Three Strategies To Get Started With Mobile Business Intelligence (BI)

In my post “Mobile BI” Doesn’t Mean “Mobile-Enabled Reports” I highlighted two main areas that affect how organizations can go about realizing the benefits of mobile BI: enterprise mobility and BI maturity.

Today I want to focus on the latter and outline high-level strategies that require different avenues of focus, time, and resources.

Before an organization can execute these high-level strategies, it must have the following:

- An existing BI framework that can be leveraged
- Current technology (hardware and software) used for BI that support mobile capabilities
- A support infrastructure to address technical challenges.

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Do you Really Need to Embrace Analytics?

If you have not witnessed the deluge of big data and business analytics media coverage to date, then welcome back from the coma you were apparently in for the last couple of years. For the rest of you, perhaps you have the same nagging question that I have: Are big data and business analytics such a big deal that if our organization is late to the party in deploying them, we will never catch up to our competitors?

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Analytics – Equip the Man, Not Man the Equipment

Have you ever noticed how we often get things backward? At a dinner restaurant some order their entrée before their appetizer. During a job interview some employers are biased with their first impressions of the candidate, such as by their clothing attire, before learning the skills and competencies of the individual.

Please allow me provide some background before I make my case as to why some less experienced “data scientists” get things backward. Then I will explain why.

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The Human Face of Big Data

{According to Rick Smolen, a former Time Life journalist and photographer] one of the biggest opportunities is making better use of previously ignored “dark data”. “For years, meteorologists have had to filter out ‘bioclutter’ from Doppler radar weather systems – the “noise” generated by flocks of birds or bats. But when bird researchers realized they had 15 years of invaluable data on migration patterns they were delighted!”

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On-premise or Onto the Cloud?

Do you have to move your processes to the cloud today? The answer is you don’t. Do it when you are ready and when you see value for your organization. If, and when you’re ready to start your journey into the cloud, you can go about it piece by piece, and as a hybrid, to minimize risk to your core operations and to get buy-in internally.

Perhaps you could begin with applications that bring tremendous value, yet are non-disruptive such as workforce planning and analytics? Your newspaper, music, pictures and videos are moving into the cloud, your bills and banking are moving to the cloud, you telecommute, and your social is moving into the cloud - it’s inevitable that your business applications, including HR will follow.

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Survey Says…. Kitchen!

The question, by the way, was: “Where do you most commonly sort your mail”. And the reason is that the kitchen is where the trash can is. Let’s quickly walk through the process of sorting through our daily mail, or my personal process anyhow.  First, you set aside the packages – usually good stuff in…

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What Is Mobile Business Intelligence?

You might have heard this statistic by now: more people own a cell phone than a toothbrush. In a Forbes post, Maribel Lopez lists a number of recent statistics about mobility. “While we could debate the numbers, the trend is clear,” she writes. ”The pace of mobile adoption across devices and applications is accelerating.”

Mobility is no longer a nice-to-have option. Instead, it’s become a must for many businesses.

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Three Strategies To Get Started With Mobile Business Intelligence

A “mobile-only” strategy reflects a strong commitment, or all-in approach, by the management team to mobile BI, or mobility in general. This may be due to a specific reason, such as the relevance of mobility in a particular industry or the opportunity to create a strategic advantage in a highly competitive market. Or a company may decide that mobility needs to be a vital part of their vision.

However, in order for this strategy to be successful, it requires a commitment that results in both championing the cause at the board or senior management level and making the necessary resources available for execution at the tactical level.

In reality, this approach doesn’t necessarily translate into creating a mobile version of every analysis or shutting down all production lines for PC-based outlets for reporting and analytics. Instead, it reflects a strong emphasis on establishing scalable mobile consumption paths for analytics, and it signals a willingness to exploit a mobile-first mindset.

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Analytics – from the World of Finance to the HR Organization

In the finance and banking industries, organizations have employed for years mathematicians, statisticians, engineers, physicists, and highly-skilled specialists with super-strong analytical skills. They put these skills to work, sifting through volumes of financial, economic, and social data to identify trends, pick out the “needles in the haystack,” and determine the probability of markets going up or down. Their brain power, combined with machine resources, is focused keenly on exploring and acting on new ideas to increase the return on investments, whether through gaining a sub-second advantage in trading or in long-term ventures.

However, the idea of tapping big data in the context of the workforce, in order to gain a competitive edge, is just beginning to sink in with many HR organizations.

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Are Your Human Resource Metrics Relevant?

There are many presentations and discussions about how analytics and “Big Data” can improve decision making—a simple Google search on the terms returns close to 8 million results. Organizations find their workforce analytics especially challenging as human resources (HR) departments attempt to grow beyond creating reports for the sake of reporting. When you think about…

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