#	Pagina
attuale pagina	/open-h2020/projects/193793/index.html
-1	/open-h2020/projects/224427/index.html

Opendata, web and dolomites

ExtraLytics

ExtraLytics: Big Data Analytics for Real Estate

Total Cost €

EC-Contrib. €

Partnership

Views

ExtraLytics project word cloud

Explore the words cloud of the ExtraLytics project. It provides you a very rough idea of what is the project "ExtraLytics" about.

garage combination worth renters ubs savvy plaguing initially uk pound extraction takes considering web accurate investors industry telegraph sophisticated consumers neighborhood analytics solutions tell questions move limited tool buyers data yield shaping 135bn time buy seller rentals society intelligence pace market desirable promises exacerbates garden week models profit decision alike competitive retail breadth renovations residential suffered below location money financial actually lack giving massive rent extralytics diadem more asymmetry investment modern prediction fast platform policy keep commission service markets age introduces efficiency oxford extract unaffordable sellers technologically house answers proof employed price employing day big estate

Project "ExtraLytics" data sheet

The following table provides information about the project.

Coordinator	THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Organization address address: WELLINGTON SQUARE UNIVERSITY OFFICES city: OXFORD postcode: OX1 2JD website: www.ox.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.
Coordinator Country	United Kingdom [UK]
Total cost	148˙377 €
EC max contribution	148˙377 € (100%)
Programme	1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
Code Call	ERC-2014-PoC
Funding Scheme	ERC-POC
Starting year	2014
Duration (year-month-day)	from 2014-11-01 to 2016-04-30

Partnership

Take a look of project's partnership.

#	participants	country	role	EC contrib. [€]
1	THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD Organization address address: WELLINGTON SQUARE UNIVERSITY OFFICES city: OXFORD postcode: OX1 2JD website: www.ox.ac.uk contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	UK (OXFORD)	coordinator	148˙377.00

Map

Project objective

Data is becoming the key to effective decision making in more and more aspects of modern society. Big data analytics provide insight into complex processes considering a breadth of factors. This promises to increase the efficiency of decision making in areas such as policy making, research, product development, or financial and retail markets. Currently, big data analytics is employed only by technologically savvy organisations with control over the relevant data. This further exacerbates the information asymmetry that has been plaguing many of these areas: real estate where buyers have long suffered from limited information, often controlled by the seller; or retail markets where sellers are now employing sophisticated competitive price intelligence solutions unaffordable to buyers. Who can tell you if it is better to buy a house with a garden or with a garage; or where renovations will yield more rent over time? ExtraLytics answers these questions through a combination of big data extraction and analytics. ExtraLytics introduces analytics and prediction models into DIADEM’s platform for accurate big data extraction from the web, which is able to extract required data at massive scale from the web. For the proof-of-concept, ExtraLytics initially focuses on residential real estate in the UK, a £4,135bn market (UBS), where buyers and renters are required to make fast decision with limited information—time on market is often below a week or even below a day as for desirable rentals in Oxford. “In an age when ‘big data’ is shaping our every move, how come an industry that takes so much profit can’t keep pace with technology and use it to actually deliver a service worth the money they take in commission?” (The Telegraph). ExtraLytics addresses this lack of data-driven analytics by giving consumers and investors alike a tool for better understanding properties, their location, their neighborhood, and their investment potential compared to other properties.

Publications

List of publications.
year	authors and title	journal	last update
2015	Stefano Ortona, Giorgio Orsi, Marcello Buoncristiano, Tim Furche WADaR published pages: 1996-1999, ISSN: 2150-8097, DOI: 10.14778/2824032.2824120	Proceedings of the VLDB Endowment 8/12	2019-07-23
2016	Tim Furche, Giovanni Grasso, Michael Huemer, Christian Schallhart, Michael Schrefl P ea CE-Ful Web Event Extraction and Processing as Bitemporal Mutable Events published pages: 1-47, ISSN: 1559-1131, DOI: 10.1145/2911989	ACM Transactions on the Web 10/3	2019-07-23
2015	Marco Calautti, Georg Gottlob, Andreas Pieris Chase Termination for Guarded Existential Rules published pages: , ISSN: , DOI:	Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6 - 8, 2015 1378	2019-07-23

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "EXTRALYTICS" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "EXTRALYTICS" are provided by the European Opendata Portal: CORDIS opendata.