain with an example.] While we are discussing financial risk in this presentation, I will point out that Roche assesses the performance of its vendors across a variety of dimensions (sustainability, operation, quality, etc.) of which financial risk is but one component.
By now, you have an appreciation for the importance of evaluating your vendors’ financial health. Now let’s take a look at the arguments in favor of doing it yourself…
Indirect benchmarks also refers to the use of sector averages in the absence of specific information…can be totally irrelevant and/or misleading
Sponsors view vendors as business partners, not as investmentsFinancial concerns are resultantly differentVendor financial data provided to sponsors should reflect this distinctione.g., avoid non-GAAP/EBITDA figures, don’t downplay debt and debt service, etc.Don’t downplay sponsor requests for financialsFinance professionals joining outsourcing, procurement groups…part of the ‘professionalization’ of new procurement organizations: not only deal cutters anymore, but part of an overall solutions strategy development…also provides greater job security than the tumultuous financial services industryRisk management efforts intensifying (DJSI also asks increasingly about comprehensive risk management)Can impact individual awards and total book of businessSpecifics (construction, final scores) withheld from vendorsPrevents unproductive debates on methodology and the possibility that knowledge could influence vendor behavior, performanceAllows sponsors to use one tool consistently, as opposed to customizing for each vendor (time-saving and focuses attention on items important to sponsor)
At this point, perhaps I’ve convinced you to create your own in-house tool for vendor financial assessments, in place of or in combination with an external service…so let’s now discuss what inputs might comprise a first-in-class financial assessment tool…
Use multiple metrics in the same family: No one metric is perfect, as each has its limitations and idiosyncrasies; multiple indicators lend greater weight to conclusionsEmphasize common financial line items: Esoteric inputs can impact timeliness of vendor responses and inject unwanted variation in calculationsExploit forward-looking measures: Elevates tool from an historical snapshot and better aligns risk assessment with timeline of outsourced work
Can mention that other common financial metrics have some success at being used to predict bankruptcy
At this point, you’ve decided what inputs will comprise your in-house tool for vendor financial assessments…now let’s discuss how you translate those data into actionable recommendations…
Talk about the relative numbers of ENIACs, PCs, and iPads in their first years of availability…emphasize that ease-of-use and visual appeal were key to their understanding and adoptionConcentrate on the broad themesUse layperson language to explain financial concepts
Regardless of how you construct your tool, it’s bound to have text. Here are some recommendations on the use of text in your tool.Use enough text to provide a description and appeal to those who learn via reading, but don’t use too much.Customize some text for the specific vendor you’re evaluating, but focus on boilerplate language so that there’s consistency and end-users get comfortable with the text on the tool.Avoid financial jargon in favor of layperson descriptions that can be understood by anyone, regardless of background and education.
So what do you do with all the inputs you selected and the metrics you’ve calculated? How many of your colleagues would understand these data well enough to make a decision based on them?In order to do this, will have to decide, as a company, thresholds for each metric individually and for each metric’s contribution to the whole weighted composite scoreComposite scores could be additive or subtractiveIn the absence of enough information to determine a score, suggest you act conservatively and rate accordinglyValuable shortcut:When constructing your tool, you can align it with the vendor RFI to enable cut-and-paste entry of the raw financial data. The tool can then automatically calculate all selected metrics, then rate and weight the metrics into the composite score. Microsoft Excel and secure, web-based interfaces are both viable options for doing this.
Provides consistent interpretation of multiple componentsEases the exercise of financial analysis by offering automatically-computed, meaningful, and easy-to-read output derived from relatively simple inputClear scale and relativity (intra- and inter-company) ---Pay attention to the gradation of your scale: a 0-5 scale may be too blunt, 0-10 through 0-100 scales can provide enough room, while round numbers may hold appealCan be compared to most recent composite score to judge relative financial health of lateScores can dictate risk level and suggest whether risk mitigation warranted
So now you’ve opted to create an in-house tool…You’ve sat down with Finance to compile the desired inputs and rate and weight them accordingly…You’ve figured out how to distill the text and numbers down to a meaningful few…But how do you make sure that you’ve unambiguously made your point to a non-financial audience?People learn and understand things in different ways: some by reading, some by seeing. Some people prefer text to numbers; others take in data from pictures best. We’ll look at ways in which we can try and tackle each of those scenarios.
The simplest first step is to add color. In this case, we can overlay color on text and/or numbers.Note that the score is prominent in all cases. The scale is also mentioned. At bottom, the risk level is correlated to the score. The color is, in turn, correlated to the risk level.When looking at the box on the left, it is important to note that sponsors can choose a default for overall scores or individual components in the absence of data…medium- or high-risk, for example…this still allows it to be incorporated with risk management process and hopefully discourages vendors from withholding information…also allows for conservative stance as a default
Radar plots are another visual way to communicate several pieces of data at once:The shape can accommodate many different facets of analysis, simply by adding another sideThe radii convey the scale for the individual scoresThe colors and dotted polygons convey the risk levelsTwo potential setbacks of the radar plot:Can be difficult to reflect an overall score and risk levelComparisons to other benchmarks may be difficult to comprehendCould alter color of the lines to reflect overall risk level of vendor
If we instead focus on a composite score, then we can use a plot such as this to visually communicate key data.Risk levels are demarcated, colored and named against a clear scale that situates the highest scores at the topThe horizontal axis shows the annual composite score of current and historical financial data
Higher lifetime average suggests recent financial challenges (could be unique to firm or reflective of industry/economy)
A graph such as this could show that—while the market index has performed better than a vendor and its cohort—the vendor in question better handled the downturn and has improved at a faster rate than its cohort.
Traffic lights are interpretable under many scenariosSymbol is recognizable, if not identical, in all developed countriesColors can be consistent with other risk level depictions in your toolSuperimposition of symbols onto traffic lights aids B&W printing and those with red/green color blindnessUse of symbols instead of abbreviations (e.g., R, Y, G) or pictures (e.g., “thumbs up”, “thumbs down”) intended to avoid cultural and language differences in a global companyBy default, lack of data for a traffic light could result in a blank traffic light, which would not count toward a vendor’s score
Here we see several of the items previously discussed being used in combination with one another: numbers, boilerplate layperson text, graphs, and traffic lights. This combination should appeal to a broader audience given the redundant signalsAll four variations of a bankruptcy prediction score box shown with sample data…can be used for additional detail on your tool’s major families of metrics By default, lack of data for a traffic light results in a blank traffic light with explanatory text Helps end-users identify particular areas of concern and strengthNote changes in traffic light color and symbol, as well as corresponding textBoilerplate layperson text inputs and traffic light automatically triggered by risk level; risk level automatically triggered by score
Great. You’ve created a powerful, first-in-class, in-house tool to assess your vendors’ financial health…and even better, your colleagues understand it. How do you tie financial health assessments to decision-making and clinical development activities?
Proximity of assessor and decision-makerInvolve end-users in process: Get buy-in and support from top management, emphasize its place as an additional decision-making tool, designate process SMEs, conduct global trainings (VC, TC, in-person, and online) for outsourcing and clinical development colleaguesAssessments and risk mitigation plans without proper context from involved parties could lead to misinterpretation and misunderstandingMost appropriate study team SMEs dictate risk mitigation plans on particular studies; outsourcing relationship managers dictate vendor- or service area-wide RMPs; contract negotiators facilitate study team education and adherence to processPrioritize efforts and areas of focusDevelop eligibility requirements to help focus assessment effortsRisk-based monitoring, mitigation effortsText recommendations automatically triggered based on risk level implied by composite scoreRisk levels can be linked to the performance and extent of risk mitigation activities, ensuring concerning eligible vendors command the most attentionIntegrate with operational, quality checksAlthough financial risk can be independent from operational and quality risks, it should be part of the overall battery of risk assessments you systematically conduct for a holistic approachCommunication with vendorsKnowledge of FHAT methodology, results, or FRMP components could influence vendor behavior, performance
How might vendor financial assessments be incorporated into decision-making? It can be used for the selection of vendors at the RFP stage, for example…Eligibility criteria can include such considerations as:Preferred/prequalified vendorsKey service area vendorsVendors comprising a majority of overall spendVendors with contracts above a minimum thresholdVendors requested by managementDoes sponsor have to work with vendor identified as medium- or high-risk? If not, look for lower-risk alternative vendors with comparable capabilities.Internal customers involved in determining whether a particular vendor is critical, whether there are viable alternatives with lower risk ratings, and what actions will comprise a risk mitigation plan.Also need to mention that risk mitigation activities continue for duration of project/contract…not a one-time exercise
What characteristics should a risk mitigation tool exhibit?Not overly cumbersome:Goal: Create a tool that the business will want to useVersatile:Built-in flexibility for tool to be relevant for all different studies and servicesSuggestive aid:Does not “mandate” activity, rather provides framework for guidanceAccountability:“Living document” that can evolve, record efforts, and proactively describe a backup plan…not a one-time activity!Familiar:Align with risk management processes: Risk map, response categories
Risk Map – Likelihood AxisThis parameter refers to the likelihood of the vendor experiencing a financial issue (e.g., bankruptcy, insolvency, etc.).Could be assigned by the result of the financial assessment or a forward-looking metric within it (e.g., bankruptcy prediction). Sponsors could decide that a vendor lacking an assessment would default to a medium likelihood unless attainable evidence suggests otherwiseRisk Map – Impact AxisThis parameter assesses the impact to the sponsor in the case of a disruption to project(s) due to financial issues with the vendor.Could be assigned by the plan owner after consulting relevant stakeholders.Considerations might include:Critical nature of work to project timelines (e.g., retrospective analysis vs. registration study, primary endpoint vs. secondary endpoint)Total budget of contractRoche example: Any disruption causing delay in project timelines—or directly affecting the well-being of patients—is considered to be high impact to Roche.
Examples of action responses: MSA and contract language Payment terms Preliminary audit Initial communicationExamples of control responses: Repeat financial assessments Performance, operational monitoring Ongoing communicationExamples of fallback responses: Alternate vendors assessed and, if necessary, prepped Vendor transition plans Safeguards to minimize project disruptions at time of failure