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

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

MARCH 2, 2023

It does feel, however, as if we need jet-like speed to analyze and understand our data, who is using it, how it is used, and if it is being used to drive value. With lots of data comes yet more calls for automation, optimization, and productivity initiatives to put that data to good use. This data about data is valuable.

Metadata 52

Metadata Marketing IT Data Quality 52

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

Alation

APRIL 25, 2023

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. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

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 140

Data Governance IT Risk Data Lake 140

AWS Big Data

JANUARY 18, 2024

AWS Lake Formation and the AWS Glue Data Catalog form an integral part of a data governance solution for data lakes built on Amazon Simple Storage Service (Amazon S3) with multiple AWS analytics services integrating with them. DataZone automatically manages the permissions of your shared data in the DataZone projects.

Data Lake 90

Data Lake Metadata Data Governance Statistics 90

Alation

MAY 12, 2022

Whether you have a traditional assembly line or employ the most cutting-edge technology, your most valuable resource is data. Data governance is the foundation on which manufacturers ensure the effective use of valuable data by giving you the ability to handle, manage, and secure your data. Here’s how.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. All of that technology, though, depends on data to be successful.

Analytics 108

Analytics Metadata Data Strategy Optimization 108

Alation

JANUARY 26, 2023

These data requirements could be satisfied with a strong data governance strategy. Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. How can data engineers address these challenges directly?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

APRIL 25, 2023

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. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

erwin

JANUARY 31, 2019

And even organizations that are currently compliant can’t afford to let their data governance standards slip. Data Governance for GDPR. Google’s record GDPR fine makes the rationale for better data governance clear enough. So arguably, the “tertiary” benefits of data governance should take center stage.

Data Governance 72

Data Governance Metadata Cost-Benefit Enterprise 72

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

OCTOBER 4, 2022

At the same time, there’s a growing opportunity to learn from customer data to deliver superior products and services. For these reasons, insurers are adopting data governance solutions for a range of use cases. What is Data Governance in the Insurance Industry? Why is it Important?

Insurance 52

Insurance Data Governance Risk Strategy 52

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

TDAN

NOVEMBER 15, 2022

Modern data access governance is a delicate balancing act where organizations have to be both privacy-driven and data-driven, where business leaders have to secure user data and stay compliant, while also uncovering insight and optimizing operations. After all, data access management is a […].

Data Governance 52

Data Governance Data-driven Optimization Management 52

Alation

SEPTEMBER 7, 2021

In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. But governance is a time-consuming process (for users and data stewards alike).

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Technical Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Alation

JUNE 1, 2023

So it’s fitting that Snowflake Summit , the premier event for data cloud strategy, will occur at Caesars Forum in Las Vegas on June 26–29 (togas not required). As a 2-time Snowflake Data Governance Partner of the Year , Alation knows how important this event is to the Snowflake community. The data governance team’s solution?

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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 77

Cost-Benefit Metadata Data Governance Modeling 77

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 121

Data Architecture Data Warehouse Statistics Visualization 121

IBM Big Data Hub

JANUARY 17, 2023

Essential components of a data lakehouse architecture and what makes an open data lakehouse. At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

erwin

DECEMBER 17, 2020

Insights: Given the meaning of the data is the same, regardless of the domain it came from, an organization can use its data to power business insights. Compliance: It improves data governance to comply with such regulations as the General Data Protection Regulation (GDPR).

Modeling 90

Modeling Metadata Data-driven Data Lake 90

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. It is crucial to simplify data consumption and access for all users to support self-service requirements.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

OCTOBER 4, 2023

Collaboration – Analysts, data scientists, and data engineers often own different steps within the end-to-end analytics journey but do not have an simple way to collaborate on the same governed data, using the tools of their choice.

Metadata 101

Metadata Data Lake Publishing Data Governance 101

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. Moving to the “optimal” stage of maturity is critical to eliminating unauthorized access by bad actors, both foreign and domestic.

Metadata 81

Metadata Data Lake Optimization Modeling 81

DataKitchen

JANUARY 5, 2021

The data teams share a common objective; to create analytics for the (internal or external) customer. Execution of this mission requires the contribution of several groups: data center/IT, data engineering, data science, data visualization, and data governance.

Testing 147

Testing Data Governance Metadata Visualization 147

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling. Provide metadata and schema visualization regardless of where data is stored. Support an all-inclusive environment of collaboration.

Modeling 98

Modeling Metadata Data Governance Visualization 98

AWS Big Data

JUNE 9, 2023

Data in customers’ data lakes is used to fulfil a multitude of use cases, from real-time fraud detection for financial services companies, inventory and real-time marketing campaigns for retailers, or flight and hotel room availability for the hospitality industry.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 84

Finance Metadata Big Data Recreation/Entertainment 84

Cloudera

MARCH 22, 2023

Luke Roquet recently drilled into the topic of data observability with Mark Ramsey of Ramsey International (RI) to also cover the five pillars (freshness, distribution, volume, schema, and lineage) that describe the quality and reliability of data. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 87

Metrics Data Governance Cost-Benefit Dashboards 87

AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 96

Management Big Data Metadata Data Warehouse 96

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

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 IT Data Governance 75

AWS Big Data

MAY 1, 2024

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. Responsibilities include: Load raw data from the data source system at the appropriate frequency.

Dashboards 111

Dashboards Data-driven Publishing Cost-Benefit 111