APRIL 2012
The Cloud: Searching for Meaning Is Your Data Cloud-Ready? Š CGI GROUP INC. All rights reserved _experience the commitment TM
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 2 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 3 Confidential
Traditional Web search approaches are not hitting the mark
Traditional Web Search Approach A search engine is used to retrieve data from the “cloud� in an attempt to satisfy information needs. Search results are browsed and filtered manually by the user. Even if meaningful data is found, the process is repeated all over again.
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Pipes & Mashups can be leveraged to combine “Cloud” and Enterprise data
Pipes* is a powerful composition tool to aggregate, manipulate, and mashup content from around the Web.
A mashup* is a Web page or application that uses and combines data, presentation or functionality from two or more sources to create new services.
“Web 2.0” Search Approach Search engine capabilities are combined with Web 2.0 tools such as pipes and data mashups to retrieve data from the “cloud” and satisfy specific information needs. A subscription model is used to browse and filter data automatically. 5 Confidential
Seeding the “Cloud” helps influence the value of information you receive
“Web 2.0” Search Approach The Web evolution is enabling technologies and tools to facilitate information sharing and collaboration in virtual communities, where members are active participants as “prosumers” of content, instead of passive consumers of data. 6 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 7 Confidential
Example 1: Prime Time Blogs
General Discussion Discuss everything NCIS here.
Episodes Share your thoughts on NCIS Episodes.
Characters Discuss your favorite NCIS characters.
NCIS rating between 11 – 20 million viewers Search results (Google): “NCIS Episode” 194,000, “NCIS Episode Blogs” 69,300
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Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 9 Confidential
Initiatives are on their way to make sharing data in the “Cloud� easier
Open Data Initiatives Government 2.0 refers to the integration of new-generation digital media technologies into government structure and operations. 10 Confidential
Sharing and using shared data can open new possibilities of value creation
Open Data Initiatives Government 2.0 refers to the integration of new-generation digital media technologies into government structure and operations. 11 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 12 Confidential
Example 2: “Unlocking” Your Data
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Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 14 Confidential
The “ABC” Formula Open Data
Web 2.0 Prosumers (Social Media)
Web 2.0 Pipes & Data Mashups Traditional Web Search
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The “ABC� Formula
How? Analytics can enhance both Enterprise and Web Search capabilities by incorporating machine learning and automation techniques for meaningful information retrieval. 16 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 17 Confidential
Some of the Challenges Unclear requirements Lack of Web “visibility” “Not there yet”
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Some of the Challenges Unclear requirements Lack of Web “visibility” “Not there yet” •
Content ingestion (or content collection) models*: Push model: A source system is integrated with the search engine in such a way that it connects to it and pushes new content directly to its APIs. • Pull model: The software gathers content from sources using a connector such as a web crawler or a database connector. •
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RSS-enabled content, which includes full or summarized text plus metadata.
* Wikipedia
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Some of the Challenges Unclear requirements Lack of Web “visibility” “Not there yet” • • • •
Who is going to own the initiative? Competing priorities Privacy issues Infrastructure concerns Is your Data Ready? More importantly… Is your Organization Ready? 20 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 21 Confidential
Shaping your data for “Cloud” readiness Data Governance
• How are you handling? • Data Quality • Data Privacy and Security • Metadata
Opportunity Identification
• How are you mapping business value creation opportunities to Big Data & the “Cloud”?
Asset Protection Value Ingestion
• How are you protecting your assets from the threats that exist in the “Cloud”?
• How are you changing in response to the value that is being created? • Are you equipped to change? 22 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 23 Confidential
Conclusions •
Web 2.0 technologies and analytics provide feasible options to cope with challenging characteristics of Big Data (i.e., volume, velocity, and variety).
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Analytics enables enterprise search solutions to perform complex tasks requiring machine learning and automation.
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Cloud readiness goes beyond data and available technology. When preparing your data and organization to become Cloud-Ready… Consider the “ABC” formula 24 Confidential
Agenda • • • • • • • • •
Finding meaningful data in the “Cloud” Example 1: Prime Time Blogs Open Data Example 2: “Unlocking” Your Data The “ABC” Formula Some of the Challenges Shaping your data for “Cloud” readiness Conclusions Q&A 25 Confidential
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