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Alteryx Analytics in Commercial Real Estate at CBRE

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CBRE, the world’s largest commercial real estate services and investment firm, leverages their high volume of market data and speed of delivery as key differentiators in their product and service offerings. Join to hear how the adoption of Alteryx impacts analytics in the organization and helps deliver new outcomes in key business areas. Learn how CBRE leverages Alteryx to: create an automated data pipeline to replace 60-plus custom Python scripts, reducing a manual monthly process by 50%; build sentiment analysis tools and predictive models to predict tenant occupancy churn; and analyze historical and current state of the market to identify trends and predict business opportunities. Finally, expect some tips to improve documentation and speed development for your teams.

Anees Khandoker - Sr. Software Engineer, CBRE
Kevin Kim - Data Intelligence Manager, CBRE

Veröffentlicht in: Daten & Analysen
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Alteryx Analytics in Commercial Real Estate at CBRE

  1. 1. # A L T E R Y X 1 9 PRESENTED BY ALTERING ANALYTICS IN COMMERCIAL REAL ESTATE AT CBRE Anees Khandoker Sr Software Engineer Kevin Kim Sr Data Intelligence Manager
  2. 2. # A L T E R Y X 1 9 2 TODAY’S AGENDA 1. Introduction 2. How We Got Started What led us to Alteryx 3. Where We Are Today Identifying future investment opportunities 4. ROI – Today and Long Term How we use Alteryx to realize ROI 5. Q&A
  3. 3. # A L T E R Y X 1 9 COMPLETE SESSION SURVEYS ATTENTION 3 You were handed a survey as you entered the room. It should take less than 2 minutes to complete Please return your completed surveys B E F O R E YO U L E AV E the room Surveys are anonymous, and we rely on your opinion for improvement
  4. 4. # A L T E R Y X 1 9 4 “With Alteryx, I can focus on outcomes instead of coding and data prep.” ANEES KHANDOKER A L T E R Y X U S E R S I N C E 2 0 1 6 “Learning Alteryx accelerated my growth in the data tech landscape.”
  5. 5. # A L T E R Y X 1 9 5 “When I use Alteryx, I feel empowered to make informed decisions.” A L T E R Y X U S E R S I N C E 2 0 1 7 KEVIN KIM “Alteryx helps me tell a story and make data relatable.”
  6. 6. # A L T E R Y X 1 9 WHO ARE WE? 6 • Founded in 1906 as Tucker, Lynch & Coldwell • Today we are the world’s largest commercial real estate services and investment firm • Presence in 100 countries, 450 offices worldwide • Number 146 on Fortune 500 Offerings include: • Advisory & Transaction Services • Investment Management • Property, Facilities Management • Valuation Services, Client Strategy & Consulting
  7. 7. # A L T E R Y X 1 9 “WHILE THE BENEFITS OF AI AND MACHINE LEARNING ARE WELL ACKNOWLEDGED ACROSS DOZENS OF VERTICALS, CRE HAS TRADITIONALLY BEEN A FEW STEPS BEHIND IN TERMS OF DIGITAL TRANSFORMATION.” 7 “THE FIRST HURDLE FOR MANY COMPANIES IS RECOGNIZING THAT THE DATA YOU NEED IS LIKELY TO BE ALREADY IN YOUR POSSESSION…THIS COULD BE MARKET INFORMATION, SOCIAL MEDIA, GOVERNMENTAL DATA OR MORE.” TECHNOLOGY IN CRE - FORBES, 2018
  8. 8. # A L T E R Y X 1 9 8 WHAT LED OUR TEAMS TO ADOPT ALTERYX AND PROGRESS HOW WE GOT STARTED
  9. 9. # A L T E R Y X 1 9 OUR START WITH ALTERYX 9 Research Digital & Technology Data Integrity • Move Flat Files • Small Data Transformations • Load to Network Folders • Designer Only • Mostly Excel • Data Quality & Auditing • Spatial - ESRI • Mostly Excel • Market Data Aggregation • Data Management • Data Prep for Statistics • Story Telling High Level Spatial Analytics
  10. 10. # A L T E R Y X 1 9 MAKING PROGRESS WITH SPATIAL, PREDICTIVE, DATA ENGINEERING 10 2 • Sentiment Analysis on Customer Surveys o 3800 Customer surveys to analyze o Alteryx + Azure ML reduced this task to 30 seconds to score all surveys • Predictive Analysis on Tenant Churn Probability o Used historical data to predict lease renewals o Alteryx helped evaluate and select models • Data Cleansing Using Proximity-Based Matching o Duplicate property records with alternate addresses consolidated using location attributes
  11. 11. # A L T E R Y X 1 9 HITTING OUR STRIDE WITH ALTERYX SERVER, COLLABORATION 11 • Scheduling automated processes → Reducing man hours • Version Control Allowing for Parallel Development • Allow Business to Access the Target Data As Needed → True Self-Serve Data • Creation of Internal User Groups and COE • “Best Use of Server” @ Inspire London 2017 SAVED 50 HOURS/MONTH! COE → CROWD SOURCED PROBLEM SOLVING BUSINESS RELIED LESS ON IT FOR DATA
  12. 12. # A L T E R Y X 1 9 HOW WE USE ALTERYX TODAY 12 Research Digital & Technology Data Integrity Forecasting Data prep Spatial Analytics • Scheduled Processes • Configurable Macros • R, Python • AWS • SFTP • Designer + Server • Customized Data Cleansing • Fuzzy Matching • Spatial Matching • KPI/Data Metrics • DB Management • Periodic/Ad-hoc audits • Data merge and manipulation • KPI • Spatial analytics • Predictive analytics Collaboration to create new analytics!
  13. 13. # A L T E R Y X 1 9 13 How CBRE was able to define and identify future investment around Live Work Play environment LOCATION INTELLIGENCE & PREDICTIVE ANALYTICS MAXIMIZING COLLABORATION: IDENTIFYING FUTURE INVESTMENT OPPORTUNITIES
  14. 14. # A L T E R Y X 1 9 IDENTIFYING FUTURE INVESTMENT OPPORTUNITIES 14 Goal: Provide brokers with intelligence to identify future investment properties in SoCal ahead of the trend curve Data: Historical and projected figures for Populations, Construction Project Completions, Spatial Data Method: Overlay location data on top of historical figures and forecast future growth EXECUTIVE SUMMARY
  15. 15. # A L T E R Y X 1 9 PROJECT DEVELOPMENT CYCLE 15 Business Understanding Planning Data Collection Data Exploration Data PrepModel Analysis Evaluation Decision Making / Learning Deploy, Refine
  16. 16. # A L T E R Y X 1 9 EXECUTION TOOLS USED Preparing multiple historical data of LWP with geographical features Spatial analytics to understand location relationships and standardize Match & merge, aggregation to identify the density Predictive model with historical data to forecast future opportunities OUR ANALLYTICAL PROCESS DATA COLLECTION, UNDERSTANDING, PREPPING AND MODELING 16
  17. 17. # A L T E R Y X 1 9 OUTCOME AND DELIVERY EVALUATION WITH OUTPUTS, DECISION MAKING WITH VISUALS & DEPLOYMENT 17 Outputs: • Predictive model to forecast growth and market trends • Output to Tableau to visualize moving trends over time Benefits: • Model analysis helps better understand market status • Evaluation to confirm that study supports the thesis on market trend • Creating story points with interactive data visualization
  18. 18. # A L T E R Y X 1 9 18 WHERE WE ARE SEEING IMMEDIATE AND LASTING ROI CURRENT AND FUTURE ROI
  19. 19. # A L T E R Y X 1 9 IMMEDIATE ROI EXECUTION 19 BUSINESS BENEFITS Flexible Data Management • Schedule via Server • Fast development • Batch Macros! • Quick insights / ROI WHAT WE USE • Time savings – 50% reduction in manual data gathering process • Error reduction – on the fly data validation and immediate notifications • Improved management – seamless integration with cloud storage • Scalable processes – reduced 60+ python scripts down to 1 workflow AUTOMATION, SPEED, ACCESS TO DATA
  20. 20. # A L T E R Y X 1 9 INTERMEDIATE ROI EXECUTION 20 BUSINESS BENEFITS Enrichment and Cleansing • Data visualization friendly output • Parse/add spatial data • Output for visualizations WHAT WE USE • Improve Data Quality– data quality and quantity increased by 35% • Time Saving – 400% faster with periodic workflow on manipulation of data • Scalable Practices – Ability to re-use workflows for similar story telling outputs QUALITY, QUANTITY, TIME SAVINGS
  21. 21. # A L T E R Y X 1 9 LONG TERM ROI EXECUTION 21 BUSINESS BENEFITS Probability and Forecasting • Data prep for models • POC for effort estimation • Model balidation • Accelerate model development – quickly build, compare, combine models to improve accuracy • Business accessibility – make predictive modeling more approachable than displaying lines of code • Reduce manual effort by utilizing ML methods; 3 week survey analysis task reduced to 1 day WHAT WE USE PREDICTIVE ANALYTICS, FORECASTING
  22. 22. # A L T E R Y X 1 9 22 OUR JOURNEY TO SUCCESS FIVE KEY POINTS Acct Exec Relationship Start Small – Quick Wins Develop Skills, Expand Use Showcase, Collaborate Go Big! 1 2 4 5 3
  23. 23. # A L T E R Y X 1 9 BEFORE YOU LEAVE ATTENTION 23 B E F O R E YO U L E AV E … Please take a moment to complete your evaluation survey. Hand it to the room monitors on your way out.
  24. 24. # A L T E R Y X 1 9 THANK YOU Anees.Khandoker@cbre.com 24 (469) 391-7123 ANEES KHANDOKER Kevin.Kim@cbre.com (213) 613-3603 www.cbre.com KEVIN KIM

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