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Rosetta Stone

Data that works well with others, automatically

Rosetta Stone standardizes data from different sources into a universal format, so you can combine data from disparate datasets in real time.

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Eliminate data incompatibility

Every company stores and communicates data differently, making it difficult and time-consuming to decipher and translate data from different sources.

Rosetta Stone standardizes and normalizes data into a universal format so you can query, blend, and use data from different sources effortlessly.

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Understand and use data from anywhere

Rosetta Stone allows you to access and combine data from a wider range of sources. This gives you greater flexibility and access to a broader range of data, allowing you to make more informed decisions and stay ahead of the competition.

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Save time and resources

Normalizing and cleansing data from multiple sources can be a tedious and time-consuming task. With Rosetta Stone, this process is automated, allowing you to focus on more important tasks and projects.

Plus, Rosetta Stone can shave hours off of data ingestion times, giving you and your team more time to work on value-generating tasks.

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Scale your data acquisition

Acquire data from multiple suppliers at once to easily expand your data collection and unlock new opportunities for growth and success.

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Why data standardization matters

Whether you’re buying, selling or sharing data, standardized data makes all the difference

Quality

Standardized data is of higher quality, as it is organized and formatted in a consistent manner, making it easier to use and analyze.

Scale

Consistent data formats allow infinite ways for slicing and combining, instantly expanding your scope of data sources.

Efficiency

Eliminate the need for data cleaning and multiple transactions and gain back valuable hours for other priorities.

Flexibility

You're no longer locked in to one supplier or schema. Use the data that fits your needs, not your system's requirements.

Credibility

Standardized data increases the credibility of the data being sold, as it is well-organized, consistent, and reliable.

Usability

Standardized data is easier to use and analyze, as it is in a uniform format and follows established conventions.

Compatibility

Standardized data is more compatible with other data sources, reducing the need for time-consuming and error-prone data conversion processes.

Marketability

Standardized data is more attractive to potential buyers, as it saves them time on cleaning and reformatting.

Accessible

Standardized data is easier to access and understand, as it is organized and formatted in a consistent manner.

Interoperable

Standardized data can be shared and used more easily with other data sources and systems, as it follows established standards and conventions.

Fast

Standardized data enables more efficient and effective collaboration, as it can be shared and used in a consistent manner.

Valuable

Standardized data supports better decision-making, as it allows for accurate and reliable comparison and analysis of data from different sources.

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BLOG POST

Seamlessly acquire data from numerous sources with Rosetta Stone

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Blog Post

How to save time and get clean data automatically: Streamline data wrangling

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Streamline your data collaboration

Discover the simplicity and efficiency of standardized data.

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