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September 3, 2009

Challenges of Data Synchronization

Filed under: Data Integration, Data Migration, Data Quality — Tags: — Olga Belokurskaya @ 8:20 am

These days, the quantity of data we use grows in an explosive manner. We are surrounded by information, we produce it, and we use it. Every day amounts of data run across organizations and enterprises.  So, an organization needs to control and maintain their data enterprise-wide. Surely, they want their data to be consistent, clean, complete, and synchronized across multiple systems and applications.

Data synchronization has become an important part of organizations’ information systems. However, the complexity of the process is very often underestimated, while it may be quite risky due to the factors among which are:

  • Different data formats due to variety of applications, tools, and databases an organization may use.
  • The quality of data synchronized. There is a risk to distribute inconsistent or out-of-date data enterprise-wide, which may result in additional (and quite palpable) data cleansing expenses.
  • Not to forget constant maintenance, meaning that as soon as new data enters an application, the next step is to synchronize it between the other organizations’ applications and systems.

Keeping the data right, companies may reduce rework from failed transactions, customer service issues, and wasted time and materials in manufacturing and logistics. As organizations keep using detached applications and working with big amounts of data, databases synchronization and setting up synchronization systems that work without failure remain the most often challenges companies face starting data synchronization initiatives.

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