The ABCs of data management
Introduction Have you ever had to rummage through your garage for that one tool, only to unearth it, oddly, in the kitchen drawer months later?… Read More »The ABCs of data management
Home » Business Topics » Data Lifecycle Management
Data Lifecycle Management
Data Lifecycle Management focuses on data governance, data cleansing and quality, and data stewardship. The rubric applies to articles that focus primarily on the high-level preparation, flow, and use of data through an organization, rather than with one single facet such as storage or analysis.
New Podcast: The FAIR Data Forecast
In mid-March 2023, I’ll be launching an interview podcast that will cover the most promising growth areas in FAIR data. TechTarget, parent company of Data… Read More »New Podcast: The FAIR Data Forecast
Cloud Computing Services, Features and Benefits
Cloud computing services have grown in popularity significantly over the years. Many sectors are moving to cloud computing services for business operations. Cloud computing enables businesses to store, manage, and process essential data using remote servers hosted on the internet.
Want Greater Business Efficiency? Map Your Smart Data Transformation Journey
Companies need to collect huge volumes of data produced to extract valuable insights via data analysis to survive, let alone thrive in the competitive marketplace. It is the lifeblood of most business decisions, functions, and processes. But the process of data collection can be highly challenging for many organizations.
What is trustable data? Why do you need it?
Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.
Best practices to maintain high data quality
With the world’s data multiplying in leaps and bounds, every organization is trying to make better business decisions in marketing, product development, and finance using insights from the data they hold. The value of businesses today can be measured by the quality of the data they hold.
How to Automate Data Cleaning, in a Nutshell
Data scientists spend 80% of their time on data cleaning and exploratory analysis. What if you could automate most of this? What if data scientists… Read More »How to Automate Data Cleaning, in a Nutshell
10 steps to data profiling for successful data discovery: Part II
Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
The art of removing duplicates from your organizational data
One of the biggest challenges that businesses face with their datasets is duplication. Teams encounter thousands of rows in the customer dataset, knowing that their… Read More »The art of removing duplicates from your organizational data
Data Standardization: Define, Test, and Transform
What is data transformation? Simply put, data standardization is the process of transforming data values from an incorrect format to a correct one.