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 95

Data Governance Enterprise Data Quality Metadata 95

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But are these rampant and often uncontrolled projects to collect metadata properly motivated? What Is Metadata?

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

APRIL 29, 2022

Data-centric AI is evolving, and should include relevant data management disciplines, techniques, and skills, such as data quality, data integration, and data governance, which are foundational capabilities for scaling AI. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Risk Data Lake 145

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

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

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. Variations of A Theme.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

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. . Digital Transformation is not without Risk.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

erwin

NOVEMBER 28, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

erwin

NOVEMBER 13, 2020

Digital Transformation. Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is). Digital Transformation. The key driver of modern EA is the demand for digital transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

Alation

APRIL 18, 2023

Gartner defines data profiling as: A technology for discovering and investigating data quality issues, such as duplication, lack of consistency, and lack of accuracy and completeness. The tools provide data statistics, such as degree of duplication and ratios of attribute values, both in tabular and graphical formats.

IT 52

IT Data Quality Metadata Data Governance 52

Alation

JULY 26, 2021

Beginning a digital transformation journey in a big organization can feel daunting. How do you initiate change within a system containing many thousands of people and millions of bytes of data? So you can probably imagine: The company manages a lot of data. AmFam first implemented the Alation Data Catalog in 2018.

Insurance 98

Insurance Digital Transformation Enterprise Data Governance 98

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. SECURITY AND GOVERNANCE LEADERSHIP. DATA FOR GOOD. Read more about last years Data Impact Award winners.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

erwin

NOVEMBER 21, 2019

The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”. In the era of data-driven business, such perspective is critical.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

TDAN

AUGUST 5, 2020

McKinsey research found, even before the pandemic hit, that 92% of organizations thought their business models would require a significant effort in digital transformation to remain competitive. Based on the recent and […].

Management 114

Management Digital Transformation Modeling Metadata 114

Alation

APRIL 14, 2023

Practitioners and hands-on data users were thrilled to be there, and many connected as they shared their progress on their own data stack journeys. People were familiar with the value of a data catalog (and the growing need for data governance ), though many admitted to being somewhat behind on their journeys.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1.

Cost-Benefit 98

Cost-Benefit Metadata Data Governance Reporting 98

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 130

IT Business Intelligence Sales Key Performance Indicator 130

erwin

MARCH 18, 2021

The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the latest trends and provide a roadmap for developing an offensive data management strategy. Data Governance Is Not Just About Compliance.

Management 82

Management Data Governance Metadata Risk 82

Sisense

JULY 6, 2020

Inaccurate data leads to generating unreliable insights which, in the long run, lead the business in the wrong direction. This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

erwin

MARCH 18, 2021

The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the latest trends and provide a roadmap for developing an offensive data management strategy. Data Governance Is Not Just About Compliance.

Management 64

Management Data Governance Metadata Risk 64

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

AUGUST 16, 2022

This report underscores the growing need at enterprises for a catalog to drive key use cases, including self-service BI , data governance , and cloud data migration. To arrive at a score, the writers reviewed product capabilities and strategy, combined with interviews with confirmed vendor customers.

Data Quality 52

Data Quality Data Governance Metadata Reporting 52

Alation

OCTOBER 21, 2021

But, on the back end, data lakes give businesses a common repository to collect and store data, streamlined usage from a single source, and access to the raw data necessary for today’s advanced analytics and artificial intelligence (AI) needs. That dirty data then corrupts analyses and forces mistakes. Lack of metadata.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Laminar Security

AUGUST 23, 2023

This speed and flexibility give developers and data scientists the right tools for staying at the forefront of innovation. Amidst these innovations, many businesses struggle to align their data security practices with the speed of digital transformation. What are the challenges of securing data in the cloud?

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? First, it can provide continuous transformation opportunities for the organization. It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. Data needs to be respected in the same way as building a product.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Constructing a Digital Transformation Strategy.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

erwin

JANUARY 3, 2020

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years. Constructing a Digital Transformation Strategy.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 52

Alation

JUNE 21, 2022

What we build will help customers access, analyze, and protect their data — no matter where it lives. Digital transformation requires a hybrid-cloud approach, tailored to the unique needs of an enterprise. That rich metadata fuels a range of use cases, from governance to data democratization initiatives.

Digital Transformation 52

Digital Transformation Metadata Cost-Benefit Data Governance 52

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

MAY 1, 2024

To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 108

Dashboards Data-driven Publishing Cost-Benefit 108

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