Data Strategy category

DataOps Tools: Key Capabilities & 5 Tools You Must Know About

4 min read - What are DataOps tools? DataOps, short for data operations, is an emerging discipline that focuses on improving the collaboration, integration and automation of data processes across an organization. DataOps tools are software solutions designed to simplify and streamline the various aspects of data management and analytics, such as data ingestion, data transformation, data quality management, data cataloging and data orchestration. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share and manage…

7 Data Testing Methods, Why You Need Them & When to Use Them

5 min read - What is data testing? Data testing involves the verification and validation of datasets to confirm they adhere to specific requirements. The objective is to avoid any negative consequences on business operations or decisions arising from errors, inconsistencies, or inaccuracies. In a world where organizations rely heavily on data observability for informed decision-making, effective data testing methods are crucial to ensure high-quality standards across all stages of the data lifecycle—from data collection and storage to processing and analysis.This is part of…

8 Data Quality Monitoring Techniques & Metrics to Watch

6 min read - What is data quality monitoring? Data quality monitoring refers to the assessment, measurement and management of an organization’s data in terms of accuracy, consistency and reliability. It utilizes various techniques to identify and resolve data quality issues, ensuring that high-quality data is used for business processes and decision-making.  The importance of data quality cannot be overstated, as poor-quality data can result in incorrect conclusions, inefficient operations and a lack of trust in the information provided by a company’s systems. Monitoring…

Building a Winning Data Quality Strategy: Step by Step

5 min read - What Is a Data quality strategy? A data quality strategy details the processes, tools, and techniques employed to ensure your company’s data is accurate, consistent, complete, and up-to-date. A well-defined data quality strategy enables better decision-making based on reliable information and reduces risks associated with poor-quality data. In order to develop a successful data quality strategy, you will need to understand how high-quality information supports decision-making processes and drives growth across your organization, and what factors can impact or reduce…

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