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 – November 23, 2014 Edition

http://www.dreamstime.com/-image17149277Fresh 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!

A baseline is necessary to gauge and to validate the results produced by machine learning algorithms. Jason Brownlee describes why we create a baseline prediction result and how to create a baseline in general and for specific problem types. How To Get Baseline Results And Why They Matter (Machine Learning Mastery)

From KDNuggets, Burtch Works details the top 9 data science skills that potential data scientists must have to be competitive in this growing marketplace from the perspective of a recruiter. 9 Must-Have Skills You Need to Become a Data Scientist (KDNuggets)

Accurate asset tracking and management can be an enormous task for any IT organization. In a four-part series, Marcel Shaw describes a three-tiered approach to assets management. IT Asset Management, a three-tiered approach  IT Asset Management, a Three-Tiered Approach (Part 2 of 4)  IT Asset Management, a Three Tiered Approach (Part 3 of 4)  IT Asset Management, a Three-Tiered Approach (Part 4 of 4) (LANDESK Blog)

Bob Lewis points out many enterprise technical architecture management (ETAM) efforts suffer from the pitfall where it cannot keep up with the changes within the organization. He further suggests that perhaps an agile approach to ETAM will be necessary. Technical architecture’s irreducible core (IS Survivor Publishing)

A well-known problem troubleshooting and root-cause analysis technique has been the Five Why’s. John Allspaw argues that, for maximum learning effectiveness, we also need to ask more questions about the How’s. The infinite hows (O’Reilly Radar)

Every organization needs to assess its information security readiness from time to time and implement improvements or remediation when necessary. Chris Sell walks through the four steps that are critical for every information security gap analysis. How To Conduct An Information Security Gap Analysis (SunGard)

Although analytics projects are often at the top agenda for organizations these days, many of those organizations are still struggling to identify the business problems where analytics could generate measurable ROI. Pearl Zhu suggests the ways organizations can use to improve their analytics ROI. How can Organizations Improve their Analytics ROI (Future of CIO)

For most of us, it is easier to see our behavioral challenges in others than to see them in ourselves. From his own experience, Marshall Goldsmith discusses two important life lessons he had learned about addressing those challenges from within. 2 Life-Changing Lessons No One Ever Taught You (Marshall Goldsmith Personal Blog)

Fresh Links Sundae – November 2, 2014 Edition

http://www.dreamstime.com/-image14628852Fresh 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!

Thomas Redman believes that managers should rarely take an important analysis at face value. He explains how data can be interpreted to tell one story but still fail to present the whole picture. When It Comes to Data, Skepticism Matters (Harvard Business Review)

Like all technology implementation efforts, cost benefits analysis should be part of a NoSQL implementation. William Vorhie explains what the two categories of benefit in NoSQL are and how to quantify them. Quantifying the Value of a NoSQL Project (Data Science Central)

Most of us think of taking meeting notes as merely a mundane transcription exercise. Bob Lewis would argue that taking and publishing the meeting notes is one of the most important jobs in a meeting. Notes about notes (IS Survivor Publishing)

Glen Alleman would advocate that, in order to make good decisions, we require good estimates. He explains five decision-making processes and how to incorporate sound estimating effort into those processes. Decision Making Without Estimates? (Herding Cats)

Understand the algorithm is a critical element of leveraging machine learning techniques effectively. Jason Brownlee outlines five ways to study and learn about machine learning algorithms. How to Study Machine Learning Algorithms (Machine Learning Mastery)

Many organizations do not have an organized approach to handling major IT incidents, and, as a result, they compromise their abilities to capture valuable lessons. Ryan Ogilvie discusses the four stages of a major incident handling and what challenges we need to overcome. Not Doing Proper Post Incident Reviews Could Haunt You (Service Management Journey)

Many organizations spend a great deal of effort on IT benchmarking but often get back the results that have little impact. Pearl Zhu discusses how to do benchmarking effectively in order to get the most impactful results from the effort. Is IT Benchmarking valuable or a Waste? (Future of CIO)

With the current and future landscape of tools, technologies, and processes, the IT environment has been changing in a fast and dramatic pace. Chris Riley discusses the challenges IT and Operations will face now and into 2015 and how to address those challenges. 6 Challenges Facing DevOps and Operations Teams in 2015 (logentries)

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)

Fresh Links Sundae – September 21, 2014 Edition

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!

In a 9-part series, William Vorhies discusses the important considerations that can help you determine which NoSQL technology is appropriate for your project. Parts one through five are listed here to start things out. 9 Lessons: Picking the Right NoSQL Tools  Lesson 2: NoSQL Databases are Good for Everything – Except Maybe this One Thing  Lesson 3: Open Source, Distribution, or Suite  Lesson 4: Features Common to (Most) NoSQL/NewSQL Databases  Lesson 5: Key Value Stores (AKA ‘Tuple’ Stores) (Data Science Central)

Cloud computing is here to stay, and many organizations have begun implementing their private clouds. Thomas Bittman talks about ten reasons why most organization fails to get the most out of their private cloud efforts. Why Are Private Clouds Failing? (Gartner Blogs)

Many organizations hire for skills and aptitude, but are there other elements that play an even more critical role in the organization’s success? Stephen Mann suggests that the attitude of the IT staff can go a long way in shaping and promoting their organization’s chance to succeed. Working In IT: Does Your Attitude Determine You… (ServiceNow)

Effective software asset management (SAM) is a crucial component of any IT operation, but the scope of SAM needs to be well-defined and precise, or it could become unmanageable quickly. Brent Jarnell talks about what to consider when designing your SAM practice. Setting the scope in SAM design (The ITAM Review)

When operating a complex system, it is often difficult to grasp the potential connections between many data sources which are part of the system. Rita McGrath explains how predictive analytics can now help organizations gain more insights into their business by bringing more disparate data stores together. To Make Better Decisions, Combine Datasets (Harvard Business Review)

When adopting a non-waterfall project management practice, some organizations had to face the decision of whether to adopt Scrum or Kanban. Simon Morris discusses the similarities and differences of those two approaches and how to be successful with either. Scrum vs. Kanban (The ITSM Review)

Many IT organizations have a significant portion of their budget goes into maintaining operations and application portfolio. Pearl Zhu gives suggestions on managing a balanced IT portfolio and how to run IT more effectively. IT Portfolio Management (Future of CIO)

Conducting proof-of-concept (POC) projects to test out a new idea is a popular approach, but many POC efforts fall into the traps of wasted valuable time and resources. Bob Lewis talks about how to avoid those traps when conducting POCs. How to prove a proof of concept (IS Survivor Publishing)

Fresh Links Sundae – August 10, 2014 Edition

??????????????????????????????????????????????????????????????????????????????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!

In many organizations, processing information accurately can have a material impact on the financial bottom line. When the data volume is very large, finding inaccuracy within the data sets can be a big challenge. Thomas Redman recommends a list of steps that managers can use when dealing with such challenge. Even the Tiniest Error Can Cost a Company Millions (Harvard Business Review)

Even after nearly 20 years since the emergence of IT Architecture as a discipline, there is still much confusion surrounding what architects supposed to do. Stephen Lahanas proposes five guidelines to help clarify. The 5 Rules of IT Architecture (Technovation Talks)

Edward De Bono’s six thinking hats have seen many creative uses in disciplines other than just education. Debleena Roy discusses how the six hats can also be applied to be successful in the data science field. Six Thinking Hats and the Life of a Data Scientist (KDnuggets)

Some may hold the belief that IT does not matter because it is a commodity. The digital trend shows that IT does matters more, and companies that lacked the skills to manage IT effectively can suffer compared with competitors that had mastered those skills. Pearl Zhu talks about ways where organizations can manage IT more effectively. Digital Trend: IT Matters More (Future of CIO)

In IT organizations, good quality changes present the right information to the right people to make the right decision. Rob Spencer outlines the common reasons for poor quality in a change request and what actions the change managers can take to improve it. Back to basics: why your change fell at the first hurdle (ITSM Review)

What are the differences between data science, data mining, machine learning, statistics, and so on? Vincent Granville compares several analytic disciplines that overlap and explains the differences and similarities. 16 analytic disciplines compared to data science (Data Science Central)

Some organizations classify break/fix as standard changes, which usually get approved automatically and do not require impact assessment. Ryan Ogilvie explains why such setup is rarely a good idea. Practice Shouldn’t Always Make Perfect – Using Standard Changes for Break/Fix (Service Management Journey)

When taking on a difficult challenge in the organization, some leaders may opt to delegate the responsibility to one of their star direct-reports. While delegating difficult issues is tempting, Susan Cramm believes that it can only lead to disappointment. She discusses an example why strategic, change-oriented initiatives will likely require hands-on leadership by senior executives. Lead by Doing, Not by Delegating (Strategy+Business)

Fresh Links Sundae – June 29, 2014 Edition

dreamstime_xs_34568759-240x170Fresh 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!

Cloud computing is becoming widely adopted, and yet, many organizations still do not fully understand the advantages and challenges that come with cloud computing. Tom Bittman discusses three perceptions of “cloud computing” and how organizations can evaluate cloud computing from all angles to get the most value out of it. How to Create a Cloud Strategy That Fails Big! (Gartner Blogs)

Public cloud offering might be economically attractive, but the lack of customization and other security considerations can present challenges of their own. Brent Bensten explains why not all applications, services, and frameworks are built for cloud computing and how to deploy the right tool for the job. How to choose between custom and commodity clouds (InfoWorld)

Many people define KPIs for their IT service management processes by looking in books or by copying what others do; however, that is rarely going to give good results. Stuart Rance outlines a list of critical success factors (CSFs) and KPIs that organizations can leverage to design a set of problem management measurements. The critical test is to ensure those measurements will derive metrics about the things your organization cares about. Defining Metrics for Problem Management (SysAid)

The DevOps concept is being experimented or adopted in many organizations. For many IT operational teams, implementing a DevOps model within their own organizations still presents many challenges. Alex Honor discusses those challenges and make recommendations on how the development and the operational teams can work together to overcome those challenges while minimizing risks. Common Objections to DevOps from Enterprise Operations (dev2ops)

While there are many cloud-based disaster recovery (DR) and business continuity (BC) offerings that present excellent value, it’s also true that many data protection vendors do not leverage the same definitions when classify their products as cloud-based “DR” or “BC” solutions. Lynn LeBlanc explains what are the four essential DR/BC capabilities when evaluating a potential cloud-based DR/BC offering. Evaluation Criteria for Your Cloud-based Data Protection Solutions (Data Center Knowledge)

Many organizations have their own change management process, but often the process is rigidly applied and not leveraged correctly for its true value to aid the business. Jon Morley illustrates how we can build on our existing change processes and bring them together to help develop an end-to-end change management solution that works for your organization. Advice for Building Your House of Change Management (The ITSM Review)

Cost, schedule, and performance are the most critical aspects we try to manage for every project. We can think of them as three biggest random variables we need to measure and control in order to succeed in a project. Glen Alleman shows how we can measure and estimate these random numbers with a reasonable level of confidence and margin for errors. All Project Numbers are Random Numbers — Act Accordingly (Herding Cats)

A critical component of a capable IT service management practice is the establishment of a Continual Service Improvement process. Building or changing organizational culture, however, is not so easily done because traditions are closely held as norms, values, and beliefs. Pearl Zhu recommends a four-step approach for shaping a continuous-improvement culture in your organization. A Continuous-Improvement Culture (Future of CIO)

Fresh Links Sundae – June 15, 2014 Edition

http://www.dreamstime.com/-image9076544Fresh 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.” Here are the first five installments of the series. ITIL Newbie Mistake #1: Too Much Focus on the Processes ITIL Newbie Mistake #2: Certified and Done ITIL Newbie Mistake #3: Focusing on Processes First ITIL Newbie Mistake #4: Attempting a Project in Isolation ITIL Newbie Mistake #5: Developing a Service Catalog without Considering Business Needs (Global Knowledge Training Blog)

Using Forrester’s research data, Kate Leggett illustrates what is the most important factor in good customer service and recommends approaches for organizations to offer excellent service. Surprise! Customer Service Doesn’t Need To Be Delightful – Just Effective (Forrester Blogs)

These days, picking an appropriate public cloud provider can be a daunting task due to the large number of provider choices. Sarah Chapman and Leonard Whitten outline the factors you should consider when evaluating your public cloud provider options. Pick Your Public Cloud Providers Like You Would Pick Your Hotel (SUNGARD AVAILABILITY SERVICES BLOG)

Many IT organizations believe they provide adequate services but rarely take the necessary effort to assess themselves. Ryan Ogilvie believes that on-going dialogues with the customer are essential for IT to validate its own performance. Performing ITSM Self Assessments – Don’t Wait too Long (Service Management Journey)

Some people would advocate that estimating is a waste, and project decisions can be made without estimating. Glen Alleman argues that executing projects without estimating is like driving in the dark with the lights off, not a prudent business move under any circumstance. An Agile Estimating Story (Herding Cats)

Pearl Zhu believes that a well-designed dashboard can serve as an effective management tool to enable business leaders to make better decision. She recommends a list of measurements and KPIs within which a comprehensive CIO Dashboard should include. CIO Dashboard (Future of CIO)

Martin Grobisen believes that advanced IT service management tools need not only apply to IT functions. The automation and management tools also can be applied to line-of-business processes to drive innovation across departments. He suggests some potential business cases which can be supported with IT service management tools. 7 Quick Ways to Take Advantage of Process Automation for Line-of-Business (ITSM Lens)

For many organizations, the deficiency in trust causes a great deal of tension between IT and the lines of business. Kevin Lees discusses how IT can overcome such deficiency to gain true business alignment. How IT Can Transform “Trust Debt” into True Business Alignment (VMware CloudOps)

Fresh Links Sundae – May 25, 2014 Edition

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!

For organizations that want to run IT as a business, how should IT price its services and charge its internal customers? Bob Lewis discusses the three broad cost categories for invoicing. Chargebacks – tips and techniques (IS Survivor Publishing)

The value of data in business is a popular discussion these days. For managers who want to learn more about how information is being captured, quantified, and used to make business decisions, Walter Frick has a reading list to get those managers started. An Introduction to Data-Driven Decisions for Managers Who Don’t Like Math (Harvard Business Review)

IT has a critical mission of helping business drive success; therefore, the business needs to share responsibility for IT investments and projects as well. Pearl Zhu recommends how CIOs and CFOs can build a strong relationship for IT governance effectiveness and efficiency. CIO-CFO Collaboration for IT Governance (Future of CIO)

With Agile, many organizations have a heavy focus on value generation. While value generation is important, Glen Alleman cautions that focusing on value in the absence of focusing on cost of that value can be a going-out-of-business strategy. To Stay In Business You Need to Know Both Value and Cost (Herding Cats)

Many organizations experience a common pitfall in implementing ITSM – they were investing effort in creating and maintaining configuration information but getting little or no value from their investment. Stuart Rance suggests a list of improvements that every organization should consider. What’s the Point of Configuration Management? (SysAid Blog)

Dan Kane has found that usually the most overlooked part of organizational change is that of consequences and rewards. He believes that every successful process/organizational change does three things thoroughly and well. The Big 3 Questions of Consequence (Hazy ITSM)

Courtney Nash believes that we might have reached a point in software development where we can no longer understand, see, or control all the parts because they are increasingly complex and distributed. She also has some recommendations on what we can do to develop and manage systems with an enormous degree of sophistication and complexity. Everything is distributed (O’Reilly Radar)

Many of us take on the challenge of making changes and find the changes can be both time-consuming and hard to do. Marshall Goldsmith recommends that having the courage to face the truth up front when setting goals can help us stick to the plan. The Five Reasons We Give Up (Marshall Goldsmith Personal Blog)

Fresh Links Sundae – May 4, 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!

To save costs and prepare for adoption of next-generation infrastructure technology, leading organizations are adopting commercial-style demand and service management. Himanshu Agarwal, Leandro Santos, and Irina Starikova describe the attributes of effective demand and service management for an IT organization. Managing the demand for IT infrastructure In a related article, Chandra Gnanasambandam, Michael Huskins, and Kara Sprague talk about overcoming several challenges of implementing the next generation of IT infrastructure. Next-generation IT infrastructure (McKinsey & Company)

In IT, we spend a great deal of time discussing the value of adopting ITSM. Earl Begley outlines the things we have to do in ITSM to help drive adoption, but are not covered in the typical ITIL courses. Things I didn’t learn in ITIL school (ITSM Review)

Configuration management supports the management of cloud services by providing information crucial to the other service management processes. Kai Holthaus discusses three common cloud-based models and the configuration management aspects to keep in mind for each model. Configuration Management in the Cloud (VMware Blogs)

Many IT organizations respond to calls, emails and chat session requests quickly, but those requests were then sent elsewhere for action. As a result, things slowed down significantly and IT customers still are not happy with the interaction with IT. Robert Stroud explains why today’s support centers cannot just “log and flog.” Close the Loop on “Log and Flog” Service Management (CA Service Management)

With the technology becomes more accessible, more business executives are willing to lead technology initiatives. Business-led IT initiatives are here to stay, but many business teams still struggle. Raf Gelders discusses ways IT can help the business teams extract value from their technology investments. Why Not All Business-Led IT Takes Off (CIO Leadership Council)

Although data analysis is at top priority of many businesses these days, the ROI and success rate of such projects are still very low. Pearl Zhu explains what the challenges are and how to overcome them. The Brutal Truth about Data Analysis (Future of CIO)

It can be difficult to get it right when estimating software development projects in an agile paradigm. Glen Alleman tackles three common estimating situations and recommends approaches for those situations. How To Fix Martin Fowler’s Estimating Problem in 3 Easy Steps (Herding Cats)

When asked about what changes that can be made to manage more effectively, many C-level executives believe they should delegate more. Marshall Goldsmith argues that, when it comes to delegation, quality still trumps quantity. Don’t Delegate More – Delegate More Effectively (Marshall Goldsmith Personal Blog)