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Tamr Insights
AI-native MDM
December 2, 2023
Mitigating FinServ Risk with Customer Mastering and 3rd-party Data Enrichment
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.…
November 28, 2023
7 Data Quality Metrics You Should Measure (but Don’t)
Discover the 7 data quality metrics you should measure to ensure your data is accurate, complete, and consistent for decision-making.
November 16, 2023
Supplier Analytics: How Master Data Builds Trust
Large enterprises spend vast resources building data analytics and operationalizing supplier data. But analytics are only valuable if data is trustworthy.
October 27, 2023
5 Data Cleaning Techniques
Enhance data quality with 5 techniques: format standardization, filling missing values, deduplication, error correction, and outlier handling using data products.
October 12, 2023
Data Product Owners: A Must-Have For Your Data Organization
Discover the pivotal role of Data Product Owners in driving successful data product development and steering strategic business outcomes.
August 4, 2023
Know-Your-Customer Programs and How AI Helps
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.
July 27, 2023
6 Data Science Buzzwords & What They Mean
Popular data-related buzzwords and their impact on businesses, emphasizing data mesh, data products, machine learning, large language models, and data quality.
June 29, 2023
Your Guide to Data Quality Analysis
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…
June 23, 2023
First-Party vs. Third-Party Data
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…
June 1, 2023
The Problems with Data Silos (and How to Fix Them)
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…
May 11, 2023
Master Your Data with Tamr & Gigasheet
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,…
May 9, 2023
The Components of Data Governance
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…
April 27, 2023
The Data Engineer Career Guide
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…
April 19, 2023
Data Lake Implementation and Management
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…
April 13, 2023
Centralized vs Decentralized Data Management
Organizations have debated centralized vs. decentralized data for decades. As data warehouses and data lakes grew in popularity, centralized systems became the norm. But with data mesh emerging as a new and effective way to manage data, decentralized systems are…
April 5, 2023
What Does a Chief Data Officer Do?
More than 70% of organizations today employ a Chief Data Officer (CDO), up from a mere 12% just a decade ago, according to research conducted by New Vantage Partners. But as the role of the CDO continues to grow in…
March 29, 2023
Investing in Data Products During Economic Uncertainty
Investing in Your Data Products to Survive Economic Uncertainty Even with unemployment at record lows and continued job growth, stubborn inflation and rising interest rates have been causing big mood swings across all sectors of the economy. Inflation has received…
March 22, 2023
Getting Started with Data Products
Are you looking to get more value out of your organization’s data? Chances are, your answer is a resounding “yes!” But if you are like many data leaders we talk to, you may not know how to generate more value…
March 15, 2023
How Data Products Drive Better Investment Decisions
For investment firms, knowing which companies to invest in is key to their success. But identifying good investment opportunities, and keeping investment data up-to-date, is a challenge. It’s common practice for firms to employ teams of people to manually integrate…
March 8, 2023
B2B Customer Mastering: The Secret to (Finally!) Achieving Superior Customer Experience
Every B2B company knows that their customers are a valuable asset. And data about these customers is equally as valuable. But when that data is incorrect, incomplete, or outdated, it becomes difficult to derive value from it. Too often, customer…
March 2, 2023
Why B2C Customer Mastering Matters to Your Business
Customers today demand personalized experiences more than ever before. In order to deliver the kinds of experiences customers expect, you need access to clean, curated, continuously- updated data about them. In many cases, however, this customer data is incomplete or…
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