Set Your Business Free With A Next-Generation Database

Jane Fu

Data is the fuel that powers the digital economy. For smaller, fast-growing companies – particularly those in industries like professional services or the media whose business models rely on data – the key to success will be the skill and efficiency with which you use your information resources. Do it well, and you can get a real competitive advantage against both your peers and much larger rivals. In this quest for information excellence, how do you evolve to a data-driven business that can predict, react, and execute in real time?

Unlike the digital startups that are disrupting so many industries, you don’t have the luxury of starting with a blank sheet of paper. Instead, you probably have an established ERP system at the heart of your IT landscape, integrated with a variety of information management, project management, and billing applications that combine to drive your day-to-day operations. The challenge is striking the right balance between stability and agility while maintaining a small IT footprint.

A high-performing business needs a high-performance engine. Many companies are held back by legacy databases that are simply unable to match the efficiency and power of a modern database. But where do you start in choosing the right solution for your business? Here are three ways that in-memory computing can help set your business free from the limitations of traditional databases.

Build a future-ready data infrastructure

The cloud offers a flexible and cost-effective option for creating a data infrastructure for growth. Building this on an in-memory database combines the speed and performance you need to deal with rapidly growing data volumes, and the scalability and security of the cloud. But be careful in your choice of vendor; some companies merely add in-memory cache to a disk-based database instead of designing it from the ground up as a 100% in-memory database. A true in-memory platform can handle both transactions and analytics in-memory on a single data copy, avoiding latencies from moving data between the database and application servers. As well as delivering huge improvements in processing speeds and reduced storage costs, a cloud-based in-memory database can greatly simplify and reduce your overall IT footprint.

Run your business at the speed of tomorrow

Combining a true in-memory database with advanced analytical processing, data integration, and data quality management software provides a single secure environment for all your mission-critical data assets. This will enable you to manage large volumes of structured and unstructured data efficiently, and generate immediate value by getting it into the hands of the right people across the business in real time. At the same time, your in-memory database can provide a flexible innovation platform to accelerate business and IT transformation and scale as your business needs change. Using agile pilots, you can leverage modern capabilities like automation and machine learning to streamline processes, provide new insights, and deliver a more engaging customer experience.

Drive time to value at the lowest cost

Look for an in-memory platform that is available in a secure private cloud and also accessible through selected third-party cloud providers. The comprehensive cloud infrastructure and managed services they provide mean you can move to the cloud at your own pace with flexible, modular deployment that can scale as your needs change. Cloud deployment can also help you reduce IT complexity, costs, and operational risk while enjoying the advantages of subscription-based pricing.

As we said at the beginning, information excellence is the key to success in the digital economy. This is backed up by the numbers: According to SAP Performance Benchmarking, organizations that recognize information as a key strategic asset achieve 46% higher revenue growth. And 76% of the world’s transactions flow through SAP business applications, which run on our in-memory database, SAP HANA. As a leader of an ambitious data-driven business, you want to match the speed and agility of digital startups and the scale and reach of the largest enterprises. Building on your stable ERP core with an in-memory platform could be the difference between becoming a high-performance business and being stuck in the slow lane.

Learn more here.

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Jane Fu

About Jane Fu

Jane is on the Global Product and Solution Marketing team for SAP HANA with a focus on advanced analytics capabilities such as spatial, predictive, machine learning, and text analytics.

Four Stages Of Value Creation With Intelligent Cloud ERP

Niall Salmon

In today’s business climate, your company must move faster and adapt to customers’ changing expectations with more agility than ever before. That means understanding and staying on top of trends and figuring out how to use them to your advantage. The most practical way to do this on a continual basis is to get on board with intelligent enterprise resource planning (ERP) in the cloud.

Intelligent cloud ERP drives value creation by offering an end-to-end solution with unequaled speed, scalability, ubiquity, and user experience. It is the best way to inject insight and smarter practices into your enterprise. Technology has always been the enabler for business change. But this approach greatly reduces complexity to help you move your business quickly toward efficient, effective, and agile operations.

Let’s break that down into four stages.

The four stages

Companies are finding themselves with huge amounts of data to collect and analyze, making it that much harder to find value in it. How can you build new organizational capabilities to put that data to competitive advantage?

Stage 1: Analyze

The first stage is to use transactional data to gain smart business insights that enable you to take action. If your systems aren’t built for the volume and complexity of incoming data, your view of your business reality may not be accurate. For example, it’s likely that your financial teams are spending more time collecting data than analyzing it. The solution is to offer everyone self-service access to in-memory analysis of live data. Cloud computing power can help you crunch data more effectively and identify process inefficiencies. You can base decisions on live data collected automatically from throughout the enterprise.

Stage 2: Optimize

With a process in place to effectively collect and analyze data, you can start to develop flexible, scalable processes across your enterprise. For example, machine learning can help self-correct and streamline processes. simplify routine tasks, remove unnecessary manual work, and cut out human error. Intelligent ERP cloud computing power can help double the productivity of your knowledge workers by filtering and presenting data more effectively.

Stage 3: Strategize

If the information you are analyzing is outdated and reduced to a select few roles in the organization, you won’t be able to obtain a clear picture of the present or plan the future. With intelligent cloud ERP, you can predict where your business needs to go by getting closer to your customers and better understanding market dynamics. You can implement new live data to identify the best choices for competitive differentiation. This includes info on how to optimize your resources as well as details on revenue, cash flow, and profitability. You can also cut down on loss by automatically picking up on patterns that predict fraud, lost revenue, and other anomalies.

Stage 4: Disrupt

Disruption can be a key element in your business strategy if you plan to move into new markets and stay ahead of your competitors. An agile business platform can support continuous innovation with intelligent solutions, and frequent system updates can help you embrace new business models and scale operations for fast growth. You can run your business at the speed of thought, and create agile, collaborative teams who can help you discover and adapt quickly to advances in technology and market shifts.

Intelligent cloud technologies can help you speed up deployment cycles and stay current with the latest technologies. These might include machine learning and artificial intelligence, digital assistants, in-memory analytics with real-time access to your business data, and complete end-to-end data integration.

The ability to scale fast and meet the changing demands of the marketplace is critical to keeping up with and outperforming your competition. Begin your journey to the cloud with intelligent cloud ERP.

Learn more here.

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Niall Salmon

About Niall Salmon

Niall Salmon is an ERP consultant for SAP S/4HANA Cloud at SAP. His experience lies in forging long-term partnerships, developing bespoke IT solutions for large corporate entities, and the promotion and understanding of emerging technologies. He has an honors degree in Business Marketing Management. He has operated as a B2B solution consultant for IT and telecoms companies for the last six years.

Four Ways To Capture Competitive Advantage With Intelligent Cloud ERP

Conor Donohoe

The modern business environment is in a state of constant evolution. Fast-changing consumer behavior and technological change have left countless organizations and industries vulnerable to disruption. According to Deloitte’s 2016 Global CIO Survey, 57% of CIOs believe that the core expectation of information technology is innovation, while an additional 35% cite strategic alignment with business objectives as a success measure.

Research confirms that innovative brands are more likely to profit and survive – including average achievement of nine times higher brand appreciation than their counterparts. The pressure to develop agility is pushing the global worldwide adoption of smarter core systems, including intelligent cloud enterprise resources planning (ERP). Worldwide, cloud infrastructure spending will overtake on-premises IT by 2020, and Gartner estimates that the public cloud services market will grow 17% to reach $208.6 billion by 2020.

Achieving an intelligent cloud advantage

Intelligent, cloud-based systems can enable CIOs to achieve faster time to deployment and immediate access to some of today’s most advanced technologies. This blog, inspired by Gartner and Forrester research into today’s most disruptive technology trends – as well as the other sources cited – outlines four crucial technologies enabled by intelligent cloud ERP.

1. Artificial intelligence

We’re in the middle of a “race for patents and intellectual property” in artificial intelligence, according to Forbes. AI and machine learning can deliver real business value in all industries through interactive customer experiences, automation, and proactive maintenance. Intelligent cloud ERP can fuel machine learning algorithms and AI deployments with processing power and centralized Big Data storage.

2. Digital assistants

In 2018, demand for digital assistant technologies will double, with adoption projected to reach 1.6 billion users by 2020. The intelligent cloud can enable organizations to adopt natural language interfaces, hyper-personalization, and advanced knowledge bases for engaging, productive employee experiences.

3. In-memory analytics

Real-time analytics on Big Data requires speed, performance, and reliability, all of which are enabled by intelligent cloud ERP. Organizations can achieve total oversight and precise forecasting with the ability to understand Big Data from employees, systems, sensors, and more – in real time.

4. End-to-end data integration

Businesses may be drowning in Big Data, but too few have meaningful ways of extracting intelligence from disparate “data lakes” in the cloud. Big Data is a commodity only if it’s both accessible and actionable. Adopting cloud ERP can enable end-to-end integration of Big Data from many sources, and eliminate the need for intensive extraction procedures and data scrubbing.

Capture competitive advantage

The organizations that gain competitive advantage are the ones that use technology to continually reinvent the customer experience, push productivity, and use analytics for data-driven decision-making. The cloud and cloud ERP provide a baseline that’s always-up-to-date, so IT leaders can focus on adding value through innovation.

Find out more about intelligent cloud ERP solutions here.

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Conor Donohoe

About Conor Donohoe

Conor Donohoe is an ERP consultant for SAP S/4HANA Cloud at SAP. He is a qualified chartered accountant, with first-hand experience of how technology can drive business change. Trained in a Big Four accounting firm, he is experienced in advanced analytics and reporting within the professional services, banking, and pharmaceutical industries. Conor comes from the ERP user side, so understands the challenges ERP users can encounter with their systems – and where real gains can be made.

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.

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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.

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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.