E-Guide Pitfalls and Problems to Avoid with Data Integration
sponsored by Talend

When it comes to business intelligence (BI) processes, data integration is a critical component. Software has evolved significantly from the days when it primarily consisted of extract, transform and load (ETL) tools.

The technologies available now can automate the process of integrating data from source systems in real time. But data management analysts warn that there are many misconceptions that could be holding back the successful use of data integration tools.

Furthermore, analysts caution there are many data errors and other missteps that can waylay your BI data integration strategy, which include:

  • Bad timing- data needs to be loaded into a data warehouse in time to be used for the planned BI purposes
  • Overlooking the importance of good data- you must correct and clean bad data before integration
  • And more!

Read on to avoid these common missteps and make sure you’re leveraging data integration tools to their fullest potential.

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