OvalEdge Blog - our knowledge about data catalog and data governance

Conversational Analytics Software: Top Picks for 2025

The blog highlights the importance of conversational analytics software, which uses AI technologies like NLP and Machine Learning to analyze customer...

conversational-analytics

Data Governance vs Data Analytics: What’s the Difference?

Data governance builds trust, consistency, and compliance into organizational data, while data analytics converts that governed data into insight and...

data-governance data-analytics

Self service analytics tools: Best platforms and features for 2025

The article explores the best self-service analytics tools for 2025, detailing how top BI platforms use AI, intuitive dashboards, and strong...

conversational-analytics

Master Data Management and Data Governance for 2025

The blog highlights the importance of integrating Master Data Management (MDM) and Data Governance for ensuring data accuracy, security, and...

master-data-management

6 Best Data Ingestion Tools for Scalable Data Pipelines

Data ingestion tools are essential for businesses struggling with managing vast amounts of raw data from various sources. These tools automate the...

data-governance

Master Data Management Tools: Key Features & Benefits for 2025

Master Data Management (MDM) tools centralize critical business data to ensure accuracy, consistency, and governance across systems. The article...

master-data-management

Top Open Source ETL Tools for Real-Time Data Integration

Open-source ETL platforms help unify data through customizable connectors, transformations, and orchestration. Options such as Airbyte, Talend,...

data-governance

AI Metadata: Definition, Benefits & Complete Guide 2026

AI metadata uses machine learning to add structure and context to complex data, making information easier to search, govern, and analyze. It enriches...

metadata-analytics

Complete Guide to Data Warehouse Migration in 2025

The blog outlines the importance of migrating data warehouses to modern, cloud-based platforms to address challenges like slow performance, high...

data-catalog

AI Data Management: Key Components and Best Practices for 2025

AI data management is a comprehensive approach that uses artificial intelligence technologies to automate, optimize, and improve data management...

metadata-management

9 Common Data Quality Problems and How to Fix Them

Data quality problems like inconsistent formats, outdated records, and human errors are frequent hurdles for organizations. By establishing clear...

data-quality

Database vs Data Warehouse: The Complete Practical Guide

Operational databases run the business; data warehouses explain its performance. This guide contrasts OLTP and OLAP, normalized and dimensional...

data-catalog

Enterprise Metadata Management Strategy for 2025

Enterprise metadata management provides a unified framework to govern, standardize, and integrate metadata across systems. By centralizing catalogs,...

metadata-management

Active Data Governance: A Comprehensive Guide for 2025

As businesses face growing data complexity and regulatory pressures, traditional, reactive data governance models are no longer sufficient. Active...

data-governance

Data Vault Architecture Explained (2025)

Data vault modeling stabilizes volatile data ecosystems by decoupling identifiers, relationships, and descriptive details. Hubs, links, and...

data-governance

Top 9 Data Orchestration Tools for Streamlining Workflows

Data orchestration tools automate and streamline the management of complex data workflows across systems, improving efficiency, data quality, and...

data-governance data-orchestration

What is Active Metadata? Key Benefits & Best Practices for 2025

Active metadata replaces static, manual passive metadata with dynamic, real-time intelligence that reflects how data changes, moves, and is used. By...

metadata-analytics

Data Lineage vs Data Provenance: Which One Does Your Business Need?

Data lineage maps how data flows and transforms across systems, while data provenance records its origin, authorship, and historical changes....

data-lineage data-provenance

Metadata vs Master Data: What They Are & Why They Matter in 2025

The blog explains the key differences between metadata and master data, emphasizing their roles in data governance and quality. Metadata describes...

metadata-analytics

Top Data Collection Techniques: Best Practices for 2025 and Beyond

This guide explains how qualitative, quantitative, and mixed-methods techniques shape data accuracy and insight quality. It details when to use...

data-catalog

Data Governance Policy: What It Is & How to Create One

A data governance policy brings order to fragmented data by defining ownership, standards, and controls. This guide outlines why policies matter, how...

data-governance

Metadata Management Best Practices: A Complete 2025 Guide

The blog discusses the critical role of metadata management in scaling analytics and AI initiatives. It highlights common challenges like data...

metadata-management

Data Governance & Compliance Framework: Best Practices for 2025

A rising regulatory landscape and mounting breach costs make disciplined data governance and compliance essential. This guide outlines the...

data-governance data-compliance

Benefits of Agentic Analytics: Streamline Operations with Data Insights

Agentic analytics leverages AI-driven agents to autonomously analyze and act on data in real time, unlike traditional BI tools that only visualize...

agentic-analytics

Best Data Profiling Tools in 2025: Full Comparison

Data profiling tools have become vital for ensuring data quality, compliance, and governance. This guide compares top platforms like OvalEdge,...

data-quality data-profiling

Top 10 Data Privacy Management Software for Risk Mitigation

The blog discusses the challenges organizations face in managing sensitive customer data across fragmented systems and complying with evolving...

data-privacy

Top 7 Data Governance Companies for Regulatory Compliance in 2025

Data governance is critical for businesses to manage, secure, and comply with regulatory standards regarding their data. Without proper frameworks,...

Data Quality Dimensions: Key Metrics & Best Practices for 2025

Data quality dimensions, including accuracy, completeness, consistency, timeliness, validity, uniqueness, and integrity, define the standards for...

data-quality

Data Lifecycle Management: What It Is, How It Works & Why It Matters

Data Lifecycle Management (DLM) transforms chaotic data environments into structured, compliant ecosystems. This comprehensive guide to Data...

data-analytics data-quality

Top Data Governance Tools 2025: Best Software Guide

The 2025 data governance landscape is defined by automation, scalability, and trust. Leading platforms like OvalEdge, Alation, and Collibra integrate...

data-governance

Best Automated Data Lineage Tools for 2025: Full Comparison

Data lineage automation maps how data flows and transforms across an organization. In 2025, leading tools like OvalEdge, Alation, and Atlan emphasize...

data-lineage

Data Lakehouse Architecture: Unifying Analytics in 2025

The data lakehouse brings together the best of data lakes and warehouses in one unified, governed architecture. It enables real-time analytics, AI,...

data-lakehouse

Data Mesh vs Data Fabric: What’s the Difference and When to Use Both

Data Mesh and Data Fabric represent two complementary paths to modern data architecture. Mesh decentralizes ownership, empowering domain teams to...

data-mesh data-fabric

What is Automated Data Governance? Key Components & Benefits for 2025

Manual data governance can’t keep pace with modern complexity. Automated governance unifies data discovery, metadata management, and policy...

data-governance

What Is Data Stewardship? Framework, Roles & Tools (2025 Guide)

Data stewardship transforms governance from theory into action, ensuring data remains accurate, accessible, and compliant across its lifecycle. This...

data-analytics data-stewardship

Metadata Management Tools: AI-Ready Solutions 2025

Modern metadata platforms now unify cataloging, lineage, and governance into a single system, providing organizations with a clear view of their data...

metadata-management

Agentic Analytics: Enhancing Business Decisions with AI and Automation

Agentic analytics bridges the gap between static data and intelligent automation, empowering organizations to predict, decide, and act autonomously....

agentic-analytics

Data vs Metadata: Understanding the Core Difference

As businesses scale, disconnected data and unclear context lead to inconsistent insights, duplicate metrics, and broken trust in analytics. Metadata...

metadata-management

Best Data Masking Tools for Secure Data in 2025

As data privacy and compliance take center stage in 2025, this blog explores how data masking tools protect sensitive information while keeping data...

data-analytics data-masking

Top 9 Cloud Governance Tools to Try in 2025

Cloud governance in 2025 has evolved from static oversight to intelligent automation. This guide explores nine top tools, like AWS Control Tower,...

data-governance data-access

Data Dictionary Tools: Best Picks for 2025

As organizations juggle growing data systems, inconsistent definitions often create confusion and mistrust. A modern data dictionary brings order by...

data-analytics big-data

Top 8 Data Privacy Tools: Protect & Automate Compliance 2025

Data privacy tools in 2025 help organizations automate compliance, manage consent, and protect sensitive data across cloud and SaaS environments....

data-security data-privacy

Top 10 Data Discovery Tools in 2025: Top Picks & Key Features

Data discovery tools in 2025 use AI and automation to help organizations find, classify, and manage data across cloud, hybrid, and on-prem systems....

data-analytics

Data Observability Tools: Top 10 Platforms to Evaluate in 2025

Data observability tools are now vital for ensuring data reliability, freshness, and trust across modern analytics stacks. This 2025 guide compares...

data-observability

The 10 Data Access Governance Tools Every Enterprise Needs in 2025

The modern enterprise runs on distributed data, but without governance, visibility vanishes and risk multiplies. In 2025, Data Access Governance...

data-access

Snowflake Data Lineage: The Complete Guide to Tracking Data Flow

Snowflake data lineage delivers complete visibility into how data moves, transforms, and is consumed across your ecosystem. This guide explains...

data-lineage

Data Quality Tools 2025: The Complete Buyer’s Guide to Reliable Data

In 2025, data quality defines business trust, compliance, and AI reliability. With expanding data pipelines and self-service analytics, maintaining...

data-quality

What Is a Data Governance Committee? Roles, Structure & Best Practices

As organizations grow, data chaos becomes inevitable, with multiple systems, conflicting KPIs, and endless debates over “what’s right.” A data...

data-governance

Essential Guide to Data Catalogs for Better Governance

Data sprawl has turned speed into chaos. Teams race to deliver insights, but without a centralized catalog, they’re running blind, by duplicating...

data-catalog

Metadata Analytics: Complete Guide for 2025

Organizations struggle with inconsistent, siloed data that weakens trust and decision-making. Metadata analytics resolves this by mapping data...

metadata-management

Types of Metadata in Data Governance: A Complete Guide

The challenge in modern data governance isn’t data volume, it’s visibility. Without structured metadata, organizations can’t track where data lives,...

metadata-management

What is an Enterprise Data Governance? Benefits and Implementation

Data is growing faster than governance can keep up. Breaches rise, compliance gaps widen, and decision-makers lose trust in the numbers they see....

data-governance

9 Must-Try Agentic Analytics Tools for Data-Driven Teams

The lag between insight and action costs more than missed KPIs—it undermines trust in analytics. Agentic analytics tools close that gap by embedding...

agentic-analytics

The Four Pillars of Data Governance for Modern Enterprises

Every organization wants to be data-driven, yet most spend more time reconciling reports than interpreting them. Without shared definitions,...

data-governance

Data Lineage vs Data Catalog: Key Differences for 2025

Organizational decisions that are data-driven fail when leaders can’t see how data moves or who touches it. Data lineage and cataloging restore that...

data-catalog data-lineage

Modernizing Data Platforms with Governance First

Modern data platforms like Microsoft Fabric and Databricks promise speed, but without governance they only accelerate chaos. Governance is not just...

data-governance

Fast-Tracking Data Governance with Agentic Metadata Analytics

Data governance doesn’t have to be slow or complex. askEdgi uses agentic AI to perform metadata search and analytics, turning weeks of manual...

data-analytics

Top Data Governance Frameworks: Best Detailed Guide

A data governance framework is an organisation’s blueprint for managing data effectively. It defines roles, responsibilities, policies, and...

data-governance

Top 25 Data Lineage Tools in 2025 (Must Try!)

As data estates become more fragmented and regulations like GDPR, BCBS 239, and HIPAA demand transparency, the need for accurate, automated data...

data-lineage

Discover Top 12 AI-Powered Open Source Data Lineage Tools

AI is reshaping how data teams automate lineage and understand data flows across distributed systems. While open-source tools are driving much of...

data-lineage

Top 35 Data Catalog Tools in 2025 (Suggested By Experts)

With an abundance of data catalog tools available in 2025, selecting the right one for your organization's specific needs can be daunting. This...

data-catalog

How an AI-Powered Data Catalog Transforms Discovery and Governance

AI isn’t just making data catalogs smarter; it’s redefining how organizations manage metadata across their lifecycle. From connecting to data...

data-catalog

The Difference Between Data Catalogs and Data Governance: Explained

Data catalogs and data governance programs are two distinct yet interconnected pillars of modern data management. While a data catalog enhances...

data-governance data-catalog

BCBS 239 Compliance Through Practical Data Governance Use Cases

As regulatory expectations intensify, banks are pressured to manage and report risk data with greater transparency and reliability. BCBS 239, a...

data-compliance

Top 7 AI-Powered Open-Source Data Quality Tools in 2025

Open source data quality tools are evolving fast and AI is accelerating that evolution. By combining the flexibility of open frameworks with...

data-quality

What is a data catalog? Its evolution & impact on modern data management

A centralized data catalog system enables organizations to manage, discover, and govern their data assets. Initially, data catalogs served as simple...

data-catalog

Complete Data Catalog Pricing Guide for 2026

Choosing a data catalog in 2025 isn’t just about finding the lowest price—it’s about understanding the total cost of ownership. This guide breaks...

data-catalog

3 Pitfalls to Avoid When Choosing a Data Catalog

Selecting the right data catalog is critical, yet organizations often fall into three major pitfalls. First, failing to prioritize connector support...

data-catalog

Understanding and Implementing Saudi Arabia's NDMO Standards

The Kingdom of Saudi Arabia (KSA) set out to improve the resilience of its data management landscape with the launch of the National Data Management...

data-compliance

Top 7 Open-Source Data Catalogs Tools in 2025

Open-source catalogs offer an attractive starting point for organizations embarking on their data cataloging journey. Data catalogs help...

data-catalog

Top 5 AI-Powered Open-Source Data Governance Tools in 2025

For organizations beginning their data governance journey, open-source tools offer an attractive starting point. They provide low-cost, foundational...

data-governance

Choosing the Best Data Governance Tool for Beginners

Organizations starting their data governance journey should choose a comprehensive, flexible tool—both in scope and pricing—over a limited point...

data-governance

Assessing Data Governance Platforms

Learn how to assess data governance platforms in five steps utilizing the OvalEdge Data Governance Platform Comparison Guide.

data-governance

Citigroup’s Data Governance Disaster

Despite major growth, US banking giant Citigroup has failed to address fundamental data governance processes leading to a multitude of fines and an...

data-governance

Measuring AI Readiness

AI readiness assessments measure an organization’s preparedness for implementing AI initiatives. In this blog, we examine common assessment areas,...

ai-readiness

How Data Governance Helps Academic Medical Centers Win Research Grants

In this article, we explore how data governance can help Academic Medical centers (AMCs) secure research grants. As of 2023, the following US...

data-governance

Implementing All Four Aspects of Data Quality

Data quality implementation follows a series of tried-and-tested methodologies. In this blog, we explore these methodologies, the order in which you...

data-quality

How Organizations Use Data Governance to Cut Patient Readmissions

Readmission rate is a key financial and operational `metric for many healthcare providers in the US. This blog shows how CDOs can leverage data...

data-governance data-analytics

AI Drug Discovery in Pharma: Transforming Research

AI can accelerate drug discovery for pharmaceutical companies. But, AI technologies need to be trained on the right data for the process to work...

ai-readiness

How OvalEdge Supports Column-Level Lineage With Dremio

OvalEdge connects with Dremio to support multiple data governance functions. Among them, lineage building. In this blog, we’ll explain how the...

data-lineage

Top AI Governance Use Cases in Banking for Innovation

The adoption of AI in banking and financial services has accelerated rapidly, transforming critical functions such as fraud detection, credit...

ai-readiness

Trusted AI: Why AI Governance is a Business-Critical Concern

Imagine unprecedented potential with AI, only to find your organization vulnerable and unprepared. In this blog, we will explain why effective AI...

ai-readiness

Why AI Governance Should Begin During Design, Not Deployment

In this blog, we’ll explain why AI governance must be built into the design of AI tools and not introduced at deployment.

ai-readiness

What Is AI Governance? Definition, Importance, and Key Frameworks Explained

AI is powering everything from fraud detection to chatbots to complex decision-making, but it also introduces serious risks. If AI tools behave...

ai-readiness

Comparing AI Data Readiness and Data Quality

AI data readiness is different from traditional data quality. This article explains that difference using concrete examples so you can better prepare...

data-quality ai-readiness

7 Common Data Quality Pain Points for CROs: Examples & Fixes

Data quality issues can severely impact a Chief Risk Officer’s (CRO’s) ability to build accurate, compliant, and data-driven risk models. In this...

data-quality

What is Data AI Readiness? Preparing for AI Success

AI readiness hinges not on advanced algorithms but on data. Hence, organizations must prioritize data’s AI-readiness. This implies ensuring data is...

ai-readiness

PDPL Compliance Made Easy for UAE Banks

Saudi Arabia and the UAE have introduced a new legislation, the Personal Data Protection Law (PDPL), that mirrors the EU’s GDPR. We explain what the...

data-compliance

What Is AI Readiness? Framework, Assessment & Steps for 2026

Simply procuring AI technology is not sufficient; you also need to become AI-ready. This article explains the key elements of AI readiness.

ai-readiness

AI Needs Domain Knowledge to Boost Data Quality

In this article, we explain how AI and domain knowledge combined tackle every aspect of data quality and how OvalEdge provides this holistic solution...

data-quality ai-readiness

Improving Data Quality at a Regional Bank | A Case Study

A regional US bank used OvalEdge to tackle data quality issues that were leading to inaccurate liquidity risk and credit risk predictions, and...

data-quality

Data Quality Purpose-Built for Banking

For banks, issues with data quality can have dramatic repercussions financially and from a compliance perspective. In this blog, we’ll explore the...

data-quality

Data Quality Challenges for Fair Lending Compliance in Banking

Data quality is a major pain-point when it comes to fair lending compliance. Most existing tools are not purpose-built to address this challenge....

data-quality

Data Lineage Explained with Examples

This article aims to demystify the intricacies of data lineage by exploring its two main types—Business Data Lineage and Technical/ETL Data...

data-lineage

Top Features of Data Catalogs for Effective Data Management

In the ever-evolving landscape of data management, organizations are increasingly recognizing the importance of having a robust data catalog to...

data-catalog

Snowflake Horizon: Governance & Catalog Features

Snowflake Horizon, a built-in governance suite for Snowflake customers, covers every aspect of data governance with native features addressing...

How to Implement Data Governance in Small and Mid-Sized Banks

Data governance is crucial in every industry, but the stringent regulatory requirements in the financial sector make well-governed data one of the...

data-governance

Data Lineage Tool Features Explained: What Every Business Needs

In the intricate landscape of data management, understanding the journey and relationships of your data is paramount. A data lineage tool serves as a...

data-lineage

Data Governance in Technology Companies

In this digital wilderness, tech companies stand as pioneers and explorers in a vast sea of data. As they embark on their quest for technological...

data-governance

The Top Three CDO Priorities for 2025

Every year, technical roles in organizations must adapt to the changing face of the business technology landscape. This year, the CDO is facing a...

data-governance

Top 8 Features of a Data Quality Tool

High-quality data is a cornerstone of data governance, but many companies still fail to implement ways to ensure it. The best way to boost data...

data-quality

Step by Step DPDP Implementation Guide for Secure Data

The Digital Personal Data Protection (DPDP) Act 2023 introduces a comprehensive framework for organizations in India to ensure the privacy, security,...

data-compliance

Data Governance : Cost of Inaction

Some business decisions—like implementing an ERP system—will boost productivity, but the worst that will happen if you fail to act on them is losing...

data-governance

Data Governance in the Insurance Industry: Key Strategies for Compliance

Choosing a company to insure them when the worst-case scenario happens is one of the most important decisions a person can make. The trust customers...

data-governance

Data Lineage Drivers and Techniques - OvalEdge

Data lineage, tracking, and recording the various processes and changes data has been through since its inception is one of the core aspects of data...

data-lineage

Business Glossary | Challenges and Solutions

Many data teams may believe the hard work is over once they have collected and curated the terms required to create a business glossary....

business-glossary

Risk Assessment in Banking

Guest author Dr. Sujatha (Su) Rayburn is Vice President of Information Management and Analytics at Delta Community.

data-governance

What is Data Curation?

In a museum, the curator collects, organizes, manages, and preserves valuable art and artifacts. And without them, museums would just be big rooms...

data-governance

Master Snowflake Access Management for Secure Data Sharing

When you opt for a data management or storage solution, you always consider the security implications. You want to ensure your data is always safe,...

data-security data-access

How to Make Data AI-Ready: 4 Essential Steps for 2026

The real question many leaders are asking today is: Is your data ready for AI? Or more directly, is your data AI-ready?

ai-readiness

What is a Chief Data Officer? And How To Became One

The role of the Chief Data Officer (CDO) is inextricably linked with data governance. Without experience managing data governance programs,...

data-governance

Finding the Right Data Governance Tool in 2026

During a recent conversation, a CDO told me he had just hired a Data Governance Lead who wanted to begin drafting data access policies. “You...

data-governance

Understanding Data Quality Metrics and Dimensions

Data quality is a cornerstone of data governance and has a huge impact on the effectiveness and accuracy of business decisions. In this blog, we...

data-quality

What is a Business Glossary? Definition, Examples, Template

Before I dive into what a business glossary is and how best you can develop one for your organization, I want to use a famous example that shows the...

business-glossary

Data Catalog vs Data Dictionary - Differences & Use Cases

In the modern age, companies are responsible for a mind-bogglingly huge amount of data. If you imagine as much data as possible, it wouldn’t even...

data-catalog

Data Dictionary: What is it and how do you create your own?

At this point, it’s cliche to emphasize the importance of data nowadays. Nearly every business relies heavily on data, and people are increasingly...

data-governance

Data Governance in Financial Services: Best Practices & Frameworks

According to the 1966 musical Cabaret, ‘money makes the world go around’. But in 2023, it could be argued that data is just as pivotal to the earth's...

data-governance finance

Master Data Obfuscation in 2026: Essential Methods & Benefits

In today's digital world, data is a valuable asset that businesses rely on for decision-making, operations, and competitive advantage. But with the...

data-obfuscation

What is Active Metadata Management? Definition & Benefits

By adopting aggressive metadata analysis across your complete data management environment, you can reduce the time-to-delivery of new data assets to...

metadata-management

Data Governance: What, Why, Who & How. A practical guide with examples

Digital transformations are sweeping the business world at every level. From global enterprises trading legacy systems for multi-cloud architecture...

data-governance

Data Governance in Healthcare: Importance, Benefits & Best Practices

It gets clearer each year that data is at the heart of most businesses, which makes it vital to maintain high-quality standards.

data-governance healthcare

What is Data Fabric? Definition & Architecture

With the increased importance of data to businesses, it’s no surprise that there are more and more ways to organize and store data.

data-fabric

Data Quality Management Framework: How to Build Reliable Data Systems

Data quality management is an essential element of data governance. However, to undertake it effectively, you need a dedicated tool. In this article,...

data-quality

How OvalEdge and Dremio Support Data Agility

In today's data-driven business landscape, organizations are becoming increasingly aware of how crucial data governance is in maintaining the...

3 Data Privacy Compliance Challenges that can be solved with OvalEdge

When you manage large amounts of data, privacy will always be front of mind. The most obvious reason is to avoid falling foul of rules and...

gdpr data-compliance

5 Core Benefits of Data Lineage

One thing all data-driven organizations are aware of is the fluidity of data. Far from being a static resource, data is constantly moved from one...

data-lineage

Data Security in Snowflake: How OvalEdge Enables Secure Data Sharing & Governance

OvalEdge has completed the Snowflake Ready Validation Program. This third-party technical validation process confirms that OvalEdge integration is...

Data Observability: Key to Reliable and Trustworthy Data

It’s pretty much a cliché to say these days, but data really is the foundation of modern business. Not only is there an eye-watering amount of it,...

data-observability

What is Data Mesh? Principles & Architecture

Until recently, data lakes were the hot thing in data architecture, but more and more companies are turning away from this approach in search of an...

data-mesh

Data Governance vs Data Quality: Key Differences & Best Practices

Data quality and data governance are closely aligned but there are some important differences between them. That said, successful data quality...

data-quality

OvalEdge 6.0: New Features, UI Enhancements & Performance Upgrades Explained

The latest version of OvalEdge is about to be released in a month, and there's much to be excited about. It is packed with new OvalEdge features and...

data-governance

Top 5 Data Governance Use Cases

It’s almost impossible to emphasize how important data is to both people and industry. Not only is data at the heart of most business operations, but...

data-governance

Guide To Make A Successful Data Governance Roadmap

A Data Governance (DG) roadmap will bring together your drivers, priorities, team members, and capacity and determine how governance will work to...

data-governance

Empower your Data Governance Policy with Matillion ETL and OvalEdge

Data governance is a hot topic right now. For companies today, ensuring proper data asset management and curating a culture of accountability over...

Data Access Governance Best Practices | OvalEdge

Imagine a coworker logs in to the company’s HR portal to see his benefits and can see your salary!! What? Don’t worry, that won’t happen as these...

data-access

How Chief Data Officers overcome three key challenges they face

The role of a Chief Data Officer (CDO) is relatively new and hence laden with many new challenges. But knowing these issues beforehand can help you...

data-governance

End-to-End Data Governance in Snowflake: Framework, Access & Agility

Data governance is a comprehensive, collaborative process that brings business, compliance, and IT teams together. Collectively, they can ensure data...

data-governance

Data Access Management Basics & Implementation Strategy

Regulating access to data is one of the most important aspects of data governance. As a result, data access management has evolved into an...

data-access

Data Governance Vs Data Stewardship: Explained in Detail

Data governance and data stewardship are two crucial terms that you can’t afford to forget if you want to derive the maximum value from your...

data-governance

Why Data Governance & Metadata Management Work Better Together

Metadata management is a critical element of data governance that enables users to derive value from the data they have at their disposal. Beyond...

data-governance metadata-management

Data Governance Maturity Model: Measure & Improve Your Data Governance

Summary: A data governance maturity model is a tool and methodology used to measure your organization's data governance initiatives and communicate...

data-governance

Building a Business Glossary - Why and How

A data governance business glossary is an essential data literacy tool and crucial for understanding the data in your organization and undertaking...

business-glossary

How Cross-Team Collaborative Analytics Benefits an Organization

Over the last decade, analytics has evolved from simple reporting dashboards into powerful, organization-wide intelligence engines. Today, companies...

data-governance

Best Practices for Improving Data Quality (Must Read!)

If you’ve read our other data quality blogs in this series, you’ll understand the importance of high-quality data for accurate decision making,...

data-quality

How to Build a Strong Business Case for Data Governance

The key steps to building a business case for data governance are: Identifying and building the value driver Understanding pain points Building a...

data-governance business-case

Data Privacy Compliance: How to Ensure it and How it Can Benefit Your Business

Compliance in a data governance context refers to the measures taken by a data governance team, specifically data protection officers, to ensure an...

data-compliance

Data Literacy: Meaning, Importance & Key Business Benefits

In today's world, data is everywhere. But just having data isn't enough; your team needs to understand it. This understanding is what we call data...

data-governance

Data Discovery: What it is, Why it’s Important for Data Governance

An essential business intelligence (BI) process, effective data discovery provisions make an organization’s data easy to locate, regardless of where...

data-governance

Best Data Governance Tools & Software in 2025 | Top Platforms & Features

Organizations are investing heavily in data governance initiatives to help ensure their data delivers business value. A successful data governance...

data-governance

Framework of Data Governance

If there’s anything that’s defining thriving businesses today, it’s a strong understanding and strategizing the use of a company’s data.

data-governance

Data Governance: What It Means and What Are Its Drivers

If there’s anything that’s defining thriving businesses today, it’s a strong understanding and strategizing the use of a company’s data.

data-governance

Getting Started with OvalEdge Data Catalog

This guide helps you to navigate through various features and functionality of OvalEdge. It will help you to get started with OvalEdge quickly.

data-catalog

How to Start Doing Data-driven Supply Chain Optimization

What is Supply Chain Optimization (SCO)? A supply chain is the sequence of processes and activities involved in the production and distribution of a...

data-analytics

A step-by-step guide to build a data catalog

What is a data catalog? A data catalog is a systematic list of all data assets in the form of tables, files, reports, etc. that exist in a company's...

data-analytics data-catalog

Data Analytics unravels the secret of Oleg’s popularity on LinkedIn

Q. What is the secret of Oleg’s popularity on LinkedIn? LinkedIners would surely like to know the answer to this question. Oleg Vishnepolsky is a ...

data-analytics

Get GDPR ready

For multinational companies, today is the time to act on GDPR. WHY? There is an adage which holds true here – A stitch in time saves thine! You don’t...

gdpr data-compliance

What is Metadata Management? Everything You Need To Know

“For me, context is the key – from that comes the understanding of everything.” – Kenneth Noland, American painter Effective metadata management in...

big-data metadata-management

Benefits of a Data lake

The key benefit of a data lake is that you can store any and all data in one place incurring a low cost, pulling it as analytical needs arise. But...

big-data

Hadoop Best Practices for Data Ingestion

Hadoop Data ingestion is the beginning of your data pipeline in a data lake. It means taking data from various silo databases and files and putting...

hadoop

What is Unstructured Data and How to Process it on Hadoop?

Hadoop was invented to process unstructured data. First at Google, then at Yahoo and Bing, it was used to create page rank based on keywords from the...

hadoop unstructured-data

Equifax and the Curious Case of Data Breach. How to Dodge that Bullet?

Equifax is the recent addition to the ever-increasing list of a data breach. Companies are scampering to bolster their defenses with piecemeal...

data-security

Hadoop best practices for ETL

Hadoop, an open-source framework has been around for quite some time in the industry. You would see a multitude of articles on how to use Hadoop for...

hadoop big-data

Can data-driven curiosity cure our cognitive biases?

Cognitive biases and our brain Does the fact that having biases is an inherent part of the human brain, surprise you? Don’t be surprised as this is...

big-data

What does this election tell about big data

Old Prediction Models

big-data

BI, Analytics, and Discovery? Know the difference in the big data era

Before starting from home for the airport, you put your flight number – DL28 on Google search. It shows you the current flight status from Atlanta to...

hadoop big-data