A Winning Formula To Make Customers Happy

Jack Dyson

Is there a formula for happiness?

SAP’s Lisa James certainly thinks so, at least when it comes to customer service. According to James’s on-demand session for SAP Hybris LIVE, the secret to making your customers happy can be expressed in a simple formula:

HC = M(OE + PE + RI) – S

(Omnichannel Engagements + Personalized Interactions + Relevant Insights, All-Enhanced Mobility, Minus Silos = Happy Customers)

By following these simple rules, you can turn customer service from something that is sometimes thought of as a necessary evil to one that actually makes customers feel good about their experience. This is especially true now that customer service agents are more than simple reactive problem solvers, and are involved in the customer journey long before the purchase is made.

First up is omnichannel engagement. You already know that omnichannel capability is essential for a modern business, but most companies still only offer customer service on three channels – phone, email, and live text chat. If you’re offering service on only those channels, you’ve shut yourself off from several avenues of communication.

Customers want to interact with your company on their terms – if they have a question about a how-to video they’ve seen on YouTube, they expect you to be there to help in that very same channel. They don’t want to have to disengage from one channel and choose another. Remember: your customers are present in all kinds of different channels, and your business needs to be right there with them.

Step two on the path to happiness is personalized interactions. Think personalized experiences are only relevant for marketing purposes? Think again! One thing guaranteed to annoy customers is when they have to explain to an agent which product or service they’re using, and whether they have already tried to solve their particular problem.

An agent should have all the relevant information at their fingertips, whether it’s customer profiles, order and service history, or any customer feedback, so they can use this accumulated knowledge to offer a truly contextual service.

Next is the importance of relevant insights. To keep your service organization running smoothly, managers and agents need access to the right insights. Managers need detailed analytics, so they can see what service issues are in the workflow and which are in escalation, as well as the average turnaround time for support tickets.

Meanwhile, it should be easy for agents to get access to all the information they need to solve a problem. It may be that one support team has accumulated some particularly relevant information, so that information should be in a knowledge base ready for anyone else to use. Agents also need the tools to communicate quickly and easily with their peers, to get the answers they need and cut down on the time it takes to assist customers.

And the last thing your organization needs? Mobility. Every member of your service organization should be able to address customer needs from wherever they are using their device. If an agent onsite with a customer can perform tasks such as ordering spare parts then and there, it helps get the job done as efficiently as possible.

Meanwhile, managers should be able to see how customer service requests are progressing and take any necessary action wherever they happen to be. Mobility brings flexibility, and a flexible environment is far more likely to adapt to customer needs and keep them happy.

So, we’ve discussed what your organization needs to add in order to build momentum on the path to customer happiness, but there’s also something that needs to be taken away. You guessed it – it’s silos. Silos are the enemy of customer happiness.

Your service teams need to be connected to the entire enterprise. There’s no quicker way to frustrated customers than having a service organization that doesn’t know what’s happening in sales, marketing, or billing – especially when it’s dealing with contracts, warranties, or parts ordering. “I need to connect you to someone else,” and “I’ll need to get back to you,” should be consigned to history.

In short, your business needs to act as one company across all platforms and channels to deliver a great customer experience at every touchpoint. The result? Happy customers.

Click here to watch the full presentation of “Make Customers Happy.”

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Jack Dyson

About Jack Dyson

Jack Dyson is head of Digital Content Strategy for SAP Hybris.

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.

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Daniel Newman

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

When Good Is Good Enough: Guiding Business Users On BI Practices

Ina Felsheim

Image_part2-300x200In Part One of this blog series, I talked about changing your IT culture to better support self-service BI and data discovery. Absolutely essential. However, your work is not done!

Self-service BI and data discovery will drive the number of users using the BI solutions to rapidly expand. Yet all of these more casual users will not be well versed in BI and visualization best practices.

When your user base rapidly expands to more casual users, you need to help educate them on what is important. For example, one IT manager told me that his casual BI users were making visualizations with very difficult-to-read charts and customizing color palettes to incredible degrees.

I had a similar experience when I was a technical writer. One of our lead writers was so concerned with readability of every sentence that he was going through the 300+ page manuals (yes, they were printed then) and manually adjusting all of the line breaks and page breaks. (!) Yes, readability was incrementally improved. But now any number of changes–technical capabilities, edits, inserting larger graphics—required re-adjusting all of those manual “optimizations.” The time it took just to do the additional optimization was incredible, much less the maintenance of these optimizations! Meanwhile, the technical writing team was falling behind on new deliverables.

The same scenario applies to your new casual BI users. This new group needs guidance to help them focus on the highest value practices:

  • Customization of color and appearance of visualizations: When is this customization necessary for a management deliverable, versus indulging an OCD tendency? I too have to stop myself from obsessing about the font, line spacing, and that a certain blue is just a bit different than another shade of blue. Yes, these options do matter. But help these casual users determine when that time is well spent.
  • Proper visualizations: When is a spinning 3D pie chart necessary to grab someone’s attention? BI professionals would firmly say “NEVER!” But these casual users do not have a lot of depth on BI best practices. Give them a few simple guidelines as to when “flash” needs to subsume understanding. Consider offering a monthly one-hour Lunch and Learn that shows them how to create impactful, polished visuals. Understanding if their visualizations are going to be viewed casually on the way to a meeting, or dissected at a laptop, also helps determine how much time to spend optimizing a visualization. No, you can’t just mandate that they all read Tufte.
  • Predictive: Provide advanced analytics capabilities like forecasting and regression directly in their casual BI tools. Using these capabilities will really help them wow their audience with substance instead of flash.
  • Feature requests: Make sure you understand the motivation and business value behind some of the casual users’ requests. These casual users are less likely to understand the implications of supporting specific requests across an enterprise, so make sure you are collaborating on use cases and priorities for substantive requests.

By working with your casual BI users on the above points, you will be able to collectively understand when the absolute exact request is critical (and supports good visualization practices), and when it is an “optimization” that may impact productivity. In many cases, “good” is good enough for the fast turnaround of data discovery.

Next week, I’ll wrap this series up with hints on getting your casual users to embrace the “we” not “me” mentality.

Read Part One of this series: Changing The IT Culture For Self-Service BI Success.

Follow me on Twitter: @InaSAP

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Human Skills for the Digital Future

Dan Wellers and Kai Goerlich

Technology Evolves.
So Must We.


Technology replacing human effort is as old as the first stone axe, and so is the disruption it creates.
Thanks to deep learning and other advances in AI, machine learning is catching up to the human mind faster than expected.
How do we maintain our value in a world in which AI can perform many high-value tasks?


Uniquely Human Abilities

AI is excellent at automating routine knowledge work and generating new insights from existing data — but humans know what they don’t know.

We’re driven to explore, try new and risky things, and make a difference.
 
 
 
We deduce the existence of information we don’t yet know about.
 
 
 
We imagine radical new business models, products, and opportunities.
 
 
 
We have creativity, imagination, humor, ethics, persistence, and critical thinking.


There’s Nothing Soft About “Soft Skills”

To stay ahead of AI in an increasingly automated world, we need to start cultivating our most human abilities on a societal level. There’s nothing soft about these skills, and we can’t afford to leave them to chance.

We must revamp how and what we teach to nurture the critical skills of passion, curiosity, imagination, creativity, critical thinking, and persistence. In the era of AI, no one will be able to thrive without these abilities, and most people will need help acquiring and improving them.

Anything artificial intelligence does has to fit into a human-centered value system that takes our unique abilities into account. While we help AI get more powerful, we need to get better at being human.


Download the executive brief Human Skills for the Digital Future.


Read the full article The Human Factor in an AI Future.


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Dan Wellers

About Dan Wellers

Dan Wellers is founder and leader of Digital Futures at SAP, a strategic insights and thought leadership discipline that explores how digital technologies drive exponential change in business and society.

Kai Goerlich

About Kai Goerlich

Kai Goerlich is the Chief Futurist at SAP Innovation Center network His specialties include Competitive Intelligence, Market Intelligence, Corporate Foresight, Trends, Futuring and ideation.

Share your thoughts with Kai on Twitter @KaiGoe.heif Futu

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Finance And HR: Friends Or Foes? Shifting To A Collaborative Mindset

Richard McLean

Part 1 in the 3-part “Finance and HR Collaboration” series

In my last blog, I challenged you to think of collaboration as the next killer app, citing a recent study by Oxford Economics sponsored by SAP. The study clearly explains how corporate performance improves when finance actively engages in collaboration with other business functions.

As a case in point, consider finance and HR. Both are being called on to work more collaboratively with each other – and the broader business – to help achieve a shared vision for the company. In most organizations, both have undergone a transformation to extend beyond operational tasks and adopt a more strategic focus, opening the door to more collaboration. As such, both have assumed three very important roles in the company – business partner, change agent, and steward. In this post, I’ll illustrate how collaboration can enable HR and finance to be more effective business partners.

Making the transition to focus on broader business objectives

My colleague Renata Janini Dohmen, senior vice president of HR for SAP Asia Pacific Japan, credits a changing mindset for both finance and HR as key to enabling the transition away from our traditional roles to be more collaborative. She says, “For a long time, people in HR and finance were seen as opponents. HR was focused on employees and how to motivate, encourage, and cheer on the workforce. Finance looked at the numbers and was a lot more cautious and possibly more skeptical in terms of making an investment. Today, both areas have made the transition to take on a more holistic perspective. We are pursuing strategies and approaching decisions based on what delivers the best return on investment for the company’s assets, whether those assets are monetary or non-monetary. This mindset shift plays a key role in how finance and HR execute the strategic imperatives of the company,” she notes.

Viewing joint decisions from a completely different lens

I agree with Renata. This mindset change has certainly impacted the way I make decisions. If I’m just focused on controlling costs and assessing expenditures, I’ll evaluate programs and ideas quite differently than if I’m thinking about the big picture.

For example, there’s an HR manager in our organization who runs Compensation and Benefits. She approaches me regularly with great ideas. But those ideas cost money. In the past, I was probably more inclined to look at those conversations from a tactical perspective. It was easy for me to simply say, “No, we can’t afford it.”

Now I look at her ideas from a more strategic perspective. I think, “What do we want our culture to be in the years ahead? Are the benefits packages she is proposing perhaps the right ones to get us there? Are they family friendly? Are they relevant for people in today’s world? Will they make us an employer of choice?” I quite enjoy the rich conversations we have about the impact of compensation and benefits design on the culture we want to create. Now, I see our relationship as much more collaborative and jointly invested in attracting and retaining the best people who will ultimately deliver on the company strategy. It’s a completely different lens.

Defining how finance and HR align to the company strategy

Renata and I believe that greater collaboration between finance and HR is a critical success factor. How can your organization achieve this shift? “Once the organization has clearly defined what role finance and HR must play and how they fundamentally align to the company strategy, then it’s more natural to structure them in a way to support such transformation,” Renata explains.

Technology plays an important role in our ability to successfully collaborate. Looking back, finance and HR were heavily focused on our own operational areas because everything we did tended to consume more time – just keeping the lights on and taking care of our basic responsibilities. Now, through a more efficient operating model with shared services, standard operating procedures, and automation, we can both be more business-focused and integrated. As a result, we’re able to collaborate in more meaningful ways to have a positive impact on business outcomes.

In our next blog, we’ll look at how finance and HR can work together as agents of change.

For a deeper dive, download the Oxford Economics study sponsored by SAP.

Follow SAP Finance online: @SAPFinance (Twitter)LinkedIn | FacebookYouTube

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Richard McLean

About Richard McLean

Richard McLean, regional CFO for SAP Asia Pacific Japan, oversees all key finance and administrative functions for field and regional headquarters, supporting more than 16,000 employees. He has more than 20 years of experience in senior finance roles with leading global companies across a range of industries, including financial services, investment banking, automotive, and IT. He joined SAP in 2008.