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11
Factual Big Data and Local ADPAI Conference November 5, 2012
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Page 1: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

Factual – Big Data and Local ADPAI Conference

November 5, 2012

Page 2: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

Confidential

Factual Builds Local Datasets

2

62 million entities

50 countries

22 million sources

3 billion inputs

60 million

contributions

Definitive Global Data.

We provide access to definitive global data for web and mobile

apps, mobile advertising, and enterprise solutions.

Page 3: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

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Factual Data Comes Crunching Big Data

Highly scalable data stack to aggregate, resolve, cleansed,

normalized, and place data facts

Three main reference sources

Partner/Developer Contributions

Open Web Crawls/APIs

Factual Crawl

User Edits from Factual Powered Apps

• 20 million domains

• +2 billion URLs

• Partner contributions

• User edits

• 62 million place records

• 640 billion facts about

places

Page 4: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

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Big Data is About Signals

There are hundreds to thousands of signals on a web page

Page Rank, Anchor Text, Spam Score, Duplicate Text

Signals on the structured data of a Place are more difficult

Place Rank – Factual’s Assessment of a Places Relevance

How many Third Parties have a canonical URL for a place?

Count of references across the web for a place?

How many Apps are searching for a place?

Is there a Wikipedia page – how many edits?

Credit Card data – untapped source of signals

Transactions by location

Page 5: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

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To Build Signals, You Need to Know the Place

*

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Factual Crosswalk – Map Between Places

Page 7: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

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Factual Derivative Data Products

7

Resolve

• Place disambiguation – match place data against Factual Canonical Place IDs

Monetize

• Mapping of third party offer data (Groupon, LivingSocial, Yelp, etc.) to Factual

Places and available through API

• Factual pays out to developers based on conversions

Geopulse

• Factual calculated signals on a geographic point – commercial density, profile

• Third party mapped data to a geographic point – census data

Page 8: Factual Big Data and Local - static.asia-cloud.info · Factual Builds Local Datasets 2 62 million entities 50 countries 22 million sources 3 billion inputs 60 million contributions

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How Developers Access Factual Data

Flexible, scalable and highly performant API

Geographic queries

Full text search

Advance filters

Downloads that are not divorce from the system

Feeds of Diffs

Keeps data up-to-date

Simple access through APIs and Downloads

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Confidential

Mobile Ad Targeting

9

Factual Data and APIs provide hyper-local ad targeting

capability to deliver relevant high performing ads.

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Partners & Developers

Thousands of Developers Consuming and Contributing Data

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Factual Basics

Employees: ~55 (LA, Palo Alto and Shanghai)

Team: Google, Yahoo!, LinkedIn, Idealab

Financing: $25M in Series A in December ‘10

Investors: Andreessen/Horowitz, Index Ventures, SV Angel,

Esther Dyson, Mårten Mickos


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