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)

Fresh Links Sundae – October 19, 2014 Edition from #SMFUSION14

FUSION14Header

NOTE: This is an abbreviated post from FUSION 14 in Washington. DC. If you are there this week, I appreciate you coming out to support the Chapter and the Conference #SMFUSION14.

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!

Roll over Dogbert’s Tech Support, the application economy is here by Robert Stroud (CA Technologies)

Your Relationship with Metrics by Mark Dalton (HDIConnect)

Problem Management – The value in not knowing by Ryan Ogilvie (Service Management Journey)

Where Art Thou Hadoop? by Svetlana Sicular (Gartner Blogs)

16 Options To Get Started and Make Progress in Machine Learning and Data Science by Jason Brownlee (Machine Learning Mastery)

How to re-balance a data migration project plan by Dylan Jones (The Data Roundtable)

Project Risk Management, PMBOK, DoD PMBOK and Edmund Conrow’s Book by Glen Alleman (Herding Cats)

What Peter Drucker Knew About 2020 by Rick Wartzman (Harvard Business Review)

Fresh Links Sundae – September 28, 2014 Edition

http://www.dreamstime.com/stock-image-sundae-image13526471Fresh 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!

In a 9-part series, William Vorhies discusses the important considerations that can help you determine which NoSQL technology is appropriate for your project. I featured parts one through five last week. We feature parts six through nine here to wrap things up. Lesson 6: Document Oriented Databases  Lesson 7: Column Oriented Databases (aka Big Table or Wide Column)  Lesson 8: Graph Databases  Lesson 9: Making Your Selection – Final Considerations (Data Science Central)

Today’s business leaders need to understand enough about data analytics in order to begin to appreciate the opportunities possible by leveraging data. Alex Jones discusses a variety of different data analytics approaches along with their advantages and limitations from a business leader’s perspective. Data Analytics for Business Leaders Explained and Advanced Data Analytics for Business Leaders Explained (KDnuggets)

Many organizations believe they must hire data scientists from outside who will come with both broad and extensive background in order to succeed. Michael Schrage recommends a different approach in which organizations grow their data science talents from within the enterprise. Stop Searching for That Elusive Data Scientist (Harvard Business Review)

Analytics project is one of the top priorities for many organizations these days. IT is in a unique position to play a pivotal role in managing the full information life cycle. Pearl Zhu explains how CIOs can take on the adventure of analytics projects and deliver the business value from deploying them. CIO as Chief Analytics Officer (Future of CIO)

Data migrations are rarely an attractive of projects to sponsor. On occasions, the migration activities can be seen a difficult, bitter pill to take in and digest. Dylan Jones outlines the areas where the sponsors for data migration projects need to have considerable input and oversight. Are you a data migration sponsor? A reminder of your responsibilities. (The Data Roundtable)

Spreading the good news of business intelligence (BI) technology requires marketing, but good news alone will not be enough to move people to action. Max Russell explains how IT can leverage good marketing practices to improve its effectiveness in implementing and supporting BI in the enterprise. Marketing IT In-House: Good News Is Not Enough (TDWI)

Cloud computing has changed how IT operate and interact with its business constituents. Pierre Moncassin discusses how IT needs to transform itself towards providing services in a software-defined data center environment. A New Angle on the Classic Challenge of Retained IT (VMware CloudOps)

Decision making is the most prominent and critical element of a leader’s responsibility. When it comes to effective decision making, Eric McNulty outlines the four key tests of any critical decision. The Four Rs of High-Stakes Decision Making (Strategy+Business)