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
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Enterprise Data Management – Not Just for Finance
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Enterprise Data Management – Not Just for Finance
Data WarehousingDecision Management

Enterprise Data Management – Not Just for Finance

RickSherman
RickSherman
3 Min Read
SHARE

Dataoverload_binderstack When we discuss Enterprise Data Management (EDM) we’re almost always talking about how it applies to finance.

Dataoverload_binderstack When we discuss Enterprise Data Management (EDM) we’re almost always talking about how it applies to finance. It’s no wonder. Finance is where EDM has made the biggest inroads and the biggest impact so far. With governmental regulations such as Sarbanes-Oxley and intense pressure from stakeholders, such as investors, the CFO has to seriously look at effectively managing data. EDM has enabled organizations large and small to give up their data shadow system habit and get on the “single version of the truth” bandwagon.

A long-term benefit for companies implementing EDM would be the establishment of an end-to-end data integration framework as a shared service model.  Developed once, and reused throughout your enterprise to satisfy the data needs of business units around the globe, this data-integration service transforms cost fundamentals for IT investments, as well as accelerates deployment once in place. It becomes the data-integration “plug and play” that enables business people to tap into their data when needed.

Implementing EDM enables data availability and delivery across organizations. Using it as a data backbone, business users can tap into the data regardless of the BI or analytical tools they use. This is especially important to enterprises that use many BI tools and that have realized that having the right data at the right time is far more important that what BI tool they use. In addition, this framework also can meet the on-demand data that many enterprises need in today’s business environment.

More Read

How to Accelerate Insight
Data versus Expertise Dilemma
Predictive Analytics Spotlight from IBM
Supply Chain Business Intelligence Is More Than Just Technology
PAW: New Challenges for Developing Predictive Analytics Solutions

But there are many opportunities for EDM to help an enterprise beyond finance. The finance function may be the groundbreaker, but other business groups are hot on its heels.

  • For instance, EDM can enable Marketing and Sales at a bank to focus on a customer’s lifetime value by examining customer banking, credit, mortgage and other account information and then enabling opportunities to up-sell and cross-sell services to customers with the most potential.
  • EDM can facilitate the flow of accurate customer feedback and product reliability data that can be used in product development. A medical equipment company might feed clinical data results to R&D to accelerate time-to-market. 
  • Managing supply chains and partner relationships for a manufacturing firm requires the granular details of inventory by product, time, vendor – slicing and dicing data, thanks to EDM. 
  • Would it be nice if, every month, when the staff creates “budget versus actuals” and “sales to forecast” reports, all the raw data was in place for assessments and analysis? EDM can help here, too.

Where else has your organization used enterprise data management or where do you plan to use it?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic
Ai agents
AI Agent Trends Shaping Data-Driven Businesses
Artificial Intelligence Exclusive Infographic
Why Businesses Are Using Data to Rethink Office Operations
Why Businesses Are Using Data to Rethink Office Operations
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Business Intelligence – The Power of Human Emotion

6 Min Read

Overcoming Data Management Challenges in Online Channel

3 Min Read

TDWI Vendor Panel on the Future of BI – part One

3 Min Read

Safeguarding Patient Data in EHRs

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 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.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?