Data Governance, Data Quality, Data Silos and Data Warehouse

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 Business Intelligence

Building a Grassroots Data Management and Data Governance Program

Dataversity

NOVEMBER 1, 2021

Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The post Building a Grassroots Data Management and Data Governance Program appeared first on DATAVERSITY.

Data Governance

Data Governance Data Silos Data Warehouse Data Quality

Modern Data Management Essentials: Exploring Data Fabric

Precisely

JULY 18, 2024

While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governance, and self-service access by consumers. Increase metadata maturity.

Data Lakes

Data Lakes Data Governance Data Warehouse Machine Learning

Webinars

The AI Superhero Approach to Product Management

How To Set Up Innovation So That It Aligns With And Enables Corporate Strategy

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

How To Align Product Management And Supply Chain Operations For Successful Product Launches

MORE WEBINARS

Data Integrity vs. Data Quality: How Are They Different?

Precisely

JULY 12, 2024

When companies work with data that is untrustworthy for any reason, it can result in incorrect insights, skewed analysis, and reckless recommendations to become data integrity vs data quality. Two terms can be used to describe the condition of data: data integrity and data quality.

Data Quality

Data Quality Data Governance Database Analytics

Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

NOVEMBER 15, 2023

Discover the nuanced dissimilarities between Data Lakes and Data Warehouses. Data management in the digital age has become a crucial aspect of businesses, and two prominent concepts in this realm are Data Lakes and Data Warehouses. It acts as a repository for storing all the data.

Data Lakes

Data Lakes Data Warehouse Database ETL

Data Mesh: The Sky Is Not Falling

Alation

APRIL 27, 2023

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

Data Warehouse

Data Warehouse Data Silos Data Governance Data Quality

Data Mesh: The Sky Is Not Falling

Alation

APRIL 27, 2023

Article reposted with permission from Eckerson ABSTRACT: Data mesh is giving many of us from the data warehouse generation a serious case of agita. But, my fellow old-school data tamers, it’s going to be ok. It’s a subject that’s giving many of us from the data warehouse generation a serious case of agita.

Data Warehouse

Data Warehouse Data Silos Data Governance Data Quality

AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

AI

AI AI Data Quality Database

Data Fabric: Convergent Solutions to Avoid Complex Tools Patchwork

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Cloud Data

Cloud Data Data Silos Data Lakes Data Warehouse

How to Build a Data Mesh in Snowflake

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos

Data Silos Database Data Quality Data Engineering

Tackling AI’s data challenges with IBM databases on AWS

IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

AWS

AWS Database AI AI

The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

SEPTEMBER 27, 2024

Data Quality Management : Persistent staging provides a clear demarcation between raw and processed customer data. This makes it easier to implement and manage data quality processes, ensuring your marketing efforts are based on clean, reliable data.

Data Models

Data Models Data Modeling Apache Kafka Data Lakes

How Data Governance Supports Analytics

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance

Data Governance Analytics Analytics Data Quality

Democratizing data for transparency and accountability

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

Data Governance

Data Governance Data Silos Data Analysis Data Analysis

Democratizing data for transparency and accountability

Dataconomy

APRIL 6, 2023

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

Data Governance

Data Governance Data Silos Data Analysis Data Analysis

What Is Data Modernization? 5 Benefits Worth Knowing

Alation

APRIL 19, 2022

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization? How to Modernize Data with Alation.

Data Governance

Data Governance Cloud Data Database Data Silos

Data Science Current

Data architecture strategy for data quality

Building a Grassroots Data Management and Data Governance Program

Webinars

Trending Sources

Modern Data Management Essentials: Exploring Data Fabric

Webinars

Data Integrity vs. Data Quality: How Are They Different?

Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Data Mesh: The Sky Is Not Falling

Data Mesh: The Sky Is Not Falling

AI that’s ready for business starts with data that’s ready for AI

Data Fabric: Convergent Solutions to Avoid Complex Tools Patchwork

How to Build a Data Mesh in Snowflake

Tackling AI’s data challenges with IBM databases on AWS

The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

How Data Governance Supports Analytics

Democratizing data for transparency and accountability

Democratizing data for transparency and accountability

What Is Data Modernization? 5 Benefits Worth Knowing

Stay Connected