Webinar: Why Insight Engines Matter in 2020 and Beyond Date: December 12, 2019 Presenter: Justin Sears, VP Product Marketing, Lucidworks

1. 1
Why Insight Engines
Matter in 2020 and Beyond
Presenter: Justin Sears, VP Product Marketing,
Lucidworks

2. 2
Agenda
• The Insight Engine Market
• Results of 2019 Gartner Magic Quadrant for Insight Engines
• Deep Dive Into 2019 Gartner Critical Capabilities for Insight Engines, for these Use Cases:
– External (Website) Search
– Extraction of Data for Analytics
– Insight Applications
– Internal (Intranet) Search
• Example Insight Engine Case Studies
• Q & A

3. 3
2019 Gartner
Magic Quadrant
for Insight
Engines
R E S U LT S O V E R V I E W

4. 4
“…agile organizations insist on full
transparency of information, so that
every team can quickly and easily
access the information they need...”
M C K I N S E Y | J A N 2 0 1 8

5. 5
“Organizations possess lots of data...
siloed inside disconnected
applications, and unavailable to
employees at their moments of
need.”
F O R R E S T E R | J U L 2 0 1 8

6. 66
G a r t n e r M a g i c Q u a d r a n t f o r I n s i g h t E n g i n e s | 2 0 1 9
S t e p h e n E m m o t t , S a n i y e A l a y b e y i , A n t h o n y M u l l e n | S e p t e m b e r 1 7 , 2 0 1 9
“Insight engines combine search with AI to
deliver actionable insights derived from the full
spectrum of content and data sourced within
and external to the enterprise.”

7. 77
50% BY 2020
Share of analytical queries that will be
generated via search, natural language
processing or voice, or will be
automatically generated

8. 88
LUCIDWO R KS NA ME D THE
ONLY VISIONARY
• A r c h i t e c t e d o n m a j o r o p e n -
s o u r c e p r o j e c t s
• O n e o f t h e m o s t f l e x i b l e s e t s
o f d e p l o y m e n t o p t i o n s
• E n a b l e s t h i r d p a r t i e s t o t r a i n
l e a r n i n g - t o - r a n k m o d e l s
• U s e s a n u m b e r o f a p p r o a c h e s
t o e v a l u a t e a n d t u n e r e l e v a n c e
• H i g h c u s t o m e r s a t i s f a c t i o n f o r
a b i l i t y t o e v a l u a t e a n d t u n e
r e l e v a n c e

9. 9
Insight Engines
Critical Capabilities
D E E P D I V E I N T O L U C I D W O R K S R E S U LT S I N
T H E F O U R U S E C A S E S

10. 10
Gartner Critical Capabilities for Insight Engines
2019
First in three Use Cases, second in the
fourth
External
(Website)
Search
Extraction of
Data for
Analytics
Insight
Applications
Internal
(Intranet) Search
#1 #1 #1 #2

11. 11
F US IO N HIGHEST S CO R ING
FO R ( E X TE R NA L) W E BS ITE
S EA RCH
S i t e s e a r c h w i t h i n a n d a c r o s s t h e
e n t e r p r i s e ’s p u b l i c - f a c i n g a n d
m u l t i c h a n n e l d i g i t a l p r e s e n c e

12. 1212
F US IO N HIGHEST S CO R ING FO R
E X TR AC TIO N O F DATA FO R
A NA LYTICS
D e r i v i n g d a t a f r o m i n d e x e d c o n t e n t
f o r t h e p u r p o s e s o f a n a l y s i s a n d
r e p o r t i n g , e i t h e r w i t h i n t h e i n s i g h t
e n g i n e o r v i a s y n d i c a t i o n t o o t h e r
a p p l i c a t i o n s

13. 13
F US IO N HIGHEST S CO R ING
FO R
INS IGHT A PPLICATIO NS
D e l i v e r y o f i n s i g h t t o d i g i t a l
w o r k e r s w i t h i n t h e c o n t e x t o f
c u s t o m - m a d e o r t h i r d - p a r t y
a p p l i c a t i o n s

14. 1414
F US IO N S CO R E D HIGHLY
FOR INTE RNAL ( INTRANE T)
S EA RCH
E n t e r p r i s e - w i d e s e a r c h
w i t h i n t h e d i g i t a l w o r k p l a c e

15. 15
Download Either Report For Yourself
Magic Quadrant Download:
lucidworks.com/ppc/gartner-magic-quadrant-2019/
Critical Capabilities Download:
lucidworks.com/ppc/gartner-critical-capabilties-2019/

16. 16
Customer
Case Studies
I N S I G H T E N G I N E S AT W O R K F O R
C U S T O M E R S A N D E M P L O Y E E S

17. 1717
CASE STUDY RELATED TO INSIGHT
APPLICATIONS
Better customer support
Putting the right information in front of customers in fewer clicks
Improved support calls
Shorter wait times, and a more engaged support
Reinvestment of savings
200%
Increase in CTR
50K
Fewer Support
Tickets
91%
Reduction in TCO

18. 1818
A n d r e w H e c o x | M a n a g e r , S o f t w a r e E n g i n e e r i n g | R e d H a t
“With our initial success using Solr and Lucidworks,
we’re moving all our search applications to Fusion.
Our recommendation engine was originally built on
Lucene. Lucidworks Fusion provided the UI,
security, and support we needed to make the move
to Solr while minimizing our dependency on IT
resources.”

19. 1919
CASE STUDY RELATED TO EXTERNAL
(WEBSITE) SEARCH
Reddit uses Fusion for its site search:
47M daily searches
3M daily comments
58M daily votes
>230 monthly unique users
47M
Daily Searches
99.9%
Uptime
85%
Reduction in
Infrastructure

20. 2020
N i c k C a l d w e l l | V P O f E n g i n e e r i n g | R e d d i t
“You can count the number of search errors we get
on one hand. We index more content, and we index
it faster. And you’re able to actually find things, and
find them more quickly.”

21. 2121
QUESTIONS
?

22. 22
THANK YOU