Data Collection Data Quality Marketing Metadata 
O'Reilly on Data
JULY 28, 2020
In this article, we turn our attention to the process itself: how do you bring a product to market? One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Data Quality and Standardization.
CIO Business Intelligence
NOVEMBER 22, 2022
Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.
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Ontotext
FEBRUARY 12, 2024
Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations.
Alation
JANUARY 26, 2023
Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.
O'Reilly on Data
MARCH 31, 2020
You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. You might have millions of short videos , with user ratings and limited metadata about the creators or content. That foundation means that you have already shifted the culture and data infrastructure of your company.
AWS Big Data
MARCH 26, 2024
This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%
O'Reilly on Data
MARCH 18, 2020
Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. By contrast, AI adopters are about one-third more likely to cite problems with missing or inconsistent data. Companies evaluating AI, by contrast, may not yet know to what extent data quality can create AI woes.
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