![]() Data mapping provides visibility into end-to-end data lineage. Given today’s changing privacy regulations, automated, reliable data mapping helps you address crucial data access and compliance requirements. It is a critical element of any data privacy framework. Data mapping enables the smooth flow of data through different systems, applications and services. This helps you establish a single source of truth. Understanding data at such a granular level enables you to achieve deeper insights that can enhance your organization’s decision-making capabilities, giving you a competitive edge.ĭata mapping provides the ability to link all data about an individual’s attributes. Then, it matches and links records across sources and systems to create a 360-degree view of each individual data subject. Data mapping can identify subject records across all your data sources. Combining data sets from different sources gives you a holistic view and context for your data. Data mapping bridges the gap by synching data from one format to another.īusiness analytics benefit from data mapping. To automate business processes, you need to integrate data from one application to another. Data mapping helps ensure that complex data management processes - like data migration, data integration and master data management - yield quality data insights. To analyze and understand your data, use data mapping to standardize data across your enterprise. ![]() The data visualization process integrates multiple data sources into data models so you can simplify and combine dispersed data sources.ĭata systems each store data in their own way. With a backdrop of exploding data volume and variety in the modern enterprise, it’s important to decrease the potential for data errors while increasing the ability to deliver actionable data insights. Given the complexity and volume of data in today’s enterprise, data mapping has become more critical than ever, and it requires intelligent, automated solutions for success. ![]() You need data mapping to understand your data integration path and process. Data integration brings together data from one or more sources into a single destination in real time. ![]() It is often the first step in the process of executing end-to-end data integration. Data mapping provides a visual representation of data movement and transformation. ![]()
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