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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Enterprise Data Management Fitness – Look Before You Leap
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 > Enterprise Data Management Fitness – Look Before You Leap
Best PracticesCommentaryCulture/LeadershipDecision ManagementInside CompaniesPolicy and Governance

Enterprise Data Management Fitness – Look Before You Leap

RickSherman
RickSherman
3 Min Read
Enterprise Data Management Fitness – Look Before You Leap
Photo by Christina Morillo on Pexels (https://www.pexels.com/photo/women-gathered-on-table-near-monitor-1181357/)
SHARE

The initial phase of a project should be an assessment. A classic systems integrators’ project methodology will include this phase and a sign-off on its competition before proceeding to with the rest of the project.  Why is this needed at the start of a project? Because in order to ensure project success you need to:

  1. Gather the business and technical requirements
  2. Examine what exists now
  3. Determine the gap between numbers 1 and 2
  4. Create a plan and architecture of what it will take to close that gap
  5. Assess how ready the business and IT is to design, deploy and operate these solutions

This is a pretty straightforward approach to kicking off a project.  Many IT project managers follow this approach whether they are using a systems integrator or not.   Most people understand that they need to perform all these tasks in the first phase of a project with one exception: assessing the readiness of business and IT to actually succeed!

Why is the readiness portion of the assessment so often overlooked? Because people generally assume that if a project is being funded then everyone must be ready for it. This may be an extremely costly mistake to make with Enterprise Data Management (EDM) projects. Unlike many other IT projects, EDM impacts both business and IT. EDM requires:

  • Defining business performance metrics, data quality metrics and data definitions
  • Creating the architecture to support the above
  • Establish a data governance process with ongoing cooperation between business and IT

Technology and data aren’t the only things you need to think about. You need to conduct a readiness assessment to determine what political, people and process issues need to be addressed. If you fail to determine where you are with the 3 P’s and address what is needed to get them to support and implement the solution you’ll be hard-pressed to make it successful.

More Read

Report Governance is Key to Consistent Business Information
Report Governance is Key to Consistent Business Information
Is Information Management an Evolution or a Revolution?
Talk Analytics with Executives – Revisited
Data Analysts, Data Scientists, and the Rest of Us
Forecasting Lessons from Heathrow’s Snowpocalypse

Don’t get tripped up by the P’s. Take a good, hard look at them before you leap!

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is between aggregated workplace data (occupancy, environmental, feed
How Businesses Can Use Workplace Data to Create Better Office Environments
Big Data Business Intelligence Exclusive
Flat editorial illustration: The article's core relationship is the engineering transition from an AI prototype to a production-r
From AI Prototype to Production: Observability and Scalability Requirements for Data-Heavy SaaS Applications
Artificial Intelligence Exclusive
Preparing Data Systems and Governance for a Scaling Global Gaming Brand -- AI-generated illustration
Preparing Data Systems and Governance for a Scaling Global Gaming Brand
Big Data Infographic
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns -- AI-generated illustration
How Restaurant POS and Ordering Data Reveal Generational Customer Patterns
Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The ‘Big Data’ Buzz – Revolution or Evolution?
AnalyticsBest PracticesBusiness IntelligenceCloud ComputingData MiningExclusive

The ‘Big Data’ Buzz – Revolution or Evolution?

6 Min Read
Traditional BI in Babushka Doll
Best PracticesBusiness Intelligence

Traditional BI in Babushka Doll

5 Min Read
The Big Data Scientist's Skillset
AnalyticsBest PracticesBig DataBusiness IntelligenceData ManagementJobs

The Big Data Scientist’s Skillset

7 Min Read
Big Data Ethics: Vendors Should Take A Stand
AnalyticsBest PracticesBig DataCulture/LeadershipData ManagementPolicy and GovernancePrivacyTransparency

Big Data Ethics: Vendors Should Take A Stand

4 Min Read

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

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?