Identification & Processing

Victoria Campoamor, Identification & Processing Director

31st March 2008

Agenda

•Who are we?•What do we do?•What are our main challenges?•How do we overcome them?

Who are we?

PROCESSING TEAMS

Victoria Campoamor(Dist. Ops, Director)

Chris Mcquaid(Foreign, Live)

Vernon Johnson(New Media, PEL)

Steve Webb(Broadcasting)

Keith Wilson(Data Quality)

Danny O’Brien(Live and MSA)

Andy Hale(Processing &

PEL)

John Payne(processing)

Steve Burrows(processing)

David O’Flaherty(Processing)

Jane Lowles(MCPS &

Processing)

Ryan Donovan (Distribution

Revenue Manager)

Christine Jeffreys

(Distribution analyst)

Alyson Williams(Broadcasting

Account Analyst)

What do we do?

CopyrightData Management

Licensees Members

Distribution Operations

Licensing

Distribution Accounting

Foreign Societies

Dist. Revenue Management

revenue Data Works registrations

Revenue Data on usage Data on works

Distribution information

Members Foreign Societies

Data & £ Data & £

Data

Distribution Operations

Data load

Automatch

Manual Match

Othertasks

Distribution & Mgt informati

on

ChallengesUsages Processed Over The Last 3 Years

56,4M

35,8M

19,6M

2005 2006 2007

Broadcasting53,536

17,61117,659

563

467

707

0

10,000

20,000

30,000

40,000

50,000

60,000

2005 2006 20070

100

200

300

400

500

600

700

800

No. of Days Processed

No. of Broadcasters Processed

204% increase

in days

processed

51% increase

in the no. of

stations

60%

65%

71%

2005 2006 2007

The solution: focus on value

71% of broadcasting

revenue now over

census data

% of revenue paid over census

New media: the long tail

tracks

stre

ams/

dow

nloa

ds

4% of tracks accumulate80% of uses

72% oftracks accumulate only

4% of uses

Previous Organisation

Director

AV Manager Radio Manager Overseas Manager Live Manager

AV Team Radio Team Overseas Team Live team

Current Organisation

Director

AV Manager Radio Manager Overseas Manager Live Manager

Processing team

Benefits•Flexibility•Economies of scale•Staff savings

135 129106

2005 2006 2007

Challenges

•Lack of Domain Specialists•Solution: “pass to specialist” and

virtual network of experts

Solution:virtual network of

expertsjazz

folk

Dance & DJ

AV

Classical

PRS Repertoire System

Critical success factors

TARGETS!

•Productivity: 120 – 140 cases pp/pd

•Quality: 95% accuracy

Challenges•Productivity

MonitoringEnforcing

•QualityEstablishing sampleMonitoring

Solutions•Monitoring: team scorecards

TotalWeek 1 2 3 4 7 8 9 11 12 13 14 15 16

no no no no no no no no no noForecast 9,165 7,995 7,410 4,225 5,265 5,785 8,775 9,165 6,825 7,605 9,165 9,815 9,815 113,490

Reforecast 9,273 8,433 6,566 3,741 5,950 5,762 9,876 9,672 9,203 8,406 8,766 4,492 3,908 107,363

Actual 12,095 11,224 9,356 5,594 6,294 7,153 16,093 13,808 11,421 13,198 12,553 9,221 5,751 151,786

TotalWeek 1 2 3 4 7 8 9 11 12 13 14 15 16

Weekly 71 73 52 42 62 60 76 77 73 68 68 35 55 891

Actual 50 53 44 33 37 51 74 60 60 58 50 35 46 704

70% 72% 85% 78% 60% 85% 97% 78% 82% 85% 74% 100% 83%

Number of Man Days Where Staff Are Hitting the Cases Target per Week

D081 - Team 3 Score card

Productivity

Cases Processed - Reforecast Against Actual Man Days

Solutions•Rewards for exceeding target

Incentive scheme: if quality is met, cases over target paid at £x

•Consequences for not meeting targetPersonal Improvement Plans: with clear targets

Increase in Productivity

020406080

100120140160180200

Apr-0

6

Jun-0

6

Aug-06

Oct-06

Dec-06

Feb-0

7

Apr-0

7

Jun-0

7

Aug-07

Oct-07

Dec-07

Ave

rage

Pro

duct

ivity

Solutions•Monitoring quality:

Data quality teamData quality strategy:

- focus on value- focus on high risk areas

Data quality strategy

•Small team - 5 staff •Check a combination of ‘highest

value’ works and ‘known problem’ areas

•Check 68% of total value•Additional Ad hoc & pre-dist checks

for ‘high profile’ works•Team also responsible for training

Staff qualifying for the Incentive

Scheme54

52

3734

0

10

20

30

40

50

60

Apr Jul Oct Dec

Data

Other tasks•Classification of classical programmes•Cue-sheet requests

SUISACD ROM

AVICheck

Today2,000 requests sent

22,000 requests received

Supply paper Q/S

Request (email)

GDDN AVI

Check

Request AIR

Informlog

TomorrowCSF: exchange of

numbers

transform?

Supply paper Q/S

or AVR

Data

Distribution time!• working to deadlines: information passed on to D&M system• Distribution revenue management• KPIs

PRS distribution cycle

Q1 Q2 Q3 Q4

July October

December

April

Processing Plan

• Link to full plan

Day Date T1 T2 T3 RW PEL AM PM AM PM AM PM T1 T2 T3 RW

Mon 26-Nov 2,210 2,080 1,885 0 65 AV - Sep 3,141 2,456 2,726 0Tue 27-Nov 2,210 2,080 1,885 0 65 3,546 4,642 3,245 0Wed 28-Nov 2,210 1,950 1,885 0 65 3,134 3,314 3,196 0Thu 29-Nov 2,080 1,820 1,755 0 65 2,175 2,043 1,480 36Fri 30-Nov 2,080 1,820 1,755 0 65 JOL - OCT 1,676 1,561 1,448 0Sat 01-Dec 10,790 9,750 9,165 0 325 13,672 14,016 12,095 36Sun 02-DecMon 03-Dec 2,210 2,080 1,885 0 325 Foreign 1,809 2,404 3,036 1,912Tue 04-Dec 1,560 1,300 1,105 2,720 325 1,710 1,213 1,967 3,984Wed 05-Dec 1,820 1,560 1,495 1,440 325 BBC Radio - Oct 1,713 1,731 2,049 760Thu 06-Dec 2,080 1,950 1,755 0 325 2,095 1,715 2,476 7Fri 07-Dec 2,080 1,820 1,755 0 325 1,775 1,687 1,696 5Sat 08-Dec 9,750 8,710 7,995 4,160 9,102 8,750 11,224 6,668

Team 2 Team 3 Actual CasesPlanned productivity Team 1

In summary:•ETL tools to deal with variety of

formats•Matching tools to cope with volumes•Learnt match•Workflow system to manage workload•Roll up across domain: a work is a work

•Targets on productivity and quality

•Incentive scheme, PIPs•Virtual network of specialists•Good management KPIs and

revenue controls

Thank you!