How Collaboration Tech Is Changing Everything About The Business Of HR

Eric Vidal

It’s no secret that technology has changed the HR industry. HR tech trends for 2017, in fact, include people data collection turning more to predictive analytics, and the line between marketing and HR blurring when it comes to prioritizing the employee experience—and that’s just for starters.

One key shift changing everything about the business of HR is the rise of collaboration tech. Let’s examine the benefits of collaboration tech and why these solutions are replacing outdated HR practices in modern organizations.

The rise of collaboration tech

Use of collaboration tools has skyrocketed in this age of mobility and connectedness. It seems like every business and entity—from the World Economic Forum to our own remote-based team—has turned to collaboration tech to boost efficiency, solve communication gaps, and bring team members closer via technology.

Why is collaboration, as Harvard Business Review (HBR) put it, “taking over the workplace?” Just ask Google’s director of People Analytics Abeer Dubey, who conducted interviews on satisfaction and diversity in the workplace and honed in on the value of truly collaborative work environments. Named as one of the five leaders who are disrupting diversity by the Society for Human Rights Resource Management, Dubey concluded:

“The individuals who make up a team matter far less than the ways they interact with, and view, their collaborators and the overall project. People do their best work when they feel they have strong goals, can rely on each other and believe their work makes a difference.”

That’s one valuable perspective on the reason behind the rise of collaboration tech in the business world. Now let’s look at the specific benefits of such collaboration tech to HR.

Benefits of collaboration tech in HR

  • Increasing opportunity for mentoring and coaching. Many modern employees favor mentoring and coaching over traditional evaluation methods like performance reviews. Collaboration tech allows for easy communication among managers and employees without the bulkiness of email—a benefit any HR leader can get behind.
  • Improving recruiting and onboarding. Employee recruiting and onboarding can be time-consuming and costly. Collaboration software has the potential to streamline communication between HR and new hires while making resources—such as training videos, forms, etc.—easy to find.
  • Providing ongoing training. Many collaboration tech platforms allow for training videos and other types of collateral to be easily updated and highly accessible. Not only that, they also can come with “community” built in, leaving new employees feeling supported and empowered as they navigate the sometimes-overwhelming training process.
  • Satisfying remote work preferences. Forbes reports that 37 percent of U.S. employees who work remotely at least occasionally are happier, feel more valued, are more productive, and get daily detailed contact with managers. Collaboration tech is a cornerstone of catering to those who log in remotely, and HR professionals can leverage that option to find the best talent to fit a position and a culture, not just the closest.
  • Connecting employees with similar likes. Thanks to the social-esque threads included in many collaboration tech platforms, employees can forge connections on topics outside of work. Golfers, triathletes, gardeners, community enthusiasts, etc. can learn more about one another and find common ground without sacrificing productivity. This connection is especially important as the employee experience becomes increasingly prioritized in the workplace.
  • Harnessing the power of social internally. CIO reports enterprise social collaboration platforms—or other types of tech-driven internal social initiatives—can build custom experiences for team members, and in turn, enhance the culture of a workplace. Furthermore, the messaging and video capabilities of many collaboration platforms facilitate a connection among workers not geographically near one another, such as field personnel or work-at-home team members.
  • Helping employees get the most out of their work-life balance. Computer Weekly reports employees waste substantial time going to and from meetings, sorting through seas of emails, and even just trying to determine whom in their organizations would be best suited to field inquiries or comments. In short—the logistics of work prevents many people from, well, doing more of it. Collaboration tech moves to replace and enhance the functionality of email platforms, removing those logistical concerns and replacing them with highly functional, user-friendly, uber-accessible tools that give employees better control over one priceless player in the fight for work-life balance: Their time.

What’s next?

It’s clear the rise of collaboration tech is set to foster a shift in HR, affecting everything from the hiring process to employee experience and everything in between.

Does your organization use collaboration tech for HR purposes? If so, what has been your experience? If not, are you expecting to invest in 2017? Tell me in the comments.

For more on collaboration tools, see Collaboration Tech Development Rests On Community-Enabled Innovation.


Insight Matter: Disrupt The Workforce With Digital Transformation (Part 1)

Ursula Ringham

The state of talent in the digital age is lacking – the demand is outstripping the supply. Businesses are investing in technology (e.g., mobile, social, and AI) to have a competitive edge, but they are missing the story about talent. Companies know if they don’t invest, they will be left behind, but STEM-educated talent is in high demand. Soft skills (adaption, collaboration, innovation, willingness to change, and customer focus) are also in high demand and short supply.

These are some of the takeaways from our conversation on the Growth Matters Network with Mary Brandel of Forbes Insights. Mary discusses a report from Forbes Insights called “Competing for Talent in the Digital Age.” Mary emphases that the surge in digital transformation is disrupting the workforce. You can watch the video replay or listen to the podcast.

Small and midsized businesses (SMBs) are competing for talent. They often fall short to large companies because of their brand name and signing bonus. Additionally, startups have a sexy component that offers excitement and tech incentives. SMBs are in the middle and need to emphasize that they offer great career opportunities and tech advancements.

Digital has disrupted a lot of businesses and now it’s HRs turn to adapt. Workers are expecting to find the same conveniences in their work life as they do in their personal life. A great example Mary gives is moving from paper to online options. If workers have to fill out a paper vacation request form, they’ll assume the company is stuck in the dark ages. This is just one example of a basic task that workers expect to be able to do online.

Companies that have adapted to HR tech are able to automate processes, which only makes them more effective and efficient. HR will become more of a collaborative business partner instead of a branch of the company.

SMBs are facing disadvantages when they have manual HR processes. If you are working with paper and spreadsheets, you’re working in isolation and lacking data to view the workforce. To remedy this antiquated process, SMBs have the advantage to begin using cloud technology because they don’t have as much to undo.

Plus, when they use the cloud, they’ll save money and also be better able compete with large companies, which gives them the opportunity to grow and scale.

As small businesses start to grow and scale, new talent comes in more quickly, which means the HR process needs to be streamlined. The report “Competing for Talent in the Digital Age” looks at NewTech, a satellite communications manufacturer that had HR challenges. They were relying on legacy HR systems: word processing systems and spreadsheets. To accelerate their growth by increasing their workforce by 20%, they needed to make changes to compete for new talent. They used cloud capabilities to automate recruitment, which allowed them to search resumes and partner with third-party hiring agencies to expand their range of candidates.

NewTech saw success using this process because they found new talent to interview more quickly. If they hadn’t used the cloud technology, they wouldn’t have been able to make offers as quickly – they would have been manually reading every application instead.

Another success story from “Competing for Talent in the Digital Age” is Impacts Laboratory, an international pharmaceuticals firm. Its HR business process saw challenges in the gaps between workers and HR information. Additionally, there was a disconnect between the managers working with their employees. As SMBs begin to expand, gaps can occur very quickly. Impacts Laboratory began using a cloud-based talent management platform to bring data together and close the barriers between where workforce data was being stored. This allowed upper management to see the data, make goals, see where talent holes needed to be filled, and increase employee engagement.

Download the “Competing for Talent in the Digital Age” report. To watch more episodes like this, visit

This article originally appeared on Growth Matters Network.


About Ursula Ringham

Ursula Ringham isthe Director of Digital Marketing at SAP. She manages social media and digital marketing strategy for the small and midsize business community. She was recently recognized as one of 15 Women Who Rock Social Media at Top Tech Companies. Prior to SAP, Ursula worked at Adobe and Apple in their Developer Relations organizations. She managed strategic accounts, developer programs, edited a technical journal, managed content for an entire website, and wrote and taught course curriculum. In her spare time, Ursula writes thriller novels about the insidious side of Silicon Valley.

Moving from Gut Instinct to Data Insight

Stefanie Becker and Marius Prohl

What is one of the most frustrating situations a business leader can imagine? Employees leaving their jobs.

Not only does knowledge and experience get lost but also the time and resources invested in acquiring, selecting, and onboarding new candidates. That’s why companies need to answer the question: Which employee groups are at risk of leaving the company in the future?

Anyone with management experience might have a gut feeling about why individual employees quit but may miss larger patterns. One solution to get a holistic view is to bring experience and data together to enrich personal gut feeling with reliable and objective numbers.

Our organization started this journey with a pilot project called “employees@risk” that applied predictive analytics, which means using data to forecast people’s behavior. The main priority and challenge with this pilot was the development and the application of a predictive model that complies with the highest data protection and security standards. Therefore, an anonymized dataset containing more than 300 variables was used to identify key attrition drivers.

The resulting predictive model uses these attrition drivers to identify employee groups with a higher risk of voluntarily leaving our organization. The model becomes “predictive” because it is continuously fed with the latest data and automatically considers every single data change. Such models empower decision makers to foresee the attrition risk of employee groups, looking six months into the future.

The responsibility is to use the results in favor of employees. The data patterns can’t be used for individual cases because of anonymization, but serve as an additional and objective information source that leaders can use to back up their decisions.

The aim of every company is to retain its biggest asset – the people – and predictive models can contribute to better programs for employees. Data science can help create a smarter workplace, enabling HR organizations to use data to make intelligent, unbiased, and future-oriented decisions.

Everyone knows that people more often leave bosses, not jobs. This makes it crucial to understand why Everything You Know About Leadership Is Wrong.


Stefanie Becker

About Stefanie Becker

Dr. Stefanie Becker is HR Project Director for HR Strategy and Planning and working in the Chief Operating Office in HR. In her role, she is striving for enabling SAP HR to become a more data-driven organization. Additionally, she is head of a working group for the International Standardization Organization (ISO) about ‘Human Capital Reporting for internal and external Stakeholders’. Stefanie joined SAP HR in Mai 2017. Prior to that, she was a research assistant at the chair of Business Administration, especially Human Resource Management and Organizational Behavior at the Saarland University (Germany). She holds a PhD in Business Administration examining the relevance of ethical issues in Human Capital Management.

Marius Prohl

About Marius Prohl

Marius Prohl is an Analyst for HR Data and Insights working in the Chief Operating Office in HR. In his role, he is striving for enabling SAP HR to become data-minded organization. He drives People Analytics projects that apply advanced analytics methodologies (e.g. Predictive Analytics) to investigate people-related questions and support data-driven decision making. Additionally, he is creating people analytics training programs to enable HR colleagues to make use of data in a meaningful way. Marius joined SAP through the HR Early Talents Program and worked in various HR Business Partner roles in Germany and the US prior to his current role. He studied Industrial and Organization Psychology at the University of Heidelberg and the California State University East Bay.

More Than Noise: Digital Trends That Are Bigger Than You Think

By Maurizio Cattaneo, David Delaney, Volker Hildebrand, and Neal Ungerleider

In the tech world in 2017, several trends emerged as signals amid the noise, signifying much larger changes to come.

As we noted in last year’s More Than Noise list, things are changing—and the changes are occurring in ways that don’t necessarily fit into the prevailing narrative.

While many of 2017’s signals have a dark tint to them, perhaps reflecting the times we live in, we have sought out some rays of light to illuminate the way forward. The following signals differ considerably, but understanding them can help guide businesses in the right direction for 2018 and beyond.

When a team of psychologists, linguists, and software engineers created Woebot, an AI chatbot that helps people learn cognitive behavioral therapy techniques for managing mental health issues like anxiety and depression, they did something unusual, at least when it comes to chatbots: they submitted it for peer review.

Stanford University researchers recruited a sample group of 70 college-age participants on social media to take part in a randomized control study of Woebot. The researchers found that their creation was useful for improving anxiety and depression symptoms. A study of the user interaction with the bot was submitted for peer review and published in the Journal of Medical Internet Research Mental Health in June 2017.

While Woebot may not revolutionize the field of psychology, it could change the way we view AI development. Well-known figures such as Elon Musk and Bill Gates have expressed concerns that artificial intelligence is essentially ungovernable. Peer review, such as with the Stanford study, is one way to approach this challenge and figure out how to properly evaluate and find a place for these software programs.

The healthcare community could be onto something. We’ve already seen instances where AI chatbots have spun out of control, such as when internet trolls trained Microsoft’s Tay to become a hate-spewing misanthrope. Bots are only as good as their design; making sure they stay on message and don’t act in unexpected ways is crucial.

This is especially true in healthcare. When chatbots are offering therapeutic services, they must be properly designed, vetted, and tested to maintain patient safety.

It may be prudent to apply the same level of caution to a business setting. By treating chatbots as if they’re akin to medicine or drugs, we have a model for thorough vetting that, while not perfect, is generally effective and time tested.

It may seem like overkill to think of chatbots that manage pizza orders or help resolve parking tickets as potential health threats. But it’s already clear that AI can have unintended side effects that could extend far beyond Tay’s loathsome behavior.

For example, in July, Facebook shut down an experiment where it challenged two AIs to negotiate with each other over a trade. When the experiment began, the two chatbots quickly went rogue, developing linguistic shortcuts to reduce negotiating time and leaving their creators unable to understand what they were saying.

Do we want AIs interacting in a secret language because designers didn’t fully understand what they were designing?

The implications are chilling. Do we want AIs interacting in a secret language because designers didn’t fully understand what they were designing?

In this context, the healthcare community’s conservative approach doesn’t seem so farfetched. Woebot could ultimately become an example of the kind of oversight that’s needed for all AIs.

Meanwhile, it’s clear that chatbots have great potential in healthcare—not just for treating mental health issues but for helping patients understand symptoms, build treatment regimens, and more. They could also help unclog barriers to healthcare, which is plagued worldwide by high prices, long wait times, and other challenges. While they are not a substitute for actual humans, chatbots can be used by anyone with a computer or smartphone, 24 hours a day, seven days a week, regardless of financial status.

Finding the right governance for AI development won’t happen overnight. But peer review, extensive internal quality analysis, and other processes will go a long way to ensuring bots function as expected. Otherwise, companies and their customers could pay a big price.

Elon Musk is an expert at dominating the news cycle with his sci-fi premonitions about space travel and high-speed hyperloops. However, he captured media attention in Australia in April 2017 for something much more down to earth: how to deal with blackouts and power outages.

In 2016, a massive blackout hit the state of South Australia following a storm. Although power was restored quickly in Adelaide, the capital, people in the wide stretches of arid desert that surround it spent days waiting for the power to return. That hit South Australia’s wine and livestock industries especially hard.

South Australia’s electrical grid currently gets more than half of its energy from wind and solar, with coal and gas plants acting as backups for when the sun hides or the wind doesn’t blow, according to ABC News Australia. But this network is vulnerable to sudden loss of generation—which is exactly what happened in the storm that caused the 2016 blackout, when tornadoes ripped through some key transmission lines. Getting the system back on stable footing has been an issue ever since.

Displaying his usual talent for showmanship, Musk stepped in and promised to build the world’s largest battery to store backup energy for the network—and he pledged to complete it within 100 days of signing the contract or the battery would be free. Pen met paper with South Australia and French utility Neoen in September. As of press time in November, construction was underway.

For South Australia, the Tesla deal offers an easy and secure way to store renewable energy. Tesla’s 129 MWh battery will be the most powerful battery system in the world by 60% once completed, according to Gizmodo. The battery, which is stationed at a wind farm, will cover temporary drops in wind power and kick in to help conventional gas and coal plants balance generation with demand across the network. South Australian citizens and politicians largely support the project, which Tesla claims will be able to power 30,000 homes.

Until Musk made his bold promise, batteries did not figure much in renewable energy networks, mostly because they just aren’t that good. They have limited charges, are difficult to build, and are difficult to manage. Utilities also worry about relying on the same lithium-ion battery technology as cellphone makers like Samsung, whose Galaxy Note 7 had to be recalled in 2016 after some defective batteries burst into flames, according to CNET.

However, when made right, the batteries are safe. It’s just that they’ve traditionally been too expensive for large-scale uses such as renewable power storage. But battery innovations such as Tesla’s could radically change how we power the economy. According to a study that appeared this year in Nature, the continued drop in the cost of battery storage has made renewable energy price-competitive with traditional fossil fuels.

This is a massive shift. Or, as David Roberts of news site Vox puts it, “Batteries are soon going to disrupt power markets at all scales.” Furthermore, if the cost of batteries continues to drop, supply chains could experience radical energy cost savings. This could disrupt energy utilities, manufacturing, transportation, and construction, to name just a few, and create many opportunities while changing established business models. (For more on how renewable energy will affect business, read the feature “Tick Tock” in this issue.)

Battery research and development has become big business. Thanks to electric cars and powerful smartphones, there has been incredible pressure to make more powerful batteries that last longer between charges.

The proof of this is in the R&D funding pudding. A Brookings Institution report notes that both the Chinese and U.S. governments offer generous subsidies for lithium-ion battery advancement. Automakers such as Daimler and BMW have established divisions marketing residential and commercial energy storage products. Boeing, Airbus, Rolls-Royce, and General Electric are all experimenting with various electric propulsion systems for aircraft—which means that hybrid airplanes are also a possibility.

Meanwhile, governments around the world are accelerating battery research investment by banning internal combustion vehicles. Britain, France, India, and Norway are seeking to go all electric as early as 2025 and by 2040 at the latest.

In the meantime, expect huge investment and new battery innovation from interested parties across industries that all share a stake in the outcome. This past September, for example, Volkswagen announced a €50 billion research investment in batteries to help bring 300 electric vehicle models to market by 2030.

At first, it sounds like a narrative device from a science fiction novel or a particularly bad urban legend.

Powerful cameras in several Chinese cities capture photographs of jaywalkers as they cross the street and, several minutes later, display their photograph, name, and home address on a large screen posted at the intersection. Several days later, a summons appears in the offender’s mailbox demanding payment of a fine or fulfillment of community service.

As Orwellian as it seems, this technology is very real for residents of Jinan and several other Chinese cities. According to a Xinhua interview with Li Yong of the Jinan traffic police, “Since the new technology has been adopted, the cases of jaywalking have been reduced from 200 to 20 each day at the major intersection of Jingshi and Shungeng roads.”

The sophisticated cameras and facial recognition systems already used in China—and their near–real-time public shaming—are an example of how machine learning, mobile phone surveillance, and internet activity tracking are being used to censor and control populations. Most worryingly, the prospect of real-time surveillance makes running surveillance states such as the former East Germany and current North Korea much more financially efficient.

According to a 2015 discussion paper by the Institute for the Study of Labor, a German research center, by the 1980s almost 0.5% of the East German population was directly employed by the Stasi, the country’s state security service and secret police—1 for every 166 citizens. An additional 1.1% of the population (1 for every 66 citizens) were working as unofficial informers, which represented a massive economic drain. Automated, real-time, algorithm-driven monitoring could potentially drive the cost of controlling the population down substantially in police states—and elsewhere.

We could see a radical new era of censorship that is much more manipulative than anything that has come before. Previously, dissidents were identified when investigators manually combed through photos, read writings, or listened in on phone calls. Real-time algorithmic monitoring means that acts of perceived defiance can be identified and deleted in the moment and their perpetrators marked for swift judgment before they can make an impression on others.

Businesses need to be aware of the wider trend toward real-time, automated censorship and how it might be used in both commercial and governmental settings. These tools can easily be used in countries with unstable political dynamics and could become a real concern for businesses that operate across borders. Businesses must learn to educate and protect employees when technology can censor and punish in real time.

Indeed, the technologies used for this kind of repression could be easily adapted from those that have already been developed for businesses. For instance, both Facebook and Google use near–real-time facial identification algorithms that automatically identify people in images uploaded by users—which helps the companies build out their social graphs and target users with profitable advertisements. Automated algorithms also flag Facebook posts that potentially violate the company’s terms of service.

China is already using these technologies to control its own people in ways that are largely hidden to outsiders.

According to a report by the University of Toronto’s Citizen Lab, the popular Chinese social network WeChat operates under a policy its authors call “One App, Two Systems.” Users with Chinese phone numbers are subjected to dynamic keyword censorship that changes depending on current events and whether a user is in a private chat or in a group. Depending on the political winds, users are blocked from accessing a range of websites that report critically on China through WeChat’s internal browser. Non-Chinese users, however, are not subject to any of these restrictions.

The censorship is also designed to be invisible. Messages are blocked without any user notification, and China has intermittently blocked WhatsApp and other foreign social networks. As a result, Chinese users are steered toward national social networks, which are more compliant with government pressure.

China’s policies play into a larger global trend: the nationalization of the internet. China, Russia, the European Union, and the United States have all adopted different approaches to censorship, user privacy, and surveillance. Although there are social networks such as WeChat or Russia’s VKontakte that are popular in primarily one country, nationalizing the internet challenges users of multinational services such as Facebook and YouTube. These different approaches, which impact everything from data safe harbor laws to legal consequences for posting inflammatory material, have implications for businesses working in multiple countries, as well.

For instance, Twitter is legally obligated to hide Nazi and neo-fascist imagery and some tweets in Germany and France—but not elsewhere. YouTube was officially banned in Turkey for two years because of videos a Turkish court deemed “insulting to the memory of Mustafa Kemal Atatürk,” father of modern Turkey. In Russia, Google must keep Russian users’ personal data on servers located inside Russia to comply with government policy.

While China is a pioneer in the field of instant censorship, tech companies in the United States are matching China’s progress, which could potentially have a chilling effect on democracy. In 2016, Apple applied for a patent on technology that censors audio streams in real time—automating the previously manual process of censoring curse words in streaming audio.

In March, after U.S. President Donald Trump told Fox News, “I think maybe I wouldn’t be [president] if it wasn’t for Twitter,” Twitter founder Evan “Ev” Williams did something highly unusual for the creator of a massive social network.

He apologized.

Speaking with David Streitfeld of The New York Times, Williams said, “It’s a very bad thing, Twitter’s role in that. If it’s true that he wouldn’t be president if it weren’t for Twitter, then yeah, I’m sorry.”

Entrepreneurs tend to be very proud of their innovations. Williams, however, offers a far more ambivalent response to his creation’s success. Much of the 2016 presidential election’s rancor was fueled by Twitter, and the instant gratification of Twitter attracts trolls, bullies, and bigots just as easily as it attracts politicians, celebrities, comedians, and sports fans.

Services such as Twitter, Facebook, YouTube, and Instagram are designed through a mix of look and feel, algorithmic wizardry, and psychological techniques to hang on to users for as long as possible—which helps the services sell more advertisements and make more money. Toxic political discourse and online harassment are unintended side effects of the economic-driven urge to keep users engaged no matter what.

Keeping users’ eyeballs on their screens requires endless hours of multivariate testing, user research, and algorithm refinement. For instance, Casey Newton of tech publication The Verge notes that Google Brain, Google’s AI division, plays a key part in generating YouTube’s video recommendations.

According to Jim McFadden, the technical lead for YouTube recommendations, “Before, if I watch this video from a comedian, our recommendations were pretty good at saying, here’s another one just like it,” he told Newton. “But the Google Brain model figures out other comedians who are similar but not exactly the same—even more adjacent relationships. It’s able to see patterns that are less obvious.”

A never-ending flow of content that is interesting without being repetitive is harder to resist. With users glued to online services, addiction and other behavioral problems occur to an unhealthy degree. According to a 2016 poll by nonprofit research company Common Sense Media, 50% of American teenagers believe they are addicted to their smartphones.

This pattern is extending into the workplace. Seventy-five percent of companies told research company Harris Poll in 2016 that two or more hours a day are lost in productivity because employees are distracted. The number one reason? Cellphones and texting, according to 55% of those companies surveyed. Another 41% pointed to the internet.

Tristan Harris, a former design ethicist at Google, argues that many product designers for online services try to exploit psychological vulnerabilities in a bid to keep users engaged for longer periods. Harris refers to an iPhone as “a slot machine in my pocket” and argues that user interface (UI) and user experience (UX) designers need to adopt something akin to a Hippocratic Oath to stop exploiting users’ psychological vulnerabilities.

In fact, there is an entire school of study devoted to “dark UX”—small design tweaks to increase profits. These can be as innocuous as a “Buy Now” button in a visually pleasing color or as controversial as when Facebook tweaked its algorithm in 2012 to show a randomly selected group of almost 700,000 users (who had not given their permission) newsfeeds that skewed more positive to some users and more negative to others to gauge the impact on their respective emotional states, according to an article in Wired.

As computers, smartphones, and televisions come ever closer to convergence, these issues matter increasingly to businesses. Some of the universal side effects of addiction are lost productivity at work and poor health. Businesses should offer training and help for employees who can’t stop checking their smartphones.

Mindfulness-centered mobile apps such as Headspace, Calm, and Forest offer one way to break the habit. Users can also choose to break internet addiction by going for a walk, turning their computers off, or using tools like StayFocusd or Freedom to block addictive websites or apps.

Most importantly, companies in the business of creating tech products need to design software and hardware that discourages addictive behavior. This means avoiding bad designs that emphasize engagement metrics over human health. A world of advertising preroll showing up on smart refrigerator touchscreens at 2 a.m. benefits no one.

According to a 2014 study in Cyberpsychology, Behavior and Social Networking, approximately 6% of the world’s population suffers from internet addiction to one degree or another. As more users in emerging economies gain access to cheap data, smartphones, and laptops, that percentage will only increase. For businesses, getting a head start on stopping internet addiction will make employees happier and more productive. D!

About the Authors

Maurizio Cattaneo is Director, Delivery Execution, Energy, and Natural Resources, at SAP.

David Delaney is Global Vice President and Chief Medical Officer, SAP Health.

Volker Hildebrand is Global Vice President for SAP Hybris solutions.

Neal Ungerleider is a Los Angeles-based technology journalist and consultant.

Read more thought provoking articles in the latest issue of the Digitalist Magazine, Executive Quarterly.



The “Purpose” Of Data

Timo Elliott

I’ve always been passionate about the ability of data and analytics to transform the world.

It has always seemed to me to be the closest thing we have to modern-day magic, with its ability to conjure up benefits from thin air. Over the last quarter century, I’ve had the honor of working with thousands of “wizards” in organizations around the world, turning information into value in every aspect of our daily lives.

The projects have been as simple as Disney using real-time analytics to move staff from one store to another to keep lines to a minimum: shorter lines led to bigger profits (you’re more likely to buy that Winnie-the-Pooh bear if there’s only one person ahead of you), but also higher customer satisfaction and happier children.

Or they’ve been as complex as the Port of Hamburg: constrained by its urban location, it couldn’t expand to meet the growing volume of traffic. But better use of information meant it was able to dramatically increase throughput – while improving the life of city residents with reduced pollution (less truck idling) and fewer traffic jams (smart lighting that automatically adapts to bridge closures).

I’ve seen analytics used to figure out why cheese was curdling in Wisconsin; count the number of bubbles in Champagne; keep track of excessive fouls in Swiss soccer, track bear sightings in Canada; avoid flooding in Argentina; detect chewing-gum-blocked metro machines in Brussels; uncover networks of tax fraud in Australia; stop trains from being stranded in the middle of the Tuscan countryside; find air travelers exposed to radioactive substances; help abused pets find new homes; find the best people to respond to hurricanes and other disasters; and much, much more.

The reality is that there’s a lot of inefficiency in the world. Most of the time it’s invisible, or we take it for granted. But analytics can help us shine a light on what’s going on, expose the problems, and show us what we can do better – in almost every area of human endeavor.

Data is a powerful weapon. Analytics isn’t just an opportunity to reduce costs and increase profits – it’s an opportunity to make the world a better place.

So to paraphrase a famous world leader, next time you embark on a new project:

“Ask not what you can do with your data, ask what your data can do for the world.”

What are your favorite “magical” examples, where analytics helped create win/win/win situations?

Download our free eBook for more insight on How the Port of Hamburg Doubled Capacity with Digitization.

This article originally appeared on Digital Business & Business Analytics.


Timo Elliott

About Timo Elliott

Timo Elliott is an Innovation Evangelist for SAP and a passionate advocate of innovation, digital business, analytics, and artificial intelligence. He was the eighth employee of BusinessObjects and for the last 25 years he has worked closely with SAP customers around the world on new technology directions and their impact on real-world organizations. His articles have appeared in publications such as Harvard Business Review, Forbes, ZDNet, The Guardian, and Digitalist Magazine. He has worked in the UK, Hong Kong, New Zealand, and Silicon Valley, and currently lives in Paris, France. He has a degree in Econometrics and a patent in mobile analytics.