The latest installment in our Q&A series with women leaders in data features Adita Karkera, chief data officer (CDO) of government and public services at Deloitte. (Read our previous Q&A here.) Adita Karkera discovered her love for data as a database administrator for the State of Arkansas. Over the next two decades, she dedicated herself to […]
How to Become a Data Product Manager
Becoming a data product manager means taking responsibility for the development and management of data products. Broadly speaking, a data product is any software or algorithms that use data to accomplish a goal. The data product manager is a management position, and requires several years of experience within the data industry to be done well. […]
Mission Critical: Dispatch on Safeguarding Government Data
Personal data has emerged as a coveted asset, drawing attention not just from corporate establishments, but also from foreign actors. This interest has sparked a significant challenge – the legal sale of data to overseas entities, raising concerns about the implications for civilians and military personnel alike. The recent initiative by President Biden underscores the criticality of […]
MDM vs. CDP: Which Does Your Organization Need?
Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Often, the reasons include: 1. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3. Inconsistent data quality across the organization Implementing a central […]
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 […]
Unlocking Business Potential: Leveraging Data Protection for Growth and Privacy
Data is undeniably the modern fuel that keeps organizations up and running in the dynamic business landscape. Admit it: Every organization catering to its customers online is handling heaps of customer data, which is collected for various purposes, including marketing and personalization. While most customers may offer their consent to use their personal details, most […]
Granularity Is the True Data Advantage
Commerce today runs on data – guiding product development, improving operational efficiency, and personalizing the customer experience. However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated. Often, executives will become overzealous in their digital transformations and cut blank checks for data collection, […]
The Impact of Generative AI on Data Science
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 […]
Smart Data Fingerprinting: The Answer to Data Management Challenges
The world generated 120 zettabytes of data in 2023, on track for a 1.5x growth over two years to exceed 180 zettabytes in 2025. Unfortunately, data management strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases. There is an […]
Data Labeling Challenges and Solutions
In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Numerous enterprises are grappling with generating usable data despite having huge amounts of raw information. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use. Data […]