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SplunkLive! Splunk for Business Analytics

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Copyright © 2012 Splunk Inc. Splunk for Business Analytics
Business Analytics is Changing 2 “…data warehouse no longer represents capabilities necessary for BI.” “….new information management capabilities to integrate information from unstructured information sources.” “…..traditional data warehouse to support BI platform is no longer sufficient.” 2
Structured Data (BI) Business Analytics from Machine Data Enriching Machine Data with Structured Data Moving Beyond Structured Data 3 Current
Business Insights with Splunk 4 Representative Use Cases Across Customers Application Analytics (usage clickstream + feature descriptions + customer profile) Content & Search Analytics (mobile access + content downloads + search) Real-time Sales Analytics (device activation + billing plans + geo location) Service Cost Analytics (call detail records + tariffs database + VOIP peering) Online Monetization Analytics (customer clickstream + virtual goods pricing + billing) Marketing Analytics (web/mobile logs + ad pricing + click through)
Splunk: Complementing BI Investments 5
6 New Business Analytics Capabilities & Apps DB Connect ODBC Driver Splunk DB Connect Pentaho Pentaho Business Analytics for Splunk Tealium Tealium Digital Analytics App Datasift DataSift Social Data Streams Data Models / Pivot
Splunk for Business Analytics 7 Complement traditional tools New class of data for business analytics Enrich machine data with structured data Real-time business insights Faster insights from Hadoop
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SplunkLive! Splunk for Business Analytics

  • 1. Copyright © 2012 Splunk Inc. Splunk for Business Analytics
  • 2. Business Analytics is Changing 2 “…data warehouse no longer represents capabilities necessary for BI.” “….new information management capabilities to integrate information from unstructured information sources.” “…..traditional data warehouse to support BI platform is no longer sufficient.” 2
  • 3. Structured Data (BI) Business Analytics from Machine Data Enriching Machine Data with Structured Data Moving Beyond Structured Data 3 Current
  • 4. Business Insights with Splunk 4 Representative Use Cases Across Customers Application Analytics (usage clickstream + feature descriptions + customer profile) Content & Search Analytics (mobile access + content downloads + search) Real-time Sales Analytics (device activation + billing plans + geo location) Service Cost Analytics (call detail records + tariffs database + VOIP peering) Online Monetization Analytics (customer clickstream + virtual goods pricing + billing) Marketing Analytics (web/mobile logs + ad pricing + click through)
  • 5. Splunk: Complementing BI Investments 5
  • 6. 6 New Business Analytics Capabilities & Apps DB Connect ODBC Driver Splunk DB Connect Pentaho Pentaho Business Analytics for Splunk Tealium Tealium Digital Analytics App Datasift DataSift Social Data Streams Data Models / Pivot
  • 7. Splunk for Business Analytics 7 Complement traditional tools New class of data for business analytics Enrich machine data with structured data Real-time business insights Faster insights from Hadoop