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Automating Data Quality Checks with Dagster and Great Expectations

Analytics Vidhya

Introduction Ensuring data quality is paramount for businesses relying on data-driven decision-making. As data volumes grow and sources diversify, manual quality checks become increasingly impractical and error-prone.

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Read White Paper: Data Quality The DataOps Way

DataKitchen

Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward.

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Data Quality Power Moves: Scorecards & Data Checks for Organizational Impact

DataKitchen

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC).

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What is Data Quality in Machine Learning?

Analytics Vidhya

However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

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What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.

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Data Observability and Data Quality Testing Certification Series

DataKitchen

Data Observability and Data Quality Testing Certification Series We are excited to invite you to a free four-part webinar series that will elevate your understanding and skills in Data Observation and Data Quality Testing. Slides and recordings will be provided.

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DataKitchen’s Data Quality TestGen found 18 potential data quality issues in a few minutes (including install time)!

DataKitchen

DataKitchen’s Data Quality TestGen found 18 potential data quality issues in a few minutes (including install time) on data.boston.gov building permit data! Imagine a free tool that you can point at any dataset and find actionable data quality issues immediately! first appeared on DataKitchen.

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How to Overcome the Pain Points of Your CRM

Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

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How to Overcome the Pain Points of Your CRM

Combatting low adoption rates and data quality. Leveraging leading industry research from industry analysts, this eBook explores how your sales team can gain back valuable time with the following: Conquering the most difficult pain points in your CRM. Leading integrations that fit directly into your CRM and workflow.

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

Those implementing a B2B sales and marketing intelligence solution reported that they have realized 35% more leads in their pipeline and 45% higher-quality leads leading to higher revenue and growth. B2B organizations struggle with bad data. More organizations are investing in B2B sales and marketing intelligence solutions.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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A Guide to Better Data Quality

Without high-quality data that we can rely on, we cannot trust our data or launch powerful projects like personalization. In this white paper by Snowplow, you'll learn how to identify data quality problems and discover techniques for capturing complete, accurate data.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. Download this eBook and gain an understanding of the impact of data management on your company’s ROI.

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The Alation State of Data Culture Report - Q1 2021

This report explores AI obstacles, like inherent bias and data quality issues, and posits solutions by building a data culture. Companies are expected to spend nearly $23 billion annually on AI by 2024. What could go wrong?

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Supply Chain Planning Maturity – How Do You Compare to Peers?

Time allocated to data collection: Data quality is a considerable pain point. How much time do teams spend on data vs. creative decision-making and discussion? The use of scenario analyses: How widespread is the use of scenarios prior to and during planning meetings?