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Content Spending Analytics Meeting the Measurement Challenge Presented to: ICIC Skott Klebe Technical Product Manager Copyright Clearance Center
25

Optimising Content Spending with Analytics

Feb 13, 2017

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Page 1: Optimising Content Spending with Analytics

Content Spending AnalyticsMeeting the Measurement Challenge

Presented to: ICIC

Skott KlebeTechnical Product ManagerCopyright Clearance Center

Page 2: Optimising Content Spending with Analytics

Overview

• Goals

• Measurement

• Allocation

2

Page 3: Optimising Content Spending with Analytics

Goals of Analysis

3

Page 4: Optimising Content Spending with Analytics

Goals of Content Spend Analysis

Usage

Impact

Flexibility

Convenience

Latency

Cost

Labor

Barriers

Ma

xim

ize

Min

imiz

e

4

Page 5: Optimising Content Spending with Analytics

What spending are we looking at?

• Scholarly Journals

• eBooks

• Databases

• General Web Publications

• Open Access

5

Page 6: Optimising Content Spending with Analytics

Content Spending

• Subscriptions– Upfront cost

– Unlimited use

• Document Delivery– Pay as you need

– Adds up!

6

$ £€ ¥

$ £€ ¥

Page 7: Optimising Content Spending with Analytics

Content Spending

• Subscriptions– Upfront cost

– Unlimited use

• Document Delivery– Pay as you need

– Adds up!

7

$ £€ ¥

$£€ ¥

Page 8: Optimising Content Spending with Analytics

The Measurement Challenge

8

Page 9: Optimising Content Spending with Analytics

The Measurement Challenge

9

Page 10: Optimising Content Spending with Analytics

The Measurement Challenge

10

Page 11: Optimising Content Spending with Analytics

Usage Geology

11

Usage:COUNTER data

Signals of Activity

Signals of Intent

Signals of Impact

Page 12: Optimising Content Spending with Analytics

COUNTER data

• Publisher metrics for subscription access

• Organization-wide

• No user, department, cost center data

• No way to record purpose of use

12

Page 13: Optimising Content Spending with Analytics

Activity signals

• Indications of more detailed usage

–Even imperfect

• Document purchase transactions

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Page 14: Optimising Content Spending with Analytics

Mapping usage across the organization

R&D

Oncology

Lyon Madrid

Organics

Milano

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• Assess needs of different departments

• Identify “niche resources”

– Only used by 1-2 departments

– Consider charge-back, different license models

Page 15: Optimising Content Spending with Analytics

Signals of Intent

• Why was the content requested or used?

• Content that’s valued, not just used

• Assessing value:

–User surveys

–Copyright permissions

• Regulatory filings

• Requests from physicians

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Page 16: Optimising Content Spending with Analytics

Signals of Impact

• What content contributed most to desired outcomes?

• What are the most important strategic outcomes for your organization?

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Page 17: Optimising Content Spending with Analytics

Measuring Impact

What matters to your organization?

Can we trace those outcomes to content?

Can we show how our content supports those outcomes?

Drug

ResearchPatients

Products

Papers

PatentsRegulatory

filings

Non-

patent

citations

Citations

Physician

document

reqs

Page 18: Optimising Content Spending with Analytics

Allocation

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Page 19: Optimising Content Spending with Analytics

Using the Data

• Annual budget

• Change management

• General service improvement

Page 20: Optimising Content Spending with Analytics

Subscription list: economic

Clearly economical

Clearly not economical

Possibly not economical

Possibly economical

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Page 21: Optimising Content Spending with Analytics

Subscription list: Managing Change

• Reactive

–Change in usage

–Change in subscriptions

• Proactive

–Announced strategic change

–Examine licenses

–Examine content fit

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Page 22: Optimising Content Spending with Analytics

Other uses for the data

• Evidence-based negotiation process

–Compare and contrast content and rights from

• Other offerings/packages from same vendor

• Other vendors

• Open access

• Make content recommendations

• New content uses

Page 23: Optimising Content Spending with Analytics

Text Mining

• Challenging license environment

–Want to mine everything

–Can’t subscribe to everything

• Look for alternative licensing models

–Mining-only access

–Feed mining uses back into analysis

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Page 24: Optimising Content Spending with Analytics

Automate the process

• Year-round cycle

–Usage collection

–Impact analysis

–Budget plan

• Change is constant, be ready to react.

Page 25: Optimising Content Spending with Analytics

Thank you!Skott Klebe, Technical Product ManagerProduct Management978 [email protected]