Tamr Insights

Discover how financial firms leverage external data for success. Learn about challenges, trends, and strategies for maximizing ROI and operational efficiency.

In the ever-evolving landscape of data management, organizations face increasing challenges in making sense of their vast and disparate data sources. To address these challenges and provide a comprehensive guide to achieving unified, accurate data views, Tamr is proud to introduce our new ebook, "The Data Integration...

Revolutionize customer experiences with an AI-powered approach to customer data masterin

AI-powered, human-refined golden records outperform traditional master data management (MDM), offering superior accuracy, speed, and insights.

Understanding the nuances between customer data platforms and data management platform is crucial for customer 360

Customer-related data, perhaps even more so than other data, faces an uphill battle in the “clean data wars.” It resides in many silos (e.g., ERP applications, Salesforce.com, CRM systems). There’s the natural “drift” and disconnect that happens when so many different people are creating, adding to, and updating customer data as part of their daily jobs. There’s value in comparing and enriching your customer data with external data (for example, a licensed, “gold-tier” file of vetted data on global companies), bringing more data into the mix.

Ditch data silos, embrace data products! Build a winning strategy for clean, accessible data that fuels your business.

Learn the 5 pillars of a modern data strategy and unlock meaningful business outcomes. Build your roadmap to data-driven success.

Experts predict data quality will reign supreme in 2024 GenAI era, marking the decline of MDM and the ascent of data products. Get the insights!

In recent years, financial services firms have faced increased scrutiny as they worked to protect their data and comply with new regulations. And while some firms are successfully navigating the complexities of these regulations, others are struggling to keep up.…

Discover the 7 data quality metrics you should measure to ensure your data is accurate, complete, and consistent for decision-making.

Large enterprises spend vast resources building data analytics and operationalizing supplier data. But analytics are only valuable if data is trustworthy.

Discover the pivotal role of Data Product Owners in driving successful data product development and steering strategic business outcomes.

Popular data-related buzzwords and their impact on businesses, emphasizing data mesh, data products, machine learning, large language models, and data quality.

Data is growing. And it’s growing fast. In fact, some say we will generate three times more data volume in 2023 than we did just four years ago.  But as the volume of data increases, many organizations are discovering that…

Companies today have tons of valuable data. And much of that data is data collected by the company through interactions with their audience. This is first-party data. But there is also data collected by external entities that is equally as…

If you had to wager a guess, how many systems and software applications does your organization use? A lot, right? According to a recent survey by Forrester and Airtable, the answer is, on average, 367.  That’s a lot of apps…

Master Data Management (MDM) is the process of creating a unified master record for a business or person across an entire enterprise. It involves deduplication, entity resolution, reconciliation, and enrichment. However, mastering data can be a complex and daunting process,…

Data governance isn’t new. But it is certainly getting its time in the spotlight. And as more Chief Data Officers (CDOs) look to treat data as a product, its spotlight is only going to become brighter.  But data governance is…

Data engineers are in high demand. But there is a shortage of them, making it difficult for organizations to hire top talent to fill this vital role. But what, exactly, is a data engineer? And how do you pursue a…

For many companies, data lakes are a core part of their DataOps ecosystem. After years of experiencing the unfulfilled promises of data warehouses, data lakes promised to deliver a central repository where data consumers could access enterprise data, both structured…