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7 Common Data Quality Problems

Having Data Quality problems is a common – and costly – issue. According to Gartner, poor-quality data costs organizations an average of $12.9 million annually. Data Quality uses factors such as accuracy, consistency, and completeness in determining the value of the data. High-quality data can be trusted, while low-quality data is inaccurate, inconsistent, or incomplete. In […]

How to Democratize Data Science

Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]

Data Ethics: New Frontiers in Data Governance

Would you feel comfortable serving as a Data Governance consultant for an organized crime family … but not for a brokerage with tax fraud in its past? Could the use of ransomware be considered socially acceptable if its demands benefitted needy children? These hypotheticals might sound outrageous – and indeed, they are meant to be provocative – […]

Data Management Careers: An Overview

As more organizations become data-driven, the demand for capable data professionals to support and advance their initiatives has never been greater. Employment in computer and IT occupations is expected to grow 15% from 2021 to 2031 – significantly faster than the average for all occupations. What’s more, data-centric roles rank among the best jobs for earning potential, job […]

Data Stewardship Best Practices

As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship to improve data quality and management. Data stewards maintain and protect data assets that need special care, not just for cybersecurity but for better business insights and more informed decision-making. In his presentation at the Data Governance & Information Quality […]

How to Become a Data Security Analyst

A data security analyst, also known as an information security analyst, is responsible for monitoring and analyzing network activity to identify potential threats or risks. Data security analysts primarily analyze data, conduct research, and use complex analytical tools to address problems related to confidentiality, availability, and integrity of data in an organization. Data security analysts […]

What Makes Data Intelligence Intelligent?

Every day, trillions of data points are generated, and, in theory, organizations can harness this data to make better, more informed decisions. But it’s precisely the vast scale of available data that makes it so hard to manage. According to IDC, data professionals spend 80% of their time searching for and preparing data and only 20% […]

Key Trends in Data and Analytics

In today’s world of unprecedented connectivity and advances in technology, the benefits of big data are accessible to even modestly scaled businesses. Indeed, business leaders who resist the shift to digital transformation do so at their own risk. But harnessing the power of data and analytics requires careful planning, preparation, and commitment. Where to begin? […]

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