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Rebecca Clayton16th November 2005
Building a case for investment
Agenda
Global research
Benchmarking
Your action plan
Methodology
550 organisations
6 sectors
CEO’s, MD’s, Senior Managers
Countries in which the survey was conducted
Your opportunity to benchmark
Your organisation
Global result UK result Sector resultYour
priorityACTION REQUIRED
1 - 24%
25 - 49%
50 - 74%
75 - 99%
100%
1 - 5%
6 - 9%
10 - 19%
20 - 49%
1 - 5%
6 - 10%
11 - 15%
16 - 20%
21 - 30%
1 - 5%
6 - 10%
11 - 15%
16 - 20%
21 - 30%
Y
N
Y
N
Y
N
Y
N
Y
N
Attendee name Company name
Q 1 What percentage of your database is accurate and complete ?
Q 2 What percentage of your database has mistakes in it created at the point of data entry ?
Q 3 What percentage of revenue do you think inaccurate / incomplete data costs your business from wasted time, lost productivity and wasted marketing spend ?
Q 4 What percentage of your annual revenue do you lose from not profiling customers because of data quality issues ?
Q 5a Does your organisation have one owner responsible for your database ?
Q 5b If so, is this their only job ?
Q 6 Do you have an organisation wide, formal data management strategy ?
Q 7 Do all employees view database accuracy as an important issue ?
Q 8 Have data management strategies been discussed at Board level in the last three years ?
Q 1 - Accuracy
What percentage of your database is accurate and complete ?
A 1 - Accuracy
% Accuracy Global UK
1 – 24 % 0 0
25 – 49 % 1 3
50 – 74 % 8 5
75 – 99 % 71 80
100 % 14 8
Q 2 – Mistakes at data entry
What percentage of your database has mistakes in it created at the point of data entry ?
A 2 – Mistakes at data entry
% data with errors Global UK
1 – 5 % 37 36
6 - 9 % 7 10
10 - 19 % 13 15
20 - 49 % 8 10
80% of organisations have data which includeserrors created at point of entry
Q 3 – Cost of waste
What percentage of revenue do youthink inaccurate / incomplete data costs your business from
wasted time, lost productivity, and wasted marketing spend ?
A 3 – Cost of waste
% Cost Global UK
1 – 5 % 46 42
6 - 10 % 7 4
11 - 15 % 5 3
16 – 20 % 3 4
21 - 30 % 1 1
73% report inaccurate data costs them money
On average 6% of annual revenue
Q 4 – Missed sales
What percentage of your annual revenue do you lose from not profiling customers because ofdata quality issues ?
A 4 – Missed sales
% Cost Global UK
1 – 5 % 46 36
6 - 10 % 8 3
11 - 15 % 4 3
16 – 20 % 2 3
21 - 30 % 2 0
75% say inaccurate data results in lost potential sales
On average 6.2% of revenue
Q 5 - Ownership
Does your organisation have one owner responsible for the database ?
Is this their only job ?
A 5 – Ownership
No. people who own data
Global
1 10 %
2 2 %
3 79 %
4 3 %
5 1 %
42% have a dedicated database manager
Only 3% of these have no other responsibilities
Q 6 – Company wide strategy
Do you have an organisation wide, formal data management strategy ?
A 6 – Company wide strategy
Finance 24%
Public sector 36%
Leisure/travel 23%
Retail 27%
Telecoms 18%
Utilities 21%
Country %
Australia 32%
Benelux 26%
France 30%
Germany 16%
Singapore 20%
UK 26%
US 30%
Sector %
Finance 24%
Public sector 36%
Leisure/travel 23%
Retail 27%
Telecoms 18%
Utilities 21%
UK third equal
Q 7 – All employees value accuracy
Do all employees view database accuracy as an important issue ?
A 7 – All employees value accuracy
Country %
Australia 41%
Benelux 44%
France 32%
Germany 52%
Singapore 76%
UK 58%
US 47%
Sector %
Finance 46%
Public sector 42%
Leisure/travel 44%
Retail 53%
Telecoms 54%
Utilities 44%
UK in second place
Q 8 - Board Level buy in
Have data management strategies been discussed at Board level in the last three years ?
A 8 – Board level buy in
Country %
Australia 8%
Benelux 7%
France 9%
Germany 6%
Singapore 35%
UK 21%
US 35%
Sector %
Finance 16%
Leisure/travel 16%
Retail 22%
Telecoms 25%
Utilities 9%
UK ahead of Europe
Benchmarking wrap up
AccuracyMistakes at entryCost of wasteMissed salesOwnershipCompany wide strategyAll employees see valueBoard level buy in
75 – 99%
6%
6.2%
3 people
26%
58%
21%
35% over 6%
Building action plans
AccuracyMistakes at entryCost of wasteMissed salesOwnershipCompany wide strategyAll employees see valueBoard level buy in
Avoid mistakes at entry
Get it right first timeAvoid database pollutionManage multiple touchpoints
Gather evidence: compare data from call centre, web, in store, coupon returns
Check field design and consistency
Avoid mistakes - action plan
Set targets for entering perfect recordAudit and report on entered dataCase study: Equipment supplier
Company wide strategy
List those who can enter dataDefine data entry standardsList owners of dataDefine ongoing maintenance routines Appoint Data Stewards
Don’t need to think one upUse templates availableCase study: Pharmaceutical company
Strategy – action plan
Getting all employees to care
Lack of knowledge of uses of dataShow evidence e.g. incorrectly addressed / returned mailShare resultsRecognise and reward good practice
Data culturePoliciesTrainingIncentivesCase study: Automotive industry
Caring employees – action plan
Board level buy in
Find a champion at this levelTap into major pain points
FinancialCompliancePerception
Need evidence to justify resource
Calculate costsEstimate lost revenueAudit complianceResearch customer perception
Case study: Mail Order Healthcare
Board buy in – action plan
Summary
Avoid mistakes at entryCreate a company wide strategyEncourage more employees to see valueSecure Board level buy in
Thank you for listening
Any Questions?