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Real Estate Data: What Will the Future Behold?

Real Estate Data: What Will the Future Behold?. Mark R. Linne, MAI, SRA Jack Huntress Rene Circ CEO/Chief Analytics Officer Managing Director-Residential Director of Research-Industrial ValueScape Analytics, Inc . Environmental Data Resources Property Portfolio Research.

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Real Estate Data: What Will the Future Behold?

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  1. Real Estate Data:What Will the Future Behold? Mark R. Linne, MAI, SRA Jack Huntress Rene Circ CEO/Chief Analytics Officer Managing Director-Residential Director of Research-Industrial ValueScape Analytics, Inc. Environmental Data Resources Property Portfolio Research

  2. Some of Today’s Themes

  3. The Appraiser of Tomorrow • Jared Schlaes-1995 • Two kinds of participants in the real estate analysis profession • Collectors of Data • Analysts of Data • Who prospers most? • Who is the professional and who is the para-professional? • What is the vision for the profession?

  4. The Appraiser of Today • Inadequate technology • Residential-imprisoned by the form • Primitive Technology Real Estate Industry being left behind All tech for appraisers is desktop Not web Not even laptop Not Mobile • As an industry we still think within the box that is the form • The solution remains how to fill out the form • No “real” tools-all tech is focused on form-filling • We are spending 80% of our time typing data into forms or into Word.docs-We are not analyzing a we could if we had the tools

  5. The Trends to Watch For • Cloud Computing • Big Data • Mobile Technology • Social Networks • New Analytics • Augmented Reality

  6. The Rise of Databases • UAD • Fannie • Freddie • 100 Million Property DB in 10 years • Knowing more about the market than appraisers-what do you do?

  7. Cloud Computing • Seeing through the hype to discover the potential • Its not just for storage • It’s all about analytics • Leveraging the analytics in the cloud provides significant improvement in the field • Analyze everything in real-time • Analytics that were never before possible at the device level

  8. Big Data The Three Four V’s • More data on virtually everything • How is the data analyzed? • What is the benefit? • Data availability will only accelerate • Where are the tools to analyze? • What you need to look for • What you need to do

  9. Office Conventional Wisdom: Lease Are Getting Smaller As a Result of Shrinking SF/Employee

  10. TYPICAL LEASE SIZE FALLING 70 SQUARE FEET PER YEAR OFFICE LEASE SIZE IN SF--ROLLING 4 QTR AVERAGE

  11. SMALL TENANTS DISPROPTIONATELY DRIVING DEMAND PPR54 OFFICE MARKET: NEW LEASING

  12. Multi Family Conventional Wisdom: The Market is Getting Overbuilt

  13. DEVELOPERS ASSUMING HUGE POOLS OF LUXURY RENTERS CLASS A SUPPLY VS INCOME-QUALIFIED DEMAND (2010-2015)

  14. Office Conventional Wisdom: Renewal Probability Is ~70%

  15. IF YOU LAND AN ELEPHANT, IT STAYS PROBABILITY OF RENEWAL BY TENANT SIZE

  16. Industrial Conventional Wisdom: Warehouse Buildings are Commodities

  17. MARKETS HAVE LIMITED IMPACT ON RE-LEASE POTENTIAL BIG & NEW ASSETS IN DISTRIBUTION MARKETS

  18. IT’S ALL ABOUT THE MARKET BIG & OLD ASSETS IN DISTRIBUTION MARKETS

  19. Retail Conventional Wisdom: The Best Days for Retail Are Behind Us – Blame it on E-Commerce

  20. NET GAINING GROUND… ONLINE VS. IN-STORE SALES VOLUME AND GROWTH

  21. … BUT SO IS PRODUCTIVITY … PHYSICAL RETAIL SALES PER SF OF RETAIL SPACE

  22. … THERE IS SIGNIFICANT NOI UPSIDE BREWING PHYSICAL SALES PER SF AND RENT LEVEL

  23. Industrial Conventional Wisdom: Portfolio Premium Exists for Warehouse Assets

  24. PORTFOLIOS ARE BIGGER THAN EVER WAREHOUSE INIDIVIDUAL ASSET VS. PORTFOLIO PRICING*

  25. IF YOU BUILD IT… WAREHOUSE INDIVIDUAL ASSET VS. PORTFOLIO PRICING

  26. Retail Conventional Wisdom: Grocery Anchored Center Are a Safe Bet – Immune to E-Commerce

  27. BIG BOX EATING GROCERS’ LUNCH GROCERY SPACE AND EQUIVALENT BY RETAILER

  28. BUT SOME SAFETY CAN BE FOUND SHARE OF GROCERY STORES IN GREAT AND TERRIBLE CENTERS

  29. Data to Information

  30. Mobile Technology • Good-bye desktop, good-bye lap-top • Hello tablet and iPad • This changes everything • Three monitors is not the solutions • Going smaller and going mobile • Completing the appraisal in the field while you are at the house • The inspection corollary • Efficiency, efficiency, efficiency

  31. Social Networks • Appraisers don’t play well together • We don’t share well • We don’t take advantage of the opportunities that collaboration allows • Sharing • Talking advantage of each person’s expertise and opinions and experience • You cannot leverage data unless you share • Real time sharing in the field with your peers

  32. New Analytics • Regression Analysis • Geographically-Weighted Regression • Monte Carlo Analysis • Non-Linear Modeling • More Data-Better Models

  33. “Bloomberg Terminal”

  34. Augmented Reality Not just what you an see But what you cannot see Linked together based on geography Think layers of a cake The Landscape of Valuation EVERYTHING about a property demographics Economics Trends Legal Zoning

  35. What Should You Do? • Some of these technologies are here • Costar • Some are being developed • Looking for industry adoption • Over the next 24 months the world changes • Be aware and be ready

  36. Too Big to Fail…Too Small to Comply There are 6500 FDIC Banks….thousands that do less than 500 residential mortgage originations a year.

  37. Appraisers – THE eyes and ears of the lender

  38. Data Now Readily Available

  39. AMCs to Self Management • The pendulum swings back • New rulings make using AMCs (potentially) a business risk • There are benefits to both sides • Appraisers get paid more (potentially better service) • Better appraisers and appraisals • But…Banks need good technology (processes) and audit capabilities to prove “arms length” and remain in compliance What data and technology is going to be used?

  40. Discussion and Q&A

  41. Questions for Consideration • With the consumer having access to more information than ever before, what effect do you think that will have on the appraisal process? (Zillow, transaction histories) • Why should I care about the secondary market creating a data warehouse? • What is the role of AVMs as we go forward? • I’m not an environmental expert (as an appraiser) I’ve never offered that information and I don’t plan on it. Why would I? • How do I understand “big data” in the context of how it will affect my job?

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