2. Creating New Business Value with Big Data
Attivio Active Intelligence Engine®
Creating New Business Value with Big Data

3. 55% of all Big Data projects are: never completed
Big Data Survey
55% of all Big Data projects are:
never completed
do not meet objectives
Why?
Source: Infochimps, CIOs & Big Data: What your IT Team wants you to Know (2013). Survey of IT professionals involved in Big Data projects.

4. Big Data Survey
Top two reasons why Big Data projects are never completed or fail to meet expectations
Inaccurate scope
51%
Technical roadblocks
41%
Source: Infochimps, CIOs & Big Data: What your IT Team wants you to Know (2013). Survey of IT professionals involved in Big Data projects.
Source: Infochimps, “CIOs & Big Data: What your IT Team wants you to Know” (2013). 4

5. Top two reasons why Big Data projects fail outright
Big Data Survey
Top two reasons why Big Data projects fail outright
Lack of business context around the data
51%
Inability to connect the dots between data sources
51%
Source: Infochimps, CIOs & Big Data: What your IT Team wants you to Know (2013). Survey of IT professionals involved in Big Data projects.
Source: Infochimps, “CIOs & Big Data: What your IT Team wants you to Know” (2013). 5

6. 80% Big Data Survey Single greatest challenge to Big Data projects:
Gathering data from information silos
80%
Source: Infochimps, CIOs & Big Data: What your IT Team wants you to Know (2013). Survey of IT professionals involved in Big Data projects.
Source: Infochimps, “CIOs & Big Data: What your IT Team wants you to Know” (2013).

7. Attivio’s Active Intelligence Engine effectively addresses these critical Big Data issues.
Source: Infochimps, CIOs & Big Data: What your IT Team wants you to Know (2013). Survey of IT professionals involved in Big Data projects.

8. Original heavy focus on Big Data infrastructure (volume)…

9. …while Big Data success requires dealing with Variety and Complexity

10. Attivio’s Active Intelligence Engine® (AIE®)
Attivio AIE
Structured Data
Unstructured Data
Unstructured Content
CRM
ERP
Enterprise Data Warehouses
Data Marts
Integrate information of any type (structured, unstructured), in any format, from any repository, internal or external
Correlate information across sources at query time, with no data modeling required
Access information at any level – document, record, thumbnail, aggregate/trend – using search or SQL
Build analytics that incorporate information from all silos of information
Sensor data • Log files • Clickstreams

11. The Solution is Unified Information Access
Information Landscape
The Solution is Unified Information Access
“Unified information access platforms will emerge to knit together information silos across the enterprise, no matter the format or the content.
They are capable of indexing and integrating large volumes of unstructured, semi-structured, and structured information into a unified environment for information discovery, analysis, and decision support.”
Worldwide Big Data Technology
and Services 2012–2015 Forecast 11

12. ACTIVE INTELLIGENCE ENGINE (AIE)
SEARCH & DISCOVERY
ENTERPRISE APPLICATIONS
PERSONALIZED CONTENT & eCOMMERCE
ACTIVE DASHBOARDS
AD HOC QUERY TOOLS
BUSINESS INTELLIGENCE TOOLS
ACTIVE INTELLIGENCE ENGINE (AIE)
Web Server
File Server
Server
CMS, CRM, ERP
Hadoop
A/RDBMS/EDW

13. QUERY/RESPONSE WORKFLOWS
SEARCH & DISCOVERY
ENTERPRISE APPLICATIONS
PERSONALIZED CONTENT & eCOMMERCE
ACTIVE DASHBOARDS
AD HOC QUERY TOOLS
BUSINESS INTELLIGENCE TOOLS
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE WORKFLOWS
Active Security • In-Engine Analytics • Alerts
UNIVERSAL INDEX
Schema-less Indexing • Ad hoc Query-Time JOIN of all data & content • Linear Scalability
INGESTION WORKFLOWS
Content & Data Transformation • Text Analytics • Real-Time Updates • Triggers
CONTENT API
Push or stream data/content into AIE
DATA & CONTENT CONNECTORS
Web Server
File Server
Server
CMS, CRM, ERP
Hadoop
A/RDBMS/EDW

14. GE Aviation
Create new BI platform to more proactively manage customer engine fleets
Improve efficiency, customer satisfaction and repeat business
Need to understand WHY trends in engine key metrics were taking place - requires deeper understanding beyond “just the numbers”
Problem

15. GE Aviation 15 Problem Solution: AIE
Create new BI platform to more proactively manage customer engine fleets
Improve efficiency, customer satisfaction and repeat business
Need to understand WHY trends in engine key metrics were taking place - requires deeper understanding beyond “just the numbers”
Problem
“Analyze Everything” platform for agile BI
Integrates, correlates and presents data and content, with no advance data modeling required:
Engine sensor data, generated in Big Data volumes
Service status data, quality metrics, CRM and other databases
Customer case management notes; service tech notes
BI tool support with SQL support & ODBC/JDBC connectivity
Solution: AIE 15

16. Packaged Applications Active Dashboard Toolkit Ad hoc Query Tools
Integration
Correlation
Access
Analytics
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
Ad hoc Query Tools
BI & Data Visualization Tools
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE
WORKFLOWS
UNIVERSAL
INDEX
GE Aviation identified several essential performance metrics, requiring data from multiple sources, including:
--Engine diagnostic data constantly generated by sensors throughout each engine’s operation, approaching “big data” volumes.
--Manufacturing quality metrics, already maintained in a data warehouse.
--Customer Resource Management (CRM) records.
--Engine service status data (e.g., engine utilization, service hours since last maintenance, etc.).
SENSOR DATA
INGESTION
WORKFLOWS
CONNECTORS
Web Server
File Server
Server
Content MGMT
CEP Engine
CRM, ERP
ADBMS/EDW

17. Packaged Applications Active Dashboard Toolkit Ad hoc Query Tools
Integration
Correlation
Access
Analytics
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
Ad hoc Query Tools
BI & Data Visualization Tools
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE
WORKFLOWS
UNIVERSAL
INDEX
GE Aviation identified several essential performance metrics, requiring data from multiple sources, including:
--Engine diagnostic data constantly generated by sensors throughout each engine’s operation, approaching “big data” volumes.
--Manufacturing quality metrics, already maintained in a data warehouse.
--Customer Resource Management (CRM) records.
--Engine service status data (e.g., engine utilization, service hours since last maintenance, etc.).
SENSOR DATA
QUALITY METRICS
INGESTION
WORKFLOWS
CONNECTORS
Web Server
File Server
Server
Content MGMT
CEP Engine
CRM, ERP
ADBMS/EDW

18. Packaged Applications Active Dashboard Toolkit Ad hoc Query Tools
Integration
Correlation
Access
Analytics
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
Ad hoc Query Tools
BI & Data Visualization Tools
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE
WORKFLOWS
CUSTOMERS
PRODUCTS
UNIVERSAL
INDEX
GE Aviation identified several essential performance metrics, requiring data from multiple sources, including:
--Engine diagnostic data constantly generated by sensors throughout each engine’s operation, approaching “big data” volumes.
--Manufacturing quality metrics, already maintained in a data warehouse.
--Customer Resource Management (CRM) records.
--Engine service status data (e.g., engine utilization, service hours since last maintenance, etc.).
SENSOR DATA
QUALITY METRICS
INGESTION
WORKFLOWS
CONNECTORS
Web Server
File Server
Server
Content MGMT
CEP Engine
CRM, ERP
ADBMS/EDW

19. Packaged Applications Active Dashboard Toolkit Ad hoc Query Tools
Integration
Correlation
Access
Analytics
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
Ad hoc Query Tools
BI & Data Visualization Tools
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE
WORKFLOWS
CASE NOTES
EXTRACTED
ENTITES
CUSTOMERS
SERVICE TECH NOTES
EXTRACTED
ENTITES
PRODUCTS
UNIVERSAL
INDEX
SENSOR DATA
QUALITY METRICS
Having selected Attivio’s AIE as its analytic platform, GE Aviation was able to complete its informational picture by also integrating and correlating critical unstructured content, including:
--Customer case management notes.
--Engine maintenance system notes (extended ‘memo’ text fields containing service technician observations, notes and comments).
Attivio AIE ingests such text-based information, applying advanced text analytics to enrich and normalize the content. Some of Attivio’s text processing capabilities include entity and key phrase extraction with the ability to normalize terms, synonym expansion and spelling correction.
Attivio’s text analytics maximize the value to the BI user by correlating structured and unstructured content for a more complete understanding the business, beyond what would be possible working with KPIs alone.
INGESTION
WORKFLOWS
CONNECTORS
Web Server
File Server
Server
Content MGMT
CEP Engine
CRM, ERP
ADBMS/EDW

20. Packaged Applications Active Dashboard Toolkit Ad hoc Query Tools
Integration
Correlation
Access
Analytics
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
Ad hoc Query Tools
BI & Data Visualization Tools
Simple Search
UIA
UIA
Applications
Packaged Applications
Active Dashboard Toolkit
AD HOC Query Tools
BI & Data Visualization Tools
SEARCH API
SQL over ODBC/JDBC
QUERY/RESPONSE
WORKFLOWS
CASE NOTES
EXTRACTED
ENTITES
CUSTOMERS
SERVICE TECH NOTES
EXTRACTED
ENTITES
PRODUCTS
UNIVERSAL
INDEX
SENSOR DATA
QUALITY METRICS
Unlike traditional data warehouses and other information management solutions, Attivio AIE freely integrates and correlates all enterprise information – structured data, semi-structured and unstructured content alike – with no advanced data modeling required. (Query-time JOIN)
INGESTION
WORKFLOWS
CONNECTORS
Web Server
File Server
Server
Content MGMT
CEP Engine
CRM, ERP
ADBMS/EDW

21. Attivio AIE Unifies All Data and Content
Integration
Correlation
Access
Analytics
Attivio AIE Unifies All Data and Content
GE Aviation senior management staff can now explore and discover new correlations between changes in metrics, recurring key phrases such as ‘low pressure’ written in the service notes, and match it against the engine data collected along with the service work performed.

22. Integration
Correlation
Access
Analytics
Attivio AIE Unifies All Data and Content
Spike in “Low pressure” keyphrase found in multiple service tech notes a leading indicator to subsequent data sensor alerts
By integrating, correlating and presenting these structured and unstructured sources of information into a single analytic dashboard, the company has realized a new, deeper level of operational insight to more quickly and proactively identify the root causes of problems and take corrective action.

23. GE Aviation 23 Problem Solution: AIE Results Case Study
Create new BI platform to more proactively manage customer engine fleets
Improve efficiency, customer satisfaction and repeat business
Need to understand WHY trends in engine key metrics were taking place - requires deeper understanding beyond “just the numbers”
Problem
“Analyze Everything” platform for agile BI
Integrates, correlates and presents data and content, with no advance data modeling required:
Engine sensor data, generated in Big Data volumes
Service status data, quality metrics, CRM and other databases
Customer case management notes; service tech notes
BI tool support with SQL support & ODBC/JDBC connectivity
Solution: AIE
BI pilot in just 5 weeks – “a new standard BI time to market”
Managers analyze engine KPIs correlated with key phrases from service and customer notes; The “why” behind the “what”
New insights into root causes behind service issues
Already seeing reduction in engine sensor alerts and unscheduled service
Results 23

24. Attivio AIE: A Platform for Big Data Innovation
Conclusions…
Attivio AIE: A Platform for Big Data Innovation
“Analyze Everything” platform with agility vital for Big Data success
One-stop analysis of “what” and “why” behind business activity
Complete 360-degree view of customers, products, markets, competitors...
Quickly iterate solutions for unmatched time to value, rapid deployment 24