Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence,...

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QWAM CONTENT INTELLIGENCE Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence, Company Information, Knowledge Management, Market Intelligence with new tools for improved information access, management and sharing SDV Nice – April 19, 2016

Transcript of Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence,...

Page 1: Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence, Company Information, Knowledge Management, Market Intelligence

QWAM CONTENT INTELLIGENCE

Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence, Company Information, Knowledge Management, Market Intelligence with new tools for improved information access, management and sharing

SDV Nice – April 19, 2016

Page 2: Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence, Company Information, Knowledge Management, Market Intelligence

AGENDA

Monitoring and Analysis of Web Information for Various Business Contexts : Competitive Intelligence, Company Information, Knowledge Management, Market Intelligence• A range of business use cases will be presented for illustrating the combined use

of several technologies and tools including web content crawling and monitoring, advanced information search and retrieval, information analytics and information delivery

• New tools and use cases presented cover : Automated and semi-automate news and content delivery for communication

purposes

Automated gathering and extraction of corporate web information for competitive intelligence, CRM systems, lead generation, etc.

Building knowledge base with selected web information for marketing and business intelligence

Information analytics of content and usage with knowledge portal applications

Content recommendation

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QWAM CONTENT INTELLIGENCE

Company specialized in providing software solutions to monitor, aggregate, manage and share professional web content• Large experience in press and media, and web monitoring applications• Large experience in managing scientific information for R&D intensive sectors

(pharma, chemicals, defense/aerospace, etc.)• More than 100 clients, mostly major accounts in Press & Media, Pharma &

Chemical industry, Luxury & Cosmetics, Defense, Commodities, etc.

Active R&D policy• Member of Cap Digital (Paris-based world technology cluster in digital

technologies)

• Active R&D policy by participating to collaborative R&D projects 2 R&D projects (semantics, big data) awarded in “Investissements d’Avenir” scheme

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QWAM SOLUTIONS: INFORMATION MANAGEMENT, SEARCH ENGINE, WEB INFORMATION MONITORING

Ask’n’Read – WebMonitor• Web information tracking in real time

• Market/business web information intelligence

• Web information management and sharing

QES InfoMedia Suite• Range of solutions for press, media and professional

content management, search and sharing

QES InfoMonitor & KM Suite • R&D/innovation/scientific information watch, content

management and knowledge management

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WEB INFORMATION FOR ALL BUSINESS NEEDS

Starting point : • Open web information is today the primary information source

for most businesses

With some exceptions (patents, pharma) where “databases” are still important ; anyway for these contexts open web information is also essential

• Information solutions tend to be more and more aggregation and organization of open web information for various business contexts New generation of web monitoring platforms

Specialized search engines and tools

Web information aggregated with premium information (news wires, company information, etc.)

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WEB INFORMATION MONITORING

FOR ALL BUSINESS NEEDS

Commerciaux

- Real web monitoring

- User friendly access

- 220.000 web sources monitored

and social networks

- French, English, German, Spanish, Italian, Portuguese organized sources

(categories)Information analysts

CI professionals

Media relations and

communication

Marketing and business

development

Marketing and sttategic

analysts

E-ReputationStrategic watchand competitive

intelligence

Sales executives,

Accountmanagers

Journalists and

business writers

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ASK’N’READ

WEB INFORMATION MONITORING Corpus (datacenter in SaaS) of about 220000 web sources

monitored in real time• News feeds, media web, etc.

• Corporate and institutional web sites

• Blogs, forums, social web

• Job offers, tender offers, etc.

• Etc.

2 millions web articles and infos scanned everyday• 220000 identified web feeds including 5000 specific feeds

(not RSS and alike)

• Automatic discovery of new sources

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ASK’N’READ – OBJECTIVES

Serving any professional or application wishing to follow web information in real time about his topics of interest:• Monitor competitors, clients, prospects and business

environment

• Follow-up of R&D projects, high-tech, start-ups, new ventures

• Track web information for managing communication and PR

• Find information about topics you write about

• Follow business and global trends for strategic thinking

• Extract company and market information for market intelligence

• Build web information resources for knowledge management

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ASK’N’READ : REAL TIME WEB INFORMATION

MONITORING AND EXTRACTION

Ask’n’Read – www.asknread.com• Real time web monitoring solution: news press releases, corporate and

official web sites, blogs, forums, social media, job offers, etc.

• Content management and sharing: selection and annotation of information ; alerts, newsletters and user’s management ; dashboards

Ask’n’Read-WebMonitor

• Real time web monitoring (cf. above)

• Advanced content management and sharing: idem above + advancedknowledge base and search engine, enhanced content management, collaboration and analytics

Ask’n’Read – Smart Content

• Monitoring and extraction of web content for feeding third party applications via RSS, API

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QWAM CONTENT INTELLIGENCE

Monitoring and aggregation of web

information

Ask’n’Read datacenter for organizing web

information feeds

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DATACENTER ASK’N’READ:MONITOR AND EXTRACT

SELECTED WEB CONTENT

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TECHNOLOGICAL COMPONENTS FOR WEB

INFORMATION MONITORING AND EXTRACTION

Real time crawling in large volumes

• Big data technologies and real time indexing

Content Enrichment

• Semantics: named entities, business concepts, specializedentities and concepts

• Business rules: content metadata based on process, worklowand context

Advanced search engine

• Faceted navigation and search : cf. bove metadata

• Other means for information access: recommendation and linked data

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QWAM CONTENT INTELLIGENCE

Real time crawling, monitoring and

aggregation

www.asknread.com and related applications

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REAL TIME CRAWLING AND MONITORING

Real time monitoring

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WEB INFORMATION CRAWLING

SEARCH IN WEB BUSINESS INFORMATIONReal time crawlingwithin Ask ’n’Read

web monitoring platform (in

production since 2012)

WebMonitor Search : aggregatedweb business information from

40000 sources available throughsearch engine and alerts (new

product launched in June 2016)

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ASK’N’READ FOR WEB INFORMATION MONITORING

Real time monitoring• Newly published information and content from:

a selection of web sources

all sources of our corpus (managed in our datacenter)

social web

• Organized in real time folders

Select and analyse relevant information • Tag and comment information (tags, relevancy, context)

• Edit newsletters and reports

Alert and share• Alerts via pushmail with user’s lists management

• Customizable newsletters (design, lay-out, text, …)

• RSS feeds or API for external applications

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QWAM CONTENT INTELLIGENCE

Content Enrichment

- Semantics- Business rules

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MEANINGFUL METADATA FROM THE WEB

Use of data center Ask’n’Read to calculate the «hot (most used or relevant) concepts and entities» from web

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MEANINGFUL METADATA FROM WEB INFORMATION

Daily top lists(In French)

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MEANINGFUL METADATA FROM WEB INFORMATION

Extraction can be tuned by category or group of sources so as to adapt to business case

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CONTENT ENRICHMENT

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CONTENT ENRICHMENT

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CONTENT ENRICHMENT

The module computes and extracts similar articles for thensuggesting links (see also, on the same topic)

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CONTENT ENRICHMENT

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CONTENT ENRICHMENT

Only « hot concepts » are used

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CONTENT ENRICHMENT WITH BUSINESS RULES

Metadata for enrichment can also derive from business processes (and not only from meaning of the content)

• Origin of the information (source, etc.)

• Administrator and users of the information

• Workflow process (qualification, sharing, etc.)

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QWAM CONTENT INTELLIGENCE

Ask’n’ReadSmart Content

To deliver relevant content extracted from the web

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FEEDS FROM ASKNREAD DATACENTER

Ask’n’Read enables to generate live feeds either by category, country, group of sources, personalized filtersgenerated from our datacenter• Examples of criteria:

Thematic: Aerospace: Agriculture, Energy, Automotive,

Information types: Medias, Blogs, Institutional and Corporateweb sites, Job offers, …

Countries and Regions: Germany, Syria, Yemen, Irak, Burkina Faso, Belgium, UK, France, Africa …

Thematic extraction

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ASK’N’READ SMART CONTENT: 300+ CRITERIA

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SMART CONTENT - EXAMPLES

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SMART CONTENT - EXAMPLES

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QWAM CONTENT INTELLIGENCE

Advanced Search Engine and Navigation

Meaningful facets can begenerated for (almost) any

web corpus

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FACETED NAVIGATION WITH ENTITIES AND CONCEPTS

Metadata coming from enrichment are available as facets for search and navigation

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FACETED NAVIGATION WITH

ENTITIES AND CONCEPTS

Any metadata canbecome a facet for search and browsing

Persons, Organization, Places, Concepts

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SEARCH WITH GEOLOCALISATION

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QWAM CONTENT INTELLIGENCE

Content Analytics(within web monitoring

folders and web knowledge base)

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ANALYTICS OF WEB KNOWLEDGE BASE

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ANALYTICS OF WEB KNOWLEDGE BASE

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ASK’N’READ COCKPIT (NEW FEATURE MAY 2016)

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ASK’N’READ COCKPIT (NEW FEATURE MAY 2016)

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QWAM CONTENT INTELLIGENCE

Content recommendation

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CONTENT RECOMMENDATION

Bring other means for accessing relevant documents

Target user’s needs (without asking them)

Be less dependent on user proactivity

Push relevant documents

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CONTENT RECOMMENDATION

Links between documents: co-occurence betweenfacets and similar documents (seen before)

Links between users and documents : come fromusage analysis

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CONTENT RECOMMENDATION Other ways to access content

Example: Home page with selected content (viewed by experts in their fields)

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CONTACT US

FURTHER INFORMATION & WEB DEMONSTRATION

Qwam Content Intelligence22 rue Chauchat

75009 Paris

[email protected] Tel : 01.44.69.59.20

www.qwamci.com @qwamCI