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12 Best Data Mapping Tools & Solutions in 2023

Astera

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

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Data Quality Tools: Top 8 for 2023 & Beyond

Astera

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. Interactive Data Grid: The tool offers agile data correction and completion capabilities allowing you to rectify inaccurate data.

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Automated Financial Data Integration for Fraud Detection | Astera

Astera

According to a report by IBM , poor data quality costs the US economy $3.1 Improving data quality can help reduce these losses and increase productivity and innovation. Enhancing data governance and customer insights. Data quality reports : These reports illustrate the data health of a particular dataset.

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The Best Talend Alternatives & Competitors to Consider in 2024

Astera

Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Data Integration : Like other vendors, Talend offers data integration via multiple methods, including ETL , ELT , and CDC. 10—this can be fact-checked on TrustRadius.

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Understanding Data Warehousing Concepts for Business Analysts

Business Analysis Knowledge Share

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

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The Top 7 Data Aggregation Tools in 2024

Astera

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

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A Beginner’s Guide to Embedded Analytics and BI

Insight Software

better drill down, more filtering options, real-time, self-service capabilities, exporting etc.). How Embedded Analytics Boots Data-Driven Applications: The speed at which data comes into organizations is fast and furious.