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Paul Laughlin

Founder and Managing Director
Laughlin Consultancy

Paul is the founder of Laughlin Consultancy, a business that enables companies to maximize the value of their customer insight. This includes growing their bottom line, improving customer retention and evidencing to regulators they treat customers fairly. Services that are achieving this value-add include training & consultancy. He also provides executive coaching, to ensure leaders can sustain such performance themselves. The most popular training course this year, “Consultancy Skills for Customer Insight Analysts” has received rave reviews from analysts, leaders & marketers. Former Head of Customer Insights for both Lloyds Banking Group Insurance and Scottish Widows, Paul has over 13 years’ experience of creating & improving customer insight teams. Plus 25 years’ experience of deriving value from data. His teams added over £10m incremental profit per annum, through improvements to customer acquisition & experience.

Check out the incredible speaker line-up to see who will be joining Paul.

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Day 2 - Setting Your Division Up For Future Success

Wednesday, January 4th, 2017

08:50 Chairperson’s Opening Remarks

09:00 Interview: How can CDOs exploit the influence they have in transforming analytics in a company and what are the skill sets required from them to succeed in today's demanding data-driven world?

How has this addition to the C-suite helped to integrate data analytics into corporate DNA?
The data champion: How to enforce companywide adoption of data to drive the best business results
How is the CDO role working to ensure data remains a C-suite issue for successful business execution in the long term??
CDO full requirement set: What is the full scope of the role and remit of responsibilities when it comes to facilitating end-to-end data processes at an enterprise wide level?

09:20 Oxford Style Debate: Establishing an optimum operating model-Should data analytics teams be centralised or decentralised in an organisation to reap their full potential?

Should data analytics be centralised or decentralised to reap optimum business benefits?
Does the output of independent centralised data functions differ from those that sit within the business?
Lowering corporate restrictions: Does a centralised data function really have less corporate restrictions or do they face the same level of push back?
Will having your data function at the top of the company hierarchy put you in a better place to create a holistic overview of business needs, or will you still face the same silo mentality challenges?

10:10 Panel: Data as a service model-Which companies will succeed in packaging data-streams as a service to create a new business model?

Turning data on its head: Examining the possibilities of using company data to generate additional revenue streams
Data Monetisation: How to turn your data into its own business with multiple product packages
How to build a winning business model that encourages company data adoption rates
How will the introduction of new privacy requirements impact your data governance practices?
What are the practical measures you must employ when packaging your data-streams as a service to remain compliant?

15:35 Crystal Ball Outlook Panel: A glimpse into the future -What are the trends we should expect to see in the big data ecosystem that will transform the data insights function of 2025?

Operating in a data-driven world: Where are the likely next sources of big data?
Which new technologies are most likely to shake up the competitive dynamics in the big data ecosystem?
How will new technological advancements shape your big data architecture?
What skillsets will replace the current high in demand data science talent shortage?
How will new entrants born in the digital era disrupt current competitive pressures in particular verticals?

Data insight Leaders Summit 2016 (past event)