Introduction to enterprise search for intranets and websites

INTRODUCTION TO ENTERPRISE SEARCH

Kristian Norling

Hikingartist

• Problem

• Web search

• How we search and !nd?

• Current state of Enterprise Search + stats

• Technical concept

• Information quality

• Feedback cycle

Agenda

•List

mrflip

nathansnider

erikref

Finding something when I know what I want and have words to describe it.

Four modes of seeking information

Exploring when I only have some idea of what I want and may lack the words to articulate it.

Four modes of seeking information

Finding relevant items when I don’t know what I need.

Four modes of seeking information

Finding something I have seen before, but can’t remember where.

Four modes of seeking information

•Amount of information is growing everyday

•What to Search for?

•Where to Search?

•How to Search?

•Search is simple, complex and powerful

•Findability Dimensions

The State of Enterprise Search

STATS FROM THE

“ENTERPRISE SEARCH AND FINDABILITY SURVEY 2013”

DOWNLOAD REPORT

HOW CRITICAL IS FINDING THE RIGHT INFORMATION TO BUSINESS GOALS AND

SUCCESS?

EUROPE76.5%

IMPERATIVE/SIGNIFICANT

Zoom Zoom

IS IT EASY TO FIND THE RIGHT INFORMATION

WITHIN YOUR ORGANISATION TODAY?

EUROPE77%

MODERATELY/VERY HARD

LEVEL OF SATISFACTION?

proimos

EUROPE18.5%

MOSTLY/VERY SATISFIED

WHAT ARE THE OBSTACLES TO FINDING THE RIGHT

INFORMATION?

63.4% POOR SEARCH FUNCTIONALITY

52.1% DON'T KNOW WHERE TO LOOK

51.4% INCONSISTENCY IN HOW WE TAG

CONTENT

50.0% LACK OF ADEQUATE TAGS

33.1% DON’T KNOW WHAT TO LOOK FOR

Globally

“Enterprise search is the practice of making content from multiple enterprise-type sources, such as databases and intranets, searchable to a de!ned audience.”

http://en.wikipedia.org/wiki/Enterprise_search

Wikipedia De!nition

In the !eld of information retrieval, precision is the fraction of retrieved documents that are relevant to the search.

Precision takes all retrieved documents into account, but it can also be evaluated at a given cut-o" rank, considering only the topmost results returned by the system. This measure is called precision at n or P@n.

Source: Wikipedia

The Concept of Enterprise Search: Precision

Recall in information retrieval is the fraction of the documents that are relevant to the query that are successfully retrieved.

For example for text search on a set of documents recall is the number of correct results divided by the number of results that should have been returned.

Source: Wikipedia

The Concept of Enterprise Search: Recall

M number of relevant documents

N number of retrieved documents

R number of retrieved documentsthat are also relevant

Precision and Recall

PageRank

We do not have PageRank...

...but we have social!

Social Reconnects Enterprise Search

Emails, People Catalogues, Connections, Tagging, Sharing etc.

Relevance

The Concept of Enterprise Search

Examples of implementations:

- People Search

- Product Search

- Document Search

- Intranet and Website Search

- E-commerce

- Dashboard / Search as a Service

Search based Solutions

• Good Data/Information hygiene

• Crap in = Crap out

• Metadata is very important!

• Taxonomy and Metadata demysti!ed

• TetraPak example (video)

• SimCorp example

• VGR example (video)

Information / Content

•List

yeraze

svenwerk

HCE (SWEDEN)DEWEY DECIMAL CLASSIFICATION

KristianNorling

Author: Douglas CouplandTitle: Hej Nostradamus!Publisher: Norstedts

Printed by: SmedjebackenYear: 2003

Printed: 2004

KristianNorling

Metadata

Semantic

KristianNorling

Example: Ernst & Young

• Metadata

• Titles

• Content Quality

• Information Life Cycle Management

ESEO: Actionable activities

But, an average Search budget is 100K Euro

• TCO

• ROI

• KPI

Search Analytics is key

Show me the Money

Important, delivers actionable to-dos quickly

• 0-results

• Top Terms Searched for

Video: Search Analytics in Practice

Search Analytics

• Feedback form

• KPI from Search Analytics

• Session time x n:o sessions = Time spent on search x hourly price = Cost per “answer”

• Add search re!nements + exit page (=is the right answer)

User Satisfaction

Findability by Findwise

1. BUSINESS

BUILD SOLUTIONS TO SUPPORT YOUR BUSINESS PROCESSES AND GOALS

2. INFORMATION

PREPARE INFORMATION TO MAKE IT FINDABLE

3. USERS

BUILD USABLE SOLUTIONS BASED ON USER NEEDS

4. ORGANISATION

GOVERN AND IMPROVE YOUR SOLUTION OVER TIME

5. SEARCH TECHNOLOGY

• Analyze how your business goals and strategies can be met by improved information access

• Set Findability goals. Examples; increase the revenue on sales, raise productivity, improve knowledge sharing, better collaboration

• Specify your requirements

• De!ne KPI’s and measure the success of your investments

Business

• Clean up and archive or delete outdated/unrelevant information

• Ensure good quality of information by adding structured and suitable metadata

• Create and use information models and taxonomies

• Tagging?

Information

• Get to know your users and their needs

• Make sure your solution is easy to use

• Perform continuous usability evaluations, like usage tests and expert evaluations

• Make sure users !nd what they are looking for

• Enable feedback loops for complaints, feedback and praise

Users

•List• Resources!

• De!ne processes, roles and routines to govern the solution

• Perform Search Analytics

• Create easy to use administration interfaces

• Perform training, technical and editorial

• Help publishers get started with processes for better !ndability

Organisation

•List• Select a suitable search platform or make the most of your current solution• Design your architecture with search-as-a-service in mind• Utilise the full potential of the selected technology

Search Technology

Kristian Norling

LinkedIn

@kristiannorling

www.intrateam.se

norling.co

KRISTIAN NORLING