Data Analysis, Data Governance and Data Silos

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

Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

APRIL 26, 2024

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. It enables organizations to seamlessly access and utilize data assets irrespective of their location or format.

SQL

SQL Data Quality Data Governance Data Scientist

How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

Pickl AI

APRIL 14, 2023

In this blog, we are going to discuss more on What are Data platforms & Data Governance. Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Here comes the role of Data Governance.

Data Governance

Data Governance Data Quality Analytics Analytics

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

MORE WEBINARS

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

Data Fabric and Address Verification Interface

IBM Data Science in Practice

NOVEMBER 28, 2022

Insights from data gathered across business units improve business outcomes, but having heterogeneous data from disparate applications and storages makes it difficult for organizations to paint a big picture. How can organizations get a holistic view of data when it’s distributed across data silos?

Data Pipeline

Data Pipeline Data Quality Data Preparation Data Governance

Data virtualization unifies data for seamless AI and analytics

IBM Journey to AI blog

APRIL 15, 2024

Organizations gain the ability to effortlessly modify and scale their data in response to shifting business demands, leading to greater agility and adaptability. This approach involves integrating both ingested data and data accessed through virtualization within the chosen platform.

Analytics

Analytics Analytics Data Silos AI

A Guide to Data Analytics in the Travel Industry

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Analytics

Analytics Analytics Data Silos Big Data

Data Intelligence empowers informed decisions

Pickl AI

DECEMBER 4, 2023

In the realm of Data Intelligence, the blog demystifies its significance, components, and distinctions from Data Information, Artificial Intelligence, and Data Analysis. Key Components of Data Intelligence In Data Intelligence, understanding its core components is like deciphering the secret language of information.

Data Analysis

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence

Enterprise Analytics: Key Challenges & Strategies

Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. Implementing adaptive, active data governance.

Analytics

Analytics Analytics Data Governance DataOps

5 Ways Data Leaders Can Improve Data Reliability

Dataversity

MARCH 28, 2022

According to estimates from IDC, 163 zettabytes of data will have been created worldwide by 2025. However, this data is not always useful to business leaders until it is organized to be of higher quality and reliability. Despite its importance to effective data analysis, most business leaders […].

Data Analysis

Data Analysis Data Analysis Data Silos Data Quality

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

Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights.

Data Lakes

Data Lakes Data Warehouse Database ETL

HCLS Companies: 10 Data Analytics Challenges to Overcome with Sigma Computing & Snowflake

phData

SEPTEMBER 1, 2023

This integration ability is particularly important because it allows companies to avoid the costly and time-consuming process of replacing everything in their current data lifecycle. By combining data from disparate systems, HCLS companies can perform better data analysis and make more informed decisions.

Analytics

Analytics Analytics Data Analysis Data Analysis

Why Lean Data Management Is Vital for Agile Companies

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

Data Silos

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence

The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions

Alation

JULY 21, 2020

The post The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions appeared first on Alation.

Data Silos

Data Silos Data Governance Data Analysis Data Analysis

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Data analysts discover the data and subscribe to the data.

SQL

SQL Data Analyst Data Warehouse AWS

Continuous intelligence

Dataconomy

MARCH 18, 2025

Continuous intelligence (CI) is reshaping how organizations approach data analysis and decision-making. As businesses increasingly rely on data to drive efficient operations, CI allows them to harness both real-time and historical data seamlessly.

Machine Learning

Machine Learning Machine Learning Data Analysis Data Analysis

Data Science Current

Democratizing data for transparency and accountability

Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

Webinars

Trending Sources

How Can The Adoption of a Data Platform Simplify Data Governance For An Organization?

Webinars

Democratizing data for transparency and accountability

Data Fabric and Address Verification Interface

Data virtualization unifies data for seamless AI and analytics

A Guide to Data Analytics in the Travel Industry

Data Intelligence empowers informed decisions

Enterprise Analytics: Key Challenges & Strategies

5 Ways Data Leaders Can Improve Data Reliability

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

HCLS Companies: 10 Data Analytics Challenges to Overcome with Sigma Computing & Snowflake

Why Lean Data Management Is Vital for Agile Companies

The Modern Data Catalog: ‘Mythbusting’ the Top Four Assumptions

Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Continuous intelligence

Stay Connected