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September 29th, 2009

Introducing MLS OneSource – The One Stop Shop for Today’s MLSs and REALTORS

From shopping for clothes, to cars, to homes, online purchases have been growing at an exponetial rate over the past 10 years.  The Nielsen Company did a survey, which suggests that around 85% of online surfers have used the internet for shopping.  Out of those, 94% of all buyers aged 25 to 44 years used the internet to search for a home - NAR Annual Study 2008.  

With that kind of percentage of people (and climbing) utilizing the web for home search, I’d say it’s pretty important for agents to have access to the most accurate local content and innovative technology possible.

 They need engaging information on their websites and in their reports and presentations that goes beyond bed, bath, and square feet. They need access to tools that give invaluable insight into their local communities with just a few clicks. The flexibility to customize, brand and tailor their websites and sales materials to meet each of their customer/prospect’s needs. The content that increases their search engine placement and costumer engagement. They need to be a local expert, a resource, an authority on  local stats and ‘in the know’ information in order to attract, retain and drive quality lead generation.

Technology-driven tools for agents and the need for outsourced data and content used to be something that only the most tech savvy and prosperous companies were involved in. Now, especially with the economic state, it’s a ‘must have’ ‘gotta do’ business move not only to get onboard but to find the highest quality, most efficient, and most cost effective solutions possible.

We started meeting this demand roughly a decade ago when it all started, fine tuning and perfecting the art of data aggregation. Over the years we’ve made it our goal to produce the most accurate and trusted localized content to some of the most established information resources in the country; Coldwell Banker Real Estate Corporation, Century 21, NRT, Realtor.com, Long & Foster, The New York Times, WashingtonPost.com, CNN Money Magazine, and many more.

MLSs and REALTORS®  also have a major responsibility to provide their agents with easy to use tools and accurate local information and have shown an increased interest, over the the past year or so, in the solutions and services we can provide.

We decided to answer the call with our new solution, MLS OneSource.

“Creating the MLS OneSource platform was a natural progression for us. “With an influx of calls and interest stemming from the increase in pressure on agents to enhance their value proposition to consumers, it just made sense for us to formalize a platform. MLS OneSource is specifically designed to help MLSs and REALTORS® engage their consumers by providing relevant and insightful local content and easily integrated solutions that fit their individual business models.” – Marc Siden, CEO, Onboard Informatic

We are excited to launch and introduce MLS OneSource at the CMLS 2009 event this week in Lake Tahoe, California. The platform contains a suite of cutting edge products and services giving full access to our localized content for both agent portals as well as consumer-facing websites. Content categories include detailed information such as home sales, trends, school profiles with GreatSchools.net ratings, demographics, local amenities, and neighborhood boundaries.

The suite of products and solutions offered in the platform range from customizable reports and presentations, easily integrated plug and play neighborhood search tools, standardized web services, to fully tailored delivery of all Onboard’s data, providing complete control over design, development and integration. These tools play a major role in adding value to real estate websites through increasing search engine placement and customer engagement all while building credibility and quality lead generation.

Now is the time for not only real estate but all industries to realize the importance and value in innovative  web and technology solutions. The number of buyers using the internet to do their own research is only growing by the day.

Online shopping trends are showing a consistent rise due to the great response from people. In the coming years, the numbers suggesting the development of the online shopping trends are expected to rise alarmingly.

Kim Cipriano Prior, Onboard’s National Sales Director, is solely devoted to understanding and addressing the MLS sector’s unique set of needs. Kim has over 15 years in strategic business development and sales and marketing experience with 10 years specifically dedicated to the real estate industry and working with MLSs.

If you are interested in learning more about Onboard’s MLS OneSource platform, please email Kim Cipriano Prior at kprior@onboardinformatics or call 646-747-4396.

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June 30th, 2009

Top 5 Places where you’ll be subject to Murphy’s Laws

It seems that Murphy’s are sprouting up everywhere which is making it very hard to determine which one is best. However, using our proven method that clients such as US News, CNN/Money Business Week, and many others employ, Onboard Informatics was able to rank and determine the best cities in this country where Murphy’s Laws do exist.

Top 5 Places named Murphy in the United States:

1) Murphy, Texas (Collin County)

Area: 5.25

Population: 9,866

Median Household Income: $105,884 (State Median Household Income: $51,056)

Total Crime Index: 45

Median Home Sale Value: $280,000

 

2) Murphy, California (Calaveras County)

Area: 10.30

Population: 2,679

Median Household Income: $43,624 (State Median Household Income: $59,386)

Total Crime Index: 35

Median Home Sale Value: $315,446

 

3) Murphy, Missouri (Jefferson County)

Area: 3.96

Population: 9,684

Median Household Income: $55,073 (State Median Household Income: $47,532)

Total Crime Index: 31

Median Home Sale Value: $113,492

 

4) Murphys Estates, South Carolina (Edgefield County)

Area: 2.00

Population: 1,670

Median Household Income: $31,723 (State Median Household Income: $47,075)

Total Crime Index: 63

Median Home Sale Value: $72,740

 

5) Murphy, North Carolina (Cherokee County)

Area: 2.28

Population: 1,730

Median Household Income: $31,573 (State Median Household Income: $49,466)

Total Crime Index: 248

Median Home Sale Value: $103,000

 

Methodology:

Population,  Median Household Income, Total Crime Index, and the Median Home Sale Value were the  variables used to determine this list. The community data points (i.e. the variables) were indexed, weighted, and ranked for each place.  Certain data fields were assigned a higher rank in order to focus attention on more important variables, the following weights were assigned to the corresponding data fields after being indexed:

  • Population: 20
  • Place-to-State Income Index**: 30
  • Total Crime Index***: 50 
  • Median Home Sale Value: 40

The places with the top five highest scores made the list.  

**The Place-to-State Income index compared the place’s median household income to the state’s median household income. This is done so places/regions with lower or higher income are not unfairly compared to the rest of the country; simply put, it keeps things fair.  Just because a salary is high, doesn’t mean its relatively high for that state/region.

***The national crime index is 100, i.e., places with an index score of 200 have twice as much crime as the National Average, places with an index score of 50 have half as much crime as the National Average.

Our experience working with various publications has allowed us to become the premier content provider. Our niche in this market allows us to provide the best content suited for your needs. If you’re interested in doing a real estate-based editorial or would like to gain access to our content to help become a local expert, please reach out to us. Together we can formulate a transparent methodology that will suit your needs and provide you with the best content available.

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June 23rd, 2009

Seattle East: A Comparison of New York City and Seattle

If you haven’t noticed, there is a new trend in New York and it’s not being set by hipsters. If you’re not too sure what it is, the puddles outside your apartment that have become permanent reservoirs are a dead give away.

However, if you’re still unclear, the new trend is rain. This new trend began to make me wonder: are we becoming Seattle? We have more coffee shops than employed people, I’ve been noticing more flannel then normal, and New Yorkers’ tans have subsided to a fine milky paste (although it seems to still be very sunny in Staten Island).

If we are becoming Seattle East, what are some other similarities we have to our soon-to-be conjoined twin Seattle?

Seattle, Washington

  • Area: 83.87
  • Population Density:  6,941
  • Air Pollution Index: 108
  • Violent Crime Index: 130
  • Median Home Sale Value, Q1 2009: $359,825
  • 2009 Fair Market Rent: $844 (1 bedroom)
  • Median Household Income: $54,978
  • Cost of Living Index: 104.9

New York City, New York

  • Area: 303.31
  • Population Density: 27,290
  • Air Pollution Index: 112
  • Violent Crime Index: 176
  • Median Home Sale Value, Q1 2009: $446,808
  • 2009 Fair Market Rent: $1,216 (1 bedroom)
  • Median Household Income: $47,525
  • Cost of Living Index: 149.2

New York, put down the coffee and return the flannel because it’s safe to say that New York is not becoming Seattle East. With their higher income, lower cost of living, better air, and less crowded city, they can only hope to be New York City.  But until summer weather actually decides to descend upon us, chase those rainy blues away with a good ole movie night; I suggest a classic,  ”When Harry Met Sally” cause everyone one knows “Sleepless in Seattle” will not stand the test of time.

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June 19th, 2009

Most troubled states: where will they be in 2013?

Today on CNNMoney.com an article was released which identified the five states with the highest unemployment rates in the month of May.  Those hardest hit states were Michigan, Oregon, South Carolina, Rhode Island, and California. 

So long as you haven’t been residing in a cave or under a rock somewhere, you know the country is struggling with joblessness; more importantly looking forward, will these states be in shambles in the future? With this thought in mind and out of sheer curiosity, investigating the employment situation in those states seemed like a good idea.

The following data points were cherry picked from the Onboard databases to help paint a picture of the employment situation in 2013:

  • 2013 State  Employment projections, highest and lowest within the state
  • 2013 County  Employment projections, highest and lowest within the state
  • 2013 Place Employment projections, highest and lowest within the state

All projection data is proprietary information from Onboard Informatics.

Michigan

  • State 2013 Employment Projection: 4,731,843
  • County with the Lowest 2013 Employment Projection: Keweenaw County, 828
  • County with the Highest 2013 Employment Projection: Wayne County, 803,976
  • Place with the Lowest 2013 Employment Projection: Vandalia, Mi (Cass County), 24
  • Place with the Highest 2013 Employment Projection: Detroit, Mi (Wayne County), 294,230

Oregon

  • State 2013 Employment Projection: 1,950,118
  • County with the Lowest 2013 Employment Projection: Wheeler County, 522
  • County with the Highest 2013 Employment Projection: Wayne County, 364,400
  • Place with the Lowest 2013 Employment Projection: Greenhorn, Or (Baker County), 24
  • Place with the Highest 2013 Employment Projection: Portland, Or (Clackamas County), 294,230

South Carolina

  • State 2013 Employment Projection: 2,148,003
  • County with the Lowest 2013 Employment Projection: Allendale County, 3,180
  • County with the Highest 2013 Employment Projection: Greenville County, 221,147
  • Place with the Lowest 2013 Employment Projection: Lockhart, SC (Union County), 13
  • Place with the Highest 2013 Employment Projection: Charleston, SC (Berkeley County), 52,164

Rhode Island

  • State 2013 Employment Projection: 545,575
  • County with the Lowest 2013 Employment Projection: Bristol County, 28,166
  • County with the Highest 2013 Employment Projection: Providence County, 311,167
  • Place with the Lowest 2013 Employment Projection: Melville, RI (Newport County), 624
  • Place with the Highest 2013 Employment Projection: Providence, RI (Providence County), 76,423

California

  • State 2013 Employment Projection: 18,419,297
  • County with the Lowest 2013 Employment Projection: Alpine County, 606
  • County with the Highest 2013 Employment Projection: Los Angeles County, 4,905,858
  • Place with the Lowest 2013 Employment Projection: Storrie, Ca (Plumas County), 2
  • Place with the Highest 2013 Employment Projection: Los Angeles, Ca (Los Angeles County), 1,866,663

The employment numbers represent the projected number of people working within a specified geography level (state/county/place). It does not reflect the number of people that live and work within the specified geography level (i.e. people living and working in different counties).  If you have any questions, please contact us.

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April 29th, 2009

Did Forbes get it right?

Last week, Forbes.com released their 15 most dangerous cities list. Although we at Onboard Informatics prefer to look at the positive side of things in our stories, it doesn’t make their story any less valid (or interesting for that matter).

What Forbes used as their criteria is the number of violent crimes (murder and non-negligent manslaughter, forcible rape, robbery and aggravated assault) committed per 100,000 people in the population of an MSA (Metropolitan Statistical Area) with total population over 500,000. Overall, you will see a number of cities on this list that intuitively should be there such as Detroit, Baltimore, and Philadelphia. [As a side note, I have been to all three of these cities and love them. All a lot of fun and the people are very nice. My personal feelings about the cities on this list have nothing to do with the data.]

photo by karpov the wrecked train

photo by karpov the wrecked train

But as we read through this list, there were some that we thought, "Hey, what about so-and-so?" so we decided to rerun the numbers to see what our data would say about a list based on this same criteria and how Forbes got to their list. Here is what we found.

Forbes chose to base the geographies in question on MSAs vs. the cities themselves – which is fine. We came up with our own theories as to why. Our best was that people who live in these MSAs commute into these cities so these crimes affect the people in the whole MSA. Fair enough. This will work – if you clearly articulate that this is the level of geography that you are measuring. Forbes didn’t do this. They took the crime incidences for the MSA but allude to the city proper in it’s title 'America’s Most Dangerous Cities'. This can be misleading.

You have to compare apples to apples here. Just because someone may get assaulted in Manhattan does not mean that they cannot be assaulted in Westfield, NJ (very low crime rates). The same applies on the flip side.  You may spend most of your time outside of this city where the risk is lower; you may want to look at things on the place level instead. All of this must be taken into account. For this reason, coupled with population numbers, Boston and Chicago are on our list along with some others that will not surprise you. [Again, I have been to both of these cities and they are a great time. I, personally, recommend you check them out.]

Another thing that we noticed was that Forbes used 2007′s FBI crime statistics. Although the 2008 stats are available, they are preliminary (first 6 months of 2008).  They are more recent (however subject to update by the FBI) and a solid statistical sample for the purposes of such a simple story based in the now.  There are a bunch of other cities that would be on this list if we dropped the population threshold down a bit, which I would recommend. For now, I will share what this list would have looked like if we were inclined to do a story like this:

Onboard Informatics’ List of America’s Most Dangerous Metro Areas

OBI Rank

Forbes Rank

City

State

Population

Crime Incidence

Crimes/ 1ooK

1

1

Detroit

MI

860,971

8,443

981

2

2

Memphis

TN

669,264

6,259

935

3

10

Baltimore

MD

624,237

4,890

783

4

9

Nashville

TN

564,169

4,047

717

5

15

Philadelphia

PA

1,435,533

9,783

681

6

Milwaukee

WI

572,938

3,401

594

7

Houston

TX

2,169,544

12,385

571

8

Chicago

IL

2,824,434

15,902

563

9

Boston

MA

591,855

3,096

523

10

Jacksonville

FL

797,350

4,020

504

11

4

Las Vegas

NV

1,341,156

6,646

496

12

14

Charlotte-Mecklenburg

NC

733,291

3,537

482

13

Oklahoma City

OK

542,199

2,572

474

14

Dallas

TX

1,239,104

5,786

467

15

San Francisco

CA

733,799

3,388

462

As you can see, there is a pretty significant difference here. Our list starts to deviate at place #3 and it really doesn’t match up much throughout the rest. With all of this said, a story like this, in our opinion, takes significantly more information and analysis to appropriately vet this notion.

I don’t write this post to punch holes in Forbes’ story; rather I do it to demonstrate the importance of good data and how numbers can be very easily skewed.  The other half of this recipe (and some would say even more important) is the explanation of what all of this data means.  To really get the most out of a story like this the reader must be able to understand what you are saying here and what it’s based upon.

There are factors of property vs. personal crime as well as how one’s target audience defines “dangerous”. All of this must be explained in a story like this so as to avoid confusion amongst the readers. The last thing anyone wants is for a place to be affected (property values or otherwise) by a highly publicized story – such as this – without taking all of the different variables into account. Also, it is important to do some individual, on-site reporting on all of these areas to really understand the why’s and wherefore’s behind what gives a place certain characteristics. For a good example of this please visit CNN’s Best Places to Live and US News and World Report’s Healthiest Places to Retire.

What’s your opinion on all of this? I would love to hear it.

Interesting observation: With the exception of Las Vegas, for obvious reasons, every one of these places has at least one MLB, NFL, NBA, or NHL team.  Memphis, Jacksonville, and Oklahoma City only have one each.  From a distribution perspective, these might be good candidates to consider for expansion of these leagues. :-)

-Patrick Healy

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April 1st, 2009

In Which I Reassure Nicolai Kolding About “Foripollas”

Nicolai Kolding, COO, Better Homes & Gardens Real Estate

Nicolai Kolding

For those who don’t know, Nicolai Kolding is the COO of Better Homes & Gardens Real Estate, and one of the smartest people in real estate.  It is actually a treat to be able to read his thoughts on a blog, and Realogy really has to be congratulated for lifting the barriers a little bit.  (Now if they would only go ahead and let everyone at One Campus do some blogging….)

His latest post is an interesting read, and one that is bound to generate a ton of conversation, but it hit on so much that is central to what we do here at Onboard Informatics, that I felt compelled to engage in futurism and commentary.

Nicolai describes a conversation he had “at a small, private dinner in Manhattan attended by… global power players (some from China, Russia, and Dubai) that we usually only read about.”  In said conversation, he apparently learned about a whole new concept in brokerage that will “disrupt every aspect of the real estate transaction as we now know it”:

I’m convinced that what I heard was not a theoretical conversation.  As I think about it, it all seems entirely plausible; the combination of a woeful economy with decreased consumer wealth and satisfaction has created a perfect storm.  And, I have to tell you, I’m now sure these players have the ability and willingness to pounce.

Here’s what I could gather:

  • It’s completely virtual – no offices.  I can’t even tell if there are to be agents but I assume no.
  • Massive content aggregation.
  • Massive listings aggregation.
  • Everything translatable into many major languages.
  • Search: for starters, the consumer can either search by exact property or do a general search by location, house size/style/value, neighborhood type, and some other really funky and creative attributes.
  • An almost Priceline-esque reverse auction component that will take the idea of making offers to unchartered waters.
  • An “optimal” pricing/valuation algorithm with a variable time component that allows users to calculate a home value today, tomorrow, and over decades based on their predictors.  In other words, the consumer would be looking at an analysis of not only what the home should be valued at now (based on whatever data is being fed into this) but what the best price will be and when.  Heaven knows what kind of assumptions are going into this.
  • A tie-in to a bidding of mortgage rates so that the valuation/rate data is crossed to generate a dollars-per-month optimization.
  • There was a lot more to this including some kind of a semantic web 3.0 component that allows the system to recognize users’ preferences and populate their private pages automatically.

I wish I had something more tangible to go with but I’m hoping someone out there does.  From everything I could gather, there seems to be a multi-market launch being prepared for the not-too-distant future.

This concept is going under the name (which Nicolai sort of remembered from the convo) that is something like “Foripollas”.  We don’t know what the actual name of the concept/company is, so we’ll go with Foripollas for now.

The Grand Vision

From the very start of the popular Internet (dating to somewhere around 1996/1997 after Netscape brought the military-academic complex of the Internet to the masses), one of the grand visions was the idea that direct exchange of information enabled by the Web will eliminate the middleman in virtually every transaction.  Additionally, books like the Transparent Market painted a future in which everything bought and sold approached the liquidity and transparency of the stock market as near-zero cost of information distribution and sharing led to near-perfect knowledge of pricing and value.

Ebay.com is probably the poster child for this vision.

But on the other hand, Priceline.com is probably the best known counter-argument.  Initially hailed as the model that would change everything as we know it, Priceline became the butt of jokes when the dotcom bubble burst and its stock price went into the pennies.  Priceline then had to change its model entirely in order to survive:

More recently, it has moved to a more traditional model where travelers are presented prices and are also told the name of the establishment. Travelers can still choose to name their price but the number of participants in that program has significantly diminished.

In real estate, companies such as CityFeet.com launched with the vision of leveraging the Internet to change Real Estate As We Know It by directly connecting landlords with tenants, but quickly realized that they could not succeed by alienating the real estate professional.  Closer to home, FSBO websites have made some inroads, but it seems clear that they haven’t exactly bankrupted real estate brokerages.

Technology Has Changed, But Human Beings Not So Much

Ten years later, while there have been massive advances in technology of the web, it’s hard to say that human nature has changed all that much.

Sure, we have advanced XML, web services, SOA, SaaS, mashups, interactive mapping, and cloud computing today that we didn’t back in 1999-2000, which makes what Foripollas might do intriguing… but I rather think buyers and sellers of real estate haven’t changed that much.

We’ve been conducting interview of consumers on their real estate search experience (and we’re in the process of trying to edit some dozen hours of video into something more useful).  And one of the really surprising things we’ve learned is that consumers absolutely want to use a realtor in that process.  Sometimes the reason is that even though they have done extensive research about the area, schools, amenities, and looked through dozens of listings, before they go see homes in person, they want someone who is a local expert who knows real estate to give them professional insights.  Another reason is that some people, even after having done all the research, just want the service of having someone else do the paperwork for them.

Removing the Veil

Having said that, Foripollas represents a major step forward in real estate web.  We at Onboard have been privileged to have been working with the founders for the past five months, and since Nicolai let the cat out of the bag, we may as well talk a little bit about the project.

First, the name isn’t Foripollas, but Foropillas — which is Greek for “central pillars”.  (The founder is originally from Greece, and the main investor is a major VC from Athens.)  The technology that the Foropillas team has developed, with help from Onboard, is something they feel can be the central pillar around which online real estate can be constructed.

Second, Foropillas will launch will a full panoply of community, schools, and business locations data, all drawn from Onboard’s unparalleled database.  If it’s something that’s been put into a database, we have it, and have provided it to Foropillas.  In some cases — such as detailed service data on a house — the consumer or homeowner will need to provide permission to make that information public, but at launch, everything from median income to walkability to education levels and type of employment will be easily accessible on page, and on map.

We’ve also worked with Foropillas to integrate our 50,000+ local neighborhood boundaries into their search and display interface.

Critically, Foropillas hasn’t simply leveraged all the data for the corporate website.  They have integrated all of the data, and the analytics it enables, into full suite of agent report tools.  Any Foropillas agent can quickly pull a report on an area, with in-depth school information, area trends, demographics, psychographics, and market values (along with trending) in a few minutes’ time.

Third, Foropillas represents the first major launch of the Lifestyle Listings Engine.  Nicolai wasn’t far off with his description; if anything, he wasn’t told about the real change our LLE makes possible for Foropillas.  In addition to the traditional zip/bed/bath/price search, Foropillas has map-based search (with full neighborhood and data layers right on top of the map), as well as Lifestyle Search and The Obilizer(TM).

Lifestyle Search works precisely as it sounds: you search by your lifestyle preferences using a mix of natural language and filter options.  “Show me homes in $300K range, with medical facilities within 5 minutes, walking distance to a cafe, and 15 minute commute to work” is a typical search.

The Obilizer is basically e-Harmony for real estate.  A consumer enters personal demographic and psychographic information, such as favorite magazines, how often they eat out, age, education level, and so on.  The Obilizer engine then breaks every neighborhood in the U.S. down by psychographic profile leveraging our deep database of consumer behavior and psycho-demographics, and finds matching properties.  Those listings are mailed out or sent over RSS, SMS, Twitter direct message, or FriendFeed to the consumer.

The property valuations come from Onboard’s AVM system, which we believe is not only the most accurate available on the market today, but also the most transparent, as we make our assumptions and our models pretty clear.  That is what allows Foropillas to change variables to look at predictive analysis of what the home should be worth three years out.

Finally, the entire system operates on a common CMS (content management system) built on the Drupal platform.  Each agent and office and staff employee of Foropillas is issued an account, which lets them create blogs and hyperlocal content on the platform.  Data, mapping, and anything else that could drive conversation is widgetized — very similar to the WordPress.com widgets — so that each agent can easily create a sophisticated, templated blog with a profusion of information tools.

This is the mass content aggregation: dynamic content plus data content plus listings, all with a human-centric focus.

Where Nicolai got it wrong was that Foropillas won’t have any agents.  It most assuredly will, because they recognize that the game isn’t to disintermediate realtors, but to empower them.  Also, translations will be available only in Spanish, French, and of course, Greek.

Conclusion

While our client was somewhat caught off-guard about Nicolai’s blowing the whistle on their anticipated launch, we welcome the opportunity to talk about what the website and web tools of the future ought to be:

  • Human-centric search
  • In-depth data content
  • Dynamic realtor-generated content

That is what Onboard makes possible.

For those who have read to this point, or have figured out the anagram already, I want to say thank you.  And I also want to point out that everything written in here about Onboard and our capabilities is absolutely, 100% true.  No April Foolery there.

Which means that Foripollas or Foropillas might be a ruse — but that ruse belongs solely to Mr. Nicolai Kolding, the highly-respected COO of a major national real estate brand :) — but the technology being described is not.  That tech, that level of content depth and breadth, the innovation of lifestyle search — these things are all absolutely real.  Well, except for The Obilizer… we’re waiting on a partner to build that one out.

-rsh

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March 30th, 2009

Weekly Data Updates & Add-Ins: 3/23 – 3/27

At Onboard Informatics it is our goal to provide the most comprehensive and up to date data possible.  Last week’s processing produced updates for the following data sets:

  • Great Schools, ratings and reviews
  • Neighborhood communtity characteristics data
  • Employment data - Onboard has Bureau of Labor Statistics (BLS) data coverage up to January 2009 and five years prior.

For more information on all our data categories call 212-488-1550.

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March 27th, 2009

8 Crucial Factors for Home Buyers

I know what drove my last two home buying decisions.  And I’ve asked everyone I’ve met for the past few months about what’s driving their decisions. But I wanted to get a broader perspective. So I went out and ordered the National Association of Realtors® Profile of Home Buyers and Sellers 2008.  It was well worth the price.  I have to say, NAR has some great researchers!  I’d highly recommend getting a copy of this if you want to understand who’s buying and what motivates them.

I’d like to share some excerpts from the research and give some examples of how Onboard Informatics’ Lifestyle Listings Engine can be put into action.

I’m going to pause one more time to note that this research was conducted by the National Association of Realtors Research Division.  I’ve tried not to misrepresent the information, misconstrue the results or take credit in any way for their fine work.

Facts and Findings

According to the report, 62% of all home buyers indicated that “quality of the neighborhood” was an important factor in their purchase decision.  There are obviously many factors that influence “quality” including both physical characteristics and overall reputation.  I’d like to dig a bit deeper into people’s heads to turn up how they define “quality.”  I imagine it means a lot of things to a lot of people.  But I am pretty certain that there are lots of variables involved in coming up with the quality judgement.

Sure enough, the NAR research team do drill into many angles and show that criteria vary by age group (young, first-time buyer vs. older, repeat buyer), location type (suburban vs. rural vs. urban), household composition (married couple vs. single female vs. unmarried couple) and other characteristics.  We all know that one “size” does not fit all but this report shows the extent to which that statement is true.

Included here are a swath of factors that influence the purchase decision, in rank order.  I haven’t included all of them in here, just the one that our Lifestyle Listings Engine helps to address (currently).  But trust me when I say that this report goes into MUCH greater detail.

Survey says…

  1. “Convenient to job” was ranked as important by just over half of respondents overall, and nearly 2/3 in urban areas. With Lifestyle Listings Engine, a search can be conducted based on an address (i.e., work address) and a distance (i.e., 30 miles). Coming in the next release will be the ability to enter a desired commute time (i.e. 45 minutes or less) or drive distance (i.e., <30 miles).  When gas prices hit $5+ per gallon again, we’ll see just HOW important this one is.  Oh, and sorry to all my friends around the world who already pay nearly double that :-(
  2. “Convenient to family and friends” was ranked important by over 1/3 of overall respondents and two in five in small towns.  Similar to above, an address or set of addresses may be entered to determine nearby properties.  I also know from personally talking to many retirees that this one ranks very high on their list.
  3. “Convenient to shopping” is important to just over 1/4 of respondents while this inches a bit higher in urban areas. So one of the new capabilities we’ve put into the Lifestyle Listings Engine is the ability to search for listings based on the distance to shopping.  For example, I only want places within 5 miles of a supermarket or pharmacy.
  4. “Quality of the school district” is, no surprise, a crucial factor for over 1/4 of buyers and nearly 1/3 for those looking in the suburbs.  This is directly in line with the fact that roughly 38% of all home buyers have 1 or more child under the age of 18 in the household according to NAR.  So we’ve introduced the ability to search based on school performance using ratings from GreatSchools.  “Find me homes where there’s a GreatSchools rating of 7 or better.”
  5. “Convenient to schools” was important to just over 20% of home buyers.  So just like convenient to shopping, a search can be conducted to find listings within a desired distance to a school.
  6. “Convenient to entertainment/leisure activities” and “convenient to parks/recreational facilities” rank high. Nearly 1/5 of buyers overall want entertainment nearby while this number jumps to 29% in urban areas and over 1/3 in resort areas.  While nearly 1/5 care about parks, especially in urban and resort areas.  So we’ve made it possible to search for listings based on such items as golf courses, swimming pools, parks & playgrounds, cafes, bookstores and libraries.  And we’ll continue to add more amenities.
  7. “Convenient to health facilities” ranks quite a bit lower overall but is important to 2/5 of those looking in resort areas.  So we’ve enabled search based on distance to hospitals as well.
  8. “Convenient to airport” is important to just under 10%, especially in urban areas.  So we’ve also made it possible to find listings within a desired distance to an airport.  For the rest, they can make sure they’re far way from an airport so there’s a double benefit.

There are a number of other crucial factors that go into the search and decision process that we’re working out solutions for.  But I’ll hold off talking about those until the next release.

If you’re interested in the mean time, details about the first two releases of Lifestyle Listings Engine and other posts regarding lifestyle search can be found out Lifestyle Listings Engine and property Search – Related Posts.

We’ve also been doing some of our own research that we’ll begin sharing very soon.  I will say that our direct focus groups mirror what NAR’s research already confirms–there are many factors that influence the home buying decision that have nothing to do with the home itself.  But we’re also taking it a but further to understand how people go about searching.  We got some very interesting insights into how frustrating it is to conduct a home search.  And we can’t wait to share those insights and come up with solutions where we can.

As always, I appreciate your feedback, comments, criticisms and ideas.  Feel free to email me me at spetronis@onboardinformatics.com.

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March 18th, 2009

What the Experts Have to Say About Data

garbageinout1If you’re in the any business backed by data then you realize that regardless how strong your sales team is or how much you spend on a top notch website you’re still only as good as the quality of information you represent.

I think my mother said it best, “garbage in, garbage out”.

One our our biggest struggles, being a provider of real estate information and solutions, is explaining what data even is and the opportunity cost of using  inacurate ’free’ data.   Over the past year various experts from our company ranging from Marc Siden, our CEO to Data Project Leads, Senior Relationship Managers to our CKO & CIO, Peter Goldey, one of the industries foremost experts on data collection, aggregation and integration have put together some pretty enlightening posts regarding what this data stuff is all about.

…in more technical terms than my mother of course (no offense momma :)

‘FREE’ has its Price…Are you Compromising Quality to Cut Cost?

Thursday, October 23rd, 2008 Posted in Advice, Industry | Edit | No Comments »

In rough times it’s easy to be lured by that seductive word…FREE.  We are captivated by it, mesmerized by it…    Fooled by it.    Everyday we’re offered something for free yet somehow it always ends up costing us more in the end.  It’s …

Focus on Content

Wednesday, September 10th, 2008 Posted in Informatics | Edit | No Comments »

Brian Boero over at 1000 Watt makes some great points: Let’s be frank: Most agent blogs are really bad Most brokerage attempts to participate in social media deliver little more than PR value Most Web 2.0 plays in the online real estate space have …

Chicken or the Egg: Information is Data or Data is Information?

The particular interesting evolution in data has been the advent of images being allowed to stand toe-to-toe with the more traditional quantifiable data (i.e., measurements). In the past images had been lucky to be classified merely as information, but does this mean that information is more important than data? Or had data changed, and in this digital age the fine line between data and information is blurred?

DIKW: Data, Information, Knowledge, Wisdom

Wednesday, August 20th, 2008 Posted in Advice, Informatics | Edit | No Comments »

Here’s the thing…data is useless. Now, given what we do—or are at least perceived by the world at large to do—I should probably qualify that, huh? Honestly, though, I think the statement can stand on its own. While data seems like …

Why More Data Makes People Happier

Tuesday, August 5th, 2008 Posted in Informatics | Edit | No Comments »

When potential buyers consider what they want in a community, what comes to mind? Are they young hipsters looking for an apartment closest to the most live music venues? Or are they looking for a chiropractor in the vicinity? The …

Data in Real Estate (Part 1): Creating Accessibility

Friday, July 25th, 2008 Posted in Informatics | Edit | 1 Comment »

The real estate industry has been affected by the nearly infinite amount of information available through the Internet in the same way that all industries have been. Consequently it is now more important than ever that the information clients receive …

Data in Real Estate (Part 2): Creating Quality

Friday, July 25th, 2008 Posted in Informatics | Edit | 1 Comment »

Having established a foundational knowledge of data and its application to the geographic sphere of real estate, the ability to determine what sort of data will be most valuable for a company’s business ventures is even more important. In the …

Measuring the Value of Information, Part 1 – The Content

Monday, July 21st, 2008 Posted in Geography and Mapping, Informatics | Edit | No Comments »

Whenever you spend money on anything you always should ask yourself a few questions, the first one being, “Is this worth the money?” I am sure many firms consider this and many other questions before making the decision to invest …

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March 16th, 2009

Weekly Data Update & Add ins: 3/09 – 3/13

At Onboard Informatics it is our goal to provide the most comprehensive and up to date data possible. Please see below the latest data records regarding home sales transactions.

·  Monthly Sales Aggregate Processing: 2,554,975

·  Total Number of Sales Transactions: 41,059,891

For more information on all our data categories call 212-488-1550.

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