Precisely

FEBRUARY 20, 2025

Thats where data integration comes in. Data integration breaks down data silos by giving users self-service access to enterprise data, which ensures your AI initiatives are fueled by complete, relevant, and timely information. Assessing potential challenges , like resource constraints or existing data silos.

Data Silos 69

Data Silos AI AI Data Quality 69

Precisely

JUNE 26, 2023

Business needs and challenges 77% of respondents say data-driven decision-making is the top goal of their data programs – and they’re also looking to accelerate those processes. Those who have already made progress toward that end have used advanced analytics tools that work outside of their application-based data silos.

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

IBM Journey to AI blog

JANUARY 5, 2023

Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable. Perform data profiling (the process of examining, analyzing and creating summaries of datasets).

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

Pickl AI

JULY 24, 2024

Key Components of Data Quality Assessment Ensuring data quality is a critical step in building robust and reliable Machine Learning models. It involves a comprehensive evaluation of data to identify potential issues and take corrective actions.

Data Quality 52

Data Quality Machine Learning Machine Learning Clean Data 52

Alation

JULY 6, 2021

Deeper knowledge of how data is used powers deeper understanding of the data itself. Siloed Data. Silos exist in every enterprise, and they never fail to cause data governance challenges. Silos arise for a range of reasons. Why Do Data Silos Happen? The fast pace of data collection.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

phData

SEPTEMBER 1, 2023

See how phData created a solution for ingesting and interpreting HL7 data 4. Data Quality Inaccurate data can have negative impacts on patient interactions or loss of productivity for the business. Sigma and Snowflake offer data profiling to identify inconsistencies, errors, and duplicates.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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