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The Future of AI: High Quality, Human Powered Data

Smart Data Collective

How Artificial Intelligence is Impacting Data Quality. Artificial intelligence has the potential to combat human error by taking up the tasking responsibilities associated with the analysis, drilling, and dissection of large volumes of data. Data quality is crucial in the age of artificial intelligence. Conclusion.

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Document Data Extraction 101: Understanding the Basics

Astera

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

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EDI Mapping and Translation: Key to Seamless Integration

Astera

By aligning data elements and formats, EDI mapping brings clarity, efficiency, and simplicity to business networks, streamlining operations and fostering seamless communication. Understanding EDI Mapping EDI mapping refers to the process of matching the data structure and format of two systems that are exchanging EDI documents.

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Top 8 Data Wrangling Tools for 2023

Astera

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

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AI and Data Management: How Intelligent Systems are Changing the Game

Astera

The sheer volume of data makes extracting insights and identifying trends difficult, resulting in missed opportunities and lost revenue. Additionally, traditional data management systems are not equipped to handle the complexity of modern data sources, such as social media, mobile devices, and digitized documents.

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DNV Illuminates the Utilities Industry with Insights and Data

Sisense

This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture? However, defining the data requirements was important for understanding what data you need to measure to provide analytical insights.

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What Is Data Governance and Why It Matters?

Astera

It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. At its core, data governance aims to answer questions such as: Who owns the data? What data is being collected and stored?