TEV / LTM EBITDA: 10.8x
HR Staffing & Professional Services: Indexed Stock Performance
| Consensus Estimate | Actual Results | % Difference | |||
---|---|---|---|---|---|---|
HR Staffing & Professional Services Co. | EPS | Revenue | EPS | Revenue | EPS | Revenue |
Manpower Group | $1.34 | $4,722 | $1.38 | $4,676 | 2.9% | (0.9%) |
Robert Half | $0.82 | $1,544 | $0.90 | $1,564 | 9.8% | 1.3% |
Kelly Services | $0.26 | $1,172 | $0.30 | $1,118 | 15.4% | (4.6)% |
ASGN | $1.56 | $1,113 | $1.03 | $1,117 | (34.0%) | 0.4% |
AMN Healthcare | $1.63 | $851 | $1.97 | $853 | 20.9% | 0.3% |
Korn Ferry* | $0.95 | $687 | $0.97 | $704 | 2.1% | 2.4% |
TrueBlue | $0.24 | $489 | $0.16 | $473 | (33.3%) | (3.2%) |
Kforce | $0.75 | $363 | $0.90 | $373 | 20.0% | 2.9% |
Resources Connection* | $0.11 | $162 | $0.14 | $163 | 27.3% | 0.8% |
We hope you find this information valuable, and as always, feel free to reach out if you would like to discuss in further detail. To read the full report, download the PDF below.
1. Normalized EPS that excludes the effects of exceptional items to standardize the metric across the peer group
2. Select HR Staffing & Professional Services companies include those defined in the table above
*: Resources Connection and Korn Ferry reported Q2 2024 Earnings
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Kpmg global study confirms trusting ai remains a major employee confidence gap.
Does Mankind Trust AI? Not Yet this research validates.
Artificial intelligence (AI) is increasingly used to invent new products and services, enhance productivity, improve decision making and reduce costs, including automating administrative tasks and improving cyber security.
However, integrating AI into the everyday workplace still creates challenges, especially without a clear policy and communication process to ensure employees trust the technology methods, approaches, and societal reasons for deploying the new practices and solutions.
AI poses unique challenges in employee minds, including the big question – Can they trust the technology?
Considerations in strategic change management, and internal/ external policy alignments are important in terms of how employees will view the risks and benefits of AI. It is critical that leadership communicates what is expected for AI to be trusted and puts in place clear quality and risk management practices to increase employee trust.
Shedding light on these important questions, KPMG and The University of Queensland recently released a global study of over 17,000 people in 17 countries (including: Australia, Brazil, Canada, China, Estonia, Finland, France, Germany, India, Israel, Japan, the Netherlands, Singapore, South Africa, South Korea, the United Kingdom, and the United States of America). These countries are leaders in AI activity and readiness within each global region. Unfortunately this report left out AI innovators like Vietnam that are making major advancements, especially with companies like FPT Software in Vietnam investing in major AI enablements.
The survey asked respondents about trust and attitudes towards AI systems in general, as well as AI use in the context of four domains where AI is rapidly being deployed and likely to impact many people: in healthcare, public safety and security, human resources, and consumer recommender applications.
Best covid-19 travel insurance plans.
The major finding is that over 50% of the sample population confirmed they did not trust AI at work.
Hence only one in two employees are willing to trust AI at work. Employee attitudes depends on their role, what country they live in, and what the AI is used for. However, people across the globe are nearly unanimous in their expectations of what needs to be in place for AI to be trusted which is a very positive sign, especially for aligning international standards.
Insights were provided in key areas, including: who is trusted to develop, use, and govern AI, the perceived benefits and risks of AI use, community expectations of the development, regulation, and governance of AI, and how organizations can support trust in their AI use.
The major research also provided many insights on how people feel about the use of AI at work, public understanding and awareness of AI, the key drivers of trust in AI systems, and how trust and attitudes to AI have changed over time.
The value of this research report insights is that it helps validate the importance of establishing clear AI strategy, operational practices, policy formulation, and international standards etc.
The research confirmed there was less confidence in AI in western countries versus in Brazil, India, China, South Africa. Not a surprise the research found hat the younger generations and those who are university educated and in senior management roles are more confident in the value / embracing Ai and are more supportive of experimentation and recognizing the economic implications of not pursuing AI but underscore the importance of applying AI in responsible and ethical ways.
Some of the key findings are summarized below.
To what extent do people trust AI systems?
Three out of five people (61%) are either ambivalent or unwilling to trust AI. However, trust and acceptance depend on the AI application. For example, AI use in healthcare is more trusted than AI use for Human Resource purposes. People tend to have faith in the capability and helpfulness of AI systems, but are more sceptical of their safety, security, and fairness. Many people feel ambivalent about the use of AI, reporting optimism and excitement, coupled with fear and worry.
How do people perceive the benefits and risks of AI?
Most people (85%) believe AI will deliver a range of benefits, but only half believe the benefits of AI outweigh the risks. Three out of four people (73%) are concerned about the risks associated with AI, with cyber security rated as the top risk globally. Other risks of concern to the majority include: loss of privacy, manipulation and harmful use, job loss and deskilling (especially in India and South Africa), system failure (particularly in Japan), erosion of human rights, inaccurate outcomes and bias.
Who is trusted to develop, use, and govern AI?
People have the most confidence in their national universities, research institutions and defence organizations to develop, use and govern AI in the best interests of the public (76-82%). People have the least confidence in governments and commercial organizations, with a third reporting low or no confidence in these entities to develop, use or govern AI. This is problematic given the increasing use of AI by government and business.
What do people expect of AI management, governance, and regulation?
There is strong global endorsement for the principles of trustworthy AI originally: 97% of people globally view these principles and the practices that underpin them as important for trust. These principles and practices provide a blueprint to organizations on what is required to secure trust in their use of AI. Most people (71%) believe AI regulation is necessary, with a majority believing this to be the case in all countries except India. People expect some form of external, independent oversight, yet only 39% believe current governance, regulations and laws are sufficient to protect people and make AI use safe.
How do people feel about AI at work?
Most people (55%) are comfortable with the use of AI at work to augment and automate tasks and inform managerial decision-making, as long as it is not used for human resource and people management purposes. People actually prefer AI involvement to sole human decision-making, but they want humans to retain control. Except in China and India, most people believe AI will remove more jobs than it creates.
How well do people understand AI?
Most people (82%) have heard of AI, yet about half (49%) are unclear about how and when it is being used. However, most (82%) want to learn more. What’s more, 68% of people report using common AI applications, but 41% are unaware AI is a key component in those applications.
What are the key drivers of trust?
The research report highlighted that trust is central to the acceptance of AI and highlighted four pathways to strengthen public trust in AI:
1. An institutional pathway consisting of safeguards, regulations, and laws to make AI use safe, and confidence in government and commercial organiations to develop, use and govern AI.
2. A motivational pathway reflecting the perceived benefits of AI use.
3. An uncertainty reduction pathway reflecting the need to address concerns and risks associated with AI.
4. A knowledge pathway reflecting people’s understanding of AI use and efficacy in using digital technologies.
Of these drivers, the institutional pathway has the strongest influence on trust, followed by the motivational pathway. These pathways hold for all countries surveyed.
How have attitudes changed over time?
The research also examined how attitudes towards AI have changed since 2020 in Australia, the UK, USA, Canada, and Germany. Trust in AI, as well as awareness of AI and its use in common applications, increased in each of these countries. However, there has been no change in the perceived adequacy of regulations, laws and safeguards to protect people from the risks of AI, nor in people’s confidence in entities to develop, use and govern AI
People have more faith in the ability of AI systems to produce reliable output and provide helpful services, than the safety, security and fairness of these systems, and the extent to which they uphold privacy rights.
However, trust is contextual and depends on the AI’s purpose, most people are comfortable with the use of AI at work to augment and automate tasks and help employees, but they are less comfortable when AI is used for human resources, performance management, or monitoring purposes.
Most employees view AI use in managerial decision-making as acceptable, and actually prefer AI involvement to sole human decision-making. However, the preferred option is to have humans retain more control than the AI system, or at least the same amount.
While nearly half of the people surveyed believe AI will enhance their competence and autonomy at work, less than one in three (29%) believe AI will create more jobs than it will eliminate.
This reflects a prominent fear: 77% of people report feeling concerned about job loss, and 73% say they are concerned about losing important skills due to AI.
However, managers are more likely to believe that AI will create jobs and are less concerned about its risks than other occupations. This reflects a broader trend of managers being more comfortable, trusting and supportive of AI use at work than other employee groups.
Given managers are typically the drivers of AI adoption at work, these differing views may cause tensions in organizations implementing AI tools.
In addition, younger generations and those with a university education are also more trusting and comfortable with AI, and more likely to use it in their work. Over time this may escalate divisions in employment.
There are also important differences among countries in our findings. For example, people in western countries are among the least trusting of AI use at work, whereas those in emerging economies: (China, India, Brazil and South Africa) are more trusting and comfortable. This difference partially reflects the fact a minority of people in western countries believe the benefits of AI outweigh the risks, in contrast to the large majority of people in emerging economies.
Making AI Trustworthy is a Business Imperative for Board Directors and C-Suite Leaders
The good news is that the research findings show people are united on the principles and practices they expect to be in place in order to trust AI .
On average, 97% of people report that each of these are important for their trust in AI. People also stated that they would trust AI more when oversight tools are in place, such as monitoring the AI for accuracy and reliability, AI “codes of conduct”, independent AI ethical review boards, and adherence to international AI standards.
The strong endorsement for the trustworthy AI principles and practices across all countries provides a blueprint for how organizations can design, use and govern AI in a way that advances and secures trust in AI.
In conclusion, corporate purpose needs to be front and center in building AI Trust and board directors and C- suite leaders have a duty of care responsibility to ensure Trusted AI is a core competency in an increasingly more digitally smart world.
Research Sources:
Gillespie, N., Lockey, S., Curtis, C., Pool, J., & Akbari, A. (2023). Trust in Artificial Intelligence: A Global Study. The University of Queensland and KPMG Australia. 10.14264/00d3c94
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This report sets the bar for all creators of thought leadership. From the start, it is obvious who this is relevant to and why they would want to read on. The authors and the analysis they provide are very credible and deliver fresh insights. Practical advice from organisations making progress on SDG reporting, combined with simple and achievable recommendations from the authors, provide a compelling picture of achievable actions and realisable results.
KPMG’s analysis of reports, combined with expert interviews, enables the authors to deliver fresh and convincing insights. The first few pages provide a good sense of what the report is about and the depth and breadth of the research undertaken, as well as the extensive experience of the lead authors. Including quotes from a range of experts throughout the report alongside their photos helps to make the content engaging.
KPMG frames its annual analysis of customer champions by challenging readers to determine where they must simply be good enough and where they need to excel. The clear structure and engaging tone makes the report easy to read and conveys a helpfulness and warmth that encourages further interaction. And stories are used throughout—stories that engage the reader in the moment and are likely to be remembered long after the report is read.
This publication, with the goal of explaining how the world’s best healthcare organisations develop managers and leaders, is structured around six rules, each of which is illustrated by a case study and supported by helpful “symptoms of failure” and “key actions for boards”.
With an all-time high in terms of average score, KPMG retains its eighth-place ranking. And the firm also makes it into the top-five list for both appeal—where we’ve seen an improvement in design, structure and writing style—and resilience. The challenge for KPMG is cutting out or improving low-scoring content (10% of this sample scored less than 8.0) and pushing more into the top band (another 10% scored at least 12.0).
It would be easy to dismiss the alarming inconsistency of the quality of KPMG’s thought leadership by attributing it to sheer volume of material the firm publishes. That may, indeed, be true, but EY publishes significantly more and manages to maintain an impressive degree white space of consistency by comparison. So what’s going on here? It’s hard to be sure, but we suspect a chronic inability to centralise thought leadership within the firm is leading to a lack of coordination
KPMG shares the ‘high variability’ box with its Big Four compatriot EY. We know, however, that work is underway at KPMG to improve quality across the board, so hopefully this leap up our ranking is indicative of a trend rather than just a lucky sample choice. When a firm’s output is variable, relative scores against the four criteria tend to change from review to review based on the random sample chosen. This time, the firm’s strongest area is differentiation; its weakest resilience. KPMG is clearly
At its best, KPMG is producing reports such as Paths to population health . Structured around eight questions (eg Is there a shared understanding for the journey?), KPMG introduces the authors and their credentials up front; explains clearly what organisations need to do; provides engaging case studies to bring the material to life; and offers a maturity matrix encouraging readers to benchmark their own efforts.
KPMG has selected a highly topical subject and tackles the issue head on with a pragmatic ‘how to’ approach. The firm succeeds in conveying a realistic sense of urgency, challenging those who are assuming that the impact of biosimilars on the US market will be very gradual.
KPMG continues its steady climb up our rankings table. We’re seeing less text and more attractively presented reports, greater use of internal and external experts, and more of a focus on the ‘so what’ for the reader. An example of this approach in action is Creating new value with patients, carers and communities. A well-written introduction, a concise easy-to-follow structure, real-life examples, and information about internal and external experts are likely to encourage readers to think positively about the firm.
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08 July 2024 Speech by Sarah Gardner
Please note: This is the speech as drafted and may slightly differ from the delivered version.
Thank you for that introduction and thank you everyone for being here today. I’d also like to pass on Andrew’s apologies for not being able to make this week’s event. Since this event was announced and we had agreed to attend, a General Election has been called in the UK, so we are now in the pre-election period, which does mean I have needed to change the focus of my speech to reflect that. I will touch on some of the things we have already announced and are implementing but it will be for the next Government, whoever that is, to lay out their policy agenda when they take office, without people like me having recently commented on what parts of policy or regulation may or may not look like. As such, I won’t be talking further about the 2023 White Paper, that laid out various reforms to gambling regulation in Great Britain.
So what will I be talking about today? Well, as you may have heard myself and our CEO, Andrew Rhodes, as well as others say before, the Gambling Commission has a lot to be getting on with and a number of projects that deserve attention outside of the work to implement the 2023 White Paper. I also want to take the opportunity to reflect a little on what we see emerging in the industry and what regulators may need to turn their attention to, or at least what we might need to think about.
The world is a changing place but the British jurisdiction remains important for a number of reasons. We are, of course, still the largest regulated online jurisdiction in the world and quite possibly one of the most liberalised. As such, many of the things that happen in the industry happen in Great Britain first. We do now see many new regulators emerging in economies addressing the growth they will have seen in online gambling in particular during the pandemic or where those nations want to regularise and regulate gambling for the first time, or to update their approach to reflect political, social and consumer behaviour changes.
Core to so much of what we do is the evidence base we have and need. There is sometimes much sentiment and emotion involved in the industry people in this room work in, regulate or supply services to, and that is not unimportant, but ultimately we need to be guided by the evidence. Related to that, I’ll touch on the impact that our Compliance and Enforcement work has had and what that means for how we can engage with the industry now and in the future. So I will also spend some time discussing how we are developing the better statistics and evidence that will allow us to make better decisions that lead to better outcomes in the future as well. All of this work is of course tied together by the new Corporate Strategy we published in April. But back to the here and now. What does the gambling sector look like in Great Britain today?
Last year, the British market, for the first time went through the £15 billion mark in terms of Gross Gambling Yield (GGY): £15.1 billion for the financial year April 2022 to March 2023. But what about participation?
Earlier today we have released Wave 2 findings from the Gambling Survey for Great Britain (GSGB), based on 5,000 responses collected between November 2023 and February 2024.
This release focuses on participation in gambling during this time, 48 percent of respondents aged 18 years and over had gambled in the past 4 weeks (about the same proportion who told us they have visited pubs/bars or clubs in the past 4 weeks), with lotteries and scratchcards being the most popular activities that people take part in (36 percent and 13 percent respectively).
We found that most respondents who had gambled in the past 12 months were motivated to gamble for ‘the chance of winning big money’ and ‘because it’s fun’, and overall, when asked how they felt about gambling respondents said they neither loved it nor hated it.
We know that 21 percent of respondents have only taken part in lottery draws in the past four weeks (either National Lottery or Charity Lotteries), whereas 27 percent are taking part in other types of gambling.
For respondents aged 45 to 74 years old, participation in lottery draws makes up a significant part of their gambling.
This is the second release from the GSGB, as we’ve already started calling it, following the Wave 1 findings which were published in February 2024. In July we’ll also be publishing the first annual report for the GSGB, this will include more detail about the impact of gambling alongside the findings on the types of activities that people are playing.
There is a natural interest in how the evidence base we, and others, rely on to underpin our regulatory work and I think that’s important. Those of you who are active in the British jurisdiction or follow it closely, you will know there has been plenty of comment on the new methodology for the GSGB. We commissioned and then published an independent assessment into the GSGB by Professor Sturgis – who looked at both our new methodology and our approach to its development. In his assessment, Professor Sturgis made some key recommendations for the Commission to consider, to ensure the quality and robustness of the statistics continues to build confidence. We will naturally deliver against those and we also note the risks he identified in having a new methodology and the caution that should be applied when seeking to draw precise conclusions. But alongside this, Professor Sturgis not only described our work developing this methodology as ‘exemplary in all respects’; he makes clear there is no going back.
GSGB is now a reality. We will continue to develop it over time, of course. But the Commission has taken the steps we needed to both safeguard and improve our data. Better evidence, driven by better data will lead to better regulation, which in turn will lead to better outcomes.
I think it’s right that everyone should be able to see how we have approached this and what the independent review says, but for those wanting to debate trends in the industry it is important to be equally rigorous when relying on other sources and to be clear what the strengths and limitations of that dataset is. I have seen some seeking to decry the GSGB before it has even been published in full, because we have been open about the areas where we need to exercise some caution, sometimes vocally supporting datasets which support their argument, where there is little or nothing known about how those figures have been constructed. I think everyone can do better than that and there is an obligation on all of us to use research, statistics and insight in a responsible way.
We also hear concerns sometimes that we don’t do enough to hear from consumers who suffer no harms from their gambling. Gamblers who some often describe as gambling recreationally. I thought it might be useful to dig a little deeper on what we are doing with our Consumer Voice research, which is one of the ways we engage with consumers who gamble recreationally, as some describe it.
Our Consumer Voice programme is designed to deliver in-depth research that brings the voice of gambling consumers into the Commission. This is made up of both a mix of quantitative and qualitative methods to gather views, opinions, and insights from gambling consumers.
The work complements our nationally representative statistics on gambling participation and the prevalence of problem gambling, collected using the GSGB, but goes into more depth on key issues and emerging areas of interest.
In the last year we have spoken to over 7,000 consumers through the programme, covering topics including the cost of living, bonus offers and incentives, financial risk checks, and consumer trust. We speak to consumers in a range of different ways – through focus groups, in depth interviews, online communities, behaviour diaries and online surveys. And in these different ways, the programme gives us access to a diverse and representative pool of consumers to ensure that we take on board the experiences of all gamblers – from those who gamble occasionally to those who are more engaged.
So these aren’t small groups and samples sizes that we are then extrapolating regulatory direction from. This work is being done year in, year out, at scale and we are speaking to consumers in depth to really understand their views and experiences. It’s also worth pointing out that all this work is another important focus of our Corporate Strategy as well. Underlining the importance we place on this work in the years ahead.
The findings from our Consumer Voice research are not considered in isolation either, but alongside evidence from a range of different sources as part of the bigger evidence picture that we assess using our evidence assurance process. And that gives us real scale. When you take together the different types of surveys and statistics we run each year, in 2023 it represented the views and behaviours of around 40,000 people. So let there be no doubt over whether the Gambling Commission is interested in the views of consumers and those impacted by or interested in gambling. We are to the tune of tens of thousands of people each and every year.
So the Gambling Commission is committed to strengthening its evidence and improving our own statistics. We’re doing that through our participation and prevalence methodology. We’re doing it through how we engage with consumers. And we’re going further by investing in and applying research techniques and approaches to gambling that haven’t been used enough before. One such example is our work with Open Banking data.
This project forms a key pillar of our data innovation programme, together with the GSGB and the Regular Feed of Operator Core Data (ROCD) project. Simply put, through analysing millions of rows of data, the Open Banking project has already had a positive impact on our regulatory development. Alongside other evidence, including of course the thousands of consultation responses, the Open Banking data helped us settle on the most appropriate thresholds at which to set the new financial vulnerability checks. It enables us to see not just a sample of individual’s spending behaviour with specific operators, but also their spend across all remote operators, all within the context of their wider financial behaviours.
We are currently in the process of further expanding the scope of this project, by procuring an increased sample size and incorporating regular data updates. This will enable us to track consumer behaviours and the market over time as the regulatory environment evolves, providing a powerful new tool for research, regulatory development and evaluation.
There are new challenges from the broader use of data at our doorstep today though. There are always new trends emerging but if you look at the evolving role of both team-level and player-level data in sports betting you can see some really big movements that have been taking place. Many have commented on the growth of bet builders and in-play markets in recent years, but what we see now are new challenges for consumers as they can engage with much more subjective micro-markets.
Whether a goal has been scored, a corner given, a yellow card shown and so on are events that are not subjective – they either happened or they didn’t. People might debate if they should have been awarded in their opinion, but there is no dispute that they were. That’s not so much the case on the increasingly popular player-level markets. Whether a shot was taken, was on target, a tackle made and a variety of other micro-markets are ultimately more subjective. Once we introduce concepts which require a human being to make a subjective judgement, we introduce debate and argument. I’m not saying these micro-markets should not exist, but we have seen a notable increase in disputes from consumers where already higher-margin, multiple-selection bets now have elements which one person might see differently, especially when it makes the difference between winning and losing.
Technology and its continuing development, as well as Artificial Intelligence (AI), may well help here but what we do already see today is a significant set of products where consumers are disputing whether the micro-event, perhaps just a single movement in 90 plus minutes of football, happened or not and that brings all kinds of challenges for regulators, as well as the industry. The compilers and providers of data have many processes in place and specific rules to describe events and they often have no relationship with the bets or liquidity itself, but nonetheless this has brought new challenges to us.
An extension of this is the likely continuing journey towards hyper-personalisation. There are already products in development which allow the user to see an event in 3D with data easily presented which is more and more meaningful to their preferences, which you can easily imagine being converted into options rather than things which are merely interesting.
On the one hand, perhaps it presents an opportunity to reduce unwanted cross-selling of products to consumers, but if products or the delivery of them is increasingly attuned to a consumer’s interests and what engages them most, what risks does this present in terms of managing the risks of excessive gambling?
I’m not standing here with a view or position on that, but let’s all understand these are things which will need serious thought by both the industry and its regulators.
The shape of the British market has continued to change in recent years. My colleague, Rab Grewal presented some thoughts on what our Market Insight data tells us a little earlier today and I hope a number of you were able to have a listen. Our Market Impact data isn’t the same as our official Industry Statistics – they aren’t comparable – but they are another valuable tool in analysing what’s going on in the market. So what does it tell us about recent years? Well as Rab told us earlier, we’ve continued to see:
I don’t want to make any rash judgments from this data and what it may mean especially as it only covers a segment of the market. But this data is consistent with what the larger operators have been saying publicly about a shift to a more recreationally focused business model. As our data for GSGB participation builds, we will be able to use the market insight dataset in conjunction with findings from GSGB to better understand the number of activities participants are engaging in.
Another area where we are looking to improve our data and where we recently consulted are our Regulatory Returns. This is the core data operators have to provide us each year, and having consulted on changes we are now implementing them. Getting it right is critical. Hopefully those of you here today representing gambling businesses with a licence from us already know this but, we are moving to collect this data quarterly from all operators instead of the previous set up that only asked for data annually from many operators. At the same time we are also reducing the number of questions operators have to answer. These changes will come into force from 1 July 2024 – that’s next week - for all licensees. So if you aren’t already on top of this, here is your final warning to do so.
And that means that the first set of the now quarterly regulatory returns – those relating to the quarterly return period 1 July 2024 to 30 September 2024 - must be submitted by all licensees by 28 October 2024. If anyone hearing this or reading it later has questions, get in touch with us. As I said, it’s critical we get this right.
Of course there is another – often more publicised - data point operators are involved in and that is our compliance and enforcement work. But, what we are seeing today in our compliance assessments, compared to previously, is a very significant increase in the number of larger operators in particular being found to be compliant at the point of their assessment by the Commission. What we saw last year was the rate of operators achieving compliant first time outcomes in our assessments more than doubled and the compliance rate of the largest operators has almost trebled in the past 2 years. This does mean that with les of our resources deployed working with Tier 1 and 2 operators, we are able to spend more time with other tier operators in our market.
And that uptick in compliance has been mirrored in our enforcement work. I’m sure, from my conversations with the industry, that the years of record breaking penalties made operators sit up and take notice: Myself and Andrew are often asked at industry events whether I think the period of significant enforcement cases and penalties is behind us and the reality is that I can’t know that but I hope that is the case. The trend data certainly points to that looking much more established, but we should never be complacent. The reality is, ensuring compliance is complicated and is dealing with individual consumer behaviours which are not linier and not always predictable:
As I said: we aren’t being complacent and our work in Compliance and Enforcement is a focus set out in our Corporate Strategy. But this is we think, encouraging evidence of an improving compliance picture from operators offering gambling to consumers in Great Britain.
Beyond this our Enforcement and Intelligence teams have also been stepping up their work against illegal online gambling as well. Our aim set out in our strategy, is to make it difficult to provide illegal gambling at scale to consumers in Great Britain.
That means identifying high impact, upstream disruption methods. This involves identifying the key facilities an illegal operation requires such as visibility, payment processing and software and facilities. Then finding smarter ways of shutting those off.
Alongside a significant increase in our intelligence-led disruption efforts, we’ve also been engaging for some time with other bodies and regulators, such as the National Crime Agency, the Police Intellectual Property Crime Unit and His Majesty's Revenue and Customs (HMRC), to deliver a combined approach wherever possible.
For example, our work with HMRC where we have been tackling illegal Facebook lotteries has not only seen those lotteries shut down by the Gambling Commission, but the organisers have found themselves paying £600,000 in penalties to HMRC as well.
And what is all of this achieving?
More work in these areas is planned with meetings arranged with Yahoo to replicate the URLs work undertaken with Google and we also plan to engage with others in this space too.
So for every intervention you see from the Commission in the licenced sector, I’ve hopefully given you an insight into the quantity of work we’re also doing in the unlicenced, illegal space as well.
Much of what we do has been grounded in another key element of our approach and that is collaboration – another key part of our Corporate Strategy. Whether with industry, other regulators, or others, the Commission remains committed to collaborating with others to make gambling safer, fairer and more crime free. Last year we engaged with stakeholders over 250 times, through events like this, one to one meetings or our own workshops and roundtables. That’s a senior stakeholder engagement for every working day of the year. We’re committed to this approach because it delivers results. For both consumers and operators a like. And the great thing is, the more results we deliver, the more space we have to explore where else we can look to collaborate on even more issues.
So let me leave it there. The Gambling Commission is determined to work with anyone who will work with us to build better outcomes in Great Britain. For consumers, for operators and for wider society.
Last updated: 8 July 2024
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July 5, 2024
To show decision makers that it understood them, KPMG designed a series of spoof products, based on a grocery store “own brand” range, each meant to represent one of the Consumer Consulting division’s offerings.
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Companies offering research, insights, and analytics related to financial market data ... KPMG Corporate Finance LLC is a subsidiary of KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG global organization of independent member firms affiliated with KPMG International Limited, a private English company limited by ...
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Read a June 2024 report* prepared by a KPMG LLP tax professional that examines the similarities and differences between specified research expenditure product rights, as defined for section 174, and substantial rights, a prong of the funded research analysis for the section 41 credit for increasing research activities.
KPMG International Limited (or simply KPMG) is a multinational professional services network, and one of the Big Four accounting organizations, along with Ernst & Young (EY), Deloitte, and PwC.The name "KPMG" stands for "Klynveld Peat Marwick Goerdeler". The initialism was chosen when KMG (Klynveld Main Goerdeler) merged with Peat Marwick in 1987.
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KPMG Gibraltar eSummit 2024 - Sarah Gardner speech. ... I think everyone can do better than that and there is an obligation on all of us to use research, statistics and insight in a responsible way. We also hear concerns sometimes that we don't do enough to hear from consumers who suffer no harms from their gambling. Gamblers who some often ...
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How KPMG Used Spoof Products to Show It Understood Its Target Audience. July 5, 2024 . To show decision makers that it understood them, KPMG designed a series of spoof products, based on a grocery store "own brand" range, each meant to represent one of the Consumer Consulting division's offerings.
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Research was conducted between April - June 2023. About KPMG International . KPMG is a global organization of independent professional services firms providing Audit, Tax and Advisory services. KPMG is the brand under which the member firms of KPMG International Limited ("KPMG International") operate and provide professional services.