Business Intelligence and Data Quality

2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

Precisely

NOVEMBER 5, 2024

Key Takeaways: Data quality is the top challenge impacting data integrity – cited as such by 64% of organizations. Data trust is impacted by data quality issues, with 67% of organizations saying they don’t completely trust their data used for decision-making.

Data Quality

Data Quality Analytics Analytics Data Governance

How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

KDnuggets

JUNE 27, 2025

By Vinod Chugani on June 27, 2025 in Data Science Image by Author | ChatGPT Introduction Creating interactive web-based data dashboards in Python is easier than ever when you combine the strengths of Streamlit , Pandas , and Plotly. This tutorial demonstrates a significant shift in how data scientists can share their work.

Natural Language Processing

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Data quality

Dataconomy

MAY 27, 2025

Data quality is an essential factor in determining how effectively organizations can use their data assets. In an age where data is often touted as the new oil, the cleanliness and reliability of that data have never been more critical. What is data quality? million annually.

Data Quality

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Webinars

Airflow Best Practices for ETL/ELT Pipelines

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The Crucial Intersection of Generative AI and Data Quality: Ensuring Reliable Insights

Data Science Blog

OCTOBER 1, 2024

Just like a skyscraper’s stability depends on a solid foundation, the accuracy and reliability of your insights rely on top-notch data quality. Enter Generative AI – a game-changing technology revolutionizing data management and utilization. Businesses must ensure their data is clean, structured, and reliable.

Data Quality

Data Quality AI AI Analytics

Data catalog

Dataconomy

JUNE 11, 2025

Role of data governance Data governance is crucial for fostering an environment where data usage is responsible and compliant with regulations. Governance policies establish standards for data quality, ensuring that analytics outcomes are reliable and actionable.

Data Governance

Data Governance Business Intelligence Business Intelligence Data Quality

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. It advocates decentralizing data ownership to domain-oriented teams.

Data Science

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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 Quality Is In the Eye of the Beholder

The Data Administration Newsletter

MARCH 15, 2022

1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […]. We know the phrase, “Beauty is in the eye of the beholder.”1

Data Quality

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Data lakehouse

Dataconomy

JUNE 18, 2025

It combines the cost-effectiveness and flexibility of data lakes with the performance and reliability of data warehouses. This hybrid approach facilitates advanced analytics, machine learning, and business intelligence, streamlining data processing and insights generation.

Data Lakes

Data Lakes Data Warehouse Business Intelligence Business Intelligence

DataOps

Dataconomy

JUNE 23, 2025

DataOps is transforming the way organizations handle and utilize data in today’s fast-paced digital landscape. By integrating Agile methodologies into data practices, DataOps enhances collaboration among cross-functional teams, leading to improved data quality and speed in delivering insights.

DataOps

DataOps Data Pipeline Data Quality Data Science

How Data Accessibility Shapes Business Intelligence

Dataversity

MAY 7, 2025

Business intelligence (BI) ensures organizations and enterprises make measured decisions. However, many analytics teams in businesses struggle with slow, fragmented, or downright counterproductive BI systems. The main culprit […] The post How Data Accessibility Shapes Business Intelligence appeared first on DATAVERSITY.

Business Intelligence

Business Intelligence Business Intelligence Analytics Analytics

Data citizenship

Dataconomy

JUNE 3, 2025

Mechanisms for enforcing data access: Implementing controls and procedures that monitor access to sensitive data, ensuring compliance with governance policies. Understanding data stewardship in organizations Data stewardship is a critical element that complements governance by focusing on data quality and consistency.

Data Governance

Data Governance Business Intelligence Business Intelligence Data Quality

Data lake

Dataconomy

JULY 7, 2025

They find particular value in storing extensive datasets that traditional data warehouses may struggle to manage efficiently. Integration with business intelligence Data lakes facilitate business intelligence by allowing companies to analyze and visualize large and complex datasets.

Data Lakes

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Operational data store (ODS)

Dataconomy

JUNE 26, 2025

Support for business intelligence (BI) The data stored in the ODS is often structured for easy accessibility and reporting, making it exceptionally useful for Business Intelligence (BI) applications. Data integration issues Furthermore, ODS systems assist in troubleshooting data integration challenges.

Data Warehouse

Data Warehouse ETL Business Intelligence Business Intelligence

Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Dataversity

MARCH 3, 2021

The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. They want to improve their decision making, shifting the process to be more quantitative and less based on gut and experience.

Data Quality

Data Quality Data Governance Business Intelligence Business Intelligence

Important Features of Top Business Intelligence Tools

Dataversity

APRIL 8, 2021

Business intelligence (BI) tools transform the unprocessed data into meaningful and actionable insight. BI tools analyze the data and convert them […]. The post Important Features of Top Business Intelligence Tools appeared first on DATAVERSITY.

Business Intelligence

Business Intelligence Business Intelligence ETL Data Quality

Essential data engineering tools for 2023: Empowering for management and analysis

Data Science Dojo

JULY 6, 2023

These tools provide data engineers with the necessary capabilities to efficiently extract, transform, and load (ETL) data, build data pipelines, and prepare data for analysis and consumption by other applications. Essential data engineering tools for 2023 Top 10 data engineering tools to watch out for in 2023 1.

Data Engineering

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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

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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. A data lake!

Data Warehouse

Data Warehouse Hadoop Data Lakes Data Governance

Data engineer

Dataconomy

JUNE 12, 2025

Data validation and cleansing processes: Ensuring data quality and accuracy before it is analyzed. Design and implementation of database architectures: Setting up scalable databases that efficiently store and manage data. Data engineer vs. data scientist The primary distinction lies in their focus.

Data Engineering

Data Engineering Data Engineer Data Engineering Data Engineering

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Francois Ajenstat. Kristin Adderson. January 27, 2021 - 4:36pm. February 18, 2021.

Tableau

Tableau Business Intelligence Business Intelligence Analytics

Utilize smart technologies to make smart investments

Dataconomy

AUGUST 24, 2023

In the modern era of data-driven decision-making, business intelligence projects have become the cornerstone for organizations aiming to harness their data for strategic insights. So which business intelligence projects can you trust in your next adventure? But this diversity often leads to sound pollution.

Business Intelligence

Business Intelligence Business Intelligence Data Analysis Data Analysis

A Comprehensive Guide to Business Intelligence Analysts

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence

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From zero to BI hero: Launching your business intelligence career

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence

Business Intelligence Business Intelligence Data Analysis Data Analysis

From zero to BI hero: Launching your business intelligence career

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence

Business Intelligence Business Intelligence Data Analysis Data Analysis

Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence

Business Intelligence Business Intelligence ETL Data Lakes

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 Management’s Next Frontier is Machine Learning-Based Data Quality

The Data Administration Newsletter

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions. In a recent study, AI and machine learning were named as the top data priorities for 2021, by 61% […].

Machine Learning

Machine Learning Machine Learning Data Quality AI

Data mart

Dataconomy

MARCH 20, 2025

This process extracts data from various sources, transforms it into a desired format, and loads it into the data mart. With efficient ETL practices, organizations can maintain high data quality and relevant structures. Independent data mart In contrast, an independent data mart operates on its own.

Data Warehouse

Data Warehouse ETL Data Quality Database

Data analytics

Dataconomy

JUNE 10, 2025

Applications of data analytics Data analytics finds applications across various fields, driving innovation and efficiency. Business intelligence and reporting Through dashboards and reports, data analytics provides actionable insights into performance metrics, allowing for better decision-making.

Analytics

Analytics Analytics Big Data Analytics Big Data Analytics

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

Data integration

Dataconomy

JUNE 18, 2025

Customer data consolidation Organizations utilize integrated data to gain insights into customer behavior and enhance service quality, leading to improved customer relationships. Big data usability Integration techniques make big data more accessible and usable, providing valuable insights for various analytical scenarios.

Data Warehouse

Data Warehouse Data Silos ETL Big Data

How IBM Data Product Hub helps you unlock business intelligence potential

IBM Journey to AI blog

OCTOBER 2, 2024

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. Inconsistent data quality: The uncertainty surrounding the accuracy, consistency and reliability of data pulled from various sources can lead to risks in analysis and reporting.

Business Intelligence

Business Intelligence Business Intelligence Power BI Data Quality

Visionary Data Quality Paves the Way to Data Integrity

Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms. Cloud-native data execution is just the beginning.

Data Quality

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The Declarative Approach in a Data Playground

Dataversity

SEPTEMBER 21, 2021

In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points. The post The Declarative Approach in a Data Playground appeared first on DATAVERSITY. But […].

Data Governance

Data Governance Business Intelligence Business Intelligence Data Quality

What Is Data Quality and Why Is It Important?

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality

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Decision intelligence

Dataconomy

MARCH 28, 2025

Definition and scope Understanding decision intelligence requires recognizing its multi-faceted nature. At its core, it draws from AI and data science while connecting to broader concepts like business intelligence. Data enrichment and AI processing Enhancing data quality is crucial in this phase.

Data Science

Data Science Machine Learning Machine Learning Business Intelligence

Validation vs. Verification: What’s the Difference?

Precisely

JANUARY 15, 2024

When you delve into the intricacies of data quality, however, these two important pieces of the puzzle are distinctly different. Knowing the distinction can help you to better understand the bigger picture of data quality. What Is Data Validation? Verification may also happen at any time.

Data Quality

Data Quality Database Artificial Intelligence Artificial Intelligence

ETL pipelines

Dataconomy

MARCH 26, 2025

These stages ensure that data flows smoothly from its source to its final destination, typically a data warehouse or a business intelligence tool. By facilitating a systematic approach to data management, ETL pipelines enhance the ability of organizations to analyze and leverage their data effectively.

ETL

ETL Data Pipeline Business Intelligence Business Intelligence

Self-Service BI Is the New Face of Data Governance

The Data Administration Newsletter

JULY 2, 2025

As Jonathan Reichental notes in “Data Governance for Dummies,” it touches everything from metadata and architecture to integration, privacy, and BI. At its core, much of this investment — especially in metadata, master data, and data quality — is ultimately about […]

Data Governance

Data Governance Data Quality Business Intelligence Business Intelligence

Financial Data & AI: The Future of Business Intelligence

Defined.ai blog

AUGUST 10, 2023

For example, if your AI model were designed to predict future sales based on past data, the output would likely be a predictive score. This score represents the predicted sales, and its accuracy would depend on the data quality and the AI model’s efficiency. Maintaining data quality.

Business Intelligence

Business Intelligence Business Intelligence Data Analysis Data Analysis

Why Data Quality Programs Fail to Deliver Results

The Data Administration Newsletter

OCTOBER 5, 2022

Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42% of the executives trust their data. According to multiple surveys, executives across industries do not completely trust the data in their organization for accurate, timely business-critical decision-making.

Data Quality

Data Quality Business Intelligence Business Intelligence

How Data Cleansing Can Make or Break Your Business Analytics

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Analytics

Analytics Analytics Big Data Big Data

Power of ETL: Transforming Business Decision Making with Data Insights

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

ETL

ETL Data Quality Data Warehouse Analytics

2025 Planning Insights: Data Quality Remains the Top Data Integrity Challenge and Priority

How to Combine Streamlit, Pandas, and Plotly for Interactive Data Apps

Webinars

Trending Sources

Data quality

Webinars

The Crucial Intersection of Generative AI and Data Quality: Ensuring Reliable Insights

Data catalog

Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Alation 2022.2: Open Data Quality Initiative and Enhanced Data Governance

Data Quality Is In the Eye of the Beholder

Data lakehouse

DataOps

How Data Accessibility Shapes Business Intelligence

Data citizenship

Data lake

Operational data store (ODS)

Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Important Features of Top Business Intelligence Tools

Essential data engineering tools for 2023: Empowering for management and analysis

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

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

Data engineer

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Utilize smart technologies to make smart investments

A Comprehensive Guide to Business Intelligence Analysts

From zero to BI hero: Launching your business intelligence career

From zero to BI hero: Launching your business intelligence career

Understanding Business Intelligence Architecture: Key Components

Data architecture strategy for data quality

Data Management’s Next Frontier is Machine Learning-Based Data Quality

Data mart

Data analytics

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

Data integration

How IBM Data Product Hub helps you unlock business intelligence potential

Visionary Data Quality Paves the Way to Data Integrity

The Declarative Approach in a Data Playground

What Is Data Quality and Why Is It Important?

Decision intelligence

Validation vs. Verification: What’s the Difference?

ETL pipelines

Self-Service BI Is the New Face of Data Governance

Financial Data & AI: The Future of Business Intelligence

Why Data Quality Programs Fail to Deliver Results

How Data Cleansing Can Make or Break Your Business Analytics

Power of ETL: Transforming Business Decision Making with Data Insights

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