By James Blake CEO of Hello Soda
The digital era has changed the way we live and therefore automatically changes the way we need to do business. Through innovative technology, businesses can become more efficient, accurate and even more flexible.
Using social media to analyze the digital footprint of customers can actually help to revolutionize the financial services and fraud detection markets. Snapshots from borrowers’ social media activity could reduce the number of loans rejected based on inefficient and inaccurate data from traditional credit scoring methods. Businesses in the credit industry need to evolve to maximize the opportunities that social media presents in order to respond to a fast-paced culture where consumers are being much more demanding.
If we look at credit scoring, traditional rating models are based on historical financial performance, and do not take into account a person’s ‘true’ and real-time circumstance. Credit scores usually consider long-term behavior, focusing on payment history (35%), total amount owed (30%), length of credit history (15%), new credit (10%) and type of credit in use (10%). The evaluation of these five categories allows lenders to forecast future behavior and risk of the borrower. Credit scoring is accurate, but linear. It doesn’t take into consideration the context of that information and is therefore inefficient.
For instance, a lender may reject a borrower because of their intermittent employment – it is assumed the borrower is irresponsible. In the real world, the borrower could have saved up enough money to leave regular employment and take up an internship, or perhaps go travelling, and still afford to pay their bills and fulfil their responsibilities. Another challenge banks face is that credit data isn’t live meaning that major changes may not be seen for months at best. For instance, a borrower may have had a well-paid job but have been made redundant or have started their own businesses and already accessed a lot of credit. It’s likely the borrower would put that information online, in the form of a status or profile update, contributing to their trail of Big Data stored online. If Big Data had been plugged in to the credit score calculation it would have bridged the knowledge gap between intermittent employment and the context of the irregularity, making the application successful first time.
As technology advances, more data about a borrower is created and stored online but currently it’s unmeasured. According to IBM, 2.5bn gigabytes of data was generated every day in 2012 alone and 90 per cent of online data has been created in the last few years. There are calls for the industry to incorporate unmeasured Big Data into the credit score calculation to add context to the fixed, historical data.
Social data brings personalization into the equation. Affordability assessments will become more detailed and bespoke than ever before and still maximizing efficiency, thanks to automated data analysis via packages provided by business such as Hello Soda. Lenders have a unique insight into their borrowers, able to see if they had recently needed to invest in a new boiler, whether they currently shop at Lidl or Waitrose, if they have just been on holiday, got engaged, or had a new baby. Social data reveals these snapshots so businesses can draw their own, well-informed, financial conclusions. In addition, an average user spends 42 minutes a day on Facebook. Any business would love to have that much time with their customer so social data can provide a real and unrivalled insight.
The traditional system is essentially an antiquated system which incorporates no room for the human element which is embedded into each statistic and shred of personal data.
Hello Soda has developed a unique technology platform called PROFILE which is a cloud-based, unstructured data engine. This takes customer information from social media platforms and blends it with other third-party data sources to create real reputation scores with a human element. Something that we call 4D profiling. PROFILE embraces Big Data into the credit scoring process, plugging an industry gap to give an accurate report based on live data which can reduce the number of loans rejected, helping make fairer decisions around affordability and improving responsible lending and borrowing. By using Bayesian Belief Network principles, we are using technology to help companies understand a person as an individual.
But it’s not just creditworthiness that social media analysis is being used for; propensity to commit fraud, employee vetting, and insurance claimants’ trustworthiness are just some of the issues the technology is being put to use to resolve.
Insurance companies are inherently interested in personality traits, fraud detection and high-risk alert. So social media profiling can score on characteristics such as openness, extraversion and conscientiousness. It also offers employment and date-of-pay indicators to effectively reduce fraud and high-risk applications. It uses psycholinguistic analysis of unstructured text through social media to identify and flag patterns which feed into insurers’ decisions. For instance, eliminating fraudulent claims, identifying retention and cross-selling triggers and analyzing how likely it is a customer will make a claim.
Meanwhile, we know that employers and recruiters use social media to check up on potential staff during the recruitment process. In fact, 95% of employers already do this. Having an official and tested profile to conduct this element can deliver informed and accurate behavioral intelligence and employee vetting. In addition, PROFILE is also being rolled out in the gaming industry to provide verification and profile indicators and we are also bringing our capability into the public sector domain where fraud, error and uncollected debt can cost billions each year.
As a company, Hello Soda started up as a SME in the UK in 2013 but is already taking big strides. We operate on a global basis and in just two years have experienced huge demand for our platform. We’re now opening up an American office in New York where we have recruited two new heads of sales – Layton Brooks and Oliver Peckham – which will enable Hello Soda to push further into the US market and develop an established international brand presence.
Our decision to expand into the USA has come off the back of success we have already had in North America. With 40% of our clients already US based, this was the natural next step and we hope the start of further expansion internationally where there is a strong appetite for technology that can aid customer insight not only for better risk pricing and fraud prevention but also to increase customer acquisition, retention and cross sell up sell identification.
Social media use is continuing to balloon. Worldwide social media users exceeded 2bn in August and it is only set to increase. There has never been a better time for organizations to join the data revolution and utilize thousands of data points, extracted from digital footprints which will revolutionize the industry.
How to use data to protect and power your business
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:
- Burgeoning amounts of unstructured data makes the business increasingly vulnerable from external attackers or internal data breaches.
- 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.
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
- By changing the way you approach data, you can use it to protect and power your business and the people you serve.
- 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.
- 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.
- 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.
How business leaders can find the right balance between human and bot when investing in AI
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.
Are you a fighter or a freezer? The 4 “F’s” of Surviving Danger
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?
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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