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Ben Venter Chairman: BANKSETA Council & Conference Session Chair. 7 October 2004 09h00 – 09h15Introduction 09h15 – 10h00 Minister Membathisi Mdladlana 10h00 – 11h00Stephen Regan 11h00 – 11h30Refreshments 11h30 – 12h15Lindsay Falkov 12h15 – 13h00Financial Charter Update - PowerPoint PPT Presentation
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Ben VenterChairman: BANKSETA Council & Conference Session Chair
7 October 2004
09h00 – 09h15 Introduction09h15 – 10h00 Minister Membathisi Mdladlana10h00 – 11h00 Stephen Regan11h00 – 11h30 Refreshments11h30 – 12h15 Lindsay Falkov12h15 – 13h00 Financial Charter Update13h00 – 13h30 Closing13h30 – 14h30 Lunch
TRANSFORMATION, SKILLS DEVELOPMENT AND LEADERSHIP:A Government perspective
Minister Membathisi MdladlanaMinister of Labour
LEADERSHIP AND GOVERNANCE
Stephen ReganLecturer: Cranfield School of ManagementUnited Kingdom
Leadership and GovernanceLeadership and Governance
Innovation from Investment in Human Capital
- A Turning Point for Financial Services
Themes
Crisis in Governance• Excessive focus on shareholder value
• Weak leadership
Transformation• Focus on customer value
• Investment in human beings
Lessons from the UK
Two and possibly three generations of retail banking Governance is about stakeholders
– Customers, Shareholders, Staff, Regulators Type 1
– Pre competition (say pre 1990)
• Regulation by eyebrows
• Winners: employees, regulators,
• Losers: customers, shareholders
Type II banking in the UK
Driven by competition (HSBC etc…), and technology– Contested takeovers– Scale and Consolidation– Promiscuity and churn– Acquisition vs retention models– Poor structures for dealing with this– 40million mail shots
Winners• Shareholders• Customers (a little)
– Losers• Staff
What does a type II bank look like?
The Operating Model of a type II bank
Savings Mortgages Consumer loans
Branch
Call centre
Contact centre
Intermediaries
Moments of TruthService DeliveryCustomer Insight
The problems with type II banks
“Product pipelines” push sales– But consumers cannot be separated into transactions
Channels manage (cut) costs– But there are linkages between the two
• Eg driving service out of the branches• Driving sales in call centres
Type II not– A service proposition– A customer focussed proposition
What would a type III bank look like?
Leadership in Retail Banking
A Model of Leadership
Leadership
Management
Vision
Capability
Vision: Can you see it?
Managers think about doing– Reasoning from solutions back to problems
– The doing drives the thinking
– Task Cultures Much management activity is about persuasion
– Emotional
– Rhetoric
– Highly intuitive
Capability: Can you do it?
Robustness– Broadening your range of behaviours
– Personal growth in this Dialogue
– The ZOUD Maturity
– Discretionary CEO type behaviour
Customer Focussed InnovationCustomer Focussed Innovation
Focussing on the Customer
Who has been here before: loads of people
Industry relaunch Industry Decline
Cinemas 1980s – Megaplex First Leisure, RankFashion retail multiples: Hepworths, High Street Names Next/River Island Chelsea Girl
Grocery Retailers – Tesco* Fine Fare, Co-op, Sainsburys Hotels – Travelodge ThfPub venues – Wetherspoons Brent Walker, . . .
Financial Retailers Big 4 Banks TK Max & Others M&SBudget Airlines Swiss Air, BA, etc
1980s
1990s
2000s
Four Ways to Value Innovate
New ValueProposition
Raise
Eliminate Create
Reduce
Factors no longer requiredSpectrum focusing
Hygiene factorSpectrum lowering
New factors not yet thereSpectrum widening
Well beyond industry standardSpectrum raising
Value Curve of Formule 1 in the French Low Budget Hotel Industry
Eliminate Reduce RaiseHigh
Low
Off
erin
g L
evel
Key Success Factors
2 Star
1 Star
F1
Eat
ing
faci
liti
es
Arc
hite
ctur
alA
esth
etic
s
Lou
nge
App
eal
Roo
m S
ize
24-h
our
Rec
epti
onis
t
Roo
m F
urni
ture
/A
men
itie
s
Bed
qua
lity
Hyg
iene
Sil
ence
Pri
ce*
Value Innovation: The Simultaneous Pursuit of Radically Superior Value and Low Cost
Valueinnovation
Costs
Buyer value
Cost savings from eliminating & reducing
Cost advantagesfrom high volume
Superior value by raising and creating
What factors should be eliminated that our industry takes for granted?
What factors should be reduced well below the industry standard?
What factors should be raided well above the industry standard?
What factors should be created that the industry has never offered?
But you need to continuously do it . . .Repeating Value Innovation
Leverage the Product, Service andDelivery platforms over time
Do this by continuously investing in knowledge – human capital
How has Compaq stayed on top of the Server industry?
By following its first value innovation . . .
Ele
men
ts o
f p
rod
uct
or
serv
ice
Ele
men
ts o
f p
rod
uct
or
serv
ice
Ele
men
ts o
f p
rod
uct
or
serv
ice
Expandability
Generalapplicationcompatibility
File & printcompatibility
Performance
Price
1989:Systempro
1992:ProSignia
Low High Low High Low HighRelative Level Relative Level Relative Level
Expandability
Generalapplicationcompatibility
File & printcompatibility
Performance
Price
Reliability
Configurability
Manageability
1992:ProSignia
Featureinnovations
1993:ProLiant 1000
Expandability
Generalapplicationcompatibility
File & printcompatibility
Performance
Price
Reliability
Configurability
Manageability
Storability
Serviceability
SecurityFeatureinnovations
1994:ProLiant 1000Rack mountable server
1993:ProLiant 1000
Transformation by Investing in People
Labour
Poaching and Under-investment in Training- No excuses
Supply of labour
Demand for labour after learning
Demand for labour before learning
Pay
w2
w1
Q*
Determinants of Business Performance:How Strategy Contributes to the Bottom Line
Assets Liabilities
Debt
Equity
Value Logic:: AGENCY - lower cost capital due to strong financial management
Value Logic: SCALE: Take out cost cross functional working
Value Logic: SCOPE: Add in revenue (eg cross selling)
PVEA
PVGO
Value Logic: LEARNING:Develop new businesses
Existing Big 4(5) Strategies
Cost savings:consolidation + scale – exit definite
Inertia not branding
Ruthless HR Models Retention
RecruitmentRewardType II HR modelFinancial incentives
Global Inequality
Three desiderata (UN)– Development
• Economic and Social
– including Life expectancy
– Peace
– Human Rights Africa does much worse on these measures than
other developing countries
Africa in particular
1820-1998 Africa share of world gdp declined, much of this since 1950
Africa from 1/3 European GDP to 1/13 Of the decline in extreme poverty 1980 –2000 (1.5bn
to 1.1bn <$1per day: none in Africa, all in China)
Participative Growth
Unaimed opulence (the market alone)– Brazil, Oman, South Africa all have much higher gdp
than China or Sri Lanka but do much worse on deprivation measures
Aimed non opulence– Health and education cheap in developing countries
– China’s improvement in life expectency all came before 1979 (no improvement since then)
What do you aim at?
Kerala (India) Life expectancy 70, Indian average 56/58– Kerala has very high levels of literacy and especially
female literacy Sri Lanka:
– Lower infant mortality than the US
– Higher adult literacy than the US Health and education only occurred in Europe as a
result of state intervention and only a century ago
Stylised facts are:
Resource rich, labour poor- capital intensive growth path- relative high cost labour
Small domestic markets & lumpy investments needed- public sector ownership thus normal
Rents - these are available in natural resources (imperfect global markets)- these are politicized (often ‘pleasantly’)
ownedtaxed
The Heart of Darkness
Resource prices downturn- PSBR rises (tax take falls)- tax burden intensifies- concentration of ownership in return- twin deficits, no FDI
Economic nationalism- new nation building- expensive
Colonial legacy
The Heart of Darkness
34Copyright © Resolve 2004
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HUMAN RESOURCES BENCHMARKING IN THE BANKING SECTOR
Lindsay FalkovExecutive Director: Resolve Group
35Copyright © Resolve 2004
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Outline of Presentation
Introduction
Methodology
Benchmarking results
Main conclusions
Introduction
Methodology
Benchmarking results
Main conclusions
36Copyright © Resolve 2004
ResolveGroup
Outline of Presentation
Introduction
Methodology
Benchmarking results
Main conclusions
Introduction
Methodology
Benchmarking results
Main conclusions
37Copyright © Resolve 2004
ResolveGroup
Introduction
The purpose of the exercise was to strengthen data driven HR strategies and business alignment in the banking sector
Quantitative and qualitative data and benchmarking
Data issues:
Certain data were not sufficiently robust to use
General concerns regarding the data
Aggregate data skewed the results and limited analysis
Agreed that a good first round baseline is now in place
Focus Groups:
Encouraged dialogue on people measurement
Focused attention on internal benchmarking & measurement systems, and
Addressed the application of benchmarking results
38Copyright © Resolve 2004
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Outline of Presentation
Introduction
Methodology
Benchmarking results
Main conclusions
Introduction
Methodology
Benchmarking results
Main conclusions
39Copyright © Resolve 2004
ResolveGroup
Saratoga human capital benchmarking measures key human resource management practices
CompareCompare: Set performance standards for human capital management. What have others achieved?
UnderstandUnderstand current HR performance & its impact on organisational performance. What are others doing?
Strategically alignStrategically align HR interventions with organisational objectives
Saratoga human capital benchmarking measures key human resource management practices
CompareCompare: Set performance standards for human capital management. What have others achieved?
UnderstandUnderstand current HR performance & its impact on organisational performance. What are others doing?
Strategically alignStrategically align HR interventions with organisational objectives
Methodology Why Saratoga?
40Copyright © Resolve 2004
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Largest database of HC metrics in the world representing over 20 million employees
Represented across Europe and the United Kingdom, the United States, Brazil, Mexico, Argentina and the Southern African Development Community
Standard methodology applied worldwide, guaranteeing
Validity and integrity of data Comparison of like with like
Private, public and parastatals
Largest database of HC metrics in the world representing over 20 million employees
Represented across Europe and the United Kingdom, the United States, Brazil, Mexico, Argentina and the Southern African Development Community
Standard methodology applied worldwide, guaranteeing
Validity and integrity of data Comparison of like with like
Private, public and parastatals
Globally AppliedGlobally AppliedGlobally AppliedGlobally Applied
Saratoga Institute and Dr Jac Fitz Enz ‘founder of human performance benchmarking and assessment’
Preeminent provider of human capital measurement and research in the world
20 years of longitudinal data collected
Comprises 7 measurement categories:Organisational Effectiveness Remuneration, Compensation & Benefits Recruitment Absence and Retention Training and Development Structure of the HR Function Occupational Health and Safety
Saratoga Institute and Dr Jac Fitz Enz ‘founder of human performance benchmarking and assessment’
Preeminent provider of human capital measurement and research in the world
20 years of longitudinal data collected
Comprises 7 measurement categories:Organisational Effectiveness Remuneration, Compensation & Benefits Recruitment Absence and Retention Training and Development Structure of the HR Function Occupational Health and Safety
Established CredibilityEstablished CredibilityEstablished CredibilityEstablished Credibility
MethodologyWhy Saratoga?
41Copyright © Resolve 2004
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MethodologyWhy a Bank Sector Seta study?
Removed the risk associated with a piecemeal approach
Ensured local & international comparisons
Allowed for more targeted measurement
Facilitated sector-wide analysis of results and implications
Addressed contextual factors such as:Employment equity and scarce skills
Location with Bank Seta assured individual anonymity
42Copyright © Resolve 2004
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MethodologyResearch Focus
Sample consisted of the four largest banks
Sector compared with European & US benchmarks
Individual banks compared with sector & international benchmarks
Benchmarking supported by qualitative research
Group level data collected for the 2003 financial year
Sector reports available to all participants & results presented in consolidated form only
Banks receive own reports
43Copyright © Resolve 2004
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MethodologyReports
Sector Report Human capital scorecards
Comparative analysis of SA & international bank sectors
Diagnosis of gaps & good practice analysis
Individual Bank Reports Human capital scorecards
Comparative analysis of individual bank, SA & international banking sectors
Diagnosis of gaps & good practice analysis
44Copyright © Resolve 2004
ResolveGroup
Methodology
The benchmarking project process
Scorecard Scorecard productioproductio
n & n & verificatioverificatio
nn
Data Data collectiocollectio
nn
Gap Gap analysis analysis
&&ddiagnostiiagnosti
cc
Final Final ReportReport
Continuous Continuous ImprovementImprovement
Agree Agree basket basket
of of measurmeasur
eses
Focus Focus GroupGroup
45Copyright © Resolve 2004
ResolveGroup
Outline of Presentation
Introduction
Methodology
Benchmarking results
Main conclusions
Introduction
Methodology
Benchmarking results
Main conclusions
46Copyright © Resolve 2004
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Main Findings
The SA banking sector’s per capita financial performance was relatively weak, while
The sector’s revenue and profit return on remuneration was comparatively high
The retail cost-to-income ratio was average, while the wholesale ratios were good on average
Average remuneration was comparatively low
Investment in training was comparatively good, though below average in relation to the management and professionals cohort
Incentive pay levels were on a par with peers
There was a strong focus on internal recruitment. One in four employees in the sector were affected, compared with an external recruitment rate of 12%
47Copyright © Resolve 2004
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Main Findings
Resignation rates were low, but for management and professionals they were still double the European rate
Around one in every five employees resigning were in their first year of service, while one in every 2½ had a tenure of between 0 and 3 years
Absenteeism was very low
Time-to-fill and acceptance rate data were not available from SA sector
48Copyright © Resolve 2004
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The Executive ScorecardLeveraging Human Capital Performance
Headline People MeasuresHeadline People Measures
HR DeliverablesHR Deliverables
Income per FTE
Income per FTE
Net operating costs per FTE
Net operating costs per FTE Profit per FTEProfit per FTE
Human Investment
Ratio
Human Investment
Ratio
Wealth Created per
FTE
Wealth Created per
FTE
ProductivityProductivity Value CreationValue Creation HR EfficiencyHR Efficiency
Remuneration / Revenue
True Labour Costs
Remuneration. / Costs
Average Remuneration
Outsource Rate
Training hours per FTE
Performance pay / Rem.
Resignation rate
Recruitment & promotion rates
HR Costs / Total Costs
FTE / HR FTE
HR Professionalism
Acceptance Rate & Time to fill
Absence rate
Demographic Representation
What
you have
What
you want
49Copyright © Resolve 2004
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Benchmarking Results
Executive Scorecard
50Copyright © Resolve 2004
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Benchmarking Results
Executive Scorecard
Headline MeasuresHeadline Measures
51Copyright © Resolve 2004
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Headline Measures
Average Revenue, Cost and Profit
1,293,106
1,680,1101,760,589
1,136,675
1,367,834
1,155,925
139,571
388,139
573,616
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1,600,000
1,800,000
2,000,000
SArevenue
Europerevenue
USrevenue
SA cost Europecost
US cost SA profit Europeprofit
US profit
Av. Revenue per FTE Av. Cost per FTE Av. Profit per FTE
Ran
ds
52Copyright © Resolve 2004
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Headline MeasuresNet Income and Net Operating Costs per FTE
593,447
968,195
404,182
538,920
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
SA income Europe income SA costs Europe costs
Net Income per FTE Net operating cost/FTE
RA
ND
S
53Copyright © Resolve 2004
ResolveGroup
Headline MeasuresAverage Cost-to-Income Ratios
67%
58% 59%
67%
87%
46%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
SA Retail UK Chile US Brazil Best inWholesale
Cost-to-Income Ratio
54Copyright © Resolve 2004
ResolveGroup
Headline MeasuresHuman Investment Ratio
2.19
2.86
2.42
2.622.46
3.17
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
Mean 75th
SA Europe USRevenue – non-wage costsFTEs X average rem.
55Copyright © Resolve 2004
ResolveGroup
Benchmarking Results
Executive Scorecard
ProductivityProductivity Measures Measures
56Copyright © Resolve 2004
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Productivity MeasuresAverage Remuneration by broad occupational
category
134,598
285,973
76,708
287,424
414,241
146,045
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
All employees Mgmt & Prof Non-Mgmt
Ran
ds
SA Europe
47%
70%
53%
57Copyright © Resolve 2004
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Productivity Measures Remuneration to Revenue & Cost Ratios
10.8%
20.5%
24.2%
12.5%
18%
29.8%
36.7%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
40.0%
SA Europe US SA SA TP Europe US
Rem/Revenue Rem/Costs
% o
f Rev
enu
e an
d C
ost
Rem + outsource costs total costs
58Copyright © Resolve 2004
ResolveGroup
Benchmarking Results
Executive Scorecard
Value Creation Measures
59Copyright © Resolve 2004
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33
38
24
36
24
2829
32
0
5
10
15
20
25
30
35
40
All employees 75th All Mgmt & Prof Non-Mgmt
SA Europe
Value Creation MeasuresTraining Hours per FTE
60Copyright © Resolve 2004
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Value Creation Measures Performance Pay to Compensation Ratio
13% 13%
25%
0%
5%
10%
15%
20%
25%
30%
Mean 90th
Performance pay as % compensation
SA Europe
61Copyright © Resolve 2004
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Value Creation Measures Resignation rates
10.9%
8.8%
11.7%11.7%
3.8%
20.3%
17.8%
9.90%
21.90%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
All employees Mgmt & Prof Non-Mgmt
SA Europe US
62Copyright © Resolve 2004
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Value Creation Measures Resignations by length of service
0%
5%
10%
15%
20%
25%
30%
35%
40%
0 - 1 years 1 - 3 years 3 - 5 years 5 - 10 years 10+ years
SA Europe US
63Copyright © Resolve 2004
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Value Creation Measures
Absence rate: The SA sector average rate was 1% compared with 3.6% in the European
sector
Time-to-Fill: The European and US mean scores were 40 and 32 The European and US 25th percentile scores were 22 and 25
Acceptance rate: The average acceptance rate the European sector was 92%
Cost per hire: SA average was R4,782, European average was 13,432 and the US
average was R11,516
64Copyright © Resolve 2004
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Benchmarking Results
Executive Scorecard
HR Efficiency Measures
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HR Efficiency
The SA Banking sector: had an HR professional complement of 51%, which is just below the
European average of 54%,
had a slightly lower average HR remuneration of R251,518 that is 88% of the European average but less than two thirds of the US rate,
had a higher average HR capacity of 75 FTEs per HR FTE compared to 84 in the US and 118 in Europe, but the SA sector tends to outsource more of its HR than European banks
had marginally lower HR costs than its peers in Europe and US, HR costs as a proportion of total costs equal to 0.5% compared with 0.5% and 0.75%, and HR costs per FTE of R7,360 compared with R8,676 and R7,734.
66Copyright © Resolve 2004
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Benchmarking Results
Management & professional Scorecard
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High-end skills performance
Management and professionals in the SA sector constituted ¼ of all employees compared with over 40% in Europe & the US
The average wage for this cohort was 70% of their European & US peers
They received 3 days training per FTE compared with 3.6 days in Europe
70% of the cohort had access to at least one training intervention in 2003,
There was a strong focus on internal recruitment, 23% of headcount, compared with an external recruitment rate of 10%
There was a net outflow of this cohort of 1% compared with a 5% increase in Europe
There is a healthy spread of youth & maturity in the tenure of executives in the sector – 29% between 0 and 3 years and 71% above 3 years
Absenteeism amongst this cohort was 1%
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Management & professional resignations
8.8%
3.8%
9.9%
0.0%
2.0%
4.0%
6.0%
8.0%
10.0%
12.0%
SA Europe US
SA Europe US
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Management & professional resignations by length of service
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
0-1 years 1-3 years 3-5 years 5-10 years 10+ years
SA Europe US
1 in 3
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Benchmarking Results
Training & Development Scorecard
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Training and development performance
SA sector’s training was on average more efficient than Europe but less so than the US, i.e. less spend for more output at less cost & with a lower capacity:
SA sector’s training spend of 2.8% purchased 4 days training per FTE & covered 73% of the workforce at a cost of R2,864 per FTE, with a training capacity of 252 FTEs per training function FTE
The European sector’s training spend of 2.6% purchased 3 days training per FTE & covered 67% of the workforce at a cost of R5,864 per FTE, with a training capacity of 306 FTEs per training function FTE
The US sector’s training spend of 1.9% purchased 5 days training per FTE at an average cost of R3,771 per FTE, with a training capacity of 247 FTEs per training function FTE
72Copyright © Resolve 2004
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Training and Development ScorecardAverage training hours per FTE by broad
occupational category
33
24
36
24
2932
41
0
5
10
15
20
25
30
35
40
45
All employees Mgmt & Prof Non-mgmt
SA Europe US
73Copyright © Resolve 2004
ResolveGroup
Benchmarking Results
Equity Scorecard
74Copyright © Resolve 2004
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Employment Equity Performance
The banking sector’s workforce was 50% Black, one fifth African, and two thirds Female
According to the Saratoga benchmarking data the sector’s profile improved during 2003
The resignation rates for Black employees were just below the average for all employees, while the White employee rate was above average
One in four African and Indian employees resigning had a tenure of less than one year and 1 in 2 had a tenure of between 0 and three years
Training for African employees in 2003 was marginally below that of other groups in the sector
The average remuneration of African and Coloured employees was 50% and of Indian employees 68%, of the average White cohort wage. The Female cohort wage rate was 56% of the Male wage.
75Copyright © Resolve 2004
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Equity ScorecardCohort Stability: Cohort Recruitment and
Terminations
16%14%
16%
10%
14%13%
11%
14%
0%
2%
4%
6%
8%
10%
12%
14%
16%
18%
African Coloured Indian White
External recruitment Total terminations
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ResolveGroup
Equity ScorecardCohort Flows
Proportional Effects Cohort Effects
Recruitment Terminations
African = 28% African = 21% +2.0%
Coloured = 20% Coloured = 16% +1.0%
Indian = 15% Indian = 11% +4.5%
White = 36%
SA
Banking
Sector
White = 51% -4.0%
100% 100%
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Equity ScorecardCohort Resignation Rates
10.9
10.3
10.6
9.7
11.5
8.5
9
9.5
10
10.5
11
11.5
12
All employees African Coloured Indian White
78Copyright © Resolve 2004
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Equity ScorecardCohort Resignations by length of service
0
5
10
15
20
25
30
African Coloured Indian White all employees
0-1 years 1-3 years 3-5 years 5-10 years 10+ years
1 in 2
1 in 2
79Copyright © Resolve 2004
ResolveGroup
Equity ScorecardTraining hours and Learning coverage by race
32.3
34.0
35.0
34.2
74.3%
73.5%
70.0%
72.8%
30.5
31.0
31.5
32.0
32.5
33.0
33.5
34.0
34.5
35.0
35.5
African Coloured Indian White
67.0%
68.0%
69.0%
70.0%
71.0%
72.0%
73.0%
74.0%
75.0%
Training Hours Learning Coverage
80Copyright © Resolve 2004
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Equity ScorecardAverage remuneration by Race and Gender
R 85,768
R 86,700
R 117,339
R 173,004
R 187,303
R 105,000
R 0 R 20,000 R 40,000 R 60,000 R 80,000 R100,000
R120,000
R140,000
R160,000
R180,000
R200,000
African
Coloured
Indian
White
Male
Female
50%
68%
56%
81Copyright © Resolve 2004
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Agenda
Introduction
Methodology
Benchmarking results
Main conclusions
Introduction
Methodology
Benchmarking results
Main conclusions
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Main Conclusions
The results are largely related to retail banking
Grow revenue per capita and focus on higher margin activities
Increasing revenue is needed to sustain good revenue and profit return on remuneration
Continue good cost management, but reduce unit costs by raising the efficiencies of of IT platforms and core processes
There is still room for improving the resignation rate of the management and professional cohort
The tenure of resignations, especially amongst Black employees needs attention
The focus on internal recruitment should continue
Time to fill and acceptance rate data needs to be collected
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Main Conclusions
Training investment, outputs and efficiencies compare well with peers in Europe and the US, though there is a need to increase training for African employees in the sector
Race and gender remuneration disparities will need to be addressed through progression and external recruitment strategies into higher occupational brackets
The flow of employees in and out the sector, by levels / occupational categories, needs to monitored for equity and FSC purposes
The sector’s HR functions require regular review to be sure they have the capacity and skill-sets to respond to ever increasing and new demands
Interestingly, the SA sector appears to outsource more of its HR service than its European peers
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Lessons
Adequate time is needed for data collection and verification
Focus Groups to verify and engage data essential
Setting the baseline was difficult compared with future exercises, which will also compare and contrast external and internal longitudinal benchmark data
Future rounds must disaggregate – retail and wholesale and micro-lending sectors
Important missing data must be added next round
Workplace skills plan data, equity data and Saratoga data must be aligned to respond to the employment equity, skills development and human resources elements of the Financial Services Charter
FINANANCIAL CHARTER UPDATE: Work in progress
FACILITATOR:Given MkhariTalk Show Host: Metro FM
FINANANCIAL CHARTER UPDATE: Work in progress
Kennedy BunganePresident: ABSIP
FINANANCIAL CHARTER UPDATE: Work in progress
Frank GroenewaldChief Executive Officer: BANKSETA
FINANANCIAL CHARTER UPDATE: Work in progress
Bob TuckerChief Executive Officer: Banking Council
CLOSING SESSION
Frank GroenewaldChief Executive Officer: BANKSETA
BANKSETA BANKSETA
Conference Evaluation and Conference Evaluation and the Way Forwardthe Way Forward
Frank Groenewald CEOBANKSETA 7/8 October 2004
BANKSETA Mission
“To support and give effect to legislation by establishing an education, training and development framework to
enable stakeholders to advance the national and global position of the
banking sector.”
The Future
Operational• SETA Operational Landscape ( Mergers)• Structural Efficiency
Strategic• Transformation • Finance Sector Charter• SMME Development• Youth development• Consumer Education (Broad interpretation)• National Skills Development Strategy
Recognition
• Project Steering Committee
• Project Manager
• Global Conferences Ikapa
• Kagiso Communications
• BANKSETA Stakeholders
• BANKSETA Staff
THANK YOUTHANK YOU