Posts Tagged ‘Data Quality’
What Is Plaguing IoT Data? (+ Tips to Get Accurate IoT Analytics)
Around the globe, the number of connected devices forming the Internet of Things (IoT) is growing rapidly, with current projections predicting the total fleet of IoT devices will double — from 15.1 billion in 2023 to 29 billion — before the end of the decade. As devices proliferate, organizations increasingly rely on IoT analytics to…
Read MoreBenefits of Complementing Informatica with a Data Quality Add-On
How important is data quality to your organization? Accurate, reliable data is imperative for smooth operations and informed business decisions. If your business uses Informatica for data integration, you may find its built-in data quality management tools lacking in both effectiveness and ease of use. To obtain more accurate data with less technical effort, consider…
Read More5 Downsides of Informatica Data Quality and How DataBuck Eliminates Them
Do you know the major downsides of Informatica Data Quality—and how to work around them? Often known as Informatica DQ, this tool is part of the larger Informatica data integration platform. Numerous enterprises rely on it to optimize data quality across both on-premises and cloud systems. However, Informatica DQ is not perfect. Users have reported…
Read MoreDeploy Data Quality tools/Data Trust Monitors Across Pipelines to Reduce Dark Data
Seth Rao, CEO of FirstEigen, speaks about building a data trustability platform, ensuring data trustworthiness, the importance of a data trust score, how everyone in a business is a stakeholder, the need for accountability, and a glimpse of change. There is growing importance of data trustability as the volume of data being collected increases, which…
Read MoreData Integration: Challenges, Best Practices, and Tools
How well does your organization integrate data from multiple sources? Effective data integration is critical to turning raw data into actionable insights. You need a data integration solution that takes data disparate, often incompatible sources, monitors its data quality, and stores that data in an easily accessible format that everyone in your organization can use.…
Read MoreThe Quick and Easy Guide to Data Preparation
Do you know why data preparation is important to your organization? Poor-quality or “dirty” data can result in unreliable analysis and ill-informed decision-making. This problem worsens when data flows into your system from multiple, unstandardized sources. The only way to ensure accurate data analysis is to prepare all ingested data to meet specified data quality…
Read MoreHow to Create a Data-Driven Culture in Your Organization
Quality data enables businesses to make informed decisions, maximize profits, and implement data-driven technologies. The catch? Obtaining the data can be difficult, and monitoring it for quality without the right tools can be inefficient or even ineffective. To maximize your data, you need a data-driven culture built on the right data quality tools. In this…
Read MoreThe Definitive Guide to Data Management in the Enterprise
What is enterprise data management—and how does data management impact your organization? Data management is essential to any enterprise, ensuring that all the organization’s data is reliable, accessible, and secure. Proper data management helps enterprises make more informed decisions and better control their daily operations. It’s how successful companies turn raw data into useful analysis. …
Read MoreQuality, Validation, and Observability with Snowflake
Do you know how to get optimal use from Snowflake? Snowflake is a data ingestion and warehousing solution used by more than 7,000 companies worldwide. It makes it easy to ingest, retrieve, and analyze data from multiple sources, but it doesn’t guarantee data quality. To optimize results from Snowflake, you need to employ a third-party…
Read MoreAzure Data Factory and Synapse: Ensuring Data Quality and Validation
Any enterprise that relies on raw data from multiple sources can benefit from the data ingestion features of Microsoft’s Azure Data Factory. Coupled with Azure Synapse Analytics, users can extract detailed analysis and insights from that data. Azure Data Factory and Synapse both require clean, high-quality data, which isn’t always available when ingesting data from…
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