Fresh Links Sundae encapsulates information I have come across during the past week. Often they are from the people whose work I admire or resonate with me. I hope you will find these ideas thought-provoking at the minimum. Even better, I hope these ideas will, over time, help my fellow IT pros make better decisions, be awesome, and kick ass!
Brady Orand and Global Knowledge are running a blog series “11 Common Mistakes of ITIL Foundation Newbies.” I had already featured the first five posts several weeks ago. Here are the last six installments of the series. ITIL Newbie Mistake #6: Being Too Process Focused ITIL Newbie Mistake #7: CAB Meeting Burnout ITIL Newbie Mistake #8: Too Much ITIL Talk ITIL Newbie Mistake #9: Relying on Templates ITIL Newbie Mistake #10: Expecting a Tool to Do the Work ITIL Newbie Mistake #11: Thinking You’re Done. Ever. (Global Knowledge Training Blog)
Some manufacturers’ processing environments can have extreme swings in variability. As a result, those manufacturers need a more granular approach to diagnosing and correcting process flaws. Eric Auschitzky, Markus Hammer, and Agesan Rajagopaul discuss how advanced analytics can provide just such an approach. How big data can improve manufacturing (McKinsey & Company)
In his 20+ years of working in the IT industry, Barclay Rae continues to work with organization on fielding similar ITSM questions. He discusses the most important element for ITSM success that even trumps SLAs and KPIs. Do you have an SLA with your spouse..? (Barclay Rae Website)
Many organizations implements ITSM but neglect to have a CSI process in place. Stuart Rance talks about why he believes CSI is one of the biggest opportunities we have to create value for our IT customers. Building a CSI culture (The ITSM Review)
Many people talk about business digitalization as a portfolio of discrete game-changing technologies. Bob Lewis would argue that the digitization movement is different than what most people think because many have a false assumption about the digitization trend. The assumption of pervasive technology (IS Survivor Publishing)
To most people, innovation is risky, plagued with challenges, and hard to do successfully. Daniel Burrus illustrates how we can predict the changes accurately and be a great innovator. How to Transform Innovation ROI by Using the Science of Certainty to Accelerate Results (Daniel Burrus)
With the availability of many cloud technology and SaaS offering, companies are considering whether to leverage cloud for business intelligence and data analytics activities. John Myers discusses the emerging field of data analytics as a service and what criteria should an organization consider to determine whether it is ready for business analytics. Why Data Analytics as a Service? (EMA Blogs)
Many organizations are setting up the data analytics practice using big data technologies. Andrew Oliver outlines the top 10 worst practices to avoid. The 10 worst big data practices (Strategic Developer)
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