Enabling Performance Management Part Four: Best Practices in Key Performance Indicators

Malcolm Faulkner

Key performance indicators (KPIs) would seem, on the surface, one of the most straightforward topics to grasp.

However the process of defining a meaningful set of KPIs is a lot harder than it might seem and one of the reasons companies are always on the lookout for pre-existing content they can apply to their business.

Why Do We Need Performance Information?

The obvious answer is that it tells us whether or not we’re meeting our objectives. When we’re dealing with scorecards as oppose to dashboards (a topic in its own right), this is probably sufficient. But performance information can also tell us whether improvements are necessary (see Getting More value from Your Operations), how quickly we’re achieving our goals, and whether the rate of improvement is increasing or decreasing? Measures also help us align teams and keep us focused both on what needs to get done and the necessary course corrections to achieve our goals.

Top-level measures are fairly easy to come up with; for example, revenue, profitability, and customer and employee satisfaction. As we drill into business processes in more detail, the number of performance measures starts to increase quite quickly. So, one immediate challenge is knowing what ones require our focus.

Managing Performance Is a Balancing Act

  • We need to be effective – focus on what matters most. There’s little sense doing well things that have little impact.
  • We strive to be efficient – use least amount of resources. Being more efficient frees up resources so we can do more. So, a portion of our measures should indicate the less expensive, quickest, lowest, highest way, etc. of meeting our objectives.
  • We also need to ensure being more efficient doesn’t mean we cut quality – so we need to achieve cost reductions in ways that don’t negatively impact safety, compliance, or stakeholder satisfaction. Ideally, the product and services we deliver should exceed expectations.

Measurement by Itself Won’t Improve Performance

Certainly from an employee performance/compensation standpoint, knowing what you’re measured on helps focus attention. We need focus on outcome KPIs rather than output. For example, in sales, performance is ultimately about deals closed and deal size. Pipeline and sales activity are important, but they aren’t the outcome on which our pay is based. So, as a best practice, we should have more outcome indicators and fewer input and output KPIs.

Prioritization is also key, as some outcomes are needed sooner than others. This can be clearly seen in long-term plans where gaining market share is more important, initially, than revenue and profitability, which come later in growing businesses.

Too Many Metrics Makes It Hard to Determine Performance

More isn’t always better when it comes to performance management. A very common beginner’s mistake is establishing too many KPIs (and objectives), making it very hard for employees to focus on the most critical activities. Plus, you mostly end up with a conflicting set of metrics where it’s almost impossible to tell if you’ve improved or are delivering anything worthwhile.

In Malcolm Gladwell’s book, Blink, he describes a situation at Cook County Hospital where they were struggling with too many metrics. The issue was that anyone with heart issues regardless of the problem had to be treated, and it bogged down their emergency services. They wanted to determine the critical few metrics that would allow them to focus only on individuals with heart issues that were of an emergency nature and treat less serious cases in other departments. The issue was that most people are trained to think more information is better.

Defining Key Performance Indicators Involves More Management than You Think

Organizations get themselves in trouble by not allocating enough time to defining KPIs. What kinds of problems arise?

  • It’s hard to get the right cross-functional team together – KPIs need to help many stakeholders, yet you want to also limit the total number you track.
  • Stakeholders argue, so it becomes hard to obtain agreement.
  • You might pick the perfect KPI only to find you don’t have sufficient data available to measure it.
  • Other problems are psychological: fear and anxiety arise around achieving the KPIs. There’s risk in doing or measuring something that’s never been done before.
  • Lastly, compensation is likely to rear its head – how will I be rewarded for doing this?

How Much Work Is Involved with Tracking the KPIs

When determining your KPIs, you need to consider how much work is involved maintaining them. With limited resources, make sure that keeping your KPIs up to date isn’t more work than the projects they’re designed to measure.

Consider what’s involved in collecting the actuals each period (can this be automated) and how frequently they need updating. Difficultly in producing reports is one of the major reasons companies turn to purpose-built applications; so if using these tools adds too much additional work, than the investment in them may not be worth it.

Lastly, do your KPIs adequately measure your objectives? Returning to my soccer analogy from an earlier post, if the goal is to make the team fitter, then we need to focus on training that ensures the players can both go full speed for short bursts and last the full duration of the game jogging continuously for 60 minutes will make them fit but not in the way we want.

So, defining key performance indicators isn’t straightforward after all. There are lots of considerations, and you need to budget time accordingly.


Malcolm FaulknerMalcolm Faulkner is a solutions marketing manager with the enterprise performance management team at SAP. Prior to joining SAP, Malcolm was a pre-sales consultant at OpenPages and Siebel Systems.

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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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5 Reasons You'll Embrace Digital Transformation In 2016

Dinesh Sharma

Without a doubt, the lives of everyone on this planet has been impacted by the digital economy. Approximately 2 billion of us don’t leave our homes without a smartphone in hand. We shop online for almost every conceivable product. And for the 57% who are still unconnected, they are benefiting from a growing social community that is exchanging ideas, influencing governments worldwide, inspiring change, creating awareness of injustice, and coordinating aid to those in need.

At the same time, a growing number of companies are extending the possibilities of hyperconnectivity. Kaeser Kompressoren is embedding sensors in its systems to predict potential breakdowns and generate revenue by tracking the volume of compressed air consumed by its customers. Haier Asia is doubling up its digital platform to get closer to its customers and give them exactly what they want. Even Europe’s second-largest port found a way to increase capacity by 150% without physically expanding its bustling facility.

For these companies, digital transformation is not just a strategic move – it’s a fundamental part of their survival and overall business model. In fact, a recent study by the Economist Intelligence Unit (EIU) revealed that 59% of executives view the failure to adapt to hyperconnectivity is their organization’s biggest threat.

2016: The year of real digital transformation

Despite all of this change, we have yet to scratch the surface of the possibilities the digital economy offers. Mark my words: 2016 will further prove the transformational power of the digital economy.

As we prepare to usher in a new year, here are my top predictions of how the digital economy will continue to revolutionize everything:

1. Digital masters will emerge – and win every time.

Companies that digitally transform everything they do and touch will further differentiate themselves from those that just dabble in digital services. Although the EIU reports that 19% of companies are radically changing their business model to seize the opportunities hyperconnectivity offers, they are becoming powerful brands.

Take Nike, for example. The well-known sports apparel company has transformed itself into a fitness and lifestyle brand. By actively engaging with customers through social media, mobile technology, and embedded sensors, it is fostering an empowered community. From tracking diet, activity, and fitness progress to sending reminders to get their customers moving, Nike is making sure that their customers have the support they need – whenever and wherever they need it. 

2. Digital Darwinism will become a significant threat.

Technology and society are evolving at a pace that is simply too difficult for many organizations to keep up with.  In fact, according to some predictions, 40% of the Fortune 500 are expected to no longer exist within 10 years if they do not evolve soon.

To survive, companies must be not only the strongest and the most intelligent, but they also must adapt to change.  We have all seen this firsthand as we spent the last 20 years saying goodbye to brand leaders that resisted the call and opportunity to digitize. So for the 81% that are not taking digital transformation seriously, make 2016 the year you start to get serious.

3. Digital transformation will be pervasive across every area of the business. 

To be truly transformed, companies must go beyond window dressing the customer experience, embedding a few sensors to monitor production, and monetizing a service with digital technology. They must reach deep into the bare bones of the company, going as far as human resources and finance and as high up as the executive boardroom.

Digital transformation is just the enabler – real change happens when the business culture, leadership, and processes of profit centers and cost centers embrace it and evolve with it. The cloud, mobile technology, networks, and analytics present every business area with a unique opportunity to gain greater efficiency, perform instant data analysis, and achieve better collaboration. Not only does digital transformation help companies modernize and become an attractive employer brand for younger talent, but it also creates a seamless customer experience, promotes more effective collaboration, and empowers the entire workforce.

One brand that shows the power of such an undertaking is Burberry. Famous for its digital retail experience online and in physical stores, the luxury retailer has taken its personalization strategy to its employees too. By making it easier for employees in all areas to sell the brand to customers, Burberry is experiencing increased engagement across its workforce. And in the end, that means a better customer experience – anytime, anywhere, and through any channel.

4. The sales funnel will disappear – for good.

For decades, the sales funnel has been used as a visual representation of separating qualified buyers from the rest of the prospect pool. However, thanks to the Internet and social network, the sales process has accelerated to the point where the funnel is no longer relevant.

CEB recently uncovered that the average buyer is 57% through the purchase decision process before their first interaction with a sales representative or channel. Plus, companies only have 12% of their customer’s mindshare through the buying experience.  As a result, customers tend to fall through the funnel undetected and without a defined journey.

Through digital transformation, sales and marketing can better address this issue by providing multiple touch points that can make the brand accessible to every existing and potential customer – no matter the path taken. Along the way, data should be collected, consolidated, and distributed across the enterprise to provide insight and power decisions at the moment of the interaction.

5. Cryptocurrency will pave the way for better data security. 

Bitcoin. Drones. Virtual reality. Cloud. All of these emerging technologies has drawn a fair amount of press lately. However, there are always naysayers fearful that these innovations will not measure up in terms of protection from cyberattacks and data breaches. And probably the most eyebrow-raising one of all is cryptocurrency. However, Bitcoin has included a level of security into its ecosystem: The blockchain.

Through redundancy, computational compliance, and high-speed processing, all transactions are logged on a publicly available general ledger and copied across thousands of servers. When a transaction is initiated, every one of those servers must agree that the information given is accurate. Should someone try to cheat or hack into the ecosystem, it will be rejected as soon as the new account identifier is detected to be unidentifiable.

Is it possible that someone can work faster than these servers? According to The Economist, it is nearly impossible to generate a new version of the blockchain quick enough to overtake more than half of the servers controlling it. As computing power and speed increases, so will the servers’ ability to process information faster than the most-competent blockchain miners.

What do you think of these predictions? Dust off your crystal ball and share how you foresee the digital economy evolving!

Learn more about what’s possible for your business in the digital economy. Check out these reports detailing the Economist Intelligence Unit’s research:



About Dinesh Sharma

As Vice President of Marketing, Internet of Things (IoT), Dinesh Sharma is charged with driving thought leadership, awareness and adoption of SAP’s solutions for IoT across industries and lines of business. He is responsible for go-to-market plans across the IoT portfolio, as well as providing detailed analysis of industry and market trends, customer needs, competitors, economic environment and emerging business opportunities. Prior to his current role, he was the global VP leading cloud and cloud platform marketing, where he successfully launched the industry’s first in-memory cloud platform-as-a-service (PaaS), SAP HANA Cloud platform. Dinesh is senior technology executive with over 20 years experience in the industry: His domain experience spans from semiconductors, software design, product marketing and business strategy. He has managed worldwide business units for large technology companies and also has founded technology start-ups, including Dynamic Pictures, Inc., which he sold to 3Dlabs. While at ATI and AMD he drove an increase in market share from 12% to 47% in less than 2 years, while also delivering a 5X growth in revenue by delivering innovative products, driving direct sales engagement and marketing programs that reinvigorated enterprise sales. Prior to joining SAP he has been in leadership roles at startups in virtualization, big data and distributed computing with a heavy emphasis on building Cloud infrastructure and platforms. He has captured over $30MM in venture funding in his entrepreneurial career. Dinesh holds a Bachelor of Engineering degree in Electronic Engineering from University of Liverpool, UK. He lives in the San Francisco Bay Area with his wife and two small children.

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