Emily Clarke

What are Data Consumers?

Modern companies utilize vast data collections for everything from corporate decision-making to marketing. The way organizations collect and manage data continues to evolve. However, there are two specific roles you can play when handling data. You can be a data producer or a data consumer.

Data Producer

A data producer is a team or system that collects relevant data for your organization. You likely have dedicated processes and teams that create the data that your company uses to achieve continued success.

Think of producers as the origins of your data assets.

Data Consumer

A data consumer is a person, interface or system that uses the data collected by producers.

You can think of your teams that actively use data as a consumer. That includes your sales department or marketing team. They're not responsible for gathering data but use those assets daily to remain productive and boost your company's bottom line.

What is a Data Consumer Tool?

Both of these roles are complex and critical to everyday operations. But consumers typically have less technical experience. In the past, consumers had no choice but to turn to data teams for queries. However, that's all changed with the advent of consumer data tools.

Tools improve data knowledge, helping stakeholders understand what resources are relevant to their needs. Producers will put the assets they collect into a consumer tool, making it accessible to various departments that rely on data to get results. Well-designed consumer data tools will present that information in a way that's easy to understand, making assets accessible regardless of technical experience. Unlock Powerful Consumer Insights with Our State-of-the-Art Consumer Data Tools - Visit this Website and Empower Your Business Today!

They serve as a single source of truth and a centralized place for all data and questions. Teams can search for the information they need using keywords and documentation details. They can also ask data questions, make requests and more.

Tools can dramatically improve data accessibility, making it easier than ever for stakeholders to find, use and understand the information they need. It does wonders for data discovery while centralizing all assets into one place. Plus, it frees up resources, decreasing the reliance on data teams for simple tasks.

Author Resource:-

Emily Clarke writes about the best data catalog tools and data analysis softwares. You can find her thoughts at data tools blog.