CDI represents a consolidated view of customer data. Aside from MDM, which looks at the whole organization, data integration generally focuses on specific initiatives, and is the type of software used to perform data transfers, consolidations, etc. Thus, when an organization is looking to implement a CDI initiative, its focus should involve identifying the data integration vendors that specialize in CRM or that focus specifically on validating and consolidating customer data.
Data integration is defined as the act of bringing together or moving data from one or multiple locations to a centralized or replicated data store. The development of a data warehouse and the consolidation of information across the organization is an example of how data integration is applied in organizations. Sub-sets of data from disparate locations within the organization are loaded into the centralized structure of a data warehouse or dedicated database. This centralized structure creates a specified view of data to measure an organization's performance, to generate reports, to provide analytics, and so forth.
Not all data integration is equal when it comes to CDI. Different forms of data integration are used within different industries and for diverse initiatives. For example, when implementing a business intelligence (BI) solution, data mapping, data cleansing, and hourly data loads are likely the most important factors to consider. Also, different vendors within the data integration space may specialize in sub-categories such as data quality, and may partner with larger industry- or solution-specific vendors to have their solutions embedded within larger software packages. This gives organizations the ability to mix and match solutions based on their needs.
Data integration is defined as the act of bringing together or moving data from one or multiple locations to a centralized or replicated data store. The development of a data warehouse and the consolidation of information across the organization is an example of how data integration is applied in organizations. Sub-sets of data from disparate locations within the organization are loaded into the centralized structure of a data warehouse or dedicated database. This centralized structure creates a specified view of data to measure an organization's performance, to generate reports, to provide analytics, and so forth.
Not all data integration is equal when it comes to CDI. Different forms of data integration are used within different industries and for diverse initiatives. For example, when implementing a business intelligence (BI) solution, data mapping, data cleansing, and hourly data loads are likely the most important factors to consider. Also, different vendors within the data integration space may specialize in sub-categories such as data quality, and may partner with larger industry- or solution-specific vendors to have their solutions embedded within larger software packages. This gives organizations the ability to mix and match solutions based on their needs.
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