Recent Posts

10 Insights into the Emerging Use of AI

The truth is AI is still a dumb infant—but that means a lot of businesses are becoming hesitant first-time parents. A study surveying over 3,000 executives and 160 case studies globally has taken a pulse on early AI usage. In an article for Harvard Business Review, McKinsey’s Jacques Bughin, Brian McCarthy, and Michael Chui derive 10 insights about AI from the study that you need to know: Most businesses are not using AI yet. AI …

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You Don’t Want a Big Data Project

You want to stay competitive, so you had better start building some more robust analytics. But if you issue an edict that “Big data is coming” and make that itself the project, then you are going to run into problems. In an article for Forbes, Bernard Marr discusses how big data is just another tool, and to treat it as an end-goal is to miss the point. Always Be Goal-Driven Analytics get used to solve …

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Six IT Design Rules for Digital Transformation

The honeymoon phase of digital transformation is over. Businesses with entrenched systems are realizing that transformation is riskier and costlier than they had anticipated, and although they have to do it anyway, it is a painful process. In an article for Bain & Company, Jordi Moncada, Vishy Padmanabhan, and Velu Sinha describe six IT design rules to facilitate the transformation: Break boundaries across IT stacks. Embrace DevOps. Be open. Incorporate policy engines. Induce insights via …

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Why Is Digital Benchmarking Important?

You can benchmark virtually anything as long as you have a really good reason for it. In an article for Entrepreneur, Paulius Stankevicius considers the value of digital benchmarking in sales and marketing contexts. He discusses broadly how to make the experience worthwhile. Get Those Digits Stankevicius discusses the benefits of digital benchmarking like this: Digital benchmarking gets the answers related to online performance. This analysis opens up the very hard to answer questions such …

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3 Big Data Developments No One Is Talking About

When it comes to big data and analytics, many of us get stuck in a quagmire of buzzwords and platitudes that have emerged around them. But amid uncertainty, the development of analytics has continued all the same, some of which is finally cutting through the haze. In an article for InformationWeek, Nick Elprin and Philip Levinson identify three particular developments you should be aware of: Big data’s diminishing returns: De-emphasizing the size of the data …

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6 Overlooked Metrics That Can Help You Recruit Aces

By definition, not every business can hire the best job seekers. But there are steps you can take to distinguish your business and garner more interest from aces. An article at Inc. highlights six metrics that you should start paying closer attention to in order to do just that: Time to hire Stage-to-stage conversions Percentage of completed applications Offer acceptance Conversion rates by source Long-term employer and employee satisfaction The Best Odds The longer it …

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How to Integrate Data and Analytics into Every Part of Your Organization

Analytics spending is anticipated to top $200 billion by 2020, so organizations better make sure they are spending that money in the right ways. It is not enough to just toss money at new technology, but it is certainly not enough to just trust people to figure it out for themselves either. In an article for Harvard Business Review, KPMG’s Carl Carande, Paul Lipinski, and Traci Gusher discuss how to apply analytics strategically across the …

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3 Little Principles with Benchmarking

To be the best in any industry or vertical, you first need to know what the best would have to look like. That is where benchmarking comes in. But if you are a little guy comparing yourself to the biggest guys, you might take away the wrong conclusions from the comparison. An article at Utech examines three small principles to keep in mind when benchmarking in order to arrive at more meaningful conclusions: Culture replication …

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CIOs Will Shape IT’s Future Value Proposition

According to McKinsey, businesses agree on the strategic value of IT and technology to improve performance, but they do not trust their IT leaders to get them there. They have shared the results of a study of 709 executives, 395 of whom are technology-centric, and it shows that IT has a bright future if CIOs can just live up to what the business wants from them. Withholding the Future Right now, executives believe that IT …

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Is Your Company Using Employee Data Ethically?

Like Jeff Goldblum’s character observed in Jurassic Park, sometimes we get so swept up in whether we can do something that we forget to ask if we should do it. This is especially true regarding the huge new possibilities for exploiting employee data that businesses have. In an article for Harvard Business Review, Kon Leong reviews the ethical challenges that come attached with employee data. Balancing Data and Privacy Right now, businesses are using employee …

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The State of IT on Process Maturity, Business Alignment, and Digital Transformation

IT-business alignment is an enabler of great things. How prevalent is it truly in businesses though? Research from HDI and Atlassian seeks to quantify this and other aspects of today’s IT organizations. They collected 184 verified responses from a survey and determined that, ultimately, IT still has a ways to go toward alignment in most organizations. Align and Conquer For the purpose of the survey, HDI defined “alignment” according to several specific qualities. Included in …

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4 Steps to Analytics Success

It used to be that businesses could never learn enough about their customers or about business process shortcomings. Now, businesses can learn virtually anything they want, and the harder challenge is deciding what parts are important. In an article for InformationWeek, Rosemary Radich shares four steps to distinguish important data from fluff and use it to transform the company: Identify your end goal. Identify the good, the irrelevant, and the unusable. Data is only as …

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5 Pitfalls of Benchmarking Big Data Systems

Benchmarking can be valuable in virtually any circumstance, but it is especially important when it comes to big data systems, where speed is everything. You should thus be striving for as much accuracy as possible with measuring. In an article for Cloud Data Architect, Justin Kestelyn highlights five pitfalls to avoid to get more reliable results: Comparing apples to oranges Not testing at scale Believing in miracles Using unrealistic benchmarks Communicating results poorly Data Deception …

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Why Hoarding Your Data Is Hurting Your Business

Ostensibly, wanting to secure every bit of data in the business makes perfect sense. It is your property, and you would never let someone walk into your house and take your TV. But the reality is that holding data too close to the vest may actually be hurting you. In an article for Inc., Joshua Klein describes where hoarding goes wrong and what should be done with data instead. Show and Tell and Profit In …

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Are You Managing the IT Skills Gap?

The IT skills gap is real, prevalent, and your business is probably feeling it already. A survey of 600 professionals in the United States conducted by CompTIA has yielded new data on what the gap looks like and how well (or poorly) businesses are addressing it. Does your business have a viable strategy to close the gap? The Only Gap Closing Is the Retailer Incidentally, one reason the skills gap is so problematic is because …

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