A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Types of Analytics Used in Organizations
Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises. […]
Trends in Data Architecture
What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the COVID-19 pandemic? Industry thought leader Donna Burbank, the Managing Director of Global Data Strategy, discussed these issues in her presentation Trends in Data Architecture at DATAVERSITY®’s Data Architecture Online conference last July. Burbank shared insights from a 2020 […]
Data Quality Management 101
Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and energy required to deal with inaccurate data by manually reprocessing it. Low-quality data can hide problems in operations and make regulatory compliance a challenge. Good Data Quality Management is essential for […]
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 – […]
Data Leadership: The Key to Data Value
Data and business have become inseparable, so if your business isn’t using data effectively, you’re in trouble. Yet using it effectively can be a struggle. Not knowing how to find the right data, not trusting the available data, and not having confidence in the tools and people providing that data can lead people to conclude […]
How to Become a DataOps Engineer
DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]
Digital Transformation Best Practices
The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers. In a digitized business model, the “customer journey” is the central focus. While creating the DT framework, the business operators develop business models that are […]
Data Quality Metrics: How to Measure Success
Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]
Data Management 101
Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]