Data Governance Data Models Data Silos 
IBM Journey to AI blog
SEPTEMBER 5, 2024
Everything is data—digital messages, emails, customer information, contracts, presentations, sensor data—virtually anything humans interact with can be converted into data, analyzed for insights or transformed into a product. Managing this level of oversight requires adept handling of large volumes of data.
Alation
MAY 31, 2023
The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?
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ODSC - Open Data Science
APRIL 28, 2023
As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.
Tableau
OCTOBER 7, 2024
This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business. Tableau Pulse: Tableau Pulse metrics can be directly connected to dbt models and metrics.
Tableau
OCTOBER 14, 2021
IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.
Tableau
OCTOBER 14, 2021
IT faces hurdles in equipping people with the necessary insights to solve strategic problems quickly and act in their customers’ best interests; likewise, business units can struggle to find the right data when it’s needed most. Data management processes are not integrated into workflows, making data and analytics more challenging to scale.
phData
SEPTEMBER 27, 2024
Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.
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