{"id":2681,"date":"2018-09-11T07:20:24","date_gmt":"2018-09-11T07:20:24","guid":{"rendered":"https:\/\/www.kovair.com\/blog\/?p=2681"},"modified":"2025-09-03T11:06:07","modified_gmt":"2025-09-03T11:06:07","slug":"data-integration-challenges-for-organizations","status":"publish","type":"post","link":"https:\/\/www.kovair.com\/blogs\/data-integration-challenges-for-organizations\/","title":{"rendered":"Data Integration Challenges that Organizations Must Know"},"content":{"rendered":"

\"Data
\nIn today\u2019s world of technology and smart business decisions, data integration plays a significant role.<\/p>\n

Integrating data generated from multiple applications and working on it has become the flagship of some of the IT projects run by various organizations around the world. Not only that \u2014 the need for improving data accessibility, enhancing teamwork and collaboration,\u00a0as well as need for reports and dashboards have given rise to the idea of Data integration.<\/p>\n

What is Data Integration?<\/h2>\n

Data integration\u00a0is the amalgamation of a systematic series of operations used to combine\u00a0data\u00a0from disparate applications into valuable information. However, has it ever occurred to you what would be the consequences in case if a data integration set up suddenly goes wrong? How would it affect the organization as well as the Data integrity?<\/p>\n

With technological advancements, responsibilities do come hand-in-hand. We need to integrate data and turn data into real actions to increase its utility. Simultaneously, we need to have a keen eye on the security and integrity of the same. To do that, it is important that you understand the common problems and its consequences that users often encounter during integration.<\/p>\n

8 Most Important Challenges of Data Integration<\/h2>\n

There are several challenges that a user faces during data integration process<\/a>. These challenges obstruct the path preventing the user to have a perfect integration. \u00a0Some of the common problems faced are the following:<\/p>\n

    \n
  1. Understanding the behavior of source and target systems.<\/li>\n
  2. Logically mapping heterogeneous data structure between source and target systems.<\/li>\n
  3. Processing the source data to fit into the target system based on business needs or rulles.<\/li>\n
  4. Integrating disparate tools from different domains to bring in collaboration among different team members.<\/li>\n
  5. Large volume of associated data.<\/li>\n
  6. Performance of the solution.<\/li>\n
  7. Unforeseen cost involved in changes after integration.<\/li>\n
  8. Infrastructure problems.<\/li>\n<\/ol>\n
    \r\n

    Enterprise Tools Integration and Data Synchronization<\/h2>\r\n
    Live Product Demo by our Experts<\/div>\r\n
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    Consequences Faced Because of Wrong Data Integration<\/h2>\n

    Some of the consequences that follow because of wrong data integration are as follows:<\/p>\n

    A. Problem with Data Integrity<\/h3>\n

    Data is structured differently in various systems – such as CRMs, ERP, DBs etc. Data integration involves synchronizing huge quantities of heterogeneous data generated from different sources.<\/p>\n

    The basic parameters that are involved in Data Integrity are: \u2014<\/p>\n