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Data Management and Record Linkage

Data management cannot happen without people, practices, and proper tools. Ever-growing data sets require careful monitoring, maintenance, and assessment. You can’t leave everything solely to software and automation – or you open your organization to deterioration of your data assets and potential risks. Specialists are an important safeguard to what happens with your data. Data …

Data Stewardship Explained: The Backbone of Data Management Read More »

Let’s take a quick look at how organizations attempt to use Excel for comparing and matching data, then discuss some of the problems this creates.

In brief, MDM is a process and set of tools for consolidating and managing an organization’s most critical (“master”) data. This data is then cleansed, enriched, and made available to authorized users in a consistent format. And it yields tremendous benefits for companies who implement it properly.

Record linkage (also known as data matching, data linkage, and named entity resolution) is the process of identifying and disambiguating real-world entities such as people, places, organizations, and products in unstructured data. For example, teams may be keeping track of customers in different ways, using alternative spellings or abbreviations.

Software tools have been developed to automate the process of record linkage. In this article, we’ll take a look at the available types of record linkage tools, how they work, and some use cases for each.

The term “heterogeneous data” refers to a body of data that comprises multiple formats and sources. For example, customer data may be scattered across various databases, CRM systems, and spreadsheets. With so many sources involved, it can be difficult to get a complete and accurate picture. In enteprise settings and companies relying heavily on data, …

Big Data in Business Analytics vs. Entity Resolution Read More »

How many data sources are you dealing with? How do they relate to one another, and what specific challenges are making it difficult to get a clear, big-picture view? In this article, you’ll learn how to make sense of KPIs from different data sources.

MDM is the process of creating and maintaining a consistent, accurate, and complete view of an organization’s critical data. It includes identifying, cleansing, and enriching data; governing its use; and synchronizing it across disparate systems.

Inconsistent data can prevent you from gaining a holistic view of what’s going on in your company, causing you to miss connections, trends, opportunities, and threats. In this article, we’ll talk about how to fix that.

Incomplete or inaccurate data has a ripple effect across organizations, leading to decreased productivity, higher churn, and missed opportunities.

MDM is a complex initiative, but one that can offer tremendous benefits to your organization – if it’s done right. Here’s how an MDM consultant can help.

Cross-linking data is the process of linking together data that is stored in different systems. This can be done manually, by entering the relevant information into each system, or automatically, using software that is designed to connect different systems. Either way, the goal is to create a single, cohesive view of your organization’s data – …

Benefits of Customer Data Integration and Superior Data Linking Read More »

Having a 360-degree view on who your customers are is the best way to create a solid foundation for all your customer-related processes, so it’s critical that your data is accurate, up-to-date, and easily accessible.

Machine learning offers an alternative approach to record linkage. Instead of using a rigid set of rules, machine learning algorithms can learn from data to identify which records should be linked.

The best way to turn Salesforce into a true asset for data management is to use it as part of a master data management (MDM) framework. MDM is a method of organizing and managing your data so that it is accurate, consistent, and accessible. Did you know that Salesforce has some built-in MDM features, include …

Salesforce Master Data Management: Implementation Best Practices Read More »

There are many benefits to having a canonical record set, such as improved data quality, reduced storage costs, and easier data management. In order to create and manage a canonical record, there are a few things you need to do.

A canonical model (also known as common data model) is a single, common, model that ensures your systems can communicate in a consistent way. It can help you create a definitive source of truth for specific types of data.

For businesses, to make sense of the exponentially growing data, formatting and standardizing it in a consistent way becomes crucial. You can’t achieve holistic, consistent analytics when a data warehouse or data mart doesn’t serve its purpose with data siting there unstandardized, unlinked, and fragmented.

If you’ve taken stock of your organization’s data management practices lately, you may have realized that there is a lot of room for improvement. Data is the lifeblood of every business, yet it’s often treated as an afterthought and handled in a loose, improvised fashion. 

If you’re looking for a way to streamline your business operations, reduce costs, and improve employee satisfaction, operational master data management (MDM) may be the solution you need. This system helps organizations keep their critical data consistent and accurate across multiple applications and databases, providing a centralized view of important information that can be accessed …

Operational MDM: The Cornerstone Of Efficient Business Operations Read More »

Are you preparing to migrate your organization’s data to a new storage solution? Data migration can be a daunting task, but it doesn’t have to be a nightmare. With careful planning and adherence to best practices, you can ensure a smooth and successful transition. In this article, we’ll cover the essential elements of a successful …

Data Migration: Best Practices For A Smooth Transition Read More »

Large-scale data migration can be a daunting task, but with careful planning and execution, it can be made easier. In this article, we offer ten tips for a smooth migration, including thorough planning, automation, testing, backups, monitoring, downtime planning, data integrity verification, data cleanup, future-proofing, and documentation. By following these tips, you can make your …

Large Scale Migration Of Your Data: 10 Tips To Make It Painless Read More »

In the digital age, data migration is a common and essential process for organizations upgrading or consolidating their systems. However, this process is not without risks, including data loss, corruption, unauthorized access, and downtime. In “The Many Risks of Data Migration and How to Avoid Them,” you will learn how to minimize these risks and …

The Many Risks of Data Migration and How to Avoid Them Read More »

Wealth of available data and its exponential growth brings the challenge of extracting actionable insights. Data cleaning and normalization are crucial steps in the process of ensuring that the data is accurate, consistent, reliable, and ready for analysis.. Ready to unlock valuable data insights? Learn how to identify and correct inaccuracies and inconsistencies in your …

Discovering Insights in Data: Cleaning Techniques and Data Normalization Rules Read More »

Are you tired of dealing with messy, inconsistent data that makes it hard to gain insights and make informed decisions? Data normalization software may be the solution you need. This software can help you standardize your data, correct inaccuracies, and add missing information, all while integrating data from multiple sources.

If you’re looking to take control of your data management practices, you may have heard of both master data management (MDM) and enterprise resource planning (ERP) as solutions. But which one is right for your business? In this article, we explore the similarities and differences between ERP and MDM and provide guidance on choosing the …

ERP vs MDM: Which Is The Right Solution For Your Business? Read More »

Data is the lifeblood of 21st-century organizations, and data governance and master data management (MDM) are two strategies used to manage data. Despite the similarity in their names, these strategies refer to very different concepts. Data governance is the overall framework for managing data, ensuring it is accurate, consistent, and compliant with organizational standards and …

The Difference Between Data Governance vs MDM Read More »

In today’s fast-paced and dynamic business world, managing employee data effectively is more critical than ever. Employee Master Data Management (MDM) can help organizations maintain a centralized, accurate view of employee data, avoiding inefficiencies, errors, and delays. In this article, we explore the benefits of implementing employee MDM, such as improved data quality, increased efficiency, …

Employee Master Data Management: Benefits and Challenges Read More »

Optimizing Your ERP’s Master Data For Better Performance is essential for any organization that wants to stay competitive in today’s fast-paced business environment. This process involves cleansing, standardizing, and enriching your master data to ensure that it is accurate and reliable. By doing so, you can improve your ERP system’s performance, save time and money …

Optimizing Your Erp’s Master Data For Better Performance Read More »

How to Optimize Location Master Data Management is a comprehensive guide to managing location data, from identifying and cleansing to enriching and maintaining data over time. Organizations face unique challenges when it comes to location data, such as inaccurate or incomplete data, and data spread across multiple systems. The article provides valuable insights on how …

How To Optimize Location Master Data Management Read More »

Managing data can be a messy and tedious task. Organizations are increasingly exploring machine learning (ML) technology to power their data quality improvement efforts. ML can help companies get more from their data by reducing manual work and enabling better decisions.

In this article, the importance of customer master data management for a successful business is discussed. The article provides ten best practices for managing customer data effectively. These include defining data needs, identifying data sources, assessing data quality, establishing data governance, implementing data quality programs, creating a single view of the customer, implementing data security …

10 Customer Master Data Management Best Practices For A Successful Business Read More »

Learn about the benefits of automating master data management (MDM) using a software solution that is tailored to your organization’s needs. The article discusses two types of MDM automation – process automation and data management automation – and how they can be used together to create a fully automated MDM system.

Learn about the advantages and challenges of implementing a master data management strategy in healthcare, including improved data quality, more efficient coordination of care, enhanced privacy and security, and cost savings.

Are you looking for an efficient way to manage your most critical data? Master Data Management implementation is the answer. With its goal of creating a single, authoritative source for all key data elements, it can help organizations make sound decisions and reduce costs.

Master Data Management (MDM) is crucial for organizations that want to ensure data accuracy and consistency across all their systems and applications. However, with so many MDM frameworks available in the market, selecting the right one for your organization’s specific needs can be overwhelming. This article will provide you with a comprehensive guide to choosing …

How To Select The Right Master Data Management Framework For Your Organization Read More »