We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Top 3 Reasons You Need a Chief Data Officer
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 > Best Practices > Top 3 Reasons You Need a Chief Data Officer
Best PracticesBusiness IntelligenceCulture/LeadershipInside CompaniesPolicy and Governance

Top 3 Reasons You Need a Chief Data Officer

Brett Stupakevich
Brett Stupakevich
4 Min Read
Top 3 Reasons You Need a Chief Data Officer
Illustrative image generated with OpenAI gpt-image-1.
SHARE

In order for any business to realize the value of its data, the data should be activity managed across the entire organization. And that means someone should have clear responsibility for the data.

But who should that be?

According to Capgemini, that person should be the chief data officer (CDO).

Unlike the chief information officer and the chief technology officer who are concerned with the technological infrastructure of an organization, the CDO is focused on the quality, management, governance and the availability of data.

More Read

Data Mining Search Engine Update
Data Mining Search Engine Update
Benefits of Using Drupal to Create a Website with AI Capabilities
How Fintech is Using Web Data For Financial Intelligence
When the customer knocks you need decision management not operational BI
Scoring data in ADAPA via web services using SQL Server Integration Services (SSIS)

To accomplish this, the CDO comes equipped with executive-level authority over data. And when it comes to data, “the buck stops” with the CDO, meaning the chief data officer is accountable to the board of directors, the executive management team, and other stakeholders.

With the advent of an increasing variety of data sources – data from mobile devices, web session logs, sensors, structured data, unstructured data, clickstream, etc. – the CDO’s position is gaining increased importance. The CDO sets the direction of the data management office (DMO), a new office designed to serve as the central unit for any issues related to data. The CDO also selects, manages and trains individuals in their new roles as data scientists.

While the Capgemini article lists 18 drivers that have led to the adoption of the CDO, I have boiled the author’s main points down to three:

  1. Data Stewardship – The CDO should be the person anointed by executive management to be the chief data owner, strategist and the C-level data champion.
  2. Data Aggregation – The CDO should lead policies to bring together data silos from distributed systems across the organization. The CDO should be responsible for building bridges between business units, creating an enterprise focus for the data. Data aggregation leads to budget consolidations since individual business units will have to coordinate data efforts though the DMO, eliminating both the duplication of efforts and data disparity.
  3. Data Communication –The CDO should ensure that business units across the organization communicate effectively by eliminating data semantic disparity. The CDO will maintain standard business terms so that when one unit is referencing a data term it has the same meaning to all units of the organization. For example, when finance talks to products about profits the two departments are talking about the same data attributes. To accomplish this the DMO, led by the CDO, will be responsible for identifying critical enterprise data elements including taxonomies, glossaries, business dictionaries, metadata management, and information rationalization. The CDO is also the designated champion from senior management to educate and guide the company in putting strategic data plans into operation.

Data is a strategic asset that needs to be managed and promoted on the executive level. Management of data includes data governance, data policy development, management of the DMO and all things related to the timeliness and quality of data. The CDO is increasingly becoming the C-level executive charged with ensuring that the organization’s data is available and in good shape – helping the organization realize the true value in its data.

Next steps:

  • Subscribe to our blog to stay up to date on the latest insights and trends in big data, data analytics and data management.
  • See how Spotfire version 4.5 can empower your CDO to discover actionable insights hidden in big data and unstructured information in our on-demand webcast, “What’s New with Spotfire 4.5.”

Dennis Earl Hardy
Spotfire Blogging Team

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Stellar Repair for MS SQL Review: Can It Repair SQL Databases? -- AI-generated illustration
Stellar Repair for MS SQL Review: Can It Repair SQL Databases?
Exclusive Software SQL
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations -- AI-generated illustration
How Search Engine Indexing Lags Behind Large-Scale Website Domain Migrations
News
How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Warren Buffett, the Human Big Data Engine

5 Min Read
Database Research Pioneer Michael Stonebraker
Culture/Leadership

Database Research Pioneer Michael Stonebraker

0 Min Read
For E.piphany (Infor), It’s Back to the Future
AnalyticsCRMMarketing

For E.piphany (Infor), It’s Back to the Future

8 Min Read
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence

Key Strategies to Develop AI Software Cost-Effectively

10 Min Read

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

How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
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?