Virginia State University Wagner College Washburn University Wellesley College Wesleyan University West Chester University of Pennsylvania West Virginia Health Sciences Center West Virginia University Western Connecticut State University Western Oregon University Westfield State University Wheaton College (MA) Whitworth University Widener University Williams College Williston Northampton School Worcester State University Xavier University Yeshiva University Youngstown State University Fact, Fiction, or Crap How is Your Facilities Data?
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Is Your Facilities Data Fact, Fiction, or Crap? - Creating Facilities Intelligence for Data Driven Decision Making on Campus
In this session, Abilene Christian University, University of Nebraska at Kearney, and New Mexico State University will share with you the steps they have taken to harness vast amounts of facilities and financial data to create facilities intelligence. Additionally, they will share how they have used this knowledge to provide strategic decision making support not only within their respective facilities organizations but also with senior administration and across the broader campus community. In a time of limited resources and competing demands, the value of validated data has never been greater. Through a process of independent third party validation, benchmarking, and analysis they have been able to position their organizations for success. The creation of a common vocabulary allows information to be communicated effectively from the boiler room to the board room, thus helping their institutions understand both the impact of historic decisions and what the impact of future decisions may be on campus facilities. Much like institutions analyze the ROI of their endowments, this data-driven, fact-based analysis allows campuses to understand the interrelation of annual stewardship, asset reinvestment, operating effectiveness, and customer service; and how decisions in one of these areas can either positively or negatively impact other areas.
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Transcript
Virginia State UniversityWagner College
Washburn UniversityWellesley College
Wesleyan UniversityWest Chester University of
PennsylvaniaWest Virginia Health Sciences Center
West Virginia University Western Connecticut State University
Western Oregon UniversityWestfield State University
Wheaton College (MA)Whitworth University
Widener UniversityWilliams College
Williston Northampton SchoolWorcester State University
Xavier UniversityYeshiva University
Youngstown State University
Fact, Fiction, or CrapHow is Your Facilities Data?
About Sightlines
Who Does Sightlines Provide Value To?
400 + College and University
campuses, in 44 states rely on Sightlines to improve their
facilities management.
Contextthrough
benchmarking
Common facilities
vocabulary
Consistent analytical
methodology
Facilities Database45,000 buildings
1.2 Billion square feet50,000+ workers
177M MMBTUs of energy
Finance Database$17B in annual
operating and capital
Capital Renewal Database
Lifecycle data on 5000 buildings
250M GSF
Carbon DatabaseAccess to 600+ campus carbon
programs
Based on Industry-Leading DatabasesChanging the way higher education looks at facilities
• Sightlines collects and assembles data on campus to quantify, verify, and qualify facility performance.
Measure
• Through the benchmarking process, institutions have the capability to create custom comparisons that help them understand context and performance.
Benchmark
• Sightlines synthesizes an institution's verified data to develop strategic directions for change.Analyze
• Sightlines continues to support each campus through the member website, educational webinars, and ongoing consultation with staff.
Membership
The Sightlines process
Changing the Conversation O
pera
tions
Suc
cess
ROPA Radar Chart
Annual Stewardship
Ass
et
Rei
nves
tmen
t
Operating
Effectiveness
Service
Target
Actual
Optimal
The annual investment needed to ensure buildings will properly perform and reach their useful life
“Keep-Up Costs”
AnnualStewardship
The accumulated backlog of repair /modernization needs and the definition of resource capacity to correct them “Catch-Up Costs”
Asset Reinvestment
The effectiveness of the facilities operating budget, staffing, supervision, and energy management
OperationalEffectiveness
The measure of service process, the maintenance quality of space and systems, and the customers opinion of service delivery
Service
Ass
et v
alue
cha
nge
An integration of formerly unrelated partsTracking change over time to identify strengths & opportunities
> Type: Private, comprehensive university> Founded: 1906> Located in: Abilene, TX> Enrollment: 4,600 undergrad/800 grad> Size: 1,966,315 GSF> Mission: To educate students for Christian
service and leadership throughout the world> 21st-Century Vision: To become the premier
university for the education of Christ-centered, global leaders
Challenges
> Change in Leadership> New President – 2010
> New Senior Leadership Team
> More data driven
> Historical Data Spotty
> Master Planning Process
> Deferred Maintenance/Backlog/Capital Renewal/ Broken Stuff/Honey Do List
> Type: Public, Residential, Comprehensive University
> Founded: 1905> Located in: Kearney, NE> Enrollment: 5,442 undergrad/1658 grad> Size: 1,966,315 GSF> Vision: The University of Nebraska at
Kearney will achieve national distinction for a high quality, multidimensional learning environment, engagement with community and public interests, and preparation of students to lead responsible and productive lives in a democratic, multicultural society.
Key to such improvement will be: clear focus on mission imperatives, fidelity to historic core values, and continuous and rigorous self-appraisal or assessment of outcomes.
Yesterday….. Questions being asked
Issues• Lots of data, limited information.• Non-validated data• How do we use it?• Are we on track?• Is our data fact or fiction
Desires• Needed clean data• Validation to separate fact from
fiction.• Tools to change the discussion on
campus.
Physical Profile
Age profile for UNKUNK’s age profile is well distributed; Revenue Bond space is younger on average
16%
27% 26%
31%
19%
23%
32%
26%
0%
5%
10%
15%
20%
25%
30%
35%
0 - 10 10-25 25-50 50+
% o
f GSF
Renovation Age of UNK’s Campus
UNK - State Aided UNK - Revenue Bond
17%27%
25%
18%
29%
38%
29%17%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
UNK ‐ Composite Peer Average
Campus Age Profile vs. Peers
Under 10 Years 10 to 25 Years25 to 50 Years Over 50 Years
1.1M GSF 874K GSFSize:Renovation Age: 37.1 years old 34.9 years old
Age profile for UNKUNK’s age profile is well distributed; Revenue Bond space is younger on average
65%
Buildings Under 10Little work .“Honeymoon” period.
Low Risk
Buildings 10 to 25Lower cost space renewal updates and
initial signs of program pressures Medium Risk
Buildings 25 to 50Life Cycles are coming due in envelope and mechanical
Grounds StaffingSignificantly fewer materials available to staff, lower inspection scores
Institutions ordered by ascending grounds intensity.
Inspection Scores:
0 1 2 3 4 5
Grounds
NMSU Peers Database
Energy ConsumptionReduction in energy use saves NMSU $646k vs. FY11
Saving $646k by consuming less fuel in FY12 vs. FY11
Institutions ordered by ascending tech rating. NMSU composite: 6th of 10.
Future…
Closing Remarks
ROI = The Multiplier Effect of Reinvested SavingsMeasuring the impact of proactive costs vs. reactive
$1 per GSF Invested in Stewardship** …$3 per GSF in Capital Backlog Need
Is equal to
…$2.73 per GSF in Annual Operating Costs*
Is equal to
$1 per GSF Invested in Planned Maintenance
Another investment impact is....
* Analysis developed by Marq Ozanne, Ph.D. of OZANNE Customer Analytics Group** Analysis developed by analyzing the Sightlines facility database of project costs
If you remember, remember this…
• Independent Third Party Verification
• Consistent & Credible Collection Methodology
• Tie Investments to Outcomes
• Track Annual Performance Metrics
• Common Vocabulary
• Single Platform
• Improve Strategic Decision Making
Annual Stewardship
Ass
et
Rei
nves
tmen
t Operating
Effectiveness
Service
…Credibility & Perspective to Drive
Transformational Change
National Trends
66
#1 Space Getting OlderBoth groups have increasing percentage of over 50 year old space