
Nvizion Solutions works with world's leading brands. Here are some of our clients.

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At Nvizion Solutions, our consultants benchmark your organization against four maturity stage and define the next steps to move forward with confidence
Basic product data management, often manual and inconsistent.
Adoption of PIM tools with improved workflows and initial governance models.
Established data governance, automated workflows, and consistent product information across channels
Fully optimized, data-driven product information management delivering competitive advantage
Minimize duplication, manual fixes, and delays.
Deliver consistent and reliable product information across all digital and offline channels.
Streamline workflows and reduce resource drain from poor data quality
Build a flexible PIM framework that grows with your business needs
Launch products faster with accurate, enriched product data.
We transform the way people interact with your brand. Learn how we implemented a more modern and globally inclusive omnichannel shopping experience for the world class companies.
Looking for resources, tools, tips and industry news? Stay ahead of the curve with quick access to thought leadership and expert insights on digital transformation.

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.

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).
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Merging master lists together can be very difficult since the same customer may have different names, customer numbers, addresses and phone numbers in different databases. So to resolve this we must create a Common Master Data List.
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Merging master lists together can be very difficult since the same customer may have different names, customer numbers, addresses and phone numbers in different databases. So to resolve this we must create a Common Master Data List.
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Merging master lists together can be very difficult since the same customer may have different names, customer numbers, addresses and phone numbers in different databases. So to resolve this we must create a Common Master Data List.