Data observability is the practice of monitoring and analyzing the health of an organization’s data and data systems. Essentially, it gives you a 360o overview of what’s happening with your data at any given point in time. This practice is beneficial, as it provides all stakeholders with an in-depth insight into how their data is collected, […]
How to Become a Data Steward
An essential role in any data-driven organization, a data steward is expected to manage and protect valuable data resources while ensuring that the integrity of the data remains intact. A steward must ensure that the data is useful to the company and meets its business objectives. Data stewards are also responsible for monitoring the data […]
What Is Synthetic Data?
Synthetic data refers to any dataset that is generated artificially. Most datasets are generated based on research, use cases, or other activity. In the case of synthetically generated data, datasets are instead developed in a way that replicates real datasets, so that they can act as supporting information during model training or testing processes. Gartner predicts […]
How to Become a Data Engineer
In 2020, an estimated 64.2 zettabytes of data were generated globally, and by 2025, that number is expected to rise to 180 zettabytes. Considering these figures, it’s no surprise that data professionals are in high demand. Those who know how to create the Data Architecture to manage this data are the most in demand – […]
What Are Data Governance Metrics?
Data Governance involves organizing, managing, and monitoring the integrity and security of data in an enterprise’s system. It requires businesses to establish policies and frameworks to facilitate these processes, ensuring that any new or existing data complies with current internal and external regulatory standards such as GDPR. Data Governance metrics help measure the efficacy and impact of a […]
What Are Machine Learning Algorithms?
A subfield of artificial intelligence, machine learning (ML) uses specific algorithms to analyze datasets and predict outcomes. These algorithms are known as machine learning algorithms. Initially, AI made use of rule-based algorithms – strict systems that used information that was already hard-coded into the system. It wasn’t a flexible approach and could not learn and adapt to new information […]
What Is Data Leadership?
Data leadership refers to individuals implementing improved processes for coordinating and managing data within an enterprise. Although data-driven decisions are on the rise, business leaders still struggle to make accurate decisions because of issues such as data silos, poor data quality, and lack of data trust. More companies are focusing on hiring team members with extensive […]
What Is a Certified Data Management Professional (CDMP)?
Launched by DAMA International in 2004, the Certified Data Management Professional (CDMP) exam and designation has become one of the world’s most recognized certification programs for Data Management professionals. Anyone who passes the exam remains certified for a period of three years. When important changes occur within the industry, the exam gets updated to reflect the new skills and […]
What Is the Data Management Body of Knowledge (DMBoK)?
The DAMA Guide to the Data Management Body of Knowledge (DMBoK) serves as a testament to the ever-evolving nature of the data world. The second edition of the book, released by DAMA International in 2017, features updated contributions from more than 120 data professionals and highlights 11 core Data Management “knowledge areas.” As a whole, the 600-page tome […]
What Is a Digital Transformation Strategy?
A digital transformation strategy is a detailed plan to improve and innovate existing business processes using digital technologies. An organization that can refine its operations and leverage automation can better support customers and allow employees to focus on activities requiring a more hands-on approach. Adopting digital technologies must be done in a way aligned with an organization’s […]