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
    big data and customer service outsourcing
    How Data Analytics Improves Customer Service Outsourcing
    18 Min Read
    How a Specialized Marketing VA Improves Campaign Analytics
    How a Specialized Marketing VA Improves Campaign Analytics
    11 Min Read
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Enterprise 2.0 Pilots
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Enterprise 2.0 Pilots
Business IntelligenceCRM

Enterprise 2.0 Pilots

PhilSimon
PhilSimon
4 Min Read
SHARE

Andrew McAfee started an interesting discussion recently with his post Drop the Pilot. McAfee makes no bones about the fact that he isn’t a big fan of pilots for Enterprise 2.0 projects. Both in the comments and in subsequent posts by people like Phil Green, many have weighed in with their thoughts on these type of pilot projects. It’s high time for me to chime in.

My Definition of Enterprise 2.0

Before continuing, a definition is in order. I don’t define E2.0 in the same way that McAfee does in his eponymous book or on his blog. McAfee’s definition largely focuses on collaboration and social software in the enterprise. I go a bit further.

More Read

Denver Broncos and Olympians Go Digital
“Robin Qiu asked me to write a first editorial for the newly launched on-line Service Science…”
Big Data Analytics in Latin America: Stormy Waters, but the Tide is Rising
Using Big Data in 2016: How it Can Help Your Business
Mobile BI Isn’t Only About Mobile

In The Next Wave of Technologies, I define Enterprise 2.0 a bit more broadly to include emerging technologies such as SOA, MDM, SaaS, clouds, BI, social networking, open source, and others. From my book’s first chapter:

Simon Says: Context Matters

As for the pros and cons of pilots, I understand both sides of the argument. Consider two extremes:

  • Company X: A large and overly complex organization with a terrible history of managing IT projects, a dysfunctional culture, non-existent data governance, and other …

Andrew McAfee started an interesting discussion recently with his post Drop the Pilot. McAfee makes no bones about the fact that he isn’t a big fan of pilots for Enterprise 2.0 projects. Both in the comments and in subsequent posts by people like Phil Green, many have weighed in with their thoughts on these type of pilot projects. It’s high time for me to chime in.

My Definition of Enterprise 2.0

Before continuing, a definition is in order. I don’t define E2.0 in the same way that McAfee does in his eponymous book or on his blog. McAfee’s definition largely focuses on collaboration and social software in the enterprise. I go a bit further.

In The Next Wave of Technologies, I define Enterprise 2.0 a bit more broadly to include emerging technologies such as SOA, MDM, SaaS, clouds, BI, social networking, open source, and others. From my book’s first chapter:

Simon Says: Context Matters

As for the pros and cons of pilots, I understand both sides of the argument. Consider two extremes:

  • Company X: A large and overly complex organization with a terrible history of managing IT projects, a dysfunctional culture, non-existent data governance, and other undesirable attributes.
  • Company Y: A nimble startup with few hurdles, relatively good data, and a successful history of agile software development.

How can one credibly make the claim that Company X should undertake even a small Enterprise 2.0 pilot? Let’s say that Company X wanted to move their apps and data over to the cloud. They would just be adding further complexity to their existing architecture. On the other hand, Company Y can probably jump in with both feet.

These are two extremes and obviously most organizations and IT projects will fall in between them. Industry, type of application, organizational culture, risks, rewards, and other factors need to be considered before undertaking a pilot project. I hate to sound like a traditional consultant, but it depends on many variables. To me, an unequivocal stance makes little sense.

Feedback

What do you think?

Original post.

 

TAGGED:enterprise 2.0 (e2.0)it projectssaas
Share This Article
Facebook Pinterest LinkedIn
Share
ByPhilSimon
Phil Simon is a recognized technology authority. He is the award-winning author of eight management books, most recentlyAnalytics: The Agile Way. He <consults organizations on matters related to communications, strategy, data, and technology. His contributions have been featured on The Harvard Business Review, CNN, The New York Times, Fox News, and many other sites. In the fall of 2016, he joined the faculty at Arizona State University’s W. P. Carey School of Business.

Follow us on Facebook

Latest News

big data for non-QR lending in real estate
How Real Estate Investors Can Use Big Data for Non-QM Lending
Big Data Exclusive
ai video ad generation
How to Build High-Performing Ad Creatives with an AI Short Ad Video Maker?
Artificial Intelligence
big data and customer service outsourcing
How Data Analytics Improves Customer Service Outsourcing
Analytics Exclusive
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
The End of Unstructured Marketing: Forcing Generative AI into Strict HTML Schemas
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Recently Read 02/10/2010

6 Min Read

The Technology Adoption Life Cycle

6 Min Read

An Enterprise 2.0 Framework for Success

10 Min Read
SaaS Real-time
Best PracticesBig DataBusiness IntelligenceData ManagementData WarehousingITSoftwareSQL

Real-Time Access to SaaS Data

5 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?