Test data management: What it is & Why it matters?
Test data management (TDM) is a critical process in the testing lifecycle. It helps businesses optimize effort spent to generate test data and run tests, leading to a faster test…
Data
27 posts
Synthetic Data Generation: Techniques, Best Practices & Tools
Synthetic data is artificial data generated with the purpose of preserving privacy, testing systems or creating training data for machine learning algorithms. Synthetic data generation is critical since it is…
Data Masking: What it is, how it works, types & best practices
Given the increasing cyber threats and implementation of data privacy legislation like the GDPR in the EU or CCPA in the US, businesses need to ensure that private data is…
Technographics in 2020: What it is, Why it matters, Use Cases
As the competition among B2B markets increases, companies need to rely on data-driven decisions more. Companies have been collecting and performing actions on demographic and firmographic data and to gain…
Data Marketplaces: What, Why, How, Types, Benefits, Vendors
Data and information are the most important assets for most businesses. While organizations can use their data to improve their businesses, their data can also have significant value beyond their…
Infonomics in 2020: What it is, Case Studies & Best practices
Though IT and business leaders regularly state information is their most valuable asset, they fail to value or manage it like one. Data can be sold to monetization or organizations…
First Party Data: What it is, Why it Matters, What it contains
Your digital marketing can be only as targeted/powerful as the data it relies on. When customers interact with a brand, they leave behind first-party data. This data can help the organization…
Data as a Service (DaaS): What, Why, How, Use cases & Tools
Data as a service solutions help companies expose their data internally or externally. These solutions help companies monetize their data or democratize access to data and support analytics efforts What…
What is Data Virtualization? Benefits, Case Studies & Top Tools
Data virtualization enables organizations to increase analytics effectiveness and reduce analytics costs by creating a virtual layer that aggregates data from multiple sources. This enables companies to access data from…
What is a Data Catalog? How to build it, Best practices & Tools
Turning big data into actionable insights is a popular business goal. Data catalogs can help organizations achieve this goal. The purpose of a data catalog is to support a business to…