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Confessions of a Data Voyeur: From Curiosity to Better Decisions.

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Presentation on theme: "Confessions of a Data Voyeur: From Curiosity to Better Decisions."— Presentation transcript:

1 Confessions of a Data Voyeur: From Curiosity to Better Decisions

2 Bundle: Not For Distribution without Prior Consent 2 Bundle.com is a NYC based start-up that uses data to help people make smarter money decisions. Using data from billions of financial transactions, Bundle is able to show people decisions that others like them have made. We believe that this data can lead to better recommendations and better decision-making.

3 Bundle: Not For Distribution without Prior Consent 3 Further, we believe that decisions based purely on qualitative measures are leading to mistakes and bad decisions

4 Bundle: Not For Distribution without Prior Consent Today people are exposed to more new information in one day than someone in the middle ages would see in their entire lifetime!

5 Bundle: Not For Distribution without Prior Consent What we heard… 5 There is loads of information out there, but it doesnt seem relevant to people like me..

6 Bundle: Not For Distribution without Prior Consent So how do people make decisions when there is just too much information…

7 Bundle: Not For Distribution without Prior Consent They often turn to their networks and the environment surrounding them. Whether it be

8 Bundle: Not For Distribution without Prior Consent …and they do so because peer comparison is part of human nature…for better…and for worse.

9 Bundle: Not For Distribution without Prior Consent …and while social media has had some success ….building relationships ….and building products

10 Bundle: Not For Distribution without Prior Consent In the end, does it only add to the information overload problem?

11 Bundle: Not For Distribution without Prior Consent Are we past the point where people can make good decisions about where to spend their money, and more importantly, their time?

12 Bundle: Not For Distribution without Prior Consent What we heard.. 12 what I really want to know is what…not just anyone, but people like me are spending their [time and] money on…

13 Bundle: Not For Distribution without Prior Consent 13 So we built a product that allowed people to see what others like them, their neighbors, were spending their money on..

14 Bundle: Not For Distribution without Prior Consent 14 Bundles Everybodys Money Data

15 Bundle: Not For Distribution without Prior Consent 15 But we took it a step further and asked ourselves What if you could see peoples actual experiences with merchants by analyzing their spending patterns?

16 Bundle: Not For Distribution without Prior Consent And someone recommended Takashi…a restaurant on Hudson street not far from Bundle So we did a little experiment….we were hungry…

17 Bundle: Not For Distribution without Prior Consent It was rated 4.5 stars on Yelp and 4 stars on Citysearch….it must be good….

18 Bundle: Not For Distribution without Prior Consent..and, of course, individual ratings were on both ends of the spectrum

19 Bundle: Not For Distribution without Prior Consent Restaurant Relationship Map Standard NY Balthazar Spice Market Smith & Wollensky Saint Ambroeus Daniel Rosa Mexicana

20 Bundle: Not For Distribution without Prior Consent 20 Actual Analysis for one NYC Restaurant (name not shown for competitive purposes) Merchant Intelligence Data – Customer Demo

21 Bundle: Not For Distribution without Prior Consent 21..and asked ourselves a question.. What if we can see how often people actually go back to Takashi....what if we could give every merchant a score based on how loyal their customers are to them?

22 Bundle: Not For Distribution without Prior Consent We created a Loyalty Score for Takashi 100

23 Bundle: Not For Distribution without Prior Consent As before, we took it one step further.. We scored every merchant in New York based on how loyal their customers are to them

24 Bundle: Not For Distribution without Prior Consent Numbers for illustrative purposes only

25 Bundle: Not For Distribution without Prior Consent Numbers for illustrative purpose only

26 Bundle: Not For Distribution without Prior Consent 26 Getting to this point, however, has not been trivial Transaction -> something that makes sense -> something that is useful

27 Bundle: Not For Distribution without Prior Consent 27 Transactions level (aggregated and anonymized) financial data US Government Data (Bureau of Labor Statistics, Dept of Labor, Census Bureau etc.) Third party data (e.g. demographics) Recommendations on optimizing your spending

28 Bundle: Not For Distribution without Prior Consent NYC TAXI MED 7M36 09LONG ISLAND C NY$17.70Mar 23 RYE HOUSE NEW YORK NY$159.00Mar 22 ATTM* MNY ALPHARETTA GA$142.55Mar 20 COSTCO WHSE # NEW YORK NY$48.90Mar 20 TARGET T NEW YORK NY$39.29Mar 20 MIYAKO SUSHI NEW YORK NY$62.94Mar 19 ??? Transactions are not easy to decipher… Do you recognize which merchants these relate to? Keep in mind that there are millions of merchants across the U.S.

29 Bundle: Not For Distribution without Prior Consent Analyzing and extracting relationships from billions of records is not easy… $a =~ s{[\W\s]}{}g; $b =~ s{[\W\s]}{}g; if ($a eq $b) { return 1;} $a =~ s{^(THE|AN?)\s*}{}g; $b =~ s{^(THE|AN?)\s*}{}g; my $common_regex = $common_words{$cat}; if (defined $common_regex) { $a =~ s{$common_regex}{}g; $a =~ s{[\W\s]}{}g; $b =~ s{[\W\s]}{}g; if ($a eq $b) { return 1;} $a =~ s{^(THE|AN?)\s*}{}g; $b =~ s{^(THE|AN?)\s*}{}g; my $common_regex = $common_words{$cat}; if (defined $common_regex) { $a =~ s{$common_regex}{}g; $a =~ s{[\W\s]}{}g; $b =~ s{[\W\s]}{}g; if ($a eq $b) { return 1;} $a =~ s{^(THE|AN?)\s*}{}g; $b =~ s{^(THE|AN?)\s*}{}g; my $common_regex = $common_words{$cat}; if (defined $common_regex) { $a =~ s{$common_regex}{}g; $a =~ s{[\W\s]}{}g; $b =~ s{[\W\s]}{}g; if ($a eq $b) { return 1;} $a =~ s{^(THE|AN?)\s*}{}g; $b =~ s{^(THE|AN?)\s*}{}g; my $common_regex = $common_words{$cat}; if (defined $common_regex) { $a =~ s{$common_regex}{}g;

30 Bundle: Not For Distribution without Prior Consent 30 We continue to develop data oriented products that can help people make better decisions with their money and are eager to hear your thoughts us at To access the alpha version of our recommender, please sign- up at Thank You!


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