Tag: Mike DePolis

Fresh Links Sundae – December 7, 2014 Edition

http://www.dreamstime.com/-image28379626Fresh 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!

Having a functional architecture is a key to deriving IT values for any organization, and architecture calls for sound design principles. Bob Lewis recommends at least five areas to consider when putting together the design principles for your architecture. Ben Franklin, turkeys, and design principles (IS Survivor Publishing)

As we jump from one data analytics problem to another, we often need to get up to speed on a new dataset quickly. A classical and under-utilized approach for becoming familiar with the new data problem is Exploratory Data Analysis (EDA). Jason Brownlee explains the EDA techniques and tactics that you can use. Understand Your Problem and Get Better Results Using Exploratory Data Analysis (Machine Learning Mastery)

Verified inventory is one of the several key elements of IT assets management success. Martin Thompson shares techniques he has used in the past to verify hardware inventory. Verifying Asset Accuracy (The ITAM Review)

As business analysts, there will always be value in getting more done well and in less time. Laura Brandenburg talks about some of the most common time wasters she sees in business analysis. 5 Business Analyst Time-Wasters (Bridging the Gap)

For many organizations, an ITSM initiative often represents a major change, and Organizational Change Management (OCM) is the centerpiece to success. Mike DePolis discusses some of the most important aspects and actions to consider for an OCM effort in your organization. Project success with Organizational Change Management (OCR) (The ITSM Review)

Many organizations still perceive data quality projects to be a technical endeavor, but data quality requires an on-going, consistent change management effort. Such changes can often result in fear and resistance. Dylan Jones discusses ways to combat the fear and resistance to changes. Data quality mastery depends on change management essentials (The Data Roundtable)

Data or information Management within an organization can be at risk when data are in bad shape. Strong governance practices and stewardship can minimize risks and improve productivity. Pearl Zhu outlines the signals we should pay attention to when handling data governance within your organization. How to Capture the Signals of Data Governance Issues (Future of CIO)

Marshall Goldsmith believes how you define yourself will impact how successful you are at your job and even how happy you will be in life. He outlines four sources from which we can define our identity and encourages us to think about the considerations that go into how we define ourselves. Why You Should Get a Handle on Your Identity (Marshall Goldsmith Personal Blog)