The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

Data Governance 69

Data Governance High Quality Data Government Data 69

The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

Data Governance 52

Data Governance High Quality Data Government Data 52

The Modern Data Company

JULY 18, 2023

High-quality data, free from errors, inconsistencies, or biases, forms the foundation for accurate analysis and reliable insights. Data products should incorporate mechanisms for data validation, cleansing, and ongoing monitoring to maintain data integrity. Request a demo today and see it in action.

Data Governance 52

Data Governance High Quality Data Government Data 52

Databand.ai

AUGUST 30, 2023

These tools play a vital role in data preparation, which involves cleaning, transforming and enriching raw data before it can be used for analysis or machine learning models. There are several types of data testing tools. If you’re ready to take a deeper look, book a demo today.

Data Cleanse 52

Data Cleanse Data Pipeline Datasets Data Validation 52

Monte Carlo

JULY 10, 2023

Data integration challenges Merging data together from multiple sources, even within your own tech stack, can cause misaligned data mapping or incompatible structures. This can lead to data that’s incomplete in one system, even if it’s present in another.

Data Collection 40

Data Collection Data Governance Government Data 40

Monte Carlo

FEBRUARY 6, 2023

But in reality, a data warehouse migration to cloud solutions like Snowflake and Redshift requires a tremendous amount of preparation to be successful—from schema changes and data validation to a carefully executed QA process. What’s more, issues in the source data could even be amplified by a new, sophisticated system.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Precisely

MAY 3, 2023

ET for exciting keynotes, interactive panels, breakout sessions, and brand-new demos – all chock-full of valuable insights and takeaways for everyone, across industries. And, you’ll be able to see these capabilities in action with an exclusive demo. How can the power of data validation and enrichment transform your business?

Data Integration 52

Data Integration Government AWS Data Governance 52