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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Ten Data Integration Trends for 2010
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Ten Data Integration Trends for 2010
Uncategorized

Ten Data Integration Trends for 2010

RickSherman
RickSherman
4 Min Read
SHARE

Crystallball_10_for_10 As we begin both a New Year and new decade in 2010 it is a great time to discuss the significant trends impacting the data integration marketplace.

In a break from many trend lists, I am listing both positive and negative trends. It is important to look at the glass being half full and half empty to have a realistic assessment of where we are going. I certainly don’t want these negative trends to happen; maybe by discussing them we can help prevent them.

The global recession had a significant impact on IT projects throughout 2009. Despite these economic headwinds data integration spending still grew last year, illustrating its business value to many companies.

Data integration is not just a “nice to have” but a “must have”…

More Read

‘SOA’ dead as of January 1st, analyst says
Social Networking Guidelines
Predictive Analytics: Investing and Selecting Software Properly
Using Business Rules to Make Processes Smarter, Simpler and More Agile
Ask Them (Part II)


Crystallball_10_for_10 As we begin both a New Year and new decade in 2010 it is a great time to discuss the significant trends impacting the data integration marketplace.

In a break from many trend lists, I am listing both positive and negative trends. It is important to look at the glass being half full and half empty to have a realistic assessment of where we are going. I certainly don’t want these negative trends to happen; maybe by discussing them we can help prevent them.

The global recession had a significant impact on IT projects throughout 2009. Despite these economic headwinds data integration spending still grew last year, illustrating its business value to many companies.


Data integration is not just a “nice to have” but a “must have” to enable companies to examine and hopefully improve the top line (revenue) and bottom line (profit). Even though some have declared the recession over, business and consumer caution will restrain IT spending no matter how valuable it is.

Look for growth in data integration, but the economy and sentiment will have to rebound more significantly to get back to pre-recession double digit gains in data integration spending.

(Just so you know, Athena IT Solutions doesn’t sell (or resell) hardware or software, so these trends are not a disguised pitch for some product.)

The important trends in data integration this year:

  1. The demand for data integration continues to exceed our ability to supply it
  2. Data integration continues to splinter into two partisan groups
  3. Enterprise-class data integration continues to expand beyond ETL and DW roots
  4. MDM and CDI increasingly depend on enterprise-class DI expertise
  5. ETL expands into SMB market
  6. Data integration breaks out from the “Magic Quadrant”  (repeat)
  7. ETL abuse and disillusionment is rampant with new adopters
  8. Operational BI adopted because data integration is too tough
  9. Battle for market share in SMBs and departmental ETL in large enterprises is between hand-coding and ETL tools
  10. 1990s Redux, i.e. data silos proliferate… again

I’ll blog about all of these trends during the next few weeks.

Link to original post

TAGGED:data integrationit
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive
mobile device farm
How Mobile Device Farms Strengthen Big Data Workflows
Big Data Exclusive
composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

“Involving users in business intelligence strategy key for success” – Christina Torode on SearchCio-Midmarket.com

7 Min Read

Why is IT Planning Stupid to Do?

3 Min Read
Big Data Investment
AnalyticsBig DataExclusive

5 Ways to Make Big Data Investment Work For Your Organization

7 Min Read

Analytics: Not About Saving Time

7 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?