Day 2: Alberto Santos Estevez - Urban Data Analytics
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BigData & Analytics Services for Property Portals uDa shows you how to maximise property data through BigData & Analytics by: • Generating high interest content for property portals • Implementing value added services for property portals customers • Implementing services that join or facilitate the disintermediation process • Creating contents that initiates new ways of searching for and recommending houses through the internet
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Day 2: Alberto Santos Estevez - Urban Data Analytics
- 1. BigData & Analytics Services for Property Portals #PPW2016 #BigData #urbanData @asantosestevez @carlosolmos_arq by urbanData Analytics PROPERTY PORTAL WATCH CONFERENCE, MADRID. 29th September 2016
- 2. 50% of the world population lives in cities City
- 3. We push the cloud down to the city Every Data we use is geolocated.
- 4. Where we are? ref. Steve Jobs Creativity is connecting things Connections
- 5. The Real Estate sector contributes 12% of Gross Domestic Product (GDP) of a country. 1 The Oportunity
- 6. Ownership Manage & Finance MKT Transaction Manage Research & Planning Consulti ng Home Loan, Insura nce & Crowdfund ing Listings & Lead Selling Develop er MKT Primary sales Resales Rentals ref. uDA RE Value Chain (- projects, brick & taxes) 5 € 2 9€ 58€ 21€ 1 3 €% €
- 7. STG RISK MATAVM STG CONS REP RESE DUEdil Builders, Owners, Developeres, Investors Self, Investors, Banks, Mortgages, Crowfunding… Brokers, Developers, new market place… Portals , Construction firms, Developers, VOL CONT MAT ref. uDA AVM DUE MKT CAT COM MAT Ownership Manage & Finance MKT Transaction Manage Research & Planning Consulti ng Home Loan, Insura nce & Crowdfund ing Listings & Lead Selling Develop er MKT Primary sales Resales Rentals Agent Act value RE Value Chain (- projects, brick & taxes)
- 8. Data & Property Portals in the Next Real Estate disruption The disruptive change 2
- 9. Disrupt context ref. Javier Creus. Ideas for change. New world Social forces Economic forces Tech forces Population density Sustainability Desire to community Monetizing excess Access vs property Service vs Work New Financing Models Social Network Open Source Payment systems Spontaneous generation data
- 11. Real Estate Tech Financial ref. CB insights
- 12. 4 v´s Customer Delight BigData Path Better Business Efficient Operations DESCRIPTIVE PREDICTIVE PRESCRIPTIVE Big Data & Analytics
- 13. 3 RED estimate, 30 RED & 160 urbandata. What uDA does different? 3
- 14. Real Estate Data indicators Segmentation and Micro Location Compare & Serve What uDA does different in #RealEstate
- 15. 8,21 (s10) 552.900 €Value Yield RentSell Net Yield Rental short term Ngh City 3,21 % 3,04% 4,22% Net Yield Buy/Sell short term Ngh City 4,92% 6,87% 2,35% Fig: uDA.. 30 RED indicators (Real Estate Data)
- 16. Precio unitario tipo en el Viso., Madrid. Evolución 2015T1-2015T4. 4.000 €/m2 3.000 €/m2 5.000 €/m2 1Q2015 2Q2015 3Q2015 4Q2015 Segmented & Dynamic indicators
- 17. Precio unitario Madrid. 07/2015 Micro located indicators
- 19. •Urban People •Urban Economics •UrbanMove •UrbanShape •Urban System •Urban Enviroment Population Education Employment Quality of Life Security Participation Economic Activities Per Capita Income Employment Production Entrepreneurship Private Services Urban Infrastructure Private Transport Network Public Transport Network Time Access Parking Areas Compactness Housing Density mixed-use Visibility Urban Geometry Axis Vector Parks and gardens Sanitary Equipment Educational Equipment Road Network Urban Services Environmental Quality Noise Levels Meteorology urban Footprint Sun Exposure ref. uDAContext Data 160 urbanData Indicators
- 20. VizAnalysisOpen & Private Data Economy MKT Maths Chart Maps Prescrip tive Action Segmented Geo (Local) KPIs Dashboard OpportunityReal Time Statistics Private Open SocialMedia Real Estate Data Value uDA Methodology ref. uDA
- 21. just Why ? ref. Simon SenekGolden Circle. The way to service When? Where? Why? Cause, origin. How? What? Product / Sevices. BBDD Value Prop. BI • Data (segmentation) • Product & Comunication
- 22. RED asset RED urban RED asset portfolio MKT & segmented content.
- 23. Tangible and tested Services. New Services 4
- 24. New Services For Real Estate Agents For Investors Developers
- 25. N.Services: Real Estate Agents Alerts Smart Portfolio Franchise Expansion Asset Insight
- 26. N.Services REAgents Alerts Alert/Lead when the perfect Asset is on the Market
- 27. N.Services REAgents SmartPortfolio Focus the efforts to commercialize the bests Assets
- 28. N.Services REAgents Expansion Where is the perfect premise for your bussiness
- 29. N.Services REAgents Expansion Where is the perfect premise for your bussiness
- 30. N.Services REAgents Asset Insight Value of the home, Yield, Services associated to the home, Time to Market, Crimes
- 31. N.Services Developers Demand & Supply&Time Tol Sell – The perfect development
- 32. N.Services Investors Market Information Smart Management
- 33. N.Services Investors Market Info Take informed Decisions – Fermium - Paid
- 34. N.Services Investors Market Info Take informed Decisions – Fermium - Paid
- 35. N.Services Investors Smart Management Manage the Portfolio to Improve Yields and less Risks
- 37. Disintermediation Your current customer will disappear
- 38. Disintermediation Investors Smart Services to investors Your Listings Information + Confidence
- 39. Disintermediation qualifying leads Measurable Insights + Emotional Insights: AI + BigData + OpenData + LBS
- 40. Disintermediation New Way Search Home Measurable Insights + Emotional Insights: AI + BigData + OpenData + LBS Information + Confidence
- 41. Will you be the Next? The Oportunity 6
- 42. by urbanData Analytics @asantosestevez Blog BigData inmobiliario urbanDataAnalytics.com Let´s disrupt. @carlosolmos_arq PROPERTY PORTAL WATCH CONFERENCE, MADRID. 29th September 2016
Hinweis der Redaktion
- Our ecosystem is the city
- And we push the cloud down to the city Every Data we use is geolocated.
- And with all this data we make connections. “Creativity is connecting things”
- uDA is adigital company, but We are not going to talk about the topics of AI, Machine Learning , BigData or whatever. We are going to talk about the enormous opportunities that the Property Portals have to be one of the main actors in the disrupt change of the Real Estate Market. And what we are talking about is a Sector that contributes with the 12 % Gross Domestic Product of each country.
- The real estate is a multi-billion value chain with many sub-markets within Listing and Lead selling takes 2 of 100 €, Consulting 1 € but Brokerage takes 79 €. Here is the oportunity.
- In this patch to desintermediation. What is important is to identify is what is the value added for each agent in each sub markets and focus on how Data can cannibalize each part in this approach to disintermediation.
- The world is changing And the change has come to stay.
- There are so many actor that has disrupt their sector: And in a lot of theme, Data is in the CORE of their business 23andMe, starts with a B2C model, and with the feedback of their customers they turn to a B2B2C model. In the Real Estate Sector a lot of start up has begun to create new services that resolve little fragments of the value chain: Crowdfunding – SmartMKT – segmented Marketplace.
- This is the Financial Real Estate Tech in the last 4 years. Seems something is happening. As a curiosity, one of the big Five Real Estate consultants after 6 months of work, don´t sign the contract cause the CEO define us as clear competitor.
- The path of BigData has much to do with the path to disintermediation in the Real Estate. Some portals give Price and urban information, they describe neighborhoods or assets; but that is not enough for an action. For Prescriptive, “the decision-maker may take information and just act”. But first, He must Get your confidence.
- Which are the ways to explore this complicated process?
- We give 3 RED estimate, 30 RED & 160 urbandata for each asset. And we compare and serve them in a way that the user can act.
- We group this REDs in Value, Risk And Yield, and transform each house in a financial asset.
- We segmente houses depending on type, size, number of rooms. In a dynamic way, each quarter, each month…
- We study indicators at least at a block level.
- We compare them We compare them all around the world.
- As i ve said, We give context to each asset. We have 160 indicators that talk about Sociodemographic, economic, movility, morphlogy, urban facilities…
- The Technology CORE focuses on Real Estate analytics data and communication interfaces. The distinguishing factors are the layer of Statistics and Machine Learning, regardless of statistical inference allows the market dynamics, which enables our customers to make predictions and anticipate to market trends.
- But RED platform can also give you “Brand, Content, Research” Segmented and give each user the information demanded in real time. We can serve value-content for media in a way no one has done before. So, Same platform, same CORE, different services. Now, we are going to put our feet on the ground.
- We can think on the data as a promise of something great and include it in the strategie of the companie. But sometimes this topics seems a little bit haziness. So Let’s talk about tangibles. What kind of new services could we explore? Do we have real samples of ways to disintermediate
- Thousands of homes are entering to the market everyday. The real estate agents need to know it ,so that they can commercialize it. But, focus on the thousand of opportunities is a big mistake and they know it. So, they requested us to créate an alert system that send them the best opportunities based on market insights.
- Optimize the real estate agent portfolio by matching the market needs with the portfolio of the real Estate agencie. Get the assets with the perfect time on market and potential revenue
- This is a key problem for Real Estate Franchise. They want to know where, when and how to open a new Local to provide Real Estate services. It’s pretty clear that with Data the solution is mutch more clear. Please take look at this viewer made for the to choose the best allocation for his bussiness. Again, the information of the market is essential. In this simple map viewer you can see the locals of the center of Madrid quelified in terms of the 4 more valuable variables for this bussines: The Price of each asset; The visibility or the amount of people that transit over each accet; the ability to capture customers and , in the end , the ability to make sales.
- This is a key problem for Real Estate Franchise. They want to know where, when and how to open a new Local to provide Real Estate services. It’s pretty clear that with Data the solution is mutch more clear. Please take look at this viewer made for the to choose the best allocation for his bussiness. Again, the information of the market is essential. In this simple map viewer you can see the locals of the center of Madrid quelified in terms of the 4 more valuable variables for this bussines: The Price of each asset; The visibility or the amount of people that transit over each accet; the ability to capture customers and , in the end , the ability to make sales.
- One of the things that real estate agencies put value is on our Asset Insights. I know that many of you are provinding this filecards but let me tell you that you are not doing it very well. It really important provide the exact Kpi that the agent need to be confident. Insights on the market such us Price, demand, trneds and also information related on the surrouding área. But treating each asset individually. The agencies are paying by this simple service.
- As chimino said a couple of hours ago. The developers are demanding and paying to use tools that allows the to define perfectly their development. We have insights related on the stock, demand, supply, pricing. In an Historical and predictive way. We can recommend the perfect place to make an specific development.
- The Smart Management it’s an setp forward the alert systems. The investors need to know, every month, the pricing of the portfolio, need to know how should they invest or disinvest, how should they negotiate rents, etc. Maybe this service is not the focus of a listing Company as a Property Portal. But at this point we begin to see a clear approach to the disintermediation process by providing this tools to Property funds.
- This lists represents shows , for a list of Jobs, the probability to dissapear during the next years.
- This model is working for some specific cases. The implementation through a Property Portal are not easy but through “satellite” services the approach is easier. Take as a sample the service mentioned before. The service that UDA is providing to Property funds by assessing them where, how, and what amount to invest in. Listen!! You are providing service to a Property Fund to manage his portfolio. I know who has the funds and we recommend the actions over his Millionaire portfolio. Now Imaging also that you have the supply information (and YOU got it) ..the P2P is happening in the Key in this process is the one that has the information (the correct and powerful information) to engage the deal.
- I’m going to make this search through a real example. My wife is looking for a new home. A saw her my tools, tech tools, she tested them and said, well honey, your having so mutch fun but it doesn’t make sense to me. You don’t solve me the problema.