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
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: CIOs need to measure the right things
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Culture/Leadership > CIOs need to measure the right things
Culture/LeadershipInside CompaniesJobs

CIOs need to measure the right things

MIKE20
MIKE20
5 Min Read
SHARE

If you’re a Chief Information Officer (CIO) there are three things that your organization expects of you: 1) keep everything running; 2) add new capabilities; and 3) do it all as cheaply as possible.  The metrics that CIOs typically use to measure these things include keeping a count of the number of outages, number of projects delivered and budget variances.  The problem with this approach is that it fails to take account of complexity.

If you’re a Chief Information Officer (CIO) there are three things that your organization expects of you: 1) keep everything running; 2) add new capabilities; and 3) do it all as cheaply as possible.  The metrics that CIOs typically use to measure these things include keeping a count of the number of outages, number of projects delivered and budget variances.  The problem with this approach is that it fails to take account of complexity.

When I talk with senior executives, regardless of their role, the conversation inevitably turns to the frustration that they feel about the cost and complexity of doing even seemingly simple things such as preparing a marketing campaign, adding a self-service capability or combining two services into one.  No matter which way you look at it, it costs more to add or change even simple things in organisations due to the increasing complexity that a generation of projects have left behind as their legacy.  It should come as no surprise that innovation seems to come from greenfield startups, many of which have been funded by established companies who’s own legacy stymies experimentation and agility.

More Read

Long-Range Planning Does Not Work in Isolation
Data Analysis Can Transform HR Department Processes
The Federal Government Should Fund More Data Pilot Projects
Information Systems Careers Are the New Frontier of Big Data
Big Data: A Revolution That Will Transform How We Live, Work, and Think

This doesn’t have to be the case.  If a CIO accepts the assertion that complexity caused by the legacy of previous projects is the enemy of agility, then they should ask whether they are explicitly measuring the complexity that current and future projects are adding to the enterprise.  CIOs need to challenge themselves to engineer their business in such a way that it is both flexible and agile with minimal complexity compared to a startup.

The reason that I spend so much time writing about information rather than processes or business functions is that the modern enterprise is driven by information.  So much so, that metrics tracking the management and use of information are very effective predictors of issues with the development of new processes and obstacles to the delivery of new functionality.  There appear to be no accurate measures of the agility of enterprise technology that focus on just processes or functions without information but there are measures of information that safely ignore processes and functions knowing that well organized information assets enable new processes and functions to be created with ease.

The CIO who wants to ensure their organisation has the capability to easily implement new functions in the future should look to measure how much information the organization can handle without introducing disproportionate complexity.  The key is in structuring information assets in such a way as to ensure that complexity is compartmentalized within tightly controlled units with well understood boundaries and properly defined interfaces to other information assets.  These interfaces act as dampeners of complexity or turbulence, allowing for problems or changes to be constrained and their wider impact minimized.

Creating such siloes may seem to go against conventional wisdom of having an integrated atomic layer and enterprise approach to data.  Nothing could be further from the truth, it is simply ensuring that the largest possible quantity of information is made available to all stakeholders with the minimum possible complexity.

The actual measures themselves are described in my book, Information-Driven Business,  as the “small worlds data measure” for complexity and “information entropy” for the quantity.  Applying the measures is surprisingly easy, the question each CIO then needs to answer is how to describe these measures in a way that engages their business stakeholders.  If technology leaders are hoping to avoid difficult topics with their executive counterparts then this will be impossible, but if they are willing to share their inside knowledge on modern information technology then the “us and them” culture can start to be broken down.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Diverse Research Datasets
The 5 Best Platforms Offering the Most Diverse Research Datasets in 2026
Big Data Exclusive
macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Reclaim email as a business tool

5 Min Read

The Amateur Data Scientist and Her Projects

5 Min Read

Maximizing the Value of On-demand Business Intelligence for Small and Medium Enterprises

1 Min Read

Please put the shower curtain inside the bathtub!

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
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?