7 RESILIENCE LEVERS
Business Model &
Workforce Transformation
Efficiency and effectiveness:
Driving change across the business cycle
7 RESILIENCE LEVERS
Operational &
Financial Resilience
Creative destruction:
Building resilience from the balance sheet up
7 RESILIENCE LEVERS
Digital Trust
& Ecosystems
A new world of threats:
Managing cybersecurity risk in changing times
7 RESILIENCE LEVERS
Escalation Planning
& Response
The Anatomy of a Crisis:
The right approach to crisis preparedness is a holistic one
7 RESILIENCE LEVERS
Remediation &
Dispute Resolution
Investigations and disputes in a post-COVID world:
When will the storm hit?
7 RESILIENCE LEVERS
Government &
Stakeholder Relations
Strength in leadership:
The new rules of stakeholder engagement
7 RESILIENCE LEVERS
Economic Impact
& Sustainability
Resilience and Sustainability:
Two sides of the same coin?
7 RESILIENCE LEVERS
Real-Time Data
Analytics
Data is the lifeblood of resilient businesses

Enterprise agility is the key to navigating disruption and building resilience, and it depends on the organisation’s ability to use data.

More than

1 in 5

business leaders surveyed had lost customer information through cybersecurity incidents

Companies receive

5x

the media attention in the month following a cyber breach, and

the social media coverage

Today’s most resilient organisations have mastered the proactive use of data science to identify future risks, manage reputation and empower the workforce to perform better. They invest in data competency and embed AI into core processes across major functions to inform decision-making and shape customer experience.

Other organisations are striving to catch up. For example, according to the recent Resilience Barometer, 97% of business leaders are under pressure to integrate innovative technology into their business model; data use is certainly one of the objectives. About 67% of leaders are involved in data and security at their firms – more than get involved in marketing (62%) or finance (61%).

LEARNING TO PUT DATA TO WORK EFFECTIVELY AND SAFELY

In spite of this level of attention, more needs to be done. Worryingly, more than 1 in 4 companies have lost customer data as a result of cyber attacks in the past year – a sign that all is not well even at the most basic level.
Businesses now need to build on the experience of the pioneers who have already brought real-time data analytics into the core of their day-to-day operations.

Use all relevant data sources. Looking beyond traditional financial data can transform a business’s understanding of its competitive environment and reputation. For example, clickstream data sheds light on the customer journey, and on barriers to completing a purchase. Social media conversations reveal customer and public perceptions, as well as evolving market needs and societal trends. Open Source websites provide a window to regulatory thinking and research. Employee chat exchanges can be monitored to help the business guard against misconduct.

Convert data into information. Data analytics can convert raw data into signals that alert the business to new behaviours or patterns, identify risks such as unprotected personal data, and highlight problems and opportunities. With the help of AI, these signals can describe the past, predict likely outcomes, and prescribe appropriate courses of action.

Democratise data access. Maximising agility depends on pervasive use of real-time data to drive decision-making. This in turn requires actionable data to be available to front-line workers and support functions, not just to users of executive dashboards.

Introduce effective governance. Data breaches and misuse cause untold reputational damage. Information governance is the way to manage such risks. Personal or high-value data can be protected and secured, with measures like data tagging enabling safe data exploitation. Data that no longer has value to the business can be identified and removed.

0%
of executives had experienced mental health problems as a result of dealing with crises
0%
of investors think companies can manage crises effectively
0%
of respondents had invested in crisis management in 2019
COMPETE
The post-pandemic world will present opportunities as well as threats. Businesses whose decisions are based on accurate, timely data will be able to capitalise on these opportunities and fight off competition, including from new entrants whose businesses will be based on analytics from day one.
ADAPT
Real-time analytics can help businesses stay relevant in an unstable, unpredictable world, adapting proactively to change and navigating its consequences flexibly. “Digital first” strategies will be key to cost control as well as adaptability; these too rely on a foundation of real-time analytics.
PROTECT
To mitigate risk, a comprehensive view of the business and its environment is required. This view is achieved initially by mapping all the corporate and external data needed and implementing mechanisms to access and analyse it securely. AI can help to evolve the view over time and enable decision-making.

Perspectives

A new era of data analytics for investigations and litigation

READ MORE

E-discovery in 2020: COVID-19’s Impact on Our Data Footprint

READ MORE

How Will Data Fare in the Global Fight Against the Pandemic?

READ MORE
J. Nicholas Hourigan
Head of Data & Analytics, EMEA
Alwin Magimay
Chief Digital Officer, EMEA
Charles Palmer
Head of TMT Communications
Richard Palmer
Senior Managing Director, Technology

EXPERTS WITH IMPACT

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