O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 311

Enterprise Deep Learning Data Governance Risk 311

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 87

Data Architecture Risk Management Risk Management 87

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Alation

MAY 4, 2023

Enhanced data quality Data catalogs provide a robust way of tracking data assets, helping to ensure that they are accurate, complete, and up-to-date. Establish clear objectives for integrating data catalogs with data visualization tools. Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

Srividya Sridharan

SEPTEMBER 5, 2019

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum.

Data Strategy 81

Data Strategy Strategy Predictive Analytics Customer Analytics 81

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

MAY 4, 2023

Enhanced data quality Data catalogs provide a robust way of tracking data assets, helping to ensure that they are accurate, complete, and up-to-date. Establish clear objectives for integrating data catalogs with data visualization tools. Research and select the right tools for your organization.

Visualization 40

Visualization Metadata Data Governance KPI 40

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. I especially wanted to identify industries that were ripe for data quality.

Data Quality 56

Data Quality Data-driven Big Data Consulting 56

Grooper

AUGUST 19, 2019

Key Language of Applied Analytics. The vocabulary of applied analytics includes words and concepts such as: Key performance indicators (KPIs). Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Data science skills. Data quality.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

BI-Survey

FEBRUARY 6, 2020

Recent years have seen extensive interest in topics around explorative BI such as advanced and predictive analytics. It is an increasing challenge for organizations to deliver high quality yet more flexible reporting solutions and applications in less time. Data management has always been a challenge for companies.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Andrew White

JANUARY 11, 2021

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. where performance and data quality is imperative? Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52