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.
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.
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
Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
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
What is data transformation? Simply put, data standardization is the process of transforming data values from an incorrect format to a correct one.
Data accuracy is the biggest challenge many businesses encounter in their quest to cleanse data. Having accurate data is the foundation of the usefulness of data in all its stages of use.
Data profiling focuses on examining and analyzing data, followed by creating a useful summary of that data.
Businesses, whether big or small, know that understanding data is essential to making informed decisions that impact the organization’s bottom line.
The amount of customer data available to brands has absolutely exploded in the past decade, giving brands an opportunity to create personalized experiences. But with… Read More »DSC Webinar Series – Its Time to Turn Data Chaos into Order.mp4
How to fix various data issues in a few simple steps? In this first part, I discuss missing, outdated and unobserved data, data that is… Read More »15 Data Issues and How to Fix Them
