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BIG DATA AND ITS IMPACT ON MODERN DAY GLOBAL INVESTIGATIONS

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simon yarwood

Simon Yarwood and Ching Liu, from Control Risks looks at how financial organisations can reduce the risks created by the explosion of data in the fight against fraud and corruption.

Fraud is changing and so too are the means required to fight it. As businesses venture into new markets and get involved with suppliers, partners and customers in unfamiliar environments, the risks of doing business are increasing. Meanwhile corruption and bribery also pose an increasing reputational and financial risk for the financial sector as the law gets tougher and public scrutiny grows.

Ching Liu

Ching Liu

The almost total reliance on technolog
y to trade is also creating vulnerabilities for many financial organisations. The exponential growth and amount of data that is generated and stored by companies’ means that the data must be organised appropriately in the event of a fraud investigation, enabling rapid retrieval and analysis.  Failure to do this will expose organisations and significantly complicate the fight against fraud and corruption.

In the event of an investigation, we are almost always presented with vast quantities of data – not just unstructured data such as emails and documents, but also database information such as accounting and banking records, communication recordings and social media interactions.  These are stored in a wide variety of locations and formats, increasingly including the ‘Cloud’.

This creates a problem for investigators because it makes it much more difficult to identify the issue quickly and anything that slows down the investigation process can be costly – both in monetary and reputational terms. When a fraud is uncovered, quickly finding its source and addressing any vulnerability in the company’s processes and systems is essential to stem the flow of losses. When it comes to shutting down a fraud, time really is money.

Bringing order to chaos

The growth of big data has had a number of profound implications for the roles of the professionals (such as lawyers, digital forensics, and forensic accountants) that are tasked to investigate major frauds. The first task is to locate the data, work out who the custodians of it are and what format it is in. Once the data mapping has been performed and the relevant sources identified, it will need to be secured in an evidential and defensible manner. It can then be analysed to quickly and efficiently focus on the key issues and to filter out any irrelevant information.

Simon Yarwood

Simon Yarwood

One consequence of this is that the role of the forensic accountant has grown in importance as has the need for forensic computing expertise. The vast quantities of data that organisations now generate can make it much more difficult, time-consuming and expensive to identify the evidence required to commence legal or disciplinary proceedings. The specialist tools available to forensic accountants and forensic computing consultants enable them to identify and focus quickly on the transactions, correspondence or other evidence, that shows exactly what occurred. Whilst doing this, the forensic accountant can also identify any weaknesses or vulnerabilities in internal systems and controls that allowed the fraud or other misconduct to take place.

The role of other professional groups in fraud investigations is also rapidly changing, in particular that of the lawyers involved. Legal professionals are now the golden thread that runs through the whole investigation from start to finish, as so much business data is now spread across a range of legal jurisdictions and data protection and privacy rules vary widely from country to country. In some it can be a criminal offence to move data beyond its borders; in others it can be illegal to recover information from employees’ devices without a court order, even if both the machine and the data it contains are the property of the company.

Consequently, legal advice is required at the outset of an investigation to ensure that it can be recovered lawfully and handled correctly to ensure its evidential integrity. Evidence gained by lawyers is usually subject to legal professional privilege, which can be important in some situations, and lawyers also have extremely useful experience of information management and handling gained from the ‘e-discovery’ process that has become an essential part of major litigation.

Preparing for the worst

All of this comes at a price, and the more professional time that needs to be allocated to a fraud investigation, the greater the cost can be. There are, however, a number of things that companies can do to ensure that any future fraud investigations can be conducted efficiently.

The first is for companies to develop a good understanding of where their information is held – and by whom – and to have a clear idea of how and where new data is generated, as well as how data is handled historically. In our experience, financial institutions generally have a good grasp of this, but the speed at which the information infrastructure financial businesses develops means that the data map needs to be redrawn regularly if it is to remain relevant.

Secondly, it is essential to have clear policies on how employees store data and what they can and cannot do with their devices. If data is to be collected efficiently in the event of an investigation, It is not only important that these policies are in place, but that employees are aware of them and have consciously agreed to them.

For multi-national businesses these policies need to comply with the data protection, privacy and employment laws of each of the jurisdictions in which they operate and in many cases will also need to consider the use of personal devices for business purposes. In latter regard, technical solutions are also available to segregate personal from business data to enable company information to be recovered without intruding on private information.

Finally, it should be recognised that data preparedness needs to be considered to be a critical part of a business’s crisis management and business resilience plans. By treating information governance as a potential ‘crisis management’ issue in this way, the reputational and financial damage of fraud and corruption can be considerably reduced.  Moreover, a happy side effect of keeping on top of your data is that good information governance will significantly reduce your exposure to fraud.

About authors

Simon Yarwood is Associate Director for Forensic accounting within the Corporate Investigations division. He provides specialist financial and accounting assistance to clients conducting internal or external investigations, or involved in complex legal disputes. [email protected]

Ching Liu is Practice Leader for Digital Forensics at Control Risks. He is a forensic specialist in many different operating systems, ranging from personal devices to business networks and mainframe architecture. Since joining Control Risks he has been involved in numerous civil and criminal cases involving computer fraud and [email protected]

Business

How to use data to protect and power your business

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How to use data to protect and power your business 1

By Dave Parker, Group Head of Data Governance, Arrow Global

Employees need to access data to do their jobs. But as data governance professionals, it’s our job to protect it. Therefore, we must perform a fine balancing act to weigh robust data protection against the productivity of workers who need the data to maintain business-as-usual working processes.

Data grows exponentially, and most organisations will admit that they simply don’t know what data they have, where it is, and the controls that exist around it. This creates 2 challenges:

  1. Burgeoning amounts of unstructured data makes the business increasingly vulnerable from external attackers or internal data breaches.
  2. Because data is the key to understanding a customer’s wants and needs, if the business can’t identify its data and unlock its value, it’s at a competitive disadvantage.

As a European investor and alternative asset manager, here at Arrow Global we take care of £50bn of assets and own a data estate exceeding 160TB. How we manage our data is key to our success. We understand the difficulties involved in opening up environments to allow people to work productively, while at the same time locking them down to protect our organisation.

When it comes to analytics, I believe that Arrow is highly proficient because we employ a talented team of data scientists. But even for us, the sheer volume of raw and processed data, that resides in both our structured systems and unstructured data repositories, has the potential to put our business at risk.

We know there’s always more that can be done to strengthen our security posture and ensure regulatory and contractual compliance, while at the same time using our data to drive the business forward.

Data protection isn’t just about compliance

For many organisations, data protection has centred on demonstrating compliance with the GDPR. At Arrow, our efforts have gone one step further to include our contractual exposure.

Being a more mature data organisation, we had previously tried to develop an application in-house to manage our data estate. However, with 160TB across the company in production data alone, we simply couldn’t achieve the scale we needed to handle the sheer volume of data. Of course, the volume is just the start – once you know what data you have, you then need to be able to categorise the data and put it into a structure, so the business can analyse it for a specific use case.

We knew we needed to go to market to find an industrial-strength data discovery product to replace our in-house application. By aligning our choice of product to our overall IT and change strategy, meant that ultimately, we ended up with a far better outcome than we’d anticipated.

Position data as both a risk and an asset

Data touches every part of an organisation, so when it came to building a business case for buying-in a data discovery software platform, we approached it in a way that would speak to different people at the same time. We did this by posing the question:

“What do we want to do with data in a way that is GDPR-compliant, contractually-compliant and enables us to better service our clients?”

These are the black and white tests of data governance – to recognise the importance of securing and protecting data. They’re applied in a way that enables us to commoditise data and use it to drive the business forward, by forcing us to consider how we would use the data – for example, creating value-based pricing for our clients.

In aligning the business case to initiatives that were already priorities within the boardroom, we knew that we’d gain the attention of the senior leadership team and it would be easier to get the buy-in and budget we needed. And in the end, everyone wins – we get what we need to protect the data, and the business gets to distil the data’s value to better meet our customers’ expectations.

Dave Parker

Dave Parker

Get visibility of data at scale

For us, things got really exciting once we were able to see all of our data at scale. We chose Exonar because it allowed us to discover our data in ways that other products couldn’t. And the interface between the user and Exonar meant that everyone – both technical and non-technical users – could understand the technology and the findings it revealed.

When we saw exactly what data was in the estate, where it was and who had access to it, data security became much easier and the risk of data being compromised was dramatically reduced. We can see exactly where the vulnerabilities are and restructure how our data is stored to strengthen security. Then over time, we can use search, workflow and analysis to optimise the infrastructure and continually identify new areas to improve.

Commercialise the data

From a wider-business perspective, once people can see the data, they can start asking “What if…” to query it and distil its value. But it’s more than just the data itself. It’s not uncommon for data relating to the same thing to exist in unconnected systems across the business. For example, customer interactions and incidents or events.

Exonar is capable of joining the dots in disparate data sets. By stitching these data sets together, we can get a better overall view of our customers and use the outcomes to think of new, different or better ways of serving them through enhancing or adapting our offerings.

Why other financial services businesses should also take a smarter approach to data

  1. By changing the way you approach data, you can use it to protect and power your business and the people you serve.
  2. By positioning data as both a risk and an asset, you elevate its position to give it priority in the boardroom. Ultimately, it’s data that helps the business make informed strategic decisions about how to strengthen its competitive advantage.
  3. By gaining visibility of data at scale, you can see exactly what data you have and where it is. This gives the business confidence about the actions needed to ensure it is secured in both a regulatory and contractually compliant way, and that people are doing the right thing with data at all times.
  4. And joining different data sets provides you with a single view of ‘X’ within your data, no matter where it is. Helping to support your wider-business strategy and priorities, it gives you the information you need to secure a business advantage and generate value.
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How business leaders can find the right balance between human and bot when investing in AI

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How business leaders can find the right balance between human and bot when investing in AI 2

By Andrew White is the ANZ Country Manager of business transformation solutions provider, Signavio

The digital world moves quickly. From keeping up with consumer behaviour patterns, to regulation and compliance, the most successful organisations are always on the cutting-edge of technological developments.

However, when it comes to investing in artificial intelligence (AI), a hard and fast strategy does not guarantee a top spot amongst the league of tech greats. Instead, it pays to take a considered approach to balancing reliance on automated processes with a human touch. Why? Because creative and strategic thinkers are the true propellers of innovation; automation is simply the enabler.

The International Monetary Fund (IMF) developed the ‘Routine Task Intensity’ (RTI) index as a measure of which processes are likely to benefit most from automation. According to this metric, jobs requiring analytical, strategic, communicational and technical skills score low on the RTI index, while simple, repetitive tasks scored highly.

The lesson for business leaders here is simple; your digital investments are just as important as your stake in talent. When deciding which processes to automate, start simple, and remember to value the skills and potential of your people.

Keep customer-centricity at your core

Customer-centricity means that every business decision, dollar spent and new hire is centred on one question: how does this benefit my customer? Investments in AI are no different. To be truly successful, they must have a customer-focused outcome.

Where companies get this wrong is by implementing cost-saving measures or ‘copy and paste’ software that fails to improve the customer experience – often having the adverse effect.

Take the virtual chat-bot, for example; if implemented poorly, it can send your customers into a frustrating and seemingly infinite cycle of dead-ends. The modern consumer is far too digitally savvy for this shortcut, and will quickly move onto the next merchant offering a more seamless customer service experience.

To guarantee your investments are delighting rather than infuriating your customers, it helps to take an outside-in perspective of your business processes, aided by Customer Journey Mapping (CJM).

Before you commit to digital investments, CJM can trace and map each customer touchpoint, signalling pain points or conversion rates throughout their journey. These data-driven insights lead you to the areas that would benefit the most from automation, instead of implementing a broad band-aid solution.

Avoid the ‘set and forget’ method 

When investing in enterprise-wide AI, the ‘set and forget’ method rarely works. Real transformation requires an ongoing dedication to refining and improving AI-driven processes, as well as adapting them to the evolving needs of your customers. This is the best way to achieve customer loyalty, by proving that your organisation listens to, and understands its users.

A human perspective is invaluable here, paired with process mining – a method that thrives on finding process inefficiencies – to create a consistent feedback loop of improvement.

During periods of uncertainty, customer loyalty is everything, so aim to protect it at all costs.

The power of your people

The rise of automation can be linked to the corporate world’s obsession with speed and efficiency. However, the psychology behind this goes deeper than being the biggest and fastest producer; it’s also about reallocating resources into attracting and retaining the brilliant minds that drive companies into the future.

When communicating digital change, it’s critical to highlight the valuable impact AI has on augmenting jobs; removing the burden of mundane, repetitive tasks and allowing for more strategic skill-sets to shine through. For lower-skilled workers, invest in upskilling or re-education where possible.

Successfully rolling-out digital transformation plans means that every employee across all tiers of your company understands the value of AI. The starting point here is education to achieve buy-in. Change communications must be accessible, constructive and value-focused, supported by key culture influencers who champion automation within teams.

Enterprise-wide buy-in is an important element of refining and improving digital processes, as cross-functional collaboration can offer valuable insights into common pain points or inefficiencies ripe for automation. Supported by process mining, collaboration provides a holistic view of how each investment will impact other processes. There is no point investing in automation that streamlines one process and makes another more people-centric, so be sure to take a balanced approach to your investments.

Remember, AI is not about creating an army of robot workers; it’s about increasing efficiency and productivity so that an organisation, and its people, can work smarter.

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Are you a fighter or a freezer? The 4 “F’s” of Surviving Danger

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Are you a fighter or a freezer? The 4 “F’s” of Surviving Danger 3

By Dr.Roger Firestien, Author of Create In a Flash.

The fight, flight, freeze survival response – or FFF for short – is designed to mobilize our brain and body to fight an enemy, run from a tidal wave or freeze to hide from a predator.

FFF is how humans react when they encounter a dangerous situation. It is a primal response that happens instinctively even before we are able to think about the situation we are confronting.

The FFF alarm causes our brain to focus on negative memories, probably to scan them to avoid repeating dangerous situations and negative outcomes.  We get tunnel vision as our pupils dilate to increase our focus and long-range vision, but as a result we lose our peripheral vision.   

Humans use the FFF response and so do organizations.

When organizations encounter dangerous situations, like, say, trying to survive a global pandemic, they can respond by either fighting the situation, fleeing from the situation, or freezing and waiting for the situation to pass.

I would like to propose a fourth strategy for organizations to deal with a danger like the pandemic. It is the fourth “F.”  The farm response. More on that later.

What kind of organization is yours?

The fighter organizations were the ones that fought the idea of a global pandemic or pushed back against the research that reported how serious the virus was.  Think of the meat processing plants that didn’t provide proper protective gear or the religious organizations that refused to take a break from large services.

The results were catastrophic for the organizations and deadly to the employees and worshippers.

It is pretty easy to identify the fleeing organizations.  You don’t see them anymore.  Unfortunately, this is the organization that just doesn’t have the resources or the energy to fight.  You will recognize them by the “For Rent” signs in the windows of the buildings they used to occupy.

The organizations that freeze  are a little more difficult to identify.  They are still around but are frozen by fear. They are the organizations that, although they are in a position to move forward, are too frightened to take a risk or even look at the periphery of their business. Their tunnel vision blinds them to opportunity.  The freezers hide and wait for the danger to pass.  They are the ones who miss out on possibilities.

For example, if you are in the business of supplying concessions to sporting events, airports and national parks, your business is in deep trouble now. So, what are some ways to keep people buying food and drinks with so many venues closed?

Dr.Roger Firestien

Dr.Roger Firestien

Many national parks are now open and visitors need to eat.  How can you sell food while supporting social distancing? Answer: Sell picnic meals to your patrons.  And, sell a blanket that commemorates the park that diners can spread out and have lunch while social distancing with their families. Then, they’ll keep the blanket that reminds them of their visit to the park.

Sound like a good idea? It sure does. You can keep your park concession business, allow people to social distance and add to your product line with that commemorative blanket. Did the company implement the idea? Unfortunately, they did not. They froze and missed the opportunity.

However, businesses are finding ways to optimize their organization and capture opportunities. They are the farmers. The farmer organizations study the situation, just like farmers study the weather and the land. They look at the resources available to them and get to work.

Farmer organizations pivot and get creative.

Distillers, who before the pandemic, were making vodka, whiskey, gin and other spirits quickly changed their operation from distilling booze to distilling sanitizer.

Telemedicine, which had limited acceptance before the pandemic, almost immediately became the accepted way to deliver care.  Now, the doctor comes to you.

Fitness trainers are conducting their sessions via Zoom or in person outside on sidewalks in front of their gyms so they can social distance.

My favorite ranch, SK Herefords, sells their beef at local farmer’s markets in the Western New York area. This spring when the large packing houses shut down and grocery stores were limiting the amount of beef customers were able to buy, my farmer friends were there at the markets with locally produced farm-raised beef.  Sales soared and demand skyrocketed.

Why? The farmers were ready.  They used their resources and were not afraid to optimize them in a rapidly changing and volatile environment. Farmers live with constantly changing weather conditions and market prices and are accustomed to rapid change.

To operate with constant change, all of us, like farmers, need to be constantly creative.  Phil Keppler, my philosopher farmer friend from SK Herefords says, “Creativity helps you to not look at things as a problem. It’s trying to find the solution – and that’s the exciting thing about it. Things aren’t problems anymore. It’s just difficult situations and you’re trying to find a solution to that situation.”

A good mindset for what our world is experiencing now… it’s a difficult situation and we are creating solutions daily.

Fight, flight, freeze or farm. What kind of organization is yours? And, what can you learn from “the farmers?”

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