O'Reilly on Data

FEBRUARY 11, 2019

We’ve assembled sessions from leading companies, many of which will share case studies of applications of machine learning methods, including multiple presentations involving deep learning: Strata Business Summit. Temporal data and time-series analytics. Data Platforms. Data Integration and Data Pipelines.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

DataKitchen

DECEMBER 7, 2021

Disrupting Data Governance: A Call to Action, by Laura B. If your data nerd is all about bucking the status quo, Disrupting Data Governance is the book for them. ???. The old adage “if ain’t broke don’t fix it” doesn’t apply to data governance. Author Laura B. You can purchase the book here.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Alation

NOVEMBER 4, 2021

This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality.

Data Governance 94

Data Governance Metadata Data Quality Enterprise 94

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Rocket-Powered Data Science

MARCH 20, 2023

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. Live online presentations, demos, and customer testimonials were complemented with new content posted at sap.com/datasphere.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

O'Reilly on Data

MAY 21, 2019

You also need solutions that let you understand what data you have and who can access it. About a third of the respondents in the survey indicated they are interested in data governance systems and data catalogs. 21% of survey respondents said they are building or evaluating data lineage solutions.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

CIO Business Intelligence

DECEMBER 20, 2024

DAMA Internationals Data Management Body of Knowledge is a framework specifically for data management. It provides standard definitions for data management functions, deliverables, roles, and other terminology, and presents guiding principles for data management. Ensure data governance and compliance.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

O'Reilly on Data

FEBRUARY 4, 2019

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

Cloudera

JUNE 14, 2024

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.

Data Governance 74

Data Governance Data-driven Insurance Enterprise 74

Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Cloudera

NOVEMBER 13, 2024

This includes having full visibility into the origin of the data, the transformations it underwent, its relationships, and the context that was added or stripped away from that data as it moved throughout the enterprise. It allows users to mitigate risks, increase efficiency, and make data strategy more actionable than ever before.

Metadata 90

Metadata Management Data Governance Data-driven 90

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

AWS Big Data

DECEMBER 4, 2024

Under the federated mesh architecture, each divisional mesh functions as a node within the broader enterprise data mesh, maintaining a degree of autonomy in managing its data products.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

David Menninger's Analyst Perspectives

AUGUST 11, 2022

BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view.

Business Intelligence 246

Business Intelligence Analytics Visualization Marketing 246

CIO Business Intelligence

JANUARY 7, 2025

In: Doubling down on data and AI governance Getting business leaders to understand, invest in, and collaborate on data governance has historically been challenging for CIOs and chief data officers.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

TDAN

DECEMBER 20, 2022

What is Data Governancein 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 Analytics Metadata 52

AWS Big Data

DECEMBER 12, 2024

These complex queries typically involve data sources from multiple business systems, requiring multilevel nested SQL or associations with numerous tables for highly sophisticated analytical tasks. The combination of these three services provides a powerful, comprehensive solution for end-to-end data lineage analysis.

Snapshot 97

Snapshot Recreation/Entertainment Experimentation Data Lake 97

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Data Architecture 52

AWS Big Data

NOVEMBER 15, 2023

million data points per second. million data points per second. We will also cover data governance with sessions such as ANT206: Modern data governance customer panel, ANT334: End-to-end data and machine learning governance on AWS, and AIM344: Scaling AI/ML governance.

Broadcasting 119

Broadcasting Recreation/Entertainment Data Governance Strategy 119

Alation

JUNE 7, 2021

Data governance helps business users make faster, more informed business decisions. But data governance can be difficult without the right tools and processes. One must answer core questions, like, What is data? How do you deliver data governance that meets the needs of both? Who can use it?

Data Governance 52

Data Governance Risk Metadata Enterprise 52

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part?

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Collaborating with research institutions can improve ESG data methodologies while engaging with regulators ensures compliance with changing disclosure requirements.

IT 59

IT Data Governance Data-driven Metrics 59

Timo Elliott

DECEMBER 10, 2024

The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro. Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.

Management 52

Management Data Governance Consulting Risk 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 Metadata Data-driven Unstructured Data 52

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

TDAN

MARCH 2, 2021

In this and future columns, I will look at data from diverse and even eccentric perspectives, presenting fresh and sometimes whimsical views of these much-discussed topics. Readers of TDAN.com may recall my previous articles where I explored data governance from the perspective of classical […].

Data Governance 98

Data Governance Big Data Management 98

Alation

FEBRUARY 20, 2020

Traditional top-down, workflow-driven data governance simply can’t keep pace — there is too much data and too many self-service users. Writing down policies and expecting people to manually validate the data at their disposal is simply unrealistic. How do you manage the consumption of that much information?

Data Governance 52

Data Governance Data-driven Machine Learning Technology 52

Alation

SEPTEMBER 14, 2021

The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. Alation Data Governance App. The Data Governance App introduces a range of new capabilities to make governance more easy and effective.

Data Governance 52

Data Governance Dashboards Measurement Machine Learning 52

Alation

FEBRUARY 15, 2022

To meet this trend, retailers know that data is the key. The wide-open, greenfield opportunity presented by retail data in the early e-commerce days has also changed. Retailers today see the huge potential of data, but it is tempered by security, compliance, regulatory, privacy, and many other concerns.

Data Governance 52

Data Governance Data Quality Metrics Data-driven 52

Cloudera

DECEMBER 17, 2024

Carriers need tools that enable them to monitor performance, optimize workload distribution, and ensure data governance across both on-premises and cloud environments. The 5G era presents telecom carriers with both significant challenges and opportunities, each of which can be met effectively with a firm grounding in data.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

CIO Business Intelligence

AUGUST 9, 2024

The dashboard now in production uses Databricks’ Azure data lake to ingest, clean, store, and analyze the data, and Microsoft’s Power BI to generate graphical analytics that present critical operational data in a single view, such as the number of flights coming into domestic and international terminals and average security wait times.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

erwin

NOVEMBER 28, 2019

Enterprise architecture tools allow an organization to map its applications – complete with their associated technologies and data – to the business functions they power. For this reason, enterprise architecture tools also are key to a data governance initiative, and part of the technologies used as data governance tools.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

erwin

JUNE 22, 2020

Earlier this year, erwin released its 2020 State of Data Governance and Automation (DGA) report. About 70 percent of the DGA report respondents – a combination of roles from data architects to executive managers – say they spend an average of 10 or more hours per week on data-related activities.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106