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
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 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

Here Comes Web 3.0: Wolfram|Alpha Launches Today
Essential Reading for Those Considering Self-Publishing
What Data Will Your Customers Share for Better Service?
Creating The Uber Social Network
A 5-Step Approach to Managing Your Manufacturing Marketing Data


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

macro intelligence and ai
How Permutable AI is Advancing Macro Intelligence for Complex Global Markets
Artificial Intelligence Exclusive
warehouse accidents
Data Analytics and the Future of Warehouse Safety
Analytics Commentary Exclusive
stock investing and data analytics
How Data Analytics Supports Smarter Stock Trading Strategies
Analytics Exclusive
qr codes for data-driven marketing
Role of QR Codes in Data-Driven Marketing
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

From BI to Process Integration

5 Min Read

Why IT Doesn’t “Get” Analytics (and Why the Time is Right for Change)

8 Min Read
technical support in the age of big data
Big Data

5 Reasons Technical Support is Essential in the Big Data Age

8 Min Read

Data Integration Processes: It’s Not the Tool, It’s How You Use It

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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?