Data Catalog: The first step to metadata management in 2020

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 find, understand and maintain its existing data assets. The process of creating a data catalog can lead businesses to identify data assets that they were previously unaware of.

What is a data catalog?

A data catalog is a record of an organization’s existing data. It is a library where an organizations’ data is indexed, organized and stored. Most data catalogs contain data sources, data usage information, and data lineage that describes the origin of the data and how it changed to its final form. With a data catalog, organizations can centralize information so that they can identify what data they have, distinguish data based on its quality and source.  Read more

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Enterprise Search 2020: In-Depth Guide

Enterprise search is a valuable tool for businesses since it allows employees to perform instant searches within the company’s knowledge base. This decreases the amount of time it takes for an employee to find the necessary information, leaving more time for higher value-added tasks.

We answered all your enterprise search-related questions:

What is an enterprise search?

Enterprise search is a way of search that helps employees find the data from one or multiple databases in a single search query. The searched data can be, in any format, from anywhere inside the company -in databases, document management systems, e-mail servers, on paper and so on. Read more

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Data Extraction in 2020: In-depth guide for business users

The dramatic increase in the volume of unstructured and semi structured data has made data extraction vital. This is because structured data can be processed and analyzed more accurately than other types of data since it is machine-readable.

Automated data extraction software helps companies to automatically pull data from various sources. Automated data extraction enables businesses to save time & costs, reduce manual errors, improve their decision-making processes and save employees from mind-numbing repetitive work. Read more

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Synthetic Data: An Introduction & 10 Tools [2020 Update]

Synthetic data, as the name suggests, is data that is artificially created rather than being generated by actual events. It is often created with the help of algorithms and is used for a wide range of activities, including as test data for new products and tools, for model validation, and in AI needs.

The questions that this post sets out to answer include:

Why is synthetic data important and what are some use cases for it?

How does synthetic data perform compared to real data?

What are some benefits associated with synthetic data?

What are some basics of synthetic data creation?

What are some challenges associated with synthetic data?

What are some tools related to synthetic data?

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Data Governance in 2020: A Comprehensive Guide

Businesses around the world are striving every day to become more data-driven, and as such, how they collect and manage this data is evolving. One important topic that has arisen out of this shift is data governance. In this post, we set out to answer the following questions:

What is data governance?

Why is it important?

What are the benefits of effective data governance?

What are some key tasks associated with a data governance strategy?

What are some best practices for data governance?

What are the related challenges and pitfalls?

What are some common data governance tools?

What does it all have to do with the recent GDPR?

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