Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Failing Faster
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Failing Faster
Uncategorized

Failing Faster

Jim MacLennan
Jim MacLennan
5 Min Read
SHARE

Here is a simple question to ask yourself: do I insist on solving problems myself? A noble goal, until it takes too long to get the answer. Why don’t we fail fast enough to ask the question to someone who knows? Remember, we pay a ton of money for annual maintenance to our enterprise software providers, so we should [more quickly] be “giving up”, and submitting the question to the “experts” to get to answers quickly.

In an earlier post, I asked Would you like me to Google that for you?, which is kind of a sideways slam – IT people can and should be able to get questions answered on their own. So, why is it that some folks search Google or consult other experts, and get their questions answered quickly – versus insisting on figuring things out for themselves? My personal theory is that they’re not “lazy” enough; I’ve got many other things to do, so I want to find a quick way to answer those questions. (Note that laziness also makes me want to find the good, solid solution and not the quick-and-dirty one, because I don’t want to have to come back later – I’m proactively lazy.)

It possibly has something to do with maintaining face in front of your manager (“I think someone expects .. …

More Read

Time to get bullish on SOA, IT, and the economy
Decision Management Event Calendar for June 12 2009
How The Internet of Things Will Create a Smart World [INFOGRAPHIC]
Why No Regulation of Offshoring: Untangling the Gap Between Rhetoric and Action
Next Gen Research is and What it isn’t? – Biometric Research

Here is a simple question to ask yourself: do I insist on solving problems myself? A noble goal, until it takes too long to get the answer. Why don’t we fail fast enough to ask the question to someone who knows? Remember, we pay a ton of money for annual maintenance to our enterprise software providers, so we should [more quickly] be “giving up”, and submitting the question to the “experts” to get to answers quickly.

In an earlier post, I asked Would you like me to Google that for you?, which is kind of a sideways slam – IT people can and should be able to get questions answered on their own. So, why is it that some folks search Google or consult other experts, and get their questions answered quickly – versus insisting on figuring things out for themselves? My personal theory is that they’re not “lazy” enough; I’ve got many other things to do, so I want to find a quick way to answer those questions. (Note that laziness also makes me want to find the good, solid solution and not the quick-and-dirty one, because I don’t want to have to come back later – I’m proactively lazy.)

It possibly has something to do with maintaining face in front of your manager (“I think someone expects me to figure this out …”). Corporate culture may tend towards a desire to get something “done to quality”; I have to get 100% of my requirements into the finished project, and if it takes a long time – so be it. Or, it could just be that you are lost in the problem, and are not aware that time is flying and nothing is happening.

It may take a bit of humility, but the truth is often more humbling – folks don’t care if you solve the problem, they just want the problem solved.

However, it is also true that when the dust settles, people will remember that you got the problem resolved – method is less important than results.

Previously …

  • There ain’t much IT in IT Management (May 7, 2008)
  • Facilitating Innovation: Establishing an Environment of Possibilities (August 22, 2008)
  • A Plea for Empathetic Communication (November 16, 2008)
  • KM Overcomplicates: Heisenberg Impact on a VBA Quickie (February 8, 2009)
  • Would you like me to google that for you? (March 11, 2009)
  • Practical Innovation Lessons from Software Vendor R&D (April 16, 2009)

Technorati Tags: collaboration, design, development,
people management, productivity, project management, tech management

Invisible Technorati Tags: cazh1, James P. MacLennan, jpmacl, MacLennan

Share This Article
Facebook Pinterest LinkedIn
Share
ByJim MacLennan
Follow:
Jim MacLennan is Senior Vice President and Chief Information Officer at IDEX Corporation, a Fortune 1000 manufacturer that sells highly engineered products in a variety of markets worldwide. MacLennan has responsibility for Corporate IT services for all IDEX business units, and also drives innovation through initiatives that leverage Information and Technology as growth drivers for the industrial manufacturing space. He regularly publishes his observations and insights on the intersection of business and technology - check out his work at www.cazh1.com.

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Freescalin’ at the Gartner BI Summit

8 Min Read

Sun Tzu and the Art of Data Quality

6 Min Read

Upcoming Google NYC Talk: Reconsidering Relevance

3 Min Read

Change Management and Data Governance

3 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?