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The Cloud: Searching for Meaning

Is Your Data Cloud-Ready?

APRIL 2012

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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

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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

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Traditional Web search approaches are not hitting the mark

Traditional Web Search ApproachA 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

“Web 2.0” Search ApproachSearch 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.

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.

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Seeding the “Cloud” helps influence the value of information you receive

“Web 2.0” Search ApproachThe 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.

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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

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Example 1: Prime Time Blogs

EpisodesShare your thoughts on NCIS Episodes.

CharactersDiscuss your favorite NCIS characters.

General DiscussionDiscuss everything NCIS here.

NCIS rating between 11 – 20 million viewersSearch 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

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Initiatives are on their way to make sharing data in the “Cloud” easier

Open Data InitiativesGovernment 2.0 refers to the integration of new-generation digital media technologies into government structure and operations.

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Sharing and using shared data can open new possibilities of value creation

Open Data InitiativesGovernment 2.0 refers to the integration of new-generation digital media technologies into government structure and operations.

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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

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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

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The “ABC” Formula

Traditional

Web Search

Web 2.0 Pipes &

Data Mashups

Web 2.0 Prosumers

(Social Media)

Open Data

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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.

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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

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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.

• 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?

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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

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Shaping your data for “Cloud” readiness

• How are you handling?

• Data Quality

• Data Privacy and Security

• Metadata

Data Governance

• How are you mapping business value creation opportunities to Big Data & the “Cloud”?

Opportunity Identification

• How are you protecting your assets from the threats that exist in the “Cloud”?

Asset Protection

• How are you changing in response to the value that is being created?

• Are you equipped to change?

Value Ingestion

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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

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Conclusions

• Web 2.0 technologies and analytics provide feasible options to cope with challenging characteristics of Big Data (i.e., volume, velocity, and variety).

• Analytics enables enterprise search solutions to perform complex tasks requiring machine learning and automation.

• Cloud readiness goes beyond data and available technology.

When preparing your data and organization to become Cloud-Ready…

Consider the “ABC” formula

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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

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