A Successful MDM Implementation Plan: Your Strategy Roadmap
Navigating the digital data landscape can be a daunting task. A successful MDM implementation plan is crucial for any business seeking to extract value from its data and streamline its operations. When we talk about a master data management implementation plan, we refer to the systematic approach in which an organization collects, aggregates, manages, and […]
Global Automotive Manufacturer
Facing a mature and overwhelming IT legacy, this global automotive manufacturer recognized the urgent need to modernize its data landscape. See why they chose Semarchy to create a robust, multi-domain MDM architecture
Data Governance and Data Security: Better Together
Data governance and data security are hot topics in the modern business landscape. They’re the cornerstones of solid data strategies and crucial for companies looking to maximize their data assets. While they’re related, these two concepts tackle different aspects of managing data. Understanding how they differ and work together is fundamental to unlocking the full […]
How to Measure Success with Data Governance Metrics
Data governance metrics are essential tools that help organizations measure the effectiveness of their data governance strategy. By tracking these metrics, businesses can gain insights into data accuracy, user engagement, and security protocols, enabling them to make informed decisions that drive success. In this blog, we’ll explore the different types of data governance KPIs you […]
A Quick Guide to Data Governance Roles & Responsibilities
While many organizations focus solely on data collection, the strategic management of that data through effective governance truly drives business value. But what exactly does it entail, and who’s responsible for making it happen? Let’s dive into the world of data governance roles and responsibilities, exploring how they work together to create a robust framework […]
Exclusive Interview: Joshua Stock, VP of Customer Success
Exclusive Interview: Joshua Stock, VP of Customer Success Our series, “Great People Make Great Data” showcases dedicated Semarchy team members. The strength and passion of our people drives innovative data solutions and ultimately, a strong commitment to the success of our clients. We’re here to build strong data teams and lifelong client relationships. As Vice […]
AAIS
Communicating data intelligence across the organization with a flexible, configurable interface to support demanding business users — AAIS leverages Semarchy atop its Data Lake to serve up product and associated reference data, leveraging an intricate data model covering millions of records.
Our Thoughts on the 2022 Gartner IT Symposium/Xpo™
With over 10,500 attendees, the Gartner IT Symposium/Xpo™ conference addressed the most significant challenges faced by CIOs and IT executives today. We attendees joined Gartner experts and our peers in educational sessions and discussions highlighting the opportunities we can collectively bring to solve these challenges. At the conference, the top 5 sessions that CIOs and […]
How to Integrate OpenAI in Semarchy xDM in Five Minutes: Step-by-Step Guide
As mentioned in our first, and second, and third blogs, Semarchy is bullish on the opportunities AI can provide as a copilot to our Master Data Management stakeholders.
The 3 Dimensions of Master Data Evolution
Due to its highly organized and governed nature, Master Data is often mistaken for information with a structure and rules set in stone, changing only in content on a simple linear time dimension. This wrong perception leads new MDM projects owners to believe that the requirements definition and analysis can be managed in a very strict […]
Global Pharmaceutical Network
The global pharmaceutical network faced several data challenges, such as managing multiple systems, inconsistent data, and high error rates between their systems. They realized they needed to eliminate manual data entry work and find an agile solution to provide them with clean, integrated data.
Who Benefits Most from AI/ML Capabilities in MDM?
A primary objective for investing in Master Data Management is to surface actionable information extremely well. What percentage of employees, do you believe, agree this is actually true with respect to their work?