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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...

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Leveraging 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...

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Master 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...

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Transforming 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...

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Master 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...

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Enhance 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...

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Master 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...

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Master 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...

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The 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...

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Defining Data Quality Roles and Responsibilities

This blog outlines five key areas of the modern enterprise with critical data quality roles and responsibilities.

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Choosing the Right Data Quality Tools

Selecting the right tool requires alignment with your organization’s data quality roadmap to meet current and future requirements.

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DataOps solide catalyse l’innovation

Chaque révolution technologique a son point de bascule. Pour le DataOps d’entreprise, ce moment est arrivé.

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L’IA et la gouvernance des données

Pourquoi une solide gouvernance des données est la clé du succès de l’IA ?

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Qualité des données pour l’IA

L’adoption de l’IA progresse rapidement.

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How to Measure Data Quality

Data-driven decisions are only as good as the data itself – flawed data can turn strategic efforts into expensive mishaps.

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Semarchy 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...

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What 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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