Making a BYOD Business Case

Lindsey Nelson

It’s where business meets personal – giving you the ability to work anywhere, anytime, with your own device. Bring Your Own Device BYOD mobility(BYOD) programs are emerging in enterprises, but don’t underestimate the effort it takes to implement.

That’s probably why your company has yet to do so. If you’re looking to bring BYOD to your enterprise, whether small or large, you need to make sure you follow these four steps while developing your business case.

IT Isn’t Your Only Friend, Make New Ones

Although your IT department will carry the majority of the work, you need to ensure that human resources, legal and finance are all involved from the start. This will help you when you begin to develop your program policies and processes.

Let IT build the relationships with your security and governance teams, handle the vendor management and application development. Don’t try and getting involved with something you don’t know about, these people speak the same language, letting them hold the conversations will ensure you have the right strategy and tool set in place.

Share Your Vision

This one plays off the previous, make friends – especially those higher up – and make sure you collaborate to create a shared BYOD vision that identifies:

  • The company’s overall goals to achieve with BYOD
  • A timeline for when your BYOD program will affect your different business units
  • Determine which old processes need updating
  • A deadline for when all your named BYOD program benefits are reached

Be Proactive On the Issues

Everything that glitters isn’t gold. Make sure you are proactive on the issues and think about what happens with any of the below scenarios.

  • Who takes care of the backup? Is it IT, or the employees responsibility? Do you have a tool in place that will manage this?
  • Make sure you have a team in charge for compliance.
  • Technology can be a fickle thing, what if all the data on the device is suddenly lost? Was this because of your poor backup policy? Who is responsible for doing the backup? When it’s recovered, is it possible to differentiate between private and corporate data?
  • What happens when your employee loses the phone? Who replaces it? How long does the employee wait before telling your company? Do you have remote data deletion software in place?
  • What happens to the company data if you lose the employee? Is someone responsible for ensuring the private data has been deleted?

Justify Your BYOD Program

Make sure you have a strong and clear BYOD business case. Here’s where working with your business partners will come into play. By working with them you can provide insight into your company’s finances, personnel requirements, and other resources necessary to the program’s deployment.

Keep in mind these key questions regarding cost:

  • What will you need to add or take away from your network infrastructure costs and wireless services?
  • Which MDM solutions/subscriptions will you use?
  • Which hardware will be accepted by the program?
  • Which additional application management and security costs will be incurred?

Don’t forget to highlight the expected benefits like:

  • Productivity increases from your workers having the access to communicate and collaborate any time they want
  • Revenue bumps from your sales teams having access to all deal related information like contacts, directories, and order detailsall on their phone or tablet.

Following these suggestions will help you get your BYOD program started, but ensure you and those identified as responsible for their respective areas continue to be diligent. It’s the only way to be successful.

Did I leave anything out? Let’s continue the conversation on Twitter: @LindseyNNelson


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5 Ways Big Data Will Change Lives In 2013

SAP Guest

By Siddharth Taparia, Senior Director, Portfolio and Strategic Marketing, SAP

Recently, I saw firsthand how a new “universal identification” program called Aadhar is taking shape in India. It has potential to improve the lives of millions of poor people via Big Data.

Aadhar is an ambitious government Big Data project aimed at becoming the world’s largest biometric database by 2014, with a goal of capturing about 600 million Indian identities. This could help India’s government and businesses deliver more efficient public services and facilitate direct cash transfers to some of the world’s poorest people — while saving billions of dollars each year.

Many of the core ideas surrounding Big Data have been around for awhile, such as traditional data mining and analytics. But new technology enables the collection and analysis of, until recently, unimaginable data volumes at extremely high speeds.

“Big Data” refers to methods and technologies that help businesses and individuals make better decisions by analyzing large data volumes and predicting probable outcomes. The term has been around for a few years, but 2013 may be a year when Big Data moves from the technical to the practical, as real consumers and citizens start seeing its impact.

1. How we spend: Traditional and online retailers typically spent resources building huge datasets trying to understand their customer’s buying patterns using programs such as loyalty points. They offered big discounts on certain shopping days, such as Black Friday. New technologies help companies provide real-time offers to customers based on the date, the time of the day and the location of their shopping. As companies use Big Data to store and analyze more and more information about customers and competition, shopping will become more personalized and marketing more targeted. In short, you may get a better deal than someone sitting right next to you!

2. How we vote: If there was one area outside of business where Big Data had an enormous impact in 2012, it was in the U.S. presidential election. President Barack Obama’s campaign ran what has been referred to as the first Big Data-powered campaign that could micro-target individual voters most likely to be persuaded. The basic idea was to analyze every individual voter’s preferences instead of relying on traditional methods of taking polls with small sample sizes and extrapolating. This was historic because it upended traditional methods of running campaigns. Mounds of data from surveys, phone calls, external voter lists and past voting patterns drove real-time voter outreach and get-out-the-vote efforts. But Big Data was not limited to campaigns with huge technology infrastructure, as Nate Silver of The New York Times famously predicted the 2012 election outcome by applying statistical models to aggregate existing polling data.

3. How we study: A number of academic institutions are employing Big Data to address dual challenges of high dropout rates and the ensuing decline in state funding. The basic approach is to ensure that students select the majors that are best suited for them and nudging them to take classes that increase their chances of successfully graduating. Even the course material can be personalized for the students based on their interest, prior courses and the medium they find easiest to learn from (video, text, etc.). This is all made possible by analyzing vast amounts of student data, such as standardized test scores, previous grades and even real-time data points like clicks in an online class. Applying statistical models to each student’s profile and comparing results to similar students can predict the most likely outcomes (like succeeding in a class or completing a major) and offer constructive recommendations.

4. How we stay healthy: Healthcare has been a particularly difficult domain for analytics because of myriad privacy and regulatory restrictions that prevent the usage of data for research purposes. However the proliferation of smartphones and other “self-tracking” devices is fast changing the landscape. It is now possible to collect data from healthy individuals by constantly monitoring their vital information 24 hours a day, creating a very large unbiased control group that can be segmented by demographics such as age, sex and race. Analyzing large volumes of historical and real-time data can help individuals make healthy lifestyle choices, take preventive measures (e.g., flu vaccinations), predict their chances of being inflicted with a certain disease and possibly even provide personal analytics on their daily activities and how it impacts their health.

5. How we keep (or lose) our privacy: With all this data collection and analysis, privacy has rightly been a paramount concern with Big Data. Often individuals fear Big Data becoming the Big Brother (or Big Boss!)watching their every move and knowing the most intimate details about their life. An increasing amount of data — especially online and on smartphones — can be collected without the user’s knowledge or consent. Collection, analysis and sale of personal data on the Web can range from your search habits to shopping preferences to personal health issues, and it is a booming business, according to a recent Wall Street Journal investigation. Still consumers and citizens willingly share much of the data collected today.

India’s Aadhar collects sensitive information, such as fingerprints and retinal scans. Yet people volunteer because the potential incentives can make the data privacy and security pitfalls look miniscule — especially if you’re impoverished.

Big Data is quickly becoming a vast goldmine for businesses, governments and even law-enforcement agencies, but it also attracts hackers and identity thieves. Savvy consumers will understand how and where to best share their data, and what they get in return.

Throughout 2013 we are sure to see more and more impact of Big Data in other aspects of our daily lives, such as how we bank, watch TV and even stay safe. Consumers would do well to weigh the cost and benefits before allowing access to their data.

Follow Siddharth Taparia on twitter @siddharth31


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Predefined Content Is What Drives HR Analytics

Frans Smolders

HR AnalyticsBy now, most HR organizations underline the importance of HR analytics.

They understand that it helps them retain their employees, which saves money in recruitment.

And they’re aware that insight into training effectiveness improves the training offering and results in better performing employees.

Nevertheless, most HR departments I talk to struggle.

What Do HR Departments Need from HR Analytics?

These are the concerns I hear most frequently:

  • HR software implementation is dropped from the budget when a project goes overtime and over budget.
  • Appropriate business intelligence tools aren’t used for HR purposes because its needs are lower in priority than others (usually finance and sales reports).
  • HR has a hard time defining what metrics to measure, and how to measure them. For example, within one company there may be different definitions of a single metric, or even worse, no definition at all.

What Do Customers Really Need?

Customers I speak to say they’re truly helped with predefined content to help shape their processes. Starters might leverage this out of the box and advanced organizations will use this as a discussion piece or a foundation. On the technical side, the crucial component is that all HR data must exist in one database to understand correlations, and must be trustworthy to avoid discussions on data quality.

Usually there are high expectations to user experience. HR Analytics content should be role specific and flexible enough to define and push the right information per business role. Next to content, there should be a clear scope on what is delivered within the implementation and how long that will take. This helps organizations to free up resources and budget.

How Should HR Analytics Be Deployed?

Lately, I hear lots of discussion around cloud versus on-premises analytics solutions. Frankly, my opinion is that it doesn’t matter. This is just a deployment option. It’s more important to ensure that the HR department is helped with easy to consume predefined content (best practice metric definitions, dashboards, deep-dive functionality, etc.) from one source of truth, with a quick time to value.

In this way, human resources can focus on serving the business by providing:

  • Clear insight
  • A strong explanation
  • A strategy to move the organization in the right direction

I’m interested to learn your vision for improving HR analytics.


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The Most Powerful Brand Ambassadors In The World May Not Be Brand Loyal

Steve Olenski

Just so you know I surely did not sit down and consciously plan on writing on two articles this week on brand loyalty and what marketers need to know and so on. It just so happens I came across the WSL Strategic Retail How America Shops MegaTrends report entitled “Moving On 2012.”

I found the findings in the report very provocative and I used some of them for my article of a few days ago Is Brand Loyalty Dying A Slow And Painful Death? I also touched on some findings re: mobile marketing from a survey by AisleBuyer which revealed that that The Most Powerful Brand Ambassadors In The World May Not Be Brand Loyal image women shoppingl 300x1996nearly 75% of consumers would switch brands if offered real-time discounts and promotions that were delivered to their smartphones in real time while they were shopping in a store.

In  other words, loyalty/schmoyalty. Give someone something, i.e. a discount or coupon and brand loyalty goes out the window.The Most Powerful Brand Ambassadors In The World May Not Be Brand Loyal image trans

Today, however, I want to go back to the aforementioned WSL Strategic Retail report and touch on a finding that should send shivers up and down the spines of brand marketers, brand managers and pretty much all marketers and advertisers.

They’ve Got The Power

Last March I wrote a piece about whom I consider to be “The Most Powerful Brand Ambassadors In the World.”

The whom I am referring to is the same group who account for 85% of all consumer purchases including everything from autos to health care.

The answer of course is women.

A woman is the most powerful brand ambassador in the world. Period.

But are they brand loyal?

Well based upon the findings from the WSL Strategic Retail report I would say it surely does not appear so.

Run these up your flag pole Mr. and Mrs. Brand Marketer:

  • A stunning 75 percent of women now say it’s important get the lowest price on everything they buy, up 12 percentage points. from 2008 and up 22 percentage points from 2004
  • While 67% of women agreed that trusted brand names are not worth paying more for

The two points above are truly eye-opening in my humble opinion. To think that so many women – AKA the ones making the bulk of consumer household buying decisions, are seemingly completely ambivalent when it comes to brand loyalty – even dismissing the issue of trust – is, well forget about eye-opening, it’s downright scary.

Scary in the sense that if you are a given brand in any category and even though your loyal customer has remained loyal for X number of years regardless of price, said customer is now willing to turn their back on you all for the sake of saving money.

Forget about quality.

Forget about trust.

Forget about loyalty.

One word: Money.

And the saving thereof.

So it would appear that given the fact that the most powerful brand ambassadors in the world are no longer brand loyal, I guess I have my answer to the question Is Brand Loyalty Dying A Slow And Painful Death?

Source:, Google Images


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A Better Mobile Strategy: Quantify This.

MobileIt’s one thing to identify the top mobile trends, but another level of thinking is required to create a sustainable winning mobile strategy. Consumers will dictate who wins in 2013 an here’s what CEOs in consumer-facing industries need to think about.

CES 2013 helped ring in the technology new year with “more of the everything”, but at face value it lacked the disruptive  feel of some of past years.   In my opinion the true tipping point of economies of scale will take hold during 2013, and the fruit of much investment in ecosystems will be evident by mid-year.    Advertising strategies are being aggressively revamped around mobile only/mobile first thinking, and early successes in mobile retail and mobile banking are being rapidly copied around the globe, and this will be reflected in GDP and real returns in the coming months and years.   So it goes, as the momentum of an early mainstream market rapidly brings in new investment in digital marketing, enterprise managed mobility and the other pillars of a mobile, digital economy.

But how does a CEO link this to the real physical world?   How do organizations and ecosystems take advantage of Ubermobile’s Top Ten list for 2013?  That’s where the notions of quantified self and quantified enterprise come in.

At a personal level, the uptake of social networks, digital banking and everywhere commerce are pushing consumers in the mainstream to manage their digital lives, and emerging viewpoints like quantified self and quantified mind  promote the idea that lifestyles can be improved by actively managing a personal dashboard of life to improve your family, health, finance, leisure, and business pursuits.  For consumers, this quantified self trend will be reinforced by the digitial fabric of everywhere commerce, digital banking, and social in a never ending cycle that reinforces the quantification of the individual consumer.  (And that’s not counting the influence of quantification place on people from mobile business applications and content – but more on that in another blog).   A major opportunity awaits for ecosystems who can most effectively and efficiently tie this quantified self cycle together – and the linchpin for the quantified self is…user experience.

So at the business level, many CEOs are considering the implication of all the new gadgetry and linking them together in the Internet of Things.   As ecosystems become more adept at the Internet of Things, they find that changing human behavior plays a large role in revenue models, and that’s where quantified enterprise comes in.    Vendors and CIOs find that they can reach consumers if and only if they get much more adept at context aware computing  and multichannel experience delivery – otherwise all of the insights gleaned might increase the bottom line, but won’t signal new markets or business models….and the linchpin for quantified enterprise is…user experience.

The most successful CEOs will be the ones who best cultivate and match their quantified self and quantified enterprise investements.  This will be impossible to scale without harnessing Big Data, the Cloud and mobile virtualization technologies as an underpinning for both quantified self and quantified enterprise.  And it will be impossible to win without winning the last mile of user experience.

Net-net:  2013 marks the year to get your quantified game on, and to put plans and metrics in place to guide investment in building and linking the viewpoints of quantified self and quantified mind.


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