There was a time when only elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in data science, data engineering, statistics, operations research, and other allied fields and did not speak the language of the ordinary business staff. As a result, there […]
ADV Webinar: Remembering Data Quality When the Data Spigot Is Turned Way Up
Download the slides here>> This webinar is sponsored by: About the Webinar Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially ignore the […]
Women in Data: Meet KNIME Head of Data Science Evangelism Rosaria Silipo
The latest installment in our Q&A series with women leaders in data features Rosaria Silipo, head of data science evangelism at KNIME. (Read our previous Q&A here.) Rosaria Silipo, Ph.D., has worked in data analytics and data science for the past 30-plus years. Currently the head of data science evangelism at KNIME (as well as a longtime DATAVERSITY […]
Harnessing Data: From Resource to Asset to Product
Companies that are data-driven demonstrate improved business performance. McKinsey says that data and analytics can provide EBITDA (earnings before interest, taxes, depreciation, and amortization) increases of up to 25% [1]. According to MIT, digitally mature firms are 26% more profitable than their peers [2]. Forrester research found that organizations using data are three times more […]
Self-Service Analytics: Pros and Cons
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 […]
Fundamentals of Data Preparation
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, […]
Mind the Gap: Ask for Business Actions, Not Business Value
I’m not sure I know anyone in the data and analytics field whose platform doesn’t face budget scrutiny. Analytics is expensive. And when cost-cutting is the order of the day, analytics is a big target. Up shields. Time for another business value inventory. I’ve spoken with consultants who have completed analytics business value inventories at […]
AAA Webinar: Intelligent Automation with AI
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 […]
The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation
From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social […]
From Instincts to Data-Driven Success: The AI-Powered Path to Product-Led Growth
Have you noticed the way that businesses grow is changing? We are moving away from standard sales-driven models to more innovative product-led tactics. And what is fueling this shift? You guessed it: AI and predictive analytics. These tools are not just fancy jargon; they are transforming how we understand customer needs, customize experiences, and upgrade […]