conference session 3

Big Picture Mutuality Chaired by Alan Goddard, Cornish Mutual • Daniel Tischer, Centre for Mutual and Employee-Owned B...

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Big Picture Mutuality

Chaired by Alan Goddard, Cornish Mutual

• Daniel Tischer, Centre for Mutual and Employee-Owned Business, Oxford

• Steve Barry, ICMIF • Roy Jubraj, Accenture

Reframing Building Societies and Mutual Insurers: Collaboration as a source of competitive advantage Dr. Ruth Yeoman, Kellogg College, University of Oxford Dr. Daniel Tischer, Manchester Business School

Outline § Contextualising the research § Collaboration in the UK: A scenario § Features of collaboration § Further actions

Contextualising the research § Sector was/is under pressure § Changing landscape § Demutualisation

§ The “mutual revival” § Post-crisis rhetoric and support § Political support?

§ Some positive developments (growth related) § But is it a revival? (continuing decline of # of mutuals in UK)

What would a mutual revival entail? § Become more “competitive” § Benefits of being a mutual + “x”

§ Restore historic market share § 40/50% market share § Possibility of new entrants § Innovative products/solutions;

§ Consideration of different scenarios: § Independence / consolidation § Partnership § Collaboration

Collaboration in the UK: A scenario § Collaboration in FM UK is limited § Largely independent action or some partnerships

§ Our scenario goes beyond § Requires collective action; sharing of knowledge § Coordination or activities and sharing of costs/benefits § Centralisation of services

§ Collaborating is doable § Transformation of Finnish Coop sector in the mid-90’s

Features of collaboration 1. Agreement on the degree of, areas and scope for collaboration - building an institutional fabric § § § §

Shared need in the long-term Values shared by mutuals and stakeholders Ability to co-create operating models, capabilities and governance Outcomes and value to be specified

2. Mutual values at organisational and sector level § Modes of interaction between firms § (mutual) trust and leadership beyond the boundaries of the firm

3. Overcoming resistance from members / boards

Can collaboration work? § Yes, it can: § Co-operative Systems in D, NL, CA & FI § High levels of integration; centralisation of power

§ French mutual insurance groups (SGAM) - Covea § Eurapco & Euresa as cross-boarder models § Australia’s CUSCAL

§ UK § Mutual Vision back office integration § 3rd party service providers, e.g. Cornerstone Mutual § Cooperation between building societies and mutual insurers

Cross-selling between building societies

& mainstream insurers

& mutual insurers

Questions that need discussing 1. What does it mean to be a mutual (at firm/sector level)? § Are firms isolated from each others faith?

2. Who should participate? § Convince opponents or go ahead with supporters only?

3. Who should coordinate voices and activities? § Leadership to drive the process

4. How can you work more closely with other mutual organisations? § Equity release plans; targeted insurance products?

Supporting the Leadership agenda

The storm we have weathered

The nervous ‘confidence’

‘Human Capital’ takes its toll

18% Employees - Actively Disengaged

Source: Gallup (2014) - Global Engagement Survey, 5,000 employers surveyed

The silent majority

49% Employees - Disengaged ‘lack motivation’

18% Employees - Actively Disengaged

Source: Gallup (2014) - Global Engagement Survey, 5,000 employers surveyed

Harnessing the energy 33% Employees - Actively Engaged

49% Employees - Disengaged ‘lack motivation’

18% Employees - Actively Disengaged

Source: Gallup (2014) - Global Engagement Survey, 5,000 employers surveyed

Benefits of engagement 125 100 75 50 25 0 Productivity Engaged

Quality of Output Disengaged

An illustration of engagement Description

#

Number of people employed

1000

Disengaged Staff

67%

670

Impact of Engaging ‘Disengaged’ 18% improved productivity

670 x 1.18

791

Effective increase in people employed

791-670

121

Typical Annual Salary (Source: Bureau of Labor)

121

$56,000

$6,776,000

Typical recruitment cost % against annual salary

15%

(15% x $56K)x121

$1,016,400

Total saving to your business

Value

Impact

$7,792,400

Listening to our members

The Leadership Agenda is on our radar and a key priority of our CEOs and members

Responding to their needs

ICMIF's leadership development offering is good, but we’re only touching the surface against the potential

Positioning Leadership+ to our members A complementary suite of development materials that underpin and support our members existing programmes

Member needs

Skills

Technical

Reinsurance

Supervisory

Mutuality

ICMIF support

Leadership

Networking

Reviewing our member services

Re-defined programme, tailored to meet senior executive needs, improved networking opportunity

Advanced Management Course

Creating new opportunities

New course successfully piloted, March Next course scheduled in November 2015

Advanced Management Course Advanced Potential Course

Creating new opportunities Taking our resources to our members Argentina 2015 Strategic Decision Making Advanced Management Course Advanced Potential Course

Creating new opportunities Developing UK based events for our members’ senior teams, November 2015

Senior Executive Retreats Strategic Decision Making Advanced Management Course Advanced Potential Course

Leadership+ Products & services International Secondment Programme Senior Executive Retreats Strategic Decision Making Advanced Management Course Advanced Potential Course Designed for your whole organisation

Bringing Leadership+ to our members

Broadening our reach, 2016+

Advanced Management Course

Insert video trailer

Leadership+ Developing Leaders, Harnessing Networks

TECHNOLOGY AND INSURANCE – A NATURAL MARRIAGE 12 OCTOBER 2015

General Insurance Trends Innovative insurers must balance digitalisation, customer centricity and legacy modernisation to compete effectively in an evolving market. Accenture Research have identified the following key trends for P&C insurers over the medium term… Internet of Me

A personalised world

Outcome Economy

Traditional business models are under threat. Outcomes over Products

The Platform (R)evolution

Digital platforms are becoming the tools of choice

The Intelligent and Changing Enterprise

Huge data, smarter systems - better business

Future Products and Pricing

Consumption and composite propositions

Distribution in a Mobile World

A dynamic, accessible and continuous consumer interaction model

Workforce Reimagined

Collaboration at the intersection of humans and machines

“Insurance is inherently about managing risk, and the key to surviving these challenges is flexibility and insight” Global Insurance CEO

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35

Customers are empowered

Engagement is on their terms

Platforms and devices change the playing field

There is a new face of competition

New Profit Pools

The changing realities we can’t escape…

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36

Digital Has Disrupted Customers In the last decade, consumer dynamics across sectors have deeply changed.

Compared to 10 years ago…

44% / 68% Informed and self-directed

•Wants access to relevant content in real time

48%

Social •Relies on “wisdom of crowds” (social media, blogs, …)

Copyright © 2015 Accenture All Rights Reserved. Proprietary and Confidential

Today…

52%

64%

Online

Price-sensitive

• Prefers to buy insurance online

•Wants to be in control

72%

78%

• Wants to interact with insurers in his digital environment

• Will provide personal information in exchange for better, more personalised insurance cover

Connected

Willing to share

37

…and transformed the industry

Aggregator

Telematics

Usagebased insurance

Connected Home

Life Style Insurance

The industry is being transformed by disruptive new technologies

Big data & Analytics

Connected people & devices Mobility

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Remote sensors

Automated advice Seamless omnichannel experience

Social media

38

Different Customer, Different Intensity, Different Speed… Every Customer is a Digital Customer Need to pivot to the multispeed customer organisation for all customer types.

Traditional

Experimental

Transitional

Digital Savvy

They rely on traditional channels & interactions. Even then, they leave digital traces.

They selectively engage in digital for utility value, discovering how the experience improves.

They strive to leverage digital more broadly but may not always be able to do so.

They make digital technology part of all dimensions in their life. Mobile access is key.

Increased Speed Higher Digital Customer Intensity

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39

Yet Customers are being let down Findings in the review revealed that insurers are failing to engage consumers on digital channels, with just 20% responding to questions asked on Twitter and via email, and only 30% answering questions satisfactorily.

Sector failing on customer experience (June 2015) Report says insurance firms’ customer relationships are “bland and undistinguished”. The insurance sector has been criticised for offering its clients a "bland and undistinguished" customer experience. The review warned that companies in the insurance sector are failing to use customer experience to differentiate themselves and forcing customers to make decisions solely on price - a situation exacerbated by the aggregator sites. Review, by MyCustomer.com, a customer relationship management expert

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40

Eight Trends Highlight Providers’ Struggle to Keep Pace Globally, problems of the past and digital challenges of today are key hurdles. 1

Missing out on customer growth

2

Push customers to the exit

First contact resolution is consistently the top frustration over past 5 years

3

Under-exploiting own channels

Impact of company websites decreased versus other channels.

4

Sub-optimising digital service

Low digital adoption due to lack of right information (30%) or spam risk (22%)

5

Service still falling short

6

“Dis-Loyalty” Programs

7

Not winning back defectors

8

Unprepared to face disruptors

Intent to buy less from current companies grew (+40%) in same period.

Switching due to poor service is flat or slight decreasing very slowly For 60%, key driver is access to best deals focused on ‘short-term’ loyalty Many companies miss this opportunity, as switch back drivers are not compelling. Many established providers are slow to adapt to new business models

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The Digital Consumer – What does this mean for you?

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Analytics & Insights Snapshot

Data / Insights – Proactive vs. Re-active Customer Analytics Claim Analytics

Harnessing analytics to drive growth & profit Leading organisations not only use data historically to evaluate best actions but also employ advanced analytics methods to predict and optimise future business outcomes to gain competitive advantage

Predictive Insight to Outcome

Business Intelligence

Managing Information

Analytical Maturity

AnalyticsEnabled Decision Making

Optimisation

“What’s the best that can happen?”

Predictive Modelling

“What will happen next?”

Forecasting / Extrapolation

“What if these trends continue?”

Proactive (looking forwards at what will happen)

§

Optimised Decisioning

§

Big Data Exploitation

§

Predictive Modelling

§

Forecasting & Next Best Action

§

Behavioural Analysis

Statistical Analysis

“Why is this happening?”

§

Advanced Data Segmentation

Alerts

“What actions are needed?”

§

Data Visualisation

Query / Drill Down

“What exactly is the problem?”

§

Dashboards

§

Data Warehousing

Ad hoc reports

“How many, how often, where?”

§

Operational Reporting

§

Ad-hoc Query

§

Data Management

Standard Reports “What happened?”

Reactive

(looking back at what has happened)

Business Value Copyright © 2015 Accenture All rights reserved.

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The Analytics Leap-frog Our point of view Analytics early adopters have an opportunity to get ahead and stay ahead by focusing and investing in the right areas, and emulating analytics leaders, not their industry competitors

To… Cross-industry leader Analytics Embedded in Every Decision Customer-centric models

Leaping the capability the industry is pursuing

Real-time digital channel connectivity Data ‘Built for Analytics’

Big Data Lakes

Continuous Test & Learn Always on

Current state - primarily…

Uplift Modelling

Product-centric models across functional areas

Personalised Next Best Action

Voice Analytics

Batch execution of manually built models

Claims Forecasting

Actuarial GLM Regressions

Aggregator Quote Modelling

Data ‘Built for BI’

Real-time Rules

From…

Copyright © 2015 Accenture All rights reserved.

Copyright © 2015 Accenture All Rights Reserved. Proprietary and Confidential

Industrialised Machine Learning

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Embedding Analytics Into The Insurance Lifecycle Our experience and credentials enable analytics to add value to every decision along the insurance lifecycle

Market better

Stimulus

Price / quote better

Manage claims better

Zero Moment of Truth

First Moment of Truth

Predict Claim Events

Manage Third Parties

Targeting models

Price and Purchase

Predictive Analytics through the Claims Lifecycle

Know Your Supplier / Opponent

Brand and direct marketing

Apply data to controlled Develop a unique data Identify customers during marketing experiments to insight to build separate the sales process in real understand and attribute quote and conversion uplift time, and respond with marketing activity and models – combining the right, tailored offer understand the impact and customer insight with Understand what enriched interaction with the brand underwriting knowledge to data tells you about the improve marketing insurance risk beyond efficiency and grow the standard 10 u/w sales questions

Apply data to power claims Understand your management processes customers and their with automated predictive preferences better to decisions to reduce manage third parties claims costs by up to 5% during claims to improve and manage fraud customer outcomes and proactively maximise value

Build profit

Customer Experience Single Customer View Embed partner data and predictive / prescriptive decision models to improve cross sales, retention and improve customer experience

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Copyright © 2015 Accenture All Rights Reserved. Proprietary and Confidential

Accenture Customer Analytical Record Accenture’s Customer Analytical Record (CAR) is a virtual single view of the customer combining multiple disparate data sources and made available for rapid predictive modelling and real-time predictive / prescriptive applications CAR made available to: Historical Model Build Enable analysts to recreate single views of the customer at any historical point to enable rapid predictive / prescriptive model builds

Applications / Products

Web / mobile logs

Accounts

Transactions / Events

Real-time Decision Management The Customer Record is made available in real-time across all channels for customer-level decisions at every customer touch-point

Customer Journey ETL

Real-time Prescriptive / Predictive Analytics Prescriptive analytics / machine learning running at