Matt Holzapfel

AI transforms data management by accelerating the pace at which organizations can discover, enrich, and maintain trustworthy golden records.

Data unification is the process of ingesting data from various operational systems and combining them into a single source by performing transformations, schema integrations, deduplications, and general cleaning of all the records.

We’ve all heard the statistics: data practitioners, from analysts to data scientists, spend anywhere between 50% to 80% of their time cleaning and prepping data. And as a former practitioner, I’ve experienced the frustration of spending the bulk of my…

Growing – and thriving – in a complex business environment is challenging. Organizations need to drive revenue and manage cash flow, mitigate risks, and undertake sustainability initiatives. More than ever before, every business needs a comprehensive data management solution to…

Data deduplication refers to the deletion and removal of redundant or duplicate data.

Google researchers document the very real problem of what can happen when data for AI models is ill-prepared or guided, along with the lack of a viable, real-world process for generating good data for AI.

Companies that establish analytic quality assurance processes are far more likely to drive analytic adoption & business outcomes.

We found that you don’t need to reinvent the wheel to manage Tableau extensions. Here are some tips to help you get started.

We've created a list of our favorite Tablea extensions, including SuperTables, Performance Insights, and Alert IQ.

Tableau extensions, which integrate your dashboard with outside applications, open new doors to increase Tableau data quality and build better dashboards.

We review the key features of Master Data Management solutions, compared with Extract, Transform, and Load (ETL) solutions, and discuss the benefits of Tamr cloud-native data mastering compared to ETL and MDM

As a data steward, you are ultimately responsible for ensuring that data is well-managed and well-understood. Here's how machine learning helps.

Enterprise data professionals often ask: “Why do I need machine learning when I have a rules-based system for data mastering?

Tamr is excited to introduce Golden Records as a core feature within our platform, Unify, to help enterprises get even more value out of unified data.

At Tamr, we built Steward to eliminate the friction between data consumers and their counterparts responsible for sourcing and preparing data.

Through customer successes, Tamr developed a turnkey process for unifying procurement data assets. Learn about our offering, Supplier Mastering as a Service

Why are organic foods given their own aisles of the grocery store? Unlike other sections, “organic food” isn’t very descriptive; the classification can apply to anything from a banana to baby food. But customers have shown with their wallets that…

A new monitoring approach is needed that allows managers to focus on top suppliers, but alerts them on major developments occur within smaller suppliers.

How improving spend under management by automating spend analytics can mean a potential 1-2% of additional savings annually.