Business Intelligence, Data Profiling and Data Quality

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Data Quality

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality

Data Quality Data Governance ETL Data Observability

Data Integrity for AI: What’s Old is New Again

Precisely

JANUARY 9, 2025

Each source system had their own proprietary rules and standards around data capture and maintenance, so when trying to bring different versions of similar data together such as customer, address, product, or financial data, for example there was no clear way to reconcile these discrepancies.

Data Warehouse

Data Warehouse Hadoop Data Lakes Data Governance

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How to Achieve High-Accuracy Results When Using LLMs

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Data integrity vs. data quality: Is there a difference?

IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality

Data Quality Data Profiling Data Governance Machine Learning

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How to Achieve High-Accuracy Results When Using LLMs

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Data architecture strategy for data quality

IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality

Data Quality Data Lakes Data Warehouse Big Data

Data Quality Framework: What It Is, Components, and Implementation

DagsHub

AUGUST 23, 2024

As such, the quality of their data can make or break the success of the company. This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. What is a data quality framework?

Data Quality

Data Quality Data Governance Machine Learning Machine Learning

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

APRIL 20, 2022

Data entry errors will gradually be reduced by these technologies, and operators will be able to fix the problems as soon as they become aware of them. Make Data Profiling Available. To ensure that the data in the network is accurate, data profiling is a typical procedure.

Data Profiling

Data Profiling Data Analysis Data Analysis Database

11 Open Source Data Exploration Tools You Need to Know in 2023

ODSC - Open Data Science

FEBRUARY 24, 2023

Data Quality Now that you’ve learned more about your data and cleaned it up, it’s time to ensure the quality of your data is up to par. With these data exploration tools, you can determine if your data is accurate, consistent, and reliable.

Exploratory Data Analysis

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis

Avoid These Mistakes on Your Data Warehouse and BI Projects

Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

Data Warehouse

Data Warehouse Business Intelligence Business Intelligence Analytics

Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

SEPTEMBER 7, 2021

In the next section, let’s take a deeper look into how these key attributes help data scientists and analysts make faster, more informed decisions, while supporting stewards in their quest to scale governance policies on the Data Cloud easily. Find Trusted Data. Verifying quality is time consuming.

Data Governance

Data Governance Data Scientist Data Quality Data Profiling

Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

Data Warehouse

Data Warehouse Business Intelligence Business Intelligence Data Profiling

Data Catalog First, Master Data Management Second: Here’s Why

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management. Assess Data Quality.

Data Quality

Data Quality Data Warehouse Data Profiling Data Governance

Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their user base for […].

Data Warehouse

Data Warehouse Business Intelligence Business Intelligence Data Profiling

How to Build ETL Data Pipeline in ML

The MLOps Blog

MAY 17, 2023

Here are some specific reasons why they are important: Data Integration: Organizations can integrate data from various sources using ETL pipelines. This provides data scientists with a unified view of the data and helps them decide how the model should be trained, values for hyperparameters, etc.

ETL

ETL Data Pipeline ML ML

What Is Data Intelligence?

Alation

AUGUST 26, 2021

For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. How Do Data Intelligence Tools Support Data Culture? BI and AI for Data Intelligence.

Data Governance

Data Governance ML ML Augmented Analytics

Data Science Current

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Data Integrity for AI: What’s Old is New Again

Webinars

Trending Sources

Data integrity vs. data quality: Is there a difference?

Webinars

Data architecture strategy for data quality

Data Quality Framework: What It Is, Components, and Implementation

7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

11 Open Source Data Exploration Tools You Need to Know in 2023

Avoid These Mistakes on Your Data Warehouse and BI Projects

Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 3

Data Catalog First, Master Data Management Second: Here’s Why

Avoid These Mistakes on Your Data Warehouse and BI Projects: Part 2

How to Build ETL Data Pipeline in ML

What Is Data Intelligence?

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