Articles
Your Next Data Skill is Stakeholder Empathy
The role of data people is often to interpret and communicate information. This can mean taking raw data and cleaning it, or using data to…
Data Modeling for Quality
In this article, I describe a method of modelling data so that it meets business requirements. Central to this method is that modelling not…
Ownership of Vocabulary vs. Ownership of Data
Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? Should they be? I have listened…
Perception Manipulation in Infographics
The purpose of data visualization is to facilitate the perception of information arrays and to identify patterns that are difficult to…
Columns
Data’s Gender Gap: Keeping Ourselves in Check
What is the work of data management and analysis for if we don’t properly gather, utilize, and listen to the information we say we’re…
Data is Risky Business: Return to Sender
A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as…
Through the Looking Glass: Caught in the Web of Data
“There is another undefined frontier, that of time. A living language is in a continuous state of change, of ‘slow but incessant…
The Data-Centric Revolution: Avoiding the Hype Cycle
Gartner has put “Knowledge Graphs” at the peak of inflated expectations. If you are a Knowledge Graph software vendor, this might be good…
Blogs
Popular Myths About AI
Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts…
Differences Between Data Management and Data Governance
A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters.…
Manufacturing Analytics Will Transform the Industry
In recent years, the consumer demand has changed significantly and for which the manufacturers are buckling up. Manufacturing analytics has…
Big Data Modeling Improves Business Intelligence
Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business…
Features
Differences Between Data Lake and Data Warehouses
Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a…
Data Quality Problems Everywhere You Look
Data is everywhere! But can you find the data you need? Can you trust it when you get it? What can be done to ensure the quality of…
How Data Cleansing Helps Predictive Modeling Efforts
If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware…
Artificial Technology Innovations in Healthcare
Artificial Technology has left groundbreaking improvements in several industries, and the health industry is no exception. In conjunction…
What Does Cloud Forensics Mean for Privacy?
The development of the cloud has opened thousands of doors to increasing the speed and efficiency of data management and connectivity.…
Can We Reduce the Risks of Artificial Intelligence?
Artificial intelligence (AI) is already in place with applications in areas such as medicine, automobile, education, communication…
Common Quality Assurance (QA) Problems
According to research work done by the National Institute of Standards and Technology, the US economy loses from $22.5 billion to $59.5…
Why Data Quality Matters
“Quality is never an accident. It is always the result of intelligent effort.” John Ruskin, prominent Victorian era…
Is Data an Asset in Real Estate?
How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property, their…