Day 2 Online and Cloud Analytics

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Day 2 Online and Cloud Analytics by Mind Map: Day 2 Online and Cloud Analytics

1. Online Analytics

1.1. Hierachy of Online Importance

1.1.1. Linked Data

1.1.1.1. Cloud Analytics

1.1.1.1.1. Unstructured Analytics

1.2. 5 Stars of Linked Data

1.2.1. Data is made available

1.2.2. Data is Machine Readable

1.2.3. Format is Open Standard

1.2.4. Linked Data Format : URL for all properties

1.2.5. Declaring Equivalence of Properties

1.3. DataMarkets

1.3.1. Commercial Datamarkets

1.3.1.1. Windows Azure

1.3.1.2. Factiva

1.3.1.3. Lexis Nexis

1.3.2. Open Data Markets

1.3.2.1. Open Knowledge Foundation

1.3.2.2. Wikimedia

1.3.2.3. CKan

1.3.2.4. Factual

1.3.2.5. Many Eyes

1.4. Open Government

1.4.1. Data.gov.au

1.4.2. GovHack

1.4.3. Data.gov.uk

1.4.4. Federal Reserve

1.5. Author(s)

1.5.1. Read, Write, Web

1.5.2. Gil Elbaz

1.5.3. Whire House

1.6. Related Documents

2. Analytics in the Cloud

2.1. Find Share and Collaborate

2.1.1. Link Needs

2.1.1.1. Durable

2.1.1.2. Semantic

2.1.1.3. Restfull

2.1.2. Touchgraph Exercise

2.1.3. FUsion

3. Location and Mobile

3.1. Linking Mapping with Segmentation

3.1.1. Geotribes

4. Analytics for Web Campaigns

4.1. Integrating Campaigns

4.1.1. Closed Loop Communications

4.1.1.1. Sender

4.1.1.2. Encoder

4.1.1.3. Media & Message

4.1.1.4. Decoder

4.1.1.5. Receiver

4.1.1.6. Response

4.1.1.7. Feedback

4.1.2. Target Audience

4.1.2.1. Identify Group

4.1.2.2. Determine Response Sought

4.1.2.3. Choose the Message

4.1.2.4. Choose the Media

4.1.2.5. Select the Message Source

4.1.2.6. Evaluate

4.1.3. Repsonse Type

4.1.3.1. Awareness

4.1.3.2. Knowledge

4.1.3.3. Liking

4.1.3.4. Preference

4.1.3.5. Intent

4.1.3.6. Purchase

4.1.3.7. Action

4.1.4. Response Timing

4.1.4.1. Signficance

4.1.4.2. Relevance

4.1.4.3. Timing