Synthetic Data: An Introduction & 10 Tools [07/2018 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 2018: 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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How to Choose the Right Data Quality Tool [06/2018 UPDATE]

Data cleaning is part of a greater effort to achieve the highest data quality possible in used in business decisions and operations. It requires organizational effort and participation throughout a business and when done correctly, can help to provide valuable insights and analytics for decision making. A few additional benefits associated with data cleaning include:

  • Streamlined business practices
  • Increased productivity
  • Faster sales cycle
  • Better analytics

Given the ever growing quantity of data for many businesses, automation is required in data cleaning. The right data tool can fill in these gaps and manage a number of issues automatically before they have a chance to become truly problematic. This can ultimately help businesses to become more efficient and more profitable in their efforts.

Choosing the right data cleaning tool for your organization is essential to getting the most utility for your investment. To help in your decision making, this post answers the following:

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Top 10 Knowledge Management Tools [06/18 update]

Knowledge management is the process where value is derived from knowledge by making it accessible to everyone within an organization. It is a multidisciplinary approach that aims to achieve objectives through the best possible use of knowledge. To learn more about knowledge management, see our recent blog post on the topic.

Key benefits associated with knowledge management include:

  • Improved performance and innovation
  • Communication of ‘lessons learned’
  • Integration and continuous improvement

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