Alation

MAY 31, 2023

They collaborate with IT professionals, business stakeholders, and data analysts to design effective data infrastructure aligned with the organization’s goals. Their broad range of responsibilities include: Design and implement data architecture. Maintain data models and documentation.

Data Governance 52

Data Governance Data Quality Data Silos Data Modeling 52

Precisely

OCTOBER 12, 2023

Documenting what data is most important , then understanding what policies apply, where that data is, and how it fits into the overall compliance picture for financial services. Doing so requires comprehensive data quality and data governance programs that help you clearly understand who you’re dealing with.

Data Quality 64

Data Quality Data Governance ML ML 64

Alation

JULY 6, 2021

Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. Deeper knowledge of how data is used powers deeper understanding of the data itself. Siloed Data. Silos arise for a range of reasons.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Alation

MARCH 28, 2023

These cover managing and protecting cloud data, migrating it securely to the cloud, and harnessing automation and technology for optimised data management. Central to this is a uniform technology architecture, where individuals can access and interpret data for organisational benefit.

Data Silos 52

Data Silos Cloud Data Data Quality Data Governance 52

phData

DECEMBER 4, 2024

Implementing Generative AI can be difficult as there are some hurdles to overcome for any business to get up and running: Data Quality You get the same quality output as the data you use for any AI system, so having accurate and unbiased data is of the utmost importance.

AI 52

AI AI Data Warehouse Data Quality 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Data Quality Data Silos Analytics 52

Pickl AI

APRIL 14, 2023

With the exponential growth of data and increasing complexities of the ecosystem, organizations face the challenge of ensuring data security and compliance with regulations. It enables the stakeholders to assess the data architecture. When the data is of better quality it gives accurate insights.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

phData

JUNE 20, 2024

Data as the foundation of what the business does is great – but how do you support that? What technology or platform can meet the needs of the business, from basic report creation to complex document analysis to machine learning workflows? The Snowflake AI Data Cloud is the platform that will support that and much more!

Data Governance 52

Data Governance Analytics Analytics Power BI 52

Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. We might have found some data but what does it mean?

Analytics 52

Analytics Analytics Data Governance DataOps 52

Flipboard

FEBRUARY 12, 2025

While many software vendors are releasing and labeling the first AI agents based on simple conversational document search, advanced AI agents that will be able to plan, reason, use tools, collaborate with humans and other agents, and iteratively reflect on progress until they achieve their objective are on the horizon.

AI 65

AI AI Data Silos Artificial Intelligence 65

ODSC - Open Data Science

SEPTEMBER 29, 2023

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data. Please visit us at www.hpccsytems.com.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52