Data Integration Remains a Major IT Headache
Study shows that data integration is still costly and requires a lot of manual coding.
For all the talk about the strategic role business intelligence software will play in the enterprise, you can't help but sympathize with IT organizations that are more than a little jaundiced about anything that has to do with data integration. After all, as a new survey of 359 IT people conducted by beyeNetwork on behalf of Syncsort, a provider of data integration tools, shows, most IT organizations still struggle with data integration within the four walls of the enterprise, never mind anything to do with cloud computing.https://o1.qnsr.com/log/p.gif?;n=203;c=204663295;s=11915;x=7936;f=201904081034270;u=j;z=TIMESTAMP;a=20410779;e=i
This doesn't mean that BI projects are inherently doomed, but the survey does hint at how far IT organizations have to go when it comes to any kind of ability to consistently integrate data. For example, the survey finds that when any kind of new data is added into the enterprise mix, IT organizations struggle just to incorporate that information into a report. As a result, the majority says that data integration issues impede their organization's ability to achieve strategic goals, which can largely be attributed to the amount of manual coding that goes on just to create a report.
The one good thing is that with the advent of cloud computing, notes Jorge Lopez, Syncsort senior manager for data integration, more emphasis is being put on performance issues associated with data integration across the enterprise, which he says should provide the impetus that many IT organizations need to confront a vexing issue of long standing
No matter how IT organizations ultimately tackle this issue, the one thing that is certain is that tactical approaches to data integration are not going to scale in the era of the cloud. As BI applications and the cloud continue to ultimately converge, the Achilles' Heel of many an IT organization is going to turn out to be fundamental data integration issues.