Data Enablement Data Governance Measurement Modeling 
Cloudera
FEBRUARY 15, 2024
From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.
Octopai
JUNE 19, 2023
For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.
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FineReport
APRIL 9, 2024
Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. Quality assurance measures play a pivotal role in validating the accuracy and relevance of data utilized by BI tools.
Laminar Security
DECEMBER 22, 2023
The cost of cloud storage: breaking down the numbers Cloud storage operates on a pay-as-you-use model, which appears cost-effective at first glance. However, when businesses fail to monitor and manage their data effectively, costs can escalate quickly. Data Access Governance (DAG) is pivotal for storage optimization.
Andrew White
JANUARY 11, 2021
Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). And not just for synthetic data techniques.
Smart Data Collective
OCTOBER 17, 2022
zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. Data pipeline maintenance. Poor performance.
IBM Big Data Hub
OCTOBER 20, 2023
Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.
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