Enhance Your SharePoint Investment With Lucidworks Fusion

Six Ways Fusion Improves Search in SharePointSharePoint is a terrific platform for managing data, creating workflows, and fostering collaboration. But optimizing search in SharePoint is a daunting task. Instead, add Lucidworks Fusion to your SharePoint ecosystem. Make the most of its native search capabilities and gain search features that will get every employee to their next best action.

Six Ways Improves Search in SharePoint

“�The�most�exciting�possibility�is�to�build�a�hybrid�system�using�SharePoint�and�Lucidworks�Fusion.�This�gives�you�SharePoint�for�document�storing,�sharing�and�collaboration�features�for�teams—everything�that�supports�the�flow�of�work—and,�Fusion�with�its�AI-powered�search,�which�lets�you�easily�tune�relevance�and�create�a�self-learning�system�based�on�users’�history�and�behavior.”�TOMASZ�SOBCZAK,�SHAREPOINT�AND�SEARCH�EXPERT,�FINDWISE

If�you�had�unlimited�time�and�staff,�you�could�spend�all�day�turning�every�knob�and�tuning�every�config�file�to�get�the�best�possible�results�from�SharePoint’s�native�search.�But�you�don’t�have�unlimited�resources.�You�need�a�system�that�knows�how�to�turn�its�own�knobs.�What�you�want�is�a�self-tuning�search�engine�with�advanced�machine�learning�that�automatically�improves�results�with�every�use.

Searchers�don’t�always�describe�things�in�the�same�terms�that�your�SharePoint�does.�This�typically�leads�to�searches�with�bad�or�zero�results.�Head-n-Tail�Analysis�uses�machine�learning�based�on�misspellings,�word�order,�synonyms,�and�other�types�of�common�mismatches�to�automatically�fix�search�keywords�in�real�time.

The�quest�to�personalize�search�in SharePoint tends to create a�vast�sea�of�per-department�instances.�This�fragmentation�hampers�personalization�and�contextual�search�based�on�all�of�a�company’s�individual�users.�Fusion�understands�user�intent�and�search�patterns�in�the�aggregate�and�personalizes�SharePoint�search�results�using�many�more�criteria�than�just�business�unit�or�department.

Self-Tuning Search Personalization

Fusion

Head-n-Tail Analysis

SharePoint�natively�understands�Microsoft�files�and�PDFs�but�struggles�to�provide�relevant�results�for�other�file�types.�Fusion�augments�SharePoint’s�native�search�capabilities�with�an�understanding�of�other�enterprise�data�in�various�formats.�This�combination�provides�a�single-pane�view�for�data�access�across�the�enterprise.

Fusion�helps�scale�search�in�SharePoint�by�distributing�data�across servers with a resource pool�separate�from�SharePoint�itself.�Fusion�does�not�rely�on�databases�for�content�status�and�administration.�Instead,�it�automatically�splits�the�data�among�nodes,�self-balances,and�tunes�itself.�Fusion�ships�with�linear�scalability,�high�availability�and�disaster�recovery.

What�are�people�looking�for?�Are�they�finding�it?�Are�there�patterns�in�user�search�behavior�that�you�should�be�aware�of?�Fusion�helps�visualize�usage�patterns�for�insights�into�user�behavior.�Fusion�finds�and�reveals�what�users�are�doing,�where�they�are�having�trouble,�and�what�they�care�about�as�they�try�to�access�information�to�do�their�jobs.

Search Across All Content Types Scale and Performance Powerful Analytics

HOW FUSION ENHANCES AND EXTENDS THE POWER OF SHAREPOINT

Enhance SharePoint with AI-Powered SearchLucidworks Fusion offers AI-powered search so employees can find what they need and take the next best action. For more information or to start using Fusion, contact us today at lucidworks.com/contact or call 415-329-6515.

FEATURE DESCRIPTION SHAREPOINT FUSION

SIGNAL-DRIVEN�RELEVANCYCapture�user�signals�like�clicks�and�queries�to�fine-tune�relevancy�and�move�popular�documents�to�the�top�of�results 7 3

ANALYTICSDerive�detailed�real-time�reports�and�visualizations�from� user�signals 7 3

HEAD-TAIL�ANALYSISAlert�business�users�to�misspellings�in�queries�and�potential�query�re-writes�to�automatically�improve�relevancy 7 3

A/B�TESTING�WITH�EXPERIMENTSManage�A/B�test�query�pipelines�to�pick�strategies�that�improve�productivity 7 3

AI-POWERED�SPELL�CHECKAutomatically�generate�spelling�and�synonym�lists�that�include�common�misspellings�and�misplaced�blank�spaces 7 3

AUTO-SUGGESTLeverage�existing�business�signals�to�generate�auto-suggests�as�user�types�in�the�search�box 3 3

INTERFACE�FOR�RELEVANCY�TUNINGManage�boosts,�blocks,�and�other�business�rules�from�an�easy-to-use�interface�for�relevancy�tuning 3 3

AI-POWERED�RECOMMENDATIONSLeverage�existing�signals�to�generate�related�recommendations 7 3

INDEXING�SPEED Reduce�indexing�times�by�up�to�80% 7 3

PERSONALIZATIONPersonalize�the�end-user�experience�to�improve�adoption� and�increase�engagement 7 3

CONTENT�CATEGORIZATIONUse�the�existing�corpus�and�signals�to�automatically�classify�and�tag�new�documents 7 3

INCREMENTAL�UPDATES Index�fast�moving�data�such�as�databases�and�reports 7 3

SCALABILITY Scale�and�index�millions�of�files,�records,�and�documents 7 3