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
    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
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 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
SHARE

Snowmass_look_leap The initial phase of a project should be an assessment. A classic systems integrators’ project methodology will include this phase and

Snowmass_look_leap 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:

More Read

Unlocking the Potential of ‘Big Data’ in the Market Research industry
Top BI Dashboard Design and Delivery Worst Practices
Clinical Trails Optimization – Business Analytics to the rescue
Try These Tips On How To Protect Your Data From Your ISP
Business Intelligence: Intuitive vs Cool Data Visualization and Infographics
  • 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.

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

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The Top 3.77 Annoying Things About Top Lists

0 Min Read

Business, Analytics and Technical User Roles When Automating Decisions

15 Min Read
office 365 data protection
Risk Management

Tips to Protect Office 365 Systems from Data Breaches

9 Min Read

Book Review – BRFplus Business Rule Management for ABAP Applications

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.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?