Download the slides here>> This webinar is sponsored by: About the Webinar Organizations require a comprehensive enterprise data cloud platform to modernize applications and utilize machine learning. This research-based session will discuss the components of modern enterprise data stacks, such as dedicated compute, storage, data integration, and streaming, and focus on total cost of ownership. […]
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-Ed Webinar: Reference vs. Master Data Management
Download the slides here >> This webinar is sponsored by: and About the Webinar Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and master data management (MDM) has been a popular Data Management approach to effectively gain mastery over not just the data but the supporting […]
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 […]
What Is Data Reliability and Why Do You Need It?
“Can I trust this data?” In the dawning age of artificial intelligence (AI), this question becomes increasingly critical for individuals and organizations. Data reliability is the cornerstone of an organization’s data-driven decision-making. A recent survey from Precisely identified data-driven decision-making as the primary goal of 77% of data initiatives, yet only 46% of organizations have high or very […]
EEDL Webinar: The Missing Element of Literacy — Communication
Download the slides here>> About the Webinar When we learn a new language, the purpose is to be able to communicate with people who speak in ways that are different from us. But it takes both people to learn from each other. Very few data literacy courses focus directly on how people communicate with each […]
Case Study: Establishing a Data-Literate Culture
Imagine a rapidly expanding small business with a 20% yearly growth tasked with establishing and maintaining a data-literate culture. Then, add a new Data Architecture upgrade with considerable changes to the business logic to this situation, causing a full-on panic. This journey, marked by confusion over data definitions and anxiety over system changes, describes the situation that Brooke Gajownik, director of […]
Fundamentals of Data Classification
The process of data classification can be broadly described as the organization of data into relevant categories, allowing it to be accessed and protected more efficiently. In the simplest terms, the data classification process ranks data based on its security needs and makes it easier to locate and retrieve data. Classification is especially useful to […]
Creating a Data Monetization Strategy
A data monetization strategy is an executable plan for extracting “value” from data and converting it into revenue-generating opportunities. It involves analyzing and leveraging data to uncover insights that can be used to drive business growth, enhance customer experiences, and create new revenue streams. Organizations collect large volumes of raw data from various sources such […]