Master data types: a detailed look into the heart of master data management
What is Master Data, and Why Does it Matter? In a world flooded with data, the concept of Master Data Management has come to the forefront. It refers to the critical data that defines the core...
View ArticleLeveraging Master Data Management to Enhance Risk Management in Financial...
Your risk exposure is far worse than you think it is. By Katie Joll As corporate finance leaders remain focused on digital transformation as a key priority, high-quality data is a requirement for...
View ArticleMaster Data Management in Banking: 7 best practices
By Scott Moore, Director of Presales, Semarchy With the growing number of interactions, observations, and regulations that banking enterprises manage through various data acquisition points, it is...
View ArticleTransforming Retail with Data Management: 4 Steps to Success
Align data needs with business strategy to ensure internal systems and data management processes support growth. As an industry, one of the greatest challenges for retail businesses is ensuring a...
View ArticleMaster Data Management in Banking: 7 best practices
By Scott Moore, Director of Presales, Semarchy With the growing number of interactions, observations, and regulations that banking enterprises manage through various data acquisition points, it is...
View ArticleEnhance Data Quality in Banking with Master Data Management
By Katie Joll The banking sector has seen dramatic transformations over the last decade, impacting most aspects of key operations. Banks have made progress with their data capabilities between new...
View ArticleMaster Data Management in Banking: 7 best practices
By Scott Moore, Director of Presales, Semarchy With the growing number of interactions, observations, and regulations that banking enterprises manage through various data acquisition points, it is...
View ArticleMaster Data Management Strategies for Improved Risk Management in Insurance
By Katie Joll Risk and insurance go hand-in-hand, and while insurers accept some level of risk, managing it to acceptable levels is a huge concern.A recent NAIC study found that the core risks...
View ArticleThe Ultimate Guide to Master Data Management (MDM)
What is Master Data Management? Master Data Management, often abbreviated as MDM, it is the core process used to manage, centralize, organize, categorize, localize, synchronize, and enrich master...
View ArticleDefining Data Quality Roles and Responsibilities
This blog outlines five key areas of the modern enterprise with critical data quality roles and responsibilities.
View ArticleChoosing the Right Data Quality Tools
Selecting the right tool requires alignment with your organization’s data quality roadmap to meet current and future requirements.
View ArticleDataOps solide catalyse l’innovation
Chaque révolution technologique a son point de bascule. Pour le DataOps d’entreprise, ce moment est arrivé.
View ArticleL’IA et la gouvernance des données
Pourquoi une solide gouvernance des données est la clé du succès de l’IA ?
View ArticleHow to Measure Data Quality
Data-driven decisions are only as good as the data itself – flawed data can turn strategic efforts into expensive mishaps.
View ArticleSemarchy MDM vs. TIBCO EBX
Choosing the right master data management (MDM) platform for your organization is vital. MDM is foundational for extracting business value from your data. By consolidating your data into a single...
View ArticleWhat is Golden Data in MDM?
Duplicate or inaccurate records are one of the biggest obstacles in companies’ efforts to generate high-quality data.
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