Data Governance Data Management High Quality Data Management 
Data Engineering Podcast
JUNE 2, 2024
Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. At what point does a lack of an explicit governance policy become a liability?
Databand.ai
MAY 30, 2023
Data quality refers to the degree of accuracy, consistency, completeness, reliability, and relevance of the data collected, stored, and used within an organization or a specific context. High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies.
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Databand.ai
AUGUST 30, 2023
This includes defining roles and responsibilities related to managing datasets and setting guidelines for metadata management. Data profiling: Regularly analyze dataset content to identify inconsistencies or errors. Additionally, high-quality data reduces costly errors stemming from inaccurate information.
Data Engineering Weekly
MARCH 3, 2024
There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?
Monte Carlo
JANUARY 10, 2024
On the other hand, “Can the marketing team easily segment the customer data for targeted communications?” usability) would be about extrinsic data quality. In this article, we present six intrinsic data quality techniques that serve as both compass and map in the quest to refine the inner beauty of your data.
Precisely
FEBRUARY 23, 2024
Their ability to generate business value is directly related to the quality of their data, however. Unless they have high-quality data, business users simply cannot deliver optimal results. This is especially important when matching third-party data with internal data sets.
Cloudera
MAY 18, 2022
Management has to see the value in the transformation to support it, and then work to get buy-in from all stakeholders. With AI, those reorders can be automated based on historical patterns and ongoing sales data; the system learns when to restock a product and what quantities to order. . Address data management .
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