Data governance is the process of managing the data’s usability, security, availability, and integrity within an organization using internally set and enforced rules and policies. Effective data governance ensures that data is…Continue
Added by Indhu on July 21, 2021 at 3:30am — No Comments
Agile Data Governance is the process of improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics. It begins with the identification of a business problem, following by the…Continue
Added by Indhu on June 13, 2021 at 5:30am — No Comments
Here are some of the things a company can do to improve the quality of the information it collects:
1. Data Governance plan
A good data governance plan should not only talk about…Continue
Added by Indhu on October 26, 2020 at 11:30pm — No Comments
Summary: Just how much should you trust your AI systems? Best practice points to constant review, strong governance, and the willingness to override results that seem illogical.
Added by William Vorhies on January 20, 2020 at 8:26am — No Comments
Summary: A major pain point is standing in the way of many companies’ ability to maximize the value of their ML/AI initiatives. The competing goals of data flexibility versus single version of the truth can only be solved with an effective data governance strategy.
Added by William Vorhies on February 11, 2019 at 10:15am — No Comments
The Forrester report “Predictions 2018: A year of reckoning” predicted that 80% of firms affected by the GDPR will not be able to comply with the regulation by the time it comes into force on May 25. Of those noncompliant firms, 50% will intentionally not comply.…Continue
Added by Amy Flippant on July 3, 2018 at 12:30am — No Comments
In this article I explore some of the key concepts of data quality management and how to build a strategy for continuous improvement. I won’t be covering every possible scenario, process, method or problem; only those that are common across most industries and those that have proved useful on my own personal journey.
Hopefully, we already agree that good data quality is an essential part of business intelligence and a foundation on which you build your systems, processes and…Continue
Added by Richard Cook on February 21, 2018 at 5:00am — No Comments
Summary: As your data lake grows larger and your user group more diverse you will need these tools that automatically catalog data and control access to your information. They are a huge benefit and only enhance the spirit of free exploration of data for new value.
Added by William Vorhies on September 26, 2017 at 9:32am — No Comments
A common scenario that data analysts in general encounter is what I like to describe as "data denialism". Often, and especially while consulting, an analyst will find that the data tells a different story than what the customer holds to be true. It is also often the case that, when presenting this finding, the customer will outright deny the evidence, asserting that either the data or the analysis must be wrong. For example, it may be that a retailer focused on the…Continue
Added by Jesus Ramos on August 16, 2017 at 8:00am — No Comments
If a picture is worth thousand words, then what about a neat data visualization? Displaying information in graphics to generate better insights is not a new phenomenon, but, with the advent of technology and increased access to data, it has become far more prominent. Once restricted to analysis of economics, finance, and science, data visualization has emerged as an industry of its own.
There are now multiple tools to visualize…Continue
Added by Surendran B on August 16, 2016 at 12:30am — No Comments