Today, more than ever, people are concerned about data privacy. Reflecting this, countries all over the world have introduced privacy laws – GDPR and CCPA being the biggest examples. These laws govern how businesses should collect, manage, and maintain data. This has prompted businesses to reevaluate their data collection operations. But to keep data private and secure businesses […]
Driving Data Governance: The Role of Data Strategy and Data Literacy Programs
In today’s data-driven world, organizations face increasing pressure to manage and govern their data assets effectively. Data governance plays a crucial role in ensuring that data is managed responsibly, securely, and in accordance with regulatory requirements. One key component and driver of successful data governance is the implementation of a robust data strategy coupled with […]
How to Assess GenAI’s Impact on Your Business
Since the beginning of 2023, generative AI (GenAI) has quickly made a significant impact across an expanding range of industries and applications. In just over a year since its groundbreaking debut, there’s much to celebrate about GenAI – and even more to still uncover and understand. Today, 79% of employees report at least some exposure to AI, […]
Data Intelligence: The Key to Empowered People and Decisions
McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic. How are these two concepts – the perception of data […]
Women in Data: Meet Deloitte CDO Dr. Adita Karkera
The latest installment in our Q&A series with women leaders in data features Dr. Adita Karkera, chief data officer (CDO) of government and public services at Deloitte. (Read our previous Q&A here.) Dr. Adita Karkera discovered her love for data as a database administrator for the State of Arkansas. Over the next two decades, she dedicated […]
The Cool Kids Corner: Data Leadership (and the Importance of TNADVTMADHGI)
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. Last month we discussed data privacy. This month we’re talking about data leadership. What do we mean by data leadership? What are our challenges […]
Webinar: Enhancing Data Insights – A Case Study
Download the slides here>> This webinar is sponsored by: About the Webinar Discover how The Linux Foundation embraced a modern strategy for data visualization and analysis, enhancing their Insights tool through the integration of a semantic layer into their data stack. This discussion explores the enhancements in speed, data accessibility, and user experience enabled by […]
Maximizing Business Value with Generative AI
Have we ever seen something get adopted so quickly as generative AI (GenAI) compared to the past? Think about it: ChatGPT launched in 2022 and gained 100 million users in two months. In comparison, we have been hearing about AI for a few years, but the adoption rates of AI have varied from 25% to […]
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 […]
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 […]