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Predictive and Proactive: Leveraging Advanced Analytics

Joseph Dennis Kelly

For centuries, humans traveled the Earth’s seas, guided only by their experience in reading the stars, the temperature, and the currents. Rarely could they anticipate the unfolding often life-and-death situations they were steering into.

Today, our ships travel the world guided by technology that scans present conditions and reads evolving water, weather, and seismic patterns. With such insight, captains can safely guide their vessels to any global destination.

Seeing Beyond Yesterday

Rarely can today’s business decision makers get the same type of insight. Rarely can they lead with the same confidence. Every day, unanticipated interruptions shake the most seemingly stable organizations. Markets rise and fall unexpectedly; supply chains break and prove unreliable; and political and economic systems are collapsing and changing our business and social landscapes.

It’s time for decision makers to stop wasting time analyzing last year’s results. This outdated data only shows yesterday’s shortfalls, gaps, and strengths. Such information fails to suggest future patterns. Leaders are left in the dark, unable to make accurate decisions and predict achievable outcomes.

Every day, more people are using mobile devices. And a larger number are relying on digital communications to carry out their daily lives. To help organizations leverage this Big Data to perform better and improve services to customers, technology innovators have developed a new generation of software analytics.

These advanced analytics solutions provide leaders with the insight to gauge the patterns driving business success. InformationWeek Executive Editor Doug Henshen explains this shift: “the old practice of following the money – using lagging financial indicators to guide a company’s decisions – [is] giving way to the forward-looking approach of following the data” (p.4).

Propelling Forward

In running advanced analytics software, organizations can see more than a simple trend analysis. They are looking beyond the structured data stored in relational and SQL databases. And they are tapping into open source-and-NoSQL data (aka Big Data) to mine exabytes of real-time tweets, status updates, and blog posts. It’s from this unstructured data that decision makers can distill the current and evolving patterns of thought and behavior affecting their customers, stakeholders, suppliers, partners, employees, and competitors. What’s these mean for organizations?

Retailers can track style trends to determine which sweaters to stock during the upcoming holidays. Car dealers can predict – using data on energy, economic, and employment news – which types of vehicles consumers will more likely want. Travel agents can see – from traditional and online media placements, magazine features, travel bloggers, and commercial development news – where customers are more likely to vacation. In fact, any organization in any industry can better understand the dynamics driving their supply, demand, and value chains. How? By supercharging their listening with the most advanced analytics software.

Charting the Depths

Why are online sales suddenly dropping? What are Facebookers and Twitterers saying about your company? How can your company become the business world’s next one-to-watch phenom? Is your organization effectively differentiating itself from its competitors? Which approaches are most effective for nurturing sustainable relationships with new customers, stakeholders, partners, and suppliers?

Advanced analytics cuts through the Web’s clutter. It reveals patterns that even the most astute researcher can easily miss. How? Advanced analytics tap into “real-time information from sensors” write Thomas H. Davenport, Paul Barth, and Randy Bean, “…at a more granular level…” And from this, the authors say, organizations better know how to “respond to changes in usage patterns as they occur.”

It is these responses which can mean the difference between a lost sale or a PR fiasco and a satisfied customer or a marketing homerun. What’s the key? Tracking customer sentiment on Twitter and market shifts worldwide. In these nuggets of data are the treasures sought. The art is looking at the patters and identifying the collapsing markets, new gaps, and emerging opportunities.

Leaders need to “embrace the viewpoint of all sectors,” says Public Squared’s Rich Tafel, “and see the bigger vision for all.” Only from this can they think differently and use this information to respond proactively. This is the crucial factor in turning a data pattern into actionable information – into strategies, tactics, and processes that enable their organization to create the disruptions which transform industries, marketplaces, and economies.

Is your company running advanced analytics? If so, what advantages has it been getting from its solutions? Has it helped leaders identify new business opportunities and make more accurate predictions? How could your analytics solutions better meet your needs?

http://blogs.sap.com/innovation

 

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About Joseph Dennis Kelly

Joseph Dennis Kelly previously served as a senior editor/writer on SAP’s Global Content Team and as the executive editor of PMI's Knowledge Center. He is a senior-level editorial and communication specialist with more than twenty years experience in Strategy Communications, Marketing Communications, Crisis Communications, Editorial Governance, and Editorial Operations.

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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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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Live Businesses Deliver a Personal Customer Experience Without Losing Trust

Lori Mitchell-Keller, Brian Walker, Johann Wrede, Polly Traylor, and Stephanie Overby

Trust is the foundation of customer relationships. People who don’t trust your business are not likely to become or remain customers.

The trust relationship has taken some big hits lately. Beloved brands like Chipotle and Toyota have seen customer trust ebb due to public perception of their roles in safety issues. Consumers continue to experience occasional data breaches from large brands.

Yet these traditional threats have short half-lives. The latest threat could last forever.

Most customers claim they want personalization across all the channels in which they interact with companies. Such personalization should create long-term loyalty by creating a new level of intimacy in the relationship.

sap_Q216_digital_double_feature3_images2But that intimacy comes at a high price. For personalization to work, brands need to gather unprecedented amounts of personal information about customers and continue to do so over the course of the relationship. Customers are already wary: 80% of consumers have updated their privacy settings recently, according to an article in VentureBeat.

Companies must get personalization right. If they do, customers are more likely to purchase again and less likely to switch to a competitor. Personalization is also an important step toward the holy grail of digital transformation: becoming a Live Business, capable of meeting customers with relevant and customized offers, products, and services in real time or in the moments of customers’ choosing.

When done wrong, personalization can cause customers to feel that they’ve been deceived and that their privacy has been violated. It can also turn into an uncomfortable headline. When Target used its database of customer purchases to send coupons for diapers to the home of an expectant teen before her father knew about the pregnancy, its action backfired. The incident became the centerpiece of a New York Times story on Target’s consumer intelligence gathering practices and privacy.

Straddling the Line of Trust

Customers can’t define the line between helpful and creepy, but they know it when they see it.

Research conducted by RichRelevance in 2015 made something abundantly clear: what marketers think is cool may be seen as creepy by consumers. For example, facial-recognition technology that identifies age and gender to target advertisements on digital screens is considered creepy by 73% of people surveyed. Yet consumers were happy about scanning a product on their mobile device to see product reviews and recommendations for other items they might like, the survey revealed. Here’s what else resonates as creepy or cool when it comes to digital engagement with consumers, courtesy of RichRelevance and Edelman Berland (now called Edelman).

Creepy

  • Shoppers are put off when salespeople greet them by name because of mobile phone signals or know their spending habits because of facial-recognition software.
  • Dynamic pricing, such as a digital display showing a lower price “just for you,” also puts shoppers off.
  • When brands collect data on consumers without their knowledge, 83% of people consider it an invasion of privacy, according to RichRelevance’s research, and 65% feel the same way about ads that follow them from Web site to Web site (retargeting).

Cool

  • Shoppers like mobile apps with interactive maps that efficiently guide them to products in the store.
  • They also like when their in-store location triggers a coupon or other promotion for a product nearby.
  • When a Web site reminds the consumer of past purchases, a majority of shoppers like it.

There are no hard-and-fast rules about which personalization tactics are creepy and which are cool, but trust is particularly threatened in face-to-face interactions. Nobody minds much if Amazon sends product recommendations through a computer, but when salespeople approach customers like a long-lost friend based on information collected without the customer’s knowledge or permission, the violation of trust feels much more personal and emotional. The stage is set for an angry, embarrassed customer to walk out  the door, forever.

sap_Q216_digital_double_feature3_images3It doesn’t help that the limits of trust shift constantly as social media tempts us to reveal more and more about ourselves and as companies’ data collection techniques continue to improve. It’s easy to cross the line from helpful to creepy or annoying (see Straddling the Line of Trust).

Online, customers are similarly choosy about personalization. For example, when online shoppers are simply looking at a product category, ads that matched their prior Web-browsing interests are ineffective, an MIT study reports. Yet after consumers have visited a review site to seek out information and are closer to a purchase, personalized content is more effective than generic ads.

Personalization Requires a Live Business

Yet the limits of trust are definitely shifting toward more personalization, not less. Customers already enjoy frictionless personalized experiences with digital-native companies like Uber, and they are applying those heightened expectations to all companies. For example, 91% of customers want to pick up where they left off when they switch between channels, according to Aspect research. And personalization is helpful when you receive recommendations for products that you would like based on previous in-store or online purchases.

sap_Q216_digital_double_feature3_images-0004Customers also want their interactions to be live—or in the moment they choose. Fulfilling that need means that companies must become Live Businesses, capable of creating a technological infrastructure that allows real-time interactions and that allows the entire organization—its structure, people, and processes—to respond to customers in all the moments that matter.

Coordinating across channels and meeting customers in the right moments with personalized interactions will become critical as the digital economy matures and customer expectations rise. For instance, when customers air complaints about a brand on social media, 72% expect a response within an hour, according to consulting firm Bain & Company. Meanwhile, an Accenture survey found that nearly 60% of consumers want real-time promotions; 48% like online reminders to order items that they might have run out of; and 51% like the idea of a one-click checkout, where they can skip payment method or shipping forms because the retailer has saved their preferences. Those types of services build trust, showing that companies care enough to understand their customers and send offers or information that save them time, money, or both.

So while trust is difficult to earn, once you’ve earned it and figured out how to maintain it, you can have customers for life—as long as you respect the shifting boundaries.

“Do customers think the company is truly acting with their best interests at heart, or is it just trying to feed the quarterly earnings beast?” asks Donna Peeples, a customer experience expert and the former chief customer experience officer at AIG. “Customer data should be accurate and timely, the company should be transparent about how the data is being used, and it should give customers control over data collection.”

sap_Q216_digital_double_feature3_images-0005How to Earn Trust for a Live Business

Despite spending US$600 billion on online purchases, U.S. consumers are concerned with transaction privacy, the 2015 Consumer Trust Survey from CA Security Council reveals. These concerns will become acute as Live Businesses make personalization across channels a reality.

Here are some ways to improve trust while moving forward with omnichannel personalization.

  • Determine the value of trust. Customers want to know what value they are getting in exchange for their data. An Accenture study found that the majority of consumers in the United States and the United Kingdom are willing to have trusted retailers use some of their personal data in order to present personalized and targeted products, services, recommendations, and offers.
    “If customers get substantial discounts or offers that are appealing to them, they are often more than willing to make that trade-off,” says Tom Davenport, author of Big Data at Work: Dispelling the Myths, Uncovering the Opportunities. “But a lot of companies are cheap. They use the information but don’t give anything back. They make offers that aren’t particularly relevant or useful. They don’t give discounts for loyalty. They’re just trying to sell more.”
  • Let customers make the first move. Customers who voluntarily give up data are more likely to trust personalization across the channels where they do business. Mobile apps are a great way to invite customers to share more data in a more intimate relationship that they control. By entering the data they choose into the app, customers won’t be annoyed by personalization that’s built around it.
    For example, a leading luxury retailer’s sales associates may offer customers their favorite beverages based on information they entered into the app about their interests and preferences.
  • Simplify data collection and usage policies. Slapping a dense data- use policy written in legalese on the corporate website does little to earn customers’ trust. Instead, companies should think about the customer data transaction, such as what information the customer is giving them, how they’re using it, and what the result will be, and describe it as simply as possible.
    “Try to describe it in words so simple that your grandmother can understand it. And then ask your grandmother if it’s reasonable,” suggests Elea McDonnell Feit, assistant professor of marketing at Drexel University’s LeBow College of Business. “If your grandmother can’t understand what’s happening, you’ve got a problem.”
    The use of data should be totally transparent in the interaction itself, adds Feit. “When a company uses data to customize a service or offering to a customer, the customer should be able to figure out where the company got the data and immediately see how the company is providing added value to the customers by using the data,” Feit says.
  • Create trust through education. Yes, bombarding customers with generic offers and pushing those offers across the different Web sites they visit may boost profits over the short term, but customers will eventually become weary and mistrustful. To create trust that lasts and that supports personalization, educate the customers.

Procter & Gamble’s (P&G’s) Mean Stinks campaign for Secret deodorant encourages girl-to-girl anti-bullying posts on Twitter, Facebook, and Instagram. The pages let participants send apologies to those they have bullied; view videos; and share tips, tools, and challenges with their peers.

P&G has said that participation in Mean Stinks has helped drive market share increases for the core Secret brand as well as the specific line of deodorant promoted by the effort. Offering education without pushing products or services creates a sense that companies are putting customers’ interests before their own, which is one of the bedrock elements of trust. Opting in to personalization seems less risky to customers if they perceive that companies have built up a reserve of value and trust.

“Companies that do personalization well demonstrate that they care, respect customers’ time, know and understand their customers and their needs and interests,” says Peeples. “It also reinforces that interactions are not merely transactions but opportunities to build a long-term relationship with that customer.”

Laying the Foundation for Live, Personalized Omnichannel Processes

sap_Q216_digital_double_feature3_images-0006Creating a personalized omnichannel strategy that balances trust and business goals starts with knowing the customer. This can happen only when multiple aspects of your business are coordinated in a live fashion. But marketers today struggle to collect the kind of data that could drive more meaningful connections with customers. In an Infogroup survey of more than 500 marketers, only 21% said they are “very confident in the accuracy and completeness of their customer profiles.” A little over half of respondents said they aren’t collecting enough data overall.

Collecting enough of the right types of data requires more holistic data-collection techniques:

  • Take advantage of the lower costs for processing and storing terabytes of data, and develop a data strategy that combines and crunches all the customer data points needed to drive relevant interactions. This includes transactional, mobile, sensor, and  Web data.
  • Social media analytics is also a central tactic. Social profiles and activity are rich sources of data about behavior and character, merging what people buy or look for with their interests, for instance. Such data can feed predictive analytics and personalization campaigns.
  • Experiment with commercial tools that can filter and mine the data of customers and prospects in real time. This is a significant step beyond basic demographic data collections of the past.

sap_Q216_digital_double_feature3_images-0007Once the necessary data is available, companies need the technology, processes, and people to make sensible use of it in an omnichannel personalization strategy. Only when a company is organized as a Live Business can that happen. Here’s how your company can move toward being a Live Business:
Be live across channels. Having a consistent customer journey map across channels is core to omnichannel personalization. It requires integration across multiple systems and organizational silos to enable core capabilities, such as inventory visibility and purchase/pickup/return across channels. This integration also constitutes a major chunk of the transition to becoming a company that can act in the moments that matter most to customers. If all channels can sync in real time, customers can get what they want in the moment they want it.

Free the data scientists. Marketing rarely has full control over the omnichannel experience, but it is the undisputed leader in understanding customer behavior. While data science is part of that understanding, it has traditionally played a background role. Marketers need to bring the data scientists into efforts to sort through the different options for digitizing the omnichannel experience. The right data scientists understand not only how to use the tools but also how to apply the data to make accurate decisions and follow customers from channel to channel with personalized offers.

Walgreens’ Technology Approach to Personalization

Walgreens is a leader in building the kind of technology base that can enable real-time, omnichannel personalization. Its digital transformation is 16 years in the making, according to Jason Fei, senior director of architecture for digital engineering at Walgreens. At the heart of its infrastructure is a Big Data engine that feeds many customer interaction and omnichannel processes, including customer segmentation. The company adds third-party systems in areas such as predictive analytics and marketing software. Walgreens has a cloud-first strategy for all new applications, such as its image-processing and print-ordering applications. Other elements of the drugstore chain’s technology platform include:

  • Application programming interface (API)-driven architecture. Walgreens’ APIs enable more than 50 partners to connect with its apps and systems to drive customer-facing processes, including integrations with consumer wearables to drive reward points for healthy habits, as well as content partnerships with companies such as WebMD. “With APIs we can be an extensible business, allowing other companies to connect to us easily and help in the digital enablement of our physical stores,” Fei says.
  • Responsive Web sites. The company’s Web site is built using responsive and adaptive design practices so that the site automatically adapts to the consumer’s device, whether that is a mobile phone, tablet, or desktop computer. “We have a single code base that runs anywhere and delivers a consistent, optimized experience to all of our customers,” Fei says.

Making the Most of the Technology Base

This technology foundation has allowed Walgreens to push forward in personalization. For example, according to Fei the company uses sophisticated segmentation and personalization engines to drive outbound e-mail and text campaigns to customers based on their purchase history and profile. “We don’t blast out messages to customers; we use our personalization recommendations to be relevant,” says Fei.

The next phase of this strategy is to develop live inbound personalization tactics, such as recognizing customers when they come back to the Web site and tailoring their experience accordingly. These highly automated, self-learning systems improve over time, becoming more relevant at the moment a customer logs back in.

“When you search for a product, the Web site will take a good guess of what you might actually want. If you always print greeting cards at the same time of year, for example, the system would automatically deliver content around that,” Fei explains. “Everyone comes to Walgreens with a mission, so we can be very targeted with our communications.”

Walgreens’ mobile app combines real-time personalization with convenience. You can scan a pill bottle to refill a prescription, access coupons, send photos from your phone to print in the store, track rewards, and find the exact location of a product on the shelf.

Walgreens also recently deployed a new integrated interactive voice-response system that includes a personalization engine that recognizes the individual, says Troy Mills, vice president of customer care at Walgreens. The system can then predict the most probable reason for the customer’s call and quickly get them to the right individual for further help.

How to Get Started with Live Customer Experiences

sap_Q216_digital_double_feature3_images-0008As Fei can attest, getting Walgreens’ omnichannel and personalization infrastructure to this point has involved a lot of work, with much more to come. For companies just now embarking on this journey, especially midsize and large companies, getting started will mean overhauling an outdated and ineffective technology infrastructure where duplicate systems and processes for managing customer data, marketing programs, and transactions are common.

A bad internal user experience often transcends into a bad customer-facing experience, says Peeples. “We can’t afford the distractions of the latest app or social ‘shiny penny’ without addressing the root causes of our systems’ issues.”

Live Business Requires Striking the Right Balance

The boundaries of trust are a moving target. Sales tactics that used to be acceptable decades ago, such as the door-to-door salesperson, are unwelcome today to most homeowners. And consumers’ expectations are unpredictable. At the dawn of social media, many people were anxious about their photos unexpectedly showing up online. Now our identities are tagged and our posts and photos distributed and commented on regularly.

But while consumers are getting more comfortable with online technology and its trade-offs, they won’t put up with personalization efforts that make use of their data without their knowledge or permission. That data has value, and customers want to decide for themselves when it’s worth giving it away. Marketers need to strike the right balance between personalization and a healthy respect for the unique needs and concerns of individuals. D!

 

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Lori Mitchell-Keller

About Lori Mitchell-Keller

Lori Mitchell-Keller is the Executive Vice President and Global General Manager Consumer Industries at SAP. She leads the Retail, Wholesale Distribution, Consumer Products, and Life Sciences Industries with a strong focus on helping our customers transform their business and derive value while getting closer to their customers.

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The #1 Reason People Leave A Job Might Surprise You

Meghan M. Biro

Do you know the number-one reason employees leave a job? It isn’t because of their title, salary, or workload. They leave because of their managers.

Surprised? You shouldn’t be. It makes sense, and we have the research to prove it.

Multiple surveys have confirmed a manager can make or break an employee’s experience. A study by employee engagement firm TinyPulse identified various behaviors impact retention, such as micromanagement and a lack of opportunities for development. Gallup found “at least 75 percent of the reasons for voluntary turnover can be influenced by managers.”

Compensation, culture, colleagues, and balance all play a role—but the crux is the person who holds the role of supervisor.

When good intentions lead to bad management

Bad managers aren’t uncommon; most people have survived at least one. But bad managers aren’t bad people; more often than not, they just don’t have the skills they need to be effective or to recognize warning signs. Consider this:

Skilled workers aren’t automatically great managers. Companies often promote internally, rewarding skilled employees with a move to management. Moving some into management can be a solid strategy, but you can’t ignore the corresponding need for professional development. Before you promote an employee, you need to vet them carefully and provide access to appropriate training. Without that, new managers feel like they are expected to “wing it” and to learn as they go. And over time, the bad habits that arise from inadequate training can cause real problems.

Enthusiastic managers can overwork good employees. “If you want something done, ask a busy person,” Benjamin Franklin once said—and it’s true that good employees often work more efficiently, produce more, and take on more than required. Instead of rewarding above-and-beyond contributions, however, some managers push for more by consistently turning to the best people on their team. This can leave top performers feeling taken advantage of and burned out, spurring them to leave for a job that respects their time and dedication.

Positive working relationships must be a priority. People spend much of their waking hours at work. Managers are responsible for helping their teams be productive, and for improving morale and developing each team member’s skills. Employees who are boxed-in or feel unsupported will stop producing at the same rate, and they may leave entirely.

Anyone can handle a bad management situation temporarily, but… A good employee won’t hang around for years. Employees need to feel appreciated, challenged, and supported in the workplace. Good management doesn’t just help the individual, it helps the team, department, and organization succeed.

Treat employees well without sacrificing business goals

Unfortunately, many managers miss the warning signs. And then? It can be too late. According to HR consultant Bill Rehm, managers often fail to think about retention until the moment someone hands in a resignation notice. They’re often so focused on the battle for recruitment that they miss the internal weaknesses. Then they write off the departure as something with an external cause.

To build and nurture strong teams, you need to start with each manager. You can reduce turnover rates and eliminate the number-one reason for talent loss by encouraging sound management techniques. Where do you start? How about by:

Getting to know the person, not just the worker. What someone writes on a resume or does on the job isn’t their full biography. Take time to get to know team members; ask about their motivations, hidden skills, and outside interests. Learn what the company can do to support their professional growth.

Finding the right talent—for management and your team. Good recruiting finds the right employees to fit a company’s corporate culture and leadership. According to Smashfly,* of the2015 Fortune 500 companies, 57 percent share employee stories as part of their strategy to attract great candidates. Use employee advocates and authentic stories to help build teams who will work well together.

Embracing a culture of transparency and engagement. Engage employees in decision-making discussions and give them context for the work they do every day. A deeper level of understanding can be a motivating factor and may present an opportunity for innovation.

Celebrating good work. As often as “the squeaky wheel gets the grease,” a good job deserves attention, too. Plus, celebrating it may offer more benefits than drawing attention to errors. When employees do well—go above and beyond, or take initiative—recognize their work with verbal praise and earned rewards.

Remembering that change is good. Companies need constant innovation and new thinking to gain or keep a competitive edge. Employees who feel stifled or unchallenged won’t contribute to that evolution.

Providing ongoing feedback. Annual performance and engagement reviews are falling by the wayside, replaced by regular surveys and reports. Company leadership should consider continually offering employees both data-driven and personal feedback about their performance.

Companies need strong managers—and strong leaders. Be a strong leader. Invest in your management team. You’ll not only encourage innovation and growth—you’ll keep your employees happy and eliminate one of the key factors that can have them heading for the door.

*Smashfly.com is a TalentCulture client but the views expressed in this post are my own.

For more on how strong leadership leads to happier employees, see No Magic Pill To Boost Leadership And Employee Engagement

 

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