O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. If you suddenly see unexpected patterns in your social data, that may mean adversaries are attempting to poison your data sources.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Dataconomy.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. This automation results in greater accuracy, faster analysis and better decision-making for data governance and digital transformation initiatives.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

erwin

DECEMBER 9, 2024

If you are not observing and reacting to the data, the model will accept every variant and it may end up one of the more than 50% of models, according to Gartner , that never make it to production because there are no clear insights and the results have nothing to do with the original intent of the model.

Metadata 52

Metadata Data Quality Sales Modeling 52

erwin

MARCH 21, 2019

With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Historically, BPM didn’t necessarily have to be tied to an organization’s data governance initiative. Choosing a BPM Tool: An Overview.

Modeling 75

Modeling Metadata Data Governance IT 75

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains. Digital Transformation is not without Risk.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

AWS Big Data

JULY 18, 2024

The DPP was developed to streamline access to data from shop-floor devices and manufacturing systems by handling integrations and providing standardized interfaces. This blog post introduces Amazon DataZone and explores how VW used it to build their data mesh to enable streamlined data access across multiple data lakes.

Data Lake 130

Data Lake Publishing Metadata Data-driven 130

TDAN

NOVEMBER 2, 2021

As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. Anything […].

Data Governance 52

Data Governance Operational Reporting Manufacturing Risk 52

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.) But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

AWS Big Data

MARCH 10, 2023

Apache Iceberg overview Iceberg is an open-source table format that brings the power of SQL tables to big data files. It enables ACID transactions on tables, allowing for concurrent data ingestion, updates, and queries, all while using familiar SQL. The Iceberg table is synced with the AWS Glue Data Catalog.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

APRIL 19, 2023

We took this a step further by creating a blueprint to create smart recommendations by linking similar data products using graph technology and ML. In this post, we showed how an organization can augment a data catalog with additional metadata by using ML and Neptune with an automated process.

Technology 105

Technology Data-driven Machine Learning Sales 105

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. SECURITY AND GOVERNANCE LEADERSHIP. Winners included: Connect the Data Lifecycle: Globe Telecom — Raising experience standards and helping customers live enhanced mobile lifestyles.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

NOVEMBER 12, 2020

Inability to maintain context – This is the worst of them all because every time a data set or workload is re-used, you must recreate its context including security, metadata, and governance. Alternatively, you can also spin up a different compute cluster and access the data by using CDP’s Shared Data Experience.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

Alation

FEBRUARY 20, 2020

In the back office and manufacturing, organizations invested in enterprise resource planning (ERP) software. Modernizing Data Environments for Trusted Self-Service Analytics. eBay is one of the world’s largest and most complex data environments. Get the latest data cataloging news and trends in your inbox.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. 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. Do you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Octopai

SEPTEMBER 22, 2019

Modern businesses live and die by the quality of the data they collect and use. Retail companies—both e-commerce and brick-and-mortar—as well as manufacturing, transportation, and services, have come to think of themselves as “data companies.” Insurance Metadata Management. Both of these two keys deal with metadata.

Metadata 53

Metadata Insurance Management Data Governance 53

O'Reilly on Data

JULY 28, 2020

For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change. Garbage in, garbage out” holds true for AI, so good AI PMs must concern themselves with data health. There are many excellent resources on data quality and data governance.

Marketing 364

Marketing Experimentation Metrics Testing 364

IBM Big Data Hub

AUGUST 7, 2023

For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients. Orion can serve as a robust repository for storing the carbon footprint data of all product components, provided by part manufacturers.

Data Governance 62

Data Governance Manufacturing Interactive IoT 62

Jet Global

DECEMBER 17, 2021

For example, the research finds that nearly half (48%) of finance organizations spend too much time on closing the books in reporting entities, and a similar percentage spend too much time on subsequent steps, such as, data collection, validation, and submission of data to the corporate center.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52

AWS Big Data

OCTOBER 31, 2024

The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. After the right data for the use case was found, the IT team provided access to the data through manual configuration.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111

AWS Big Data

NOVEMBER 13, 2024

This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone. Onboard key data products – The team identified the key data products that enabled these two use cases and aligned to onboard them into the data solution.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

erwin

JANUARY 7, 2021

Historically, moving legacy data to the cloud hasn’t been easy or fast. As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

AWS Big Data

MARCH 13, 2025

Open source Pinot requires in-house expertise that can challenge well-established technical teams to provision hardware, configure environments, tune performance, maintain security, adhere to data governance requirements, manage software updates, and constantly monitor for system issues.

Management 105

Management Analytics OLAP Online Analytical Processing 105