October 10, 2024
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Education Resources For Use & Management of Data

Self-Service Analytics: Pros and Cons

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Self-service analytics empowers the non-technical users in an organization. Traditionally, data analysis was the domain of specialized data scientists or IT professionals with skills to manipulate and interpret complex datasets. In self-service analytics, user-friendly tools enable ordinary business users to conduct data analyses without expert knowledge or support.   These tools typically feature user-friendly interfaces, drag-and-drop functionalities, and pre-built templates…

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Fundamentals of Data Preparation

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Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying to make a car out of unrefined iron ore. A lot of processing happens between the mine and the factory. Data is no different. In its “raw” form,…

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AAA Webinar: Intelligent Automation with AI

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Download the slides here>> About the Webinar In this webinar, we discuss the best practices for automating repetitive tasks with AI and automation platforms. We will learn how to design and integrate AI and automation components, how to optimize and monitor their efficiency and effectiveness, and how to handle exceptions and errors. About the Speaker…

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Data Product vs. Data as a Product (DaaP): Understanding the Difference

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Data quality (DQ), which ensures that data is fit for business and consumer needs, remains a significant challenge and is growing more complex. According to a dbt Labs 2024 report, 57% of survey respondents identified data quality as a challenging aspect to data preparation, up from 41% in 2022.  To address these data quality challenges, companies increasingly…

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ADV Webinar: AI Language Models for Enterprises

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Download the slides here>> About the Webinar An AI language model is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can include books, articles, code, and other types of text. Once trained, the AI language model can be used to generate text, translate languages, write…

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EEDL Webinar: Analytic Translators – How Do They Fit in the Literacy Discussion?

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Download the slides here>> About the Webinar There will be times when, despite efforts to increase literacy overall, there is a communication gap between those creating analytic output and those consuming it. Analytic translators are professionals who understand both analytic and business concepts and are trained in communication techniques that promote alignment. In this session,…

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AAA Webinar: AI and Data Management

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Download the slides here>> About the Webinar In this webinar, we will dive deep into the unique challenges of managing the quality, security, and transparency of AI applications. We will also discuss how to use the power of AI to up-level your current data management practices. About the Speaker Nick White CEO and Founder, Data…

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RWDG Webinar: The Data Scientist’s Role in Governance Success 

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Download the slides here>> About the Webinar Are you interested in exploring the critical intersection of Data Science and Data Governance? Are you struggling with how to describe the role of a data scientist specifically when it comes to their participation in your Data Governance program? This webinar will have the answers you are seeking. …

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ADV Webinar: Promising AI Use Cases for the Enterprise in 2024

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Download the slides here>> About the Webinar Enterprises make use of AI to gain actionable analytics and intelligence from a universe of data sets. Harnessing artificial intelligence for the enterprise is a critical competitive advantage. Algorithms are becoming embedded in the fabric of the enterprise as well as all major software in use. Early adopters will…

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Foundations of Forensic Data Analysis

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Forensic data analysis involves collecting, modeling, and transforming data to identify and highlight potential risk areas, detect non-standard or fraudulent activities that use data, and set up internal controls and processes to minimize a variety of risks. Data forensics can also be used in instances involving the tracking of phone calls, texts, or emails traveling…

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