What is Data Health?

Data health is a measure of the quality of your data. You know that your organization’s data is healthy if you can prove that it’s valid, complete, and of sufficient quality to produce analytics you can feel comfortable basing business decisions.

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Data governance framework — guide and examples

A well-planned data governance framework covers strategic, tactical, and operational roles and responsibilities. It ensures data is trusted, well-documented, and easy to find within an organization, and that it’s kept secure, compliant, and confidential.

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What is data trust?

Every organization today is awash with data. Estimates put the amount of data the world creates annually in the zettabytes. That adds up to a big challenge for anyone tasked with making sure that all of their organization’s data is trustworthy. But what does it mean to trust your data?

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What is product intelligence? Your guide to a product intelligence platform

What product attributes make an offering more attractive to potential customers, and which features will make them stick around? What user-level insights can enable your marketing team to deploy more targeted customer campaigns? Which potential new product features should be prioritized to drive the most revenue? Product intelligence is the key to answering these and many other business-critical questions.
 

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What is a Data Warehouse and Why Does It Matter To Your Business?

A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.

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Cloud Integration 101

Cloud integration lets businesses connect data hosted on local servers to cloud-native data stores and applications. Cloud integration also provides a path to data analytics platforms, CRM systems, and other applications hosted by third-party providers. These include data warehouses such as Google BigQuery, Snowflake, Salesforce, AWS, and Microsoft Azure. 

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Data Lake vs Data Warehouse

Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.

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What is a Data Mart?

A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.

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What is Data Preparation?

Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is a time consuming process, but the business intelligence benefits demand it. And today, savvy self-service data preparation tools are making it easier and more efficient than ever.

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What is Data Processing?

Data processing converts data in its raw form to a more readable format, to be interpreted by computers and utilized by employees throughout an organization.

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