Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Alation

FEBRUARY 3, 2022

DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. So how does data governance relate to DataOps? Data governance is a key data management process. Continuous Improvement Applied to Data Governance.

Data Governance 98

Data Governance Measurement Metadata Testing 98

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

CIO Business Intelligence

MAY 3, 2022

As the 125-year-old company evolves to meet changing market needs, and as enabling technologies like AI and machine learning are added to the mix, this integrated and collaborative approach has changed how IT makes decisions about which digital solutions are right for Dow and the markets they serve, explains Chris Bruman, Dow’s Chief Data Officer.

Data Quality 81

Data Quality Machine Learning Business Objectives Business Intelligence 81

CIO Business Intelligence

APRIL 29, 2022

Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle. Further, data management activities don’t end once the AI model has been developed. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse.

Data-driven 93

Data-driven Data Lake Data Quality Data Governance 93

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

Alation

JANUARY 26, 2023

That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline. However, data needs to be easily accessible, usable, and secure to be useful — yet the opposite is too often the case. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Cloudera

MAY 14, 2024

More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Data comes in many forms. That cross-functionality inherent in ‘true’ hybrid cloud also brings a crucial boost to data governance.

Data Architecture 86

Data Architecture Data Governance Unstructured Data Structured Data 86

DataKitchen

FEBRUARY 18, 2022

Data is unique in many respects, such as data quality, which is key in a data monetization strategy. Data governance is necessary in the enforcement of Data Privacy. Automation and orchestration in an interoperable hybrid cloud distributed data landscape is where DataOps excels.

Data Quality 130

Data Quality Machine Learning Business Intelligence Data Governance 130

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Source: [link] I will finish with three quotes.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Jen Stirrup

FEBRUARY 23, 2024

Data Volume : Monitoring changes in the amount of data, which can indicate issues or unexpected behavior in data pipelines. Schema Changes : Tracking data structure or schema changes can affect downstream processes and analytics. Data Quality : Identifying data accuracy, consistency, and completeness issues.

Data-driven 73

Data-driven Data Governance Data Quality Cost-Benefit 73

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Laminar Security

DECEMBER 13, 2023

Data discovery and classification play a pivotal role in decision-making processes within organizations. In the traditional approach, data discovery was a time-consuming and labor-intensive process. However, the advent of AI and machine learning (ML) has revolutionized this process.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

IBM Big Data Hub

NOVEMBER 28, 2022

Suppose that a new data asset becomes available but remains hidden from your data consumers because of improper or inadequate tagging. How do you keep pace with growing data volumes and increased demand from data consumers and deliver real-time data governance for trusted outcomes? Improve data discovery.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 320

Management Data Warehouse Data Quality Data Integration 320

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Peter James Thomas

AUGUST 4, 2020

As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls. Boosting [Machine Learning]. Conformed Data (Conformed Dimension). Data Capability. Data Driven. Data Maturity.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders.

Optimization 88

Optimization B2B Data Quality Sales 88

Andrew White

JULY 23, 2019

Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Machine Learning and AI: How to Reveal the Business Value of Imperfect Data With AI (Avon) 710673. Machine Learning Literacy for Business Partners (Micron) 708383. Data Quality Score (TE Connectivity) 705649.

Snapshot 73

Snapshot Analytics Machine Learning Data Quality 73

Alation

JULY 19, 2021

This requires a metadata management solution to enable data search & discovery and data governance, both of which empower access to both the metadata and the underlying data to those who need it. In today’s world, metadata management best practices call for a data catalog. Administrative information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

IBM Big Data Hub

JULY 6, 2022

Businesses of all sizes, in all industries are facing a data quality problem. 73% of business executives are unhappy with data quality and 61% of organizations are unable to harness data to create a sustained competitive advantage 1.

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

Octopai

DECEMBER 12, 2021

Metadata stewardship tools are important for: Data governance Regulatory compliance Evaluating and improving data quality. Metadata collaboration tools are important for: improving data quality evaluating the usefulness of data for a given purpose. Data catalogs. Metadata collaboration.

Metadata 93

Metadata Management Data Quality Data Governance 93

AWS Big Data

MAY 1, 2024

In addition, by properly separating data and processing, it becomes effortless for the teams and organizations to share, manage, and inherit processes that were traditionally confined to individual PCs. It is crucial in data governance and data management. It can also contribute to lower utilization by end-users.

Dashboards 111

Dashboards Data-driven Publishing Cost-Benefit 111

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 79

Data Lake Data Governance Data Architecture Data Warehouse 79

IBM Big Data Hub

APRIL 10, 2023

To further the above, organizations should have the right foundation that consists of a modern data governance approach and data architecture. It’s becoming critical that organizations should adopt a data architecture that supports AI governance.

Strategy 95

Strategy Data Architecture Cost-Benefit Reporting 95

Smarten

AUGUST 4, 2023

Look for a solution with no requirement for SQL skills or the need for manual skills in data extraction, transformation, and loading (ETL). An augmented analytics solution that leverages machine learning can provide recommendations for users, so that they achieve the results they need, quickly and easily.

Data Lake 52

Data Lake Machine Learning Data Integration Optimization 52

AWS Big Data

NOVEMBER 16, 2023

Tag-based access control not only enhances data security and privacy, but also promotes efficient collaboration and knowledge sharing. Relying solely on centralized tag creation and governance can create bottlenecks, hinder agility, and stifle innovation. You will be able to see all the tags that the data steward has access to.

Management 110

Management Data Lake Sales Machine Learning 110

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 86

Metrics Data Governance Cost-Benefit Dashboards 86

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97