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Data mapping and transformation are critical components of any Product Information Management (PIM) implementation. In this blog post, we will discuss best practices for data mapping and transformation in the new multi-tenant SaaS Informatica PIM.
In conclusion, data mapping and transformation are critical components of any PIM implementation. By understanding your data, defining a data mapping strategy, leveraging data mapping tools, establishing a data transformation process, monitoring, and validating your data, and establishing data governance policies, you can ensure that your product data is accurate, complete, and consistent, and that your PIM system is a success.
In this blog, we will discuss about the classification of data and describe the various categories of data (reporting, transactional, master, golden, reference, metadata, unstructured and big data).
In this blog, we will discuss about the classification of data and describe the various categories of data (reporting, transactional, master, golden, reference, metadata, unstructured and big data).
In this blog, we will discuss about the classification of data and describe the various categories of data (reporting, transactional, master, golden, reference, metadata, unstructured and big data).
The need to integrate data management services and take decisive decisions to run businesses is increasing day by day. Now is the time for your organization to understand the true value of master data management and implementation. But before that, it’s more important to avoid these 5 common mistakes while managing a 360 view of business data.
The need to integrate data management services and take decisive decisions to run businesses is increasing day by day. Now is the time for your organization to understand the true value of master data management and implementation. But before that, it’s more important to avoid these 5 common mistakes while managing a 360 view of business data.
The need to integrate data management services and take decisive decisions to run businesses is increasing day by day. Now is the time for your organization to understand the true value of master data management and implementation. But before that, it’s more important to avoid these 5 common mistakes while managing a 360 view of business data.
In this blog, we will discuss about major misconception we build while dealing with data and the confusion we usually build between Master Data and Reference Data. Most will tell you that reference data is a subset of master data, and it is, sort of. But...
In this blog, we will discuss about major misconception we build while dealing with data and the confusion we usually build between Master Data and Reference Data. Most will tell you that reference data is a subset of master data, and it is, sort of. But...
In this blog, we will discuss about major misconception we build while dealing with data and the confusion we usually build between Master Data and Reference Data. Most will tell you that reference data is a subset of master data, and it is, sort of. But...
When companies are running an omnichannel business, they need to create a cohesive business that combines offline and online channels into a unified brand identity. And to manage the data, responsibilities, and multiple channels, you need a PIM strategy.
When companies are running an omnichannel business, they need to create a cohesive business that combines offline and online channels into a unified brand identity. And to manage the data, responsibilities, and multiple channels, you need a PIM strategy.
When companies are running an omnichannel business, they need to create a cohesive business that combines offline and online channels into a unified brand identity. And to manage the data, responsibilities, and multiple channels, you need a PIM strategy.
