Predictive Analytics: How To Forecast The Future? [Infographic]

Elizabeth Gaines

If Only They’d Had Predictive Analytics

Predicting the future is tricky business – there’s always the risk that time will exposure your folly. But with every new year, pundits and authorities continue to step out on thin ice and announce their predictions for the future.

While chance alone will favor some forecasts, there are always those that are far off the mark. Take, for instance, these famously false predictions on the future of technology:

1876:  This ‘telephone’ has too many shortcomings to be seriously considered as a means of communication.  — from an internal Western Union memo. 

1880:  Everyone acquainted with the subject will recognize it as a conspicuous failure.  — Henry Morton, President of the Stevens Institute of Technology, passing judgment on Thomas Edison’s light bulb. 

1895: Heavier-than-air flying machines are impossible.  — Lord Kelvin, President of the British Royal Society, mathematical physicist and engineer. 

1909:   That the automobile has practically reached the limit of its development is suggested by the fact that during the past year no improvements of a radical nature have been introduced.  —  “Scientific American”,  Jan. 2, 1909. 

1923:  There is no likelihood man can ever tap the power of the atom. — Robert Millikan, winner of the Nobel Prize for Physics. 

1926:  While theoretically and technically television may be feasible, commercially and financially it is an impossibility, a development of which we need waste little time dreaming. — Lee De Forest, U.S. inventor and radio pioneer commenting on the future of television.

1936:  A rocket will never be able to leave the Earth’s atmosphere.  — The New York Times. 

1943:  I think there is a world market for maybe five computers.  — Thomas Watson, Chairman of IBM.

1961:  There is practically no chance communications space satellites will be used to provide better telephone, telegraph, television or radio service inside the United States.  — T.A.M. Craven, U.S. Federal Communications Commissioner.

Predictive Power: Then and Now

How could so many experts in their field be so sure and yet so wrong? To be fair, many of the sources quoted above were speaking in terms of what was likely in their present (or, at least, their near-term future.)  And all of them pre-date the powerful new possibilities for predictive insight available to today’s businesses.

Predictive Analytics: How To Forecast The Future?In a recent benchmark study by Ventana Research, 86% of those surveyed assert that predictive analytics will have a major positive impact on their business, and 68% of the participants currently using predictive analytics report they have already realized a competitive advantage.

So How Are Companies Using Predictive Analytics?

Early adopters of predictive analytics have taken a “customer first” approach to predictive analytics by focusing on new ways to generate revenue and increase customer satisfaction.

43% of the organizations who participated in the study are using the results of predictive analytics to make product recommendations and offers designed to up-sell or cross-sell their current customers. By combining customer information with marketing and sales data, they Predictive Analytics: How To Forecast The Future?are able to tap into new trends and opportunities as they emerge.

What’s more, the 40% of companies who are now evaluating or planning to incorporate social media data in their analyses are moving even closer to the goal of real-time insight into customer behavior.

Top 5 Things Predictive Analytics Can Do For You

Predictive analytics can give your organization increased insight across mission-critical areas of the business, from marketing and customer service to supply chain and human resources.

Think of it as x-ray vision giving you the power to see through walls and grasp the bigger picture. Using predictive analytics you can:

1.) Instantly predict market trends and customer needs

2.) Create customized offers for each segment and channel

3.) Predict how market-price volatility will impact your production plans

4.) Foresee changes in demand and supply across your entire supply chain

5.) Proactively manage your workforce

Are You still Steering Through The Rear-View Mirror?

The classic approach to business intelligence has been limited by both the available data and analytical tools. While reports were useful for understanding past business performance and drill-down analyses might unveil important correlations, they remained focused on what was visible in the rear-view mirror.

Predictive modeling takes a forward-looking perspective, giving you a view into what might be ahead. Combine that future perspective with real-time analytical capabilities and now you can move out of the past and into the future with the ability to predict and take action ahead of the curve.

This infographic brings the power of predictive analytics into sharp focus:

Transform Your Future with Predictive Insight

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About Elizabeth Gaines

Elizabeth Gaines is Senior Director of Marketing at SAP and editor of Business Innovation from SAP. Follow @eagaines on Twitter or connect with her on LinkedIn or Google+.

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13 Scary Statistics On Employee Engagement [INFOGRAPHIC]

Jacob Shriar

There is a serious problem with the way we work.

Most employees are disengaged and not passionate about the work they do. This is costing companies a ton of money in lost productivity, absenteeism, and turnover. It’s also harmful to employees, because they’re more stressed out than ever.

The thing that bothers me the most about it, is that it’s all so easy to fix. I can’t figure out why managers aren’t more proactive about this. Besides the human element of caring for our employees, it’s costing them money, so they should care more about fixing it. Something as simple as saying thank you to your employees can have a huge effect on their engagement, not to mention it’s good for your level of happiness.

The infographic that we put together has some pretty shocking statistics in it, but there are a few common themes. Employees feel overworked, overwhelmed, and they don’t like what they do. Companies are noticing it, with 75% of them saying they can’t attract the right talent, and 83% of them feeling that their employer brand isn’t compelling. Companies that want to fix this need to be smart, and patient. This doesn’t happen overnight, but like I mentioned, it’s easy to do. Being patient might be the hardest thing for companies, and I understand how frustrating it can be not to see results right away, but it’s important that you invest in this, because the ROI of employee engagement is huge.

Here are 4 simple (and free) things you can do to get that passion back into employees. These are all based on research from Deloitte.

1.  Encourage side projects

Employees feel overworked and underappreciated, so as leaders, we need to stop overloading them to the point where they can’t handle the workload. Let them explore their own passions and interests, and work on side projects. Ideally, they wouldn’t have to be related to the company, but if you’re worried about them wasting time, you can set that boundary that it has to be related to the company. What this does, is give them autonomy, and let them improve on their skills (mastery), two of the biggest motivators for work.

Employees feel overworked and underappreciated, so as leaders, we need to stop overloading them to the point where they can’t handle the workload.

2.  Encourage workers to engage with customers

At Wistia, a video hosting company, they make everyone in the company do customer support during their onboarding, and they often rotate people into customer support. When I asked Chris, their CEO, why they do this, he mentioned to me that it’s so every single person in the company understands how their customers are using their product. What pains they’re having, what they like about it, it gets everyone on the same page. It keeps all employees in the loop, and can really motivate you to work when you’re talking directly with customers.

3.  Encourage workers to work cross-functionally

Both Apple and Google have created common areas in their offices, specifically and strategically located, so that different workers that don’t normally interact with each other can have a chance to chat.

This isn’t a coincidence. It’s meant for that collaborative learning, and building those relationships with your colleagues.

4.  Encourage networking in their industry

This is similar to number 2 on the list, but it’s important for employees to grow and learn more about what they do. It helps them build that passion for their industry. It’s important to go to networking events, and encourage your employees to participate in these things. Websites like Eventbrite or Meetup have lots of great resources, and most of the events on there are free.

13 Disturbing Facts About Employee Engagement [Infographic]

What do you do to increase employee engagement? Let me know your thoughts in the comments!

Did you like today’s post? If so you’ll love our frequent newsletter! Sign up here and receive The Switch and Shift Change Playbook, by Shawn Murphy, as our thanks to you!

This infographic was crafted with love by Officevibe, the employee survey tool that helps companies improve their corporate wellness, and have a better organizational culture.


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Supply Chain Fraud: The Threat from Within

Lindsey LaManna

Supply chain fraud – whether perpetrated by suppliers, subcontractors, employees, or some combination of those – can take many forms. Among the most common are:

  • Falsified labor
  • Inflated bills or expense accounts
  • Bribery and corruption
  • Phantom vendor accounts or invoices
  • Bid rigging
  • Grey markets (counterfeit or knockoff products)
  • Failure to meet specifications (resulting in substandard or dangerous goods)
  • Unauthorized disbursements

LSAP_Smart Supply Chains_graphics_briefook inside

Perhaps the most damaging sources of supply chain fraud are internal, especially collusion between an employee and a supplier. Such partnerships help fraudsters evade independent checks and other controls, enabling them to steal larger amounts. The median loss from fraud committed
by a single thief was US$80,000, according to the Association of Certified Fraud Examiners (ACFE).

Costs increase along with the number of perpetrators involved. Fraud involving two thieves had a median loss of US$200,000; fraud involving three people had a median loss of US$355,000; and fraud with four or more had a median loss of more than US$500,000, according to ACFE.

Build a culture to fight fraud

The most effective method to fight internal supply chain theft is to create a culture dedicated to fighting it. Here are a few ways to do it:

  • Make sure the board and C-level executives understand the critical nature of the supply chain and the risk of fraud throughout the procurement lifecycle.
  • Market the organization’s supply chain policies internally and among contractors.
  • Institute policies that prohibit conflicts of interest, and cross-check employee and supplier data to uncover potential conflicts.
  • Define the rules for accepting gifts from suppliers and insist that all gifts be documented.
  • Require two employees to sign off on any proposed changes to suppliers.
  • Watch for staff defections to suppliers, and pay close attention to any supplier that has recently poached an employee.

About Lindsey LaManna

Lindsey LaManna is Social and Reporting Manager for the Digitalist Magazine by SAP Global Marketing. Follow @LindseyLaManna on Twitter, on LinkedIn or Google+.


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Data Analysts And Scientists More Important Than Ever For The Enterprise

Daniel Newman

The business world is now firmly in the age of data. Not that data wasn’t relevant before; it was just nowhere close to the speed and volume that’s available to us today. Businesses are buckling under the deluge of petabytes, exabytes, and zettabytes. Within these bytes lie valuable information on customer behavior, key business insights, and revenue generation. However, all that data is practically useless for businesses without the ability to identify the right data. Plus, if they don’t have the talent and resources to capture the right data, organize it, dissect it, draw actionable insights from it and, finally, deliver those insights in a meaningful way, their data initiatives will fail.

Rise of the CDO

Companies of all sizes can easily find themselves drowning in data generated from websites, landing pages, social streams, emails, text messages, and many other sources. Additionally, there is data in their own repositories. With so much data at their disposal, companies are under mounting pressure to utilize it to generate insights. These insights are critical because they can (and should) drive the overall business strategy and help companies make better business decisions. To leverage the power of data analytics, businesses need more “top-management muscle” specialized in the field of data science. This specialized field has lead to the creation of roles like Chief Data Officer (CDO).

In addition, with more companies undertaking digital transformations, there’s greater impetus for the C-suite to make data-driven decisions. The CDO helps make data-driven decisions and also develops a digital business strategy around those decisions. As data grows at an unstoppable rate, becoming an inseparable part of key business functions, we will see the CDO act as a bridge between other C-suite execs.

Data skills an emerging business necessity

So far, only large enterprises with bigger data mining and management needs maintain in-house solutions. These in-house teams and technologies handle the growing sets of diverse and dispersed data. Others work with third-party service providers to develop and execute their big data strategies.

As the amount of data grows, the need to mine it for insights becomes a key business requirement. For both large and small businesses, data-centric roles will experience endless upward mobility. These roles include data anlysts and scientists. There is going to be a huge opportunity for critical thinkers to turn their analytical skills into rapidly growing roles in the field of data science. In fact, data skills are now a prized qualification for titles like IT project managers and computer systems analysts.

Forbes cited the McKinsey Global Institute’s prediction that by 2018 there could be a massive shortage of data-skilled professionals. This indicates a disruption at the demand-supply level with the needs for data skills at an all-time high. With an increasing number of companies adopting big data strategies, salaries for data jobs are going through the roof. This is turning the position into a highly coveted one.

According to Harvard Professor Gary King, “There is a big data revolution. The big data revolution is that now we can do something with the data.” The big problem is that most enterprises don’t know what to do with data. Data professionals are helping businesses figure that out. So if you’re casting about for where to apply your skills and want to take advantage of one of the best career paths in the job market today, focus on data science.

I’m compensated by University of Phoenix for this blog. As always, all thoughts and opinions are my own.

For more insight on our increasingly connected future, see The $19 Trillion Question: Are You Undervaluing The Internet Of Things?

The post Data Analysts and Scientists More Important Than Ever For the Enterprise appeared first on Millennial CEO.


About Daniel Newman

Daniel Newman serves as the Co-Founder and CEO of EC3, a quickly growing hosted IT and Communication service provider. Prior to this role Daniel has held several prominent leadership roles including serving as CEO of United Visual. Parent company to United Visual Systems, United Visual Productions, and United GlobalComm; a family of companies focused on Visual Communications and Audio Visual Technologies. Daniel is also widely published and active in the Social Media Community. He is the Author of Amazon Best Selling Business Book "The Millennial CEO." Daniel also Co-Founded the Global online Community 12 Most and was recognized by the Huffington Post as one of the 100 Business and Leadership Accounts to Follow on Twitter. Newman is an Adjunct Professor of Management at North Central College. He attained his undergraduate degree in Marketing at Northern Illinois University and an Executive MBA from North Central College in Naperville, IL. Newman currently resides in Aurora, Illinois with his wife (Lisa) and his two daughters (Hailey 9, Avery 5). A Chicago native all of his life, Newman is an avid golfer, a fitness fan, and a classically trained pianist

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Is Digital Business the Answer to the Climate Crisis?

Kai Goerlich

By Kai Goerlich, Michael Goldberg, Will Ritzrau

Among the studies of climate change that indict human inventions and activities for the ecological damage done to the earth, there is a hopeful glimmer that digital business can bend the curve to reduce carbon emissions. According to #SMARTer2030, a study by the Global e-Sustainability Initiative (GeSI) and Accenture Strategy, it is possible, during the next 15 years, to hold worldwide carbon emissions to 2015 levels by digitizing business processes and applying data to decisions about resource use. That would represent a valuable contribution, according to the research, in decoupling economic growth and greenhouse gas emissions, thus helping to solve the tradeoff between the two.

SAP looked at a subset of companies in six major industries that are currently using business software such as enterprise resource planning, data analytics, supply chain, logistics, production planning, resource optimization, and remote access. Then SAP did their own analysis to estimate how applying these technologies to emerging digital business models in these industries globally would contribute to reducing carbon emissions.

The “Business as Usual” Scenario

The heat is on. The Intergovernmental Panel on Climate Change, the world body established in 1988 to assess the impact of humans on the climate, notes in its most recent report that “business as usual” practices would lead to temperature increases between 2.6°C and 4.8°C by the end of the century—beyond our expected ability to reverse the damage.

More IT = Less CO2

By rolling out information and communications technologies (ICT) across the global economy, total emissions of carbon dioxide equivalent could be cut 12.1 gigatons by 2030 and help forestall temperature increases, GeSI research has concluded. GeSI is an ICT industry association working with, among others, the United Nations Framework Convention on Climate Change to improve its members’ sustainability performance and promote technologies that foster sustainable development.


About Kai Goerlich

Futurist and resource optimization thought leader

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