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Enterprise Search as a Service
ENTERPRISE SEARCH AS A SERVICE
V I R E N PAT E L - P W C
• Director – Chief Data Office
• Enterprise Search Product Owner
Contact:
• viren.jitendra.patel@pwc.com
Agenda
• Search Strategy Areas of Focus
• Cognitive Search Engine
• Search as a Service
• Search Center of Excellence
• Search Relevancy
• Analytical Search
Enterprise Search Strategic Focus Areas
Objectives Innovate and Expose Don’t Reinvent the Wheel Governance
Actions
● Create index of strategic
firm information
● Develop a cognitive search
engine using AI, ML, and
NLP
● Expose information through
strategic communications
channels
● Evaluate applications for SaaS
candidates vs. independently
building a search solution
● Onboard applications that meet
SaaS criteria
● Consolidate search technology
spend
● Leverage existing Search
resources
● Expose through firm
applications
● Develop Search best
practices
● Analyze and mine the firm’s
search metrics data to
improve user experience
● Curate and Expose library
of search links that can be
embedded across search
applications
Benefits Increase productivity Manage and reduce costs Harmonize Search
Cognitive Search Engine and
Enterprise Index
Search as a Service (SaaS) Search Center or Excellence
Search Utopia: Cognitive Search Engine
Create a Harmonized Search Experience for the firm that has Fast, Accurate, and Relevant results
Enterprise Content
Sources
Email
Cloud Storage Files
Data Lake – Data Content
Intranet Mobile Chatbot/Virtual
Assistant
NLP, Intent Intelligence, Reading Comprehension, Q&A
Relevancy boosting , Recommendations, Trending
Personalized and Persona search
Ingestion Intelligence - Metadata and Taxonomy generation
Audio/Video Search, Analytical Search, Image Search, OCR
Search
Voice Search, Notifications, Story Generation, Multi-Language
Search, Real time metrics, Relationship Detection
Employee Experience Focused
Search Capabilities Index
Search as a Service
Enterprise
Search
Search Technology Curated Content
Indexes and Data
Search Data
Search as a Service
S E A R C H T E C H N O L O G Y U T I L I Z E D B Y O T H E R F I R M A P P L I C AT I O N S V S B U I L D I N G I N A S I L O
P R I VAT E I N D E X C O L L E C T I O N S
S E A R C H B A R F O R P O R TA L S I T E S T O E X P O S E E N T E R P R I S E S E A R C H
A C C E S S T O D ATA C O L L E C T I O N S T O E N H A N C E E X I S T I N G A P P L I C AT I O N S E A R C H C A PA B I L I T I E S
A P I A C C E S S P R O V I D E D T O G R O U P S N E E D I N G U N S T R U C T U R E D D ATA F O R D ATA S C I E N C E
P R O J E C T S
FAT H O M H A S C R E AT E D N E W D ATA A S S E T S S U C H A S S E A R C H Q U E R Y A N D C L I C K D ATA
Search and Data Assets
Search Center of Excellence
P R O V I D E A N D S H A R E S E A R C H B E S T P R A C T I C E S T O G R O U P S D E V E L O P I N G S E A R C H W I T H I N
A P P L I C AT I O N S
A N A LY Z E A N D M I N E S E A R C H D ATA A C R O S S A P P L I C AT I O N S T O A S S I S T W I T H S E A R C H
O P T I M I Z AT I O N
C E N T R A L I Z E T H E M A N A G E M E N T O F C U R AT E D S E A R C H L I N K S T H AT C A N B E E M B E D D E D
A C R O S S A P P L I C AT I O N S T O P R O V I D E A C O N S I S T E N T A C C U R AT E S E A R C H E X P E R I E N C E
VA L I D AT E A N D C O N F I R M R O I O F S E A R C H
Harmonize Search through Data Mining and Governance
Search Relevancy
I D E N T I F I E D U S E R S F R E Q U E N T S E A R C H T E R M S
T H R O U G H S E A R C H T E R M C U R AT I O N W E H AV E B E E N A B L E T O N AV I G AT E 5 0 % O F S E A R C H E S
T O T H E A C C U R AT E L I N K T H U S S AV I N G T I M E
I N C O R P O R AT I O N O F A R E A D I N G C O M P R E H E N S I O N M O D E L S T O A N S W E R Q U E R Y Q U E S T I O N S
Query Curation
Analytical search
Ability to provides insights and answers from information utilizing NLP and BI capabilities.
10
3rd party data example Client data example
Q:
A:
Q:
A:
“What was the price of Aluminum in December of 2000” “Top 10 Revenue Journal Entries for client X in Q2 2018”
$1,565.41, Source from 3rd Party Data Catalog – World
Bank - Commodity Price data
Journal entry details from client’s data set
THANK YOU
V I R E N PAT E L
Contact:
• viren.jitendra.patel@pwc.com

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Enterprise Search as a Service at PwC - Viren Patel, PricewaterhouseCoopers

  • 2. ENTERPRISE SEARCH AS A SERVICE V I R E N PAT E L - P W C • Director – Chief Data Office • Enterprise Search Product Owner Contact: • viren.jitendra.patel@pwc.com
  • 3. Agenda • Search Strategy Areas of Focus • Cognitive Search Engine • Search as a Service • Search Center of Excellence • Search Relevancy • Analytical Search
  • 4. Enterprise Search Strategic Focus Areas Objectives Innovate and Expose Don’t Reinvent the Wheel Governance Actions ● Create index of strategic firm information ● Develop a cognitive search engine using AI, ML, and NLP ● Expose information through strategic communications channels ● Evaluate applications for SaaS candidates vs. independently building a search solution ● Onboard applications that meet SaaS criteria ● Consolidate search technology spend ● Leverage existing Search resources ● Expose through firm applications ● Develop Search best practices ● Analyze and mine the firm’s search metrics data to improve user experience ● Curate and Expose library of search links that can be embedded across search applications Benefits Increase productivity Manage and reduce costs Harmonize Search Cognitive Search Engine and Enterprise Index Search as a Service (SaaS) Search Center or Excellence
  • 5. Search Utopia: Cognitive Search Engine Create a Harmonized Search Experience for the firm that has Fast, Accurate, and Relevant results Enterprise Content Sources Email Cloud Storage Files Data Lake – Data Content Intranet Mobile Chatbot/Virtual Assistant NLP, Intent Intelligence, Reading Comprehension, Q&A Relevancy boosting , Recommendations, Trending Personalized and Persona search Ingestion Intelligence - Metadata and Taxonomy generation Audio/Video Search, Analytical Search, Image Search, OCR Search Voice Search, Notifications, Story Generation, Multi-Language Search, Real time metrics, Relationship Detection Employee Experience Focused Search Capabilities Index
  • 6. Search as a Service Enterprise Search Search Technology Curated Content Indexes and Data Search Data
  • 7. Search as a Service S E A R C H T E C H N O L O G Y U T I L I Z E D B Y O T H E R F I R M A P P L I C AT I O N S V S B U I L D I N G I N A S I L O P R I VAT E I N D E X C O L L E C T I O N S S E A R C H B A R F O R P O R TA L S I T E S T O E X P O S E E N T E R P R I S E S E A R C H A C C E S S T O D ATA C O L L E C T I O N S T O E N H A N C E E X I S T I N G A P P L I C AT I O N S E A R C H C A PA B I L I T I E S A P I A C C E S S P R O V I D E D T O G R O U P S N E E D I N G U N S T R U C T U R E D D ATA F O R D ATA S C I E N C E P R O J E C T S FAT H O M H A S C R E AT E D N E W D ATA A S S E T S S U C H A S S E A R C H Q U E R Y A N D C L I C K D ATA Search and Data Assets
  • 8. Search Center of Excellence P R O V I D E A N D S H A R E S E A R C H B E S T P R A C T I C E S T O G R O U P S D E V E L O P I N G S E A R C H W I T H I N A P P L I C AT I O N S A N A LY Z E A N D M I N E S E A R C H D ATA A C R O S S A P P L I C AT I O N S T O A S S I S T W I T H S E A R C H O P T I M I Z AT I O N C E N T R A L I Z E T H E M A N A G E M E N T O F C U R AT E D S E A R C H L I N K S T H AT C A N B E E M B E D D E D A C R O S S A P P L I C AT I O N S T O P R O V I D E A C O N S I S T E N T A C C U R AT E S E A R C H E X P E R I E N C E VA L I D AT E A N D C O N F I R M R O I O F S E A R C H Harmonize Search through Data Mining and Governance
  • 9. Search Relevancy I D E N T I F I E D U S E R S F R E Q U E N T S E A R C H T E R M S T H R O U G H S E A R C H T E R M C U R AT I O N W E H AV E B E E N A B L E T O N AV I G AT E 5 0 % O F S E A R C H E S T O T H E A C C U R AT E L I N K T H U S S AV I N G T I M E I N C O R P O R AT I O N O F A R E A D I N G C O M P R E H E N S I O N M O D E L S T O A N S W E R Q U E R Y Q U E S T I O N S Query Curation
  • 10. Analytical search Ability to provides insights and answers from information utilizing NLP and BI capabilities. 10 3rd party data example Client data example Q: A: Q: A: “What was the price of Aluminum in December of 2000” “Top 10 Revenue Journal Entries for client X in Q2 2018” $1,565.41, Source from 3rd Party Data Catalog – World Bank - Commodity Price data Journal entry details from client’s data set
  • 11. THANK YOU V I R E N PAT E L Contact: • viren.jitendra.patel@pwc.com