Recent Posts

Use Brute Force If You Want Innovation in Your Company

Every company on Earth claims it is pursuing and actively fostering innovation, but come on—if that were the case, everyone would be Google. The truth is that, for most, unlocking innovation is about as well understood as using black magic to summon spirits. But in an article for Harvard Business Review, Dylan Minor, Paul Brook, and Josh Bernoff take data from 3.5 million employees to arrive at more concrete, definitive pathways to enabling innovation. Crowdsourced …

Read More »

How to Avoid 5 Mistakes of Customer Data Analysis

Numbers may not lie, but they also do not tell the whole story either. For all their good intentions, businesses often mistake the message that their accumulated customer data is sending them. In an article for CIO magazine, Anna Frazzetto discusses five particular mistakes businesses make and how to not fall victim to them: Forgetting about exceptions Missing customer blind spots Looking backward instead of forward Not letting the customer lead Forgetting to explain the …

Read More »

Are You Accurately Measuring Your Company’s Digital Strength?

Traditional metrics measure traditional things, and the wave of digital transformation is anything but traditional. In an article for Harvard Business Review, Jeff Maling, Rod Fertig, and Arun Muthupalaniappan share three new metrics for measuring digital strength that they have identified. These metrics are the result of analyzing trillions of data points collected from 1,000 U.S. companies: Digital magnitude Digital share Digital momentum New Metrics for New Times The authors describe digital magnitude as the …

Read More »

How Will AI Change Software Testing?

Sure, a rogue AI might accidentally annihilate humanity eventually, but the time in-between then and now is looking pretty rosy. Particularly, AI might have some unique and positive effects on software testing. In an article for TechBeacon, Paul Merrill discusses some of the things we can expect to see in the near future. The Future Is Almost Now Obviously, the tools used to test software will change. AI will take care of selecting and managing …

Read More »

5 Ways to Unlock Win-Win Value from IT Services Sourcing Relationships

“Annual global spending on external IT services is about $900 billion” according to McKinsey, but the relationships between IT buyers and providers could be better. Both buyers and providers struggle to set and prioritize their objectives, meaning that neither is fully prepared to work with the other. In an article for McKinsey & Company, Rahil Jogani, Aditya Pande, and Vikrant Shirdade share five ways that sourcing relationships can improve, based off data from hundreds of …

Read More »

There’s No Such Thing as Big Data in HR

An important thing we have to remember when we throw around the term “big data” is that there is nothing inherently special about it—it is just our colorful way of saying, “We have a lot of numbers.” Particular caution should be exercised with big data in HR. In an article for Harvard Business Review, Peter Cappelli dispels notions that big data will solve all of HR’s problems and outlines some more practical considerations for improving …

Read More »

How to Transition into Becoming the CIO the Business Demands

You have been getting hit over the head with this news for a few years now, but—the CIO role has evolved. Research from Deloitte University Press however has examined the specific trends that are emerging in the ways and the reasons that CIOs are transitioning into new roles. Deloitte finds transitions ultimately occur according to three dimensions: time, talent, and relationships. Why a New Role? In the first place, the primary reasons respectively why CIOs …

Read More »

Use the ‘Friday Afternoon Measurement’ to Assess Data Quality

Not all data is good data. In fact, one study involving 75 executives found that only 3 percent of all company data met minimum quality standards. In an article for Harvard Business Review, Tadhg Nagle, Thomas C. Redman, and David Sammon share more results of this study, and they offer a useful way of measuring data quality in your business. Time to Lose Confidence The authors use what they call the “Friday afternoon measurement” (FAM) …

Read More »

4 Steps to Execute a Successful API Strategy

McKinsey finds that upward of $1 trillion in global economic profit is “up for grabs through the redistribution of revenues across sectors within ecosystems,” and APIs are at the heart of it. However, API programs are still far from maturity in many businesses. In an article for McKinsey & Company, Keerthi Iyengar, Somesh Khanna, Srinivas Ramadath, and Daniel Stephens share four steps to help your business develop a worthwhile API strategy: Identify and prioritize the …

Read More »

Reviewing the Purpose and Value of Benchmarking

To the uninitiated, benchmarking just sounds like a fancy way of saying “tracking metrics and progress.” That of course is wrong, but without education, nobody could be blamed for assuming that. In an article for the Balance, F. John Reh with Art Petty provides a useful overview of what benchmarking really is and why it is valuable to business. The Basics Benchmarking is about comparison, internally or externally. Benchmarking is typically “the process of comparing …

Read More »

What CFOs Need to Know for Financial Analytics Success

CFOs know their numbers, but analytics is still a bear for just about everyone in the beginning. A particular problem for businesses right now is that resources are getting tapped out just in the process of producing analytics reports—which leaves no resources leftover to actually interpret them. In an article for Digitalist Magazine, Elizabeth Milne examines the nuances of using analytics in a way that actually pushes business forward. Pillars of Success Drawing from best-in-class …

Read More »

Avoid the Danger Zone of Metrics

When you bundle a lot of computer wires together, it gets hard to figure out which is doing what and why. The same can happen with all of the metrics that IT collects, and it is possible that you are collecting metrics that do not really align with strategy or producing value. In an article for InformationWeek, Dawn Parzych describes how you can stay out of the large “danger zone” of metrics. The Wild Ride …

Read More »

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 …

Read More »

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 …

Read More »

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 …

Read More »