As businesses adopt generative AI, a technology that creates new content and finds patterns, what will Data Science, the processes and activity geared to getting insights from big data, look like? How will this kind of analytical work change? Will there be an increased or decreased need for data scientists? How should businesses adapt their information […]
Data Governance Metrics: How to Measure Success
The use of Data Governance metrics as a measurement system promotes the efficient use and management of data. Establishing key performance indicators (KPIs) is normally the first step in monitoring and measuring the effectiveness of a Data Governance program. These indicators allow organizations to assess and adjust their Data Governance strategies. A measurement system allows […]
Automated Data Management Tools
“Why?” a chief technology officer (CTO) may ask when the subject of automated Data Management tools arises. After all, their organization has probably already been storing, archiving, and backing up enterprise data day after day with success. For example, setting up a Database-as-a-Service (DBaaS) from a reputable cloud computing provider, with appropriate access to data, […]
Why Is a Data-Driven Culture Important?
Many modern organizations are recognizing how important it is to develop a data-driven culture. A data-driven culture typically describes a workplace environment and involves making information readily available to staff. The general idea in promoting a data-driven workplace culture is to increase profits by developing a business that functions in a streamlined, efficient, and friendly […]
The Importance of Women in Data Management
Despite the increasing participation of women in Data Management (DM) roles, women still confront gender-related challenges throughout their careers. One significant challenge is the persistent gender bias prevalent within the industry. According to the study USA Diversity in Data Report 2022-2023, only 26% of DM and analytics positions are held by women. Women often face stereotypes […]
Master Data vs. Reference Data
The terms “master data” and “reference data” can be confused fairly easily. Both provide data that changes only occasionally over time and provide data that is designed to be accurate and up to date. Master data provides the accurate information needed for business transactions that are critical to the running of a business – the […]
Types of Data Integrity
Over time, different types of data integrity systems and methods for promoting data integrity have been developed. Data integrity emphasizes confirming the data remains unchanged and consistent over the data’s entire lifecycle. In essence, the data remains pure and uncorrupted. Security plays an important role in ensuring the data is not altered and maintains its […]
Women in Data: Meet Dr. Christina Sandema-Sombe
The latest installment in our Q&A series with women leaders in data features Dr. Christina Sandema-Sombe, chief data steward of Nike, Inc. (Read our previous Q&A here.) Dr. Christina Sandema-Sombe first learned the joys – and challenges – of working with data as the global impact measurement lead at a humanitarian aid organization. Over a decade […]
Data Stewardship Best Practices
As we continue to do business in a digitally connected world, more data-driven organizations are prioritizing data stewardship and following best practices to improve data quality and management. Data stewards maintain and protect data assets that need special care, not just for cybersecurity but for better business insights and more informed decision-making. In his presentation at a […]
Dashboard Tools for Data Analytics
In the world of data analytics, dashboard tools are pivotal instruments, distilling vast quantities of complex data into comprehensible, actionable insights. These tools are not mere luxuries but necessities for organizations aiming to navigate the data-rich environment of today’s digital businesses. By leveraging dashboard tools, businesses can transform raw data into a visually engaging and […]