TDAN

AUGUST 16, 2022

Data Acumen, Literacy, and Culture Data literacy, or data acumen[1] as we like to call it, is increasingly cited as a critical enabler of being a data-driven organization. We set out to do something about that and developed a data acumen quick reference. Using the quick reference, folks […].

Data-driven 52

Data-driven IT Data Quality Data Strategy 52

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 Management 52

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

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 95

Data Quality Data Governance Data Lake Testing 95

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Governing metadata.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. To create an instance of a typedef, use the REST API “ /api/atlas/v2/entity/bulk ” and refer to the corresponding typedef (e.g.

Data Governance 97

Data Governance Metadata Enterprise Data Processing 97

TDAN

JUNE 18, 2019

Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […]. In part two, I detail each of the labels on the rows and columns of the framework.

Data Governance 45

Data Governance Metadata Data Strategy Business Intelligence 45

DataKitchen

FEBRUARY 18, 2022

This paper will focus on providing a prescriptive approach in implementing a data pipeline using a DataOps discipline for data practitioners. 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.

Data Quality 130

Data Quality Machine Learning Business Intelligence Data Governance 130

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

Andrew White

AUGUST 26, 2020

I followed up: The data quality metrics being looked at seemed devoid of reference to anything other than a need to focus on data quality; and how to get more use out of some recently invested technology. From this, you identify the least amount of data that drives the most important outcomes.

Data Quality 52

Data Quality Data Governance Metrics Measurement 52

TDAN

OCTOBER 1, 2019

One could argue it has become cliché to make references to the enormous significance and proliferation of data globally. Human and machine generated data is increasing even more rapidly at 10x that of traditional business data [1]. By […].

Data Governance 45

Data Governance IT Data Strategy Business Intelligence 45

TDAN

APRIL 4, 2023

To talk with Bob Seiner is to talk with a friend and a personal reference in the field of data management. The fact that I have collaborated with him in the translation of his first book, Non-Invasive Data Governance: The Path of Least Resistance and Greatest Success, into Spanish is a source of pride. After […]

Data Governance 52

Data Governance Management Metadata Data Strategy 52

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 83

Data Lake Data Governance Data Architecture Machine Learning 83

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 132

Data Architecture Data Warehouse Statistics Visualization 132

TDAN

MAY 15, 2024

“Big data” refers to data sets that are so complex and large they cannot be analyzed or processed using traditional methods. However, despite the complexity of big data, it has become a major part of our digital-centric society.

IoT 52

IoT Big Data Internet of Things IT 52

David Menninger's Analyst Perspectives

OCTOBER 5, 2020

Our methodology for these assessments is referred to as a Value Index. Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors.

Software 284

Software Analytics Business Intelligence Technology 284

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.

Technology 246

Technology Management Data Lake IT 246

DataKitchen

JUNE 12, 2023

Today we have had over 20,000 signatures , millions of page views, and copycat clones, and it is frequently used as a reference guide. For example, just a few weeks ago, Microsoft announced data fabric, and John Kerski used it to frame up the discussion of how Microsoft data fabric supports DataOps principles.

Testing 130

Testing Data Lake Dashboards Data Science 130

AWS Big Data

MARCH 7, 2023

Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

erwin

MARCH 30, 2020

To do this, the consortium will need the ability to automatically scan and catalog the data sources and apply strict data governance and quality practices. Unraveling Data Complexities with Metadata Management. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows.

Metadata 108

Metadata Data Processing Management Testing 108

CIO Business Intelligence

MAY 16, 2024

We’ve also developed the first UNI Reference Practice on Digital Sustainability, with 58 KPIs that link to environmental, economic and social sustainability in a systematic way.” These represent measurable data that provide CIOs and companies with reference points to guide technology implementations from a broad perspective.

Digital Transformation 82

Digital Transformation Data-driven Cost-Benefit Management 82

CIO Business Intelligence

DECEMBER 7, 2023

While off-the-shelf generative AI technology from the likes of OpenAI, Google, Amazon, and others is incredibly powerful, the key to successful commercial generative AI initiatives is having authoritative, comprehensive reference data to train the system for a specific use case.

Insurance 70

Insurance Experimentation Finance Data Governance 70

Cloudera

MAY 22, 2023

The proliferation of data assets can have the greatest adverse impact on environmental health; standardization has many health benefits: Reduces the likelihood that ill-constructed assets take down processes, nodes, and clusters Reduces contention and competition for compute and storage Reduces process and service failures and associated troubleshooting (..)

Statistics 76

Statistics Data-driven Reporting Dashboards 76

CIO Business Intelligence

MAY 10, 2023

AI relies upon large sets of data fed into it to help create output but is limited by the quality of data that is consumed by the model. This was on display during the initial test releases of Google Bard, where it provided a factually inaccurate answer on the James Webb Space Telescope based on reference data it ingested.

Metadata 98

Metadata Data Governance Modeling Technology 98

TDAN

APRIL 3, 2024

Instead of a friend, I will refer to friends as data stewards. You’ve probably heard the expression, “A friend in need is a friend indeed.” For this column, I am going to play with that expression to make a point. Instead of indeed (meaning certainly), I am going to insert a space in the word […]

Data Governance 52

Data Governance Metadata Management 52

Octopai

JUNE 19, 2023

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

Andrew White

APRIL 19, 2022

I read with great interest a report from Grant Thornton and the Data Foundation that is ‘state of the union’ for the US Federal Data Strategy. Here it is: On the maturation of data governance in U.S. They are doing well setting up the framework for data governance, data cataloging, and some data management efforts.

Data Strategy 52

Data Strategy Strategy Data Governance Reporting 52

CIO Business Intelligence

NOVEMBER 16, 2022

I’ve heard it referred to as the lattice. The right governance around that product data has to be in place too so it can be used throughout the full product lifecycle. That’s how data governance is critical to our organization and analytics are a way to unlock value. There are many different routes to take.

IT 133

IT Modeling Digital Transformation Data Governance 133

Cloudera

AUGUST 30, 2022

For example, providers can start by including more real-time data streams that can enhance customer interactions. Streaming market data, news feeds, or sending a budget alert can be introduced to a service without a complete overhaul. Cloudera refers to this as universal data distribution, as explored further in this blog post.

Strategy 107

Strategy Data Strategy ROI Cost-Benefit 107

TDAN

FEBRUARY 21, 2024

Explainable AI refers to ways of ensuring that the results and outputs of artificial intelligence (AI) can be understood by humans. It contrasts with the concept of the “black box” AI, which produces answers with no explanation or understanding of how it arrived at them.

Software 52

Software IT Data Governance Big Data 52

Alation

JUNE 23, 2022

Respondents in much larger (and smaller) organizations were most likely to call data catalogs critical, with 65% of respondents in organizations exceeding ten thousand employees calling data catalogs critical or very important. Data governance now a must-have feature. Integration with self-service data-prep tools.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management?

Data Quality 241

Data Quality Metrics Data-driven Management 241

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. Reference information.

Metadata 105

Metadata Management Data Governance Machine Learning 105

IBM Big Data Hub

DECEMBER 14, 2023

Cyber resiliency refers to an organization’s ability to prepare for, respond to, and recover from cyber threats while maintaining the continuity of operations. In today’s digital age, the threat landscape continues to evolve and organizations are increasingly vulnerable to cyberattacks.

Risk 86

Risk Measurement Business Objectives Optimization 86

TDAN

OCTOBER 18, 2022

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend.

Software 94

Software Data Architecture IT Data Quality 94

erwin

JULY 2, 2020

a senior business process management architect at a pharma/biotech company with more than 5,000 employees, erwin Evolve was useful for enterprise architecture reference. As he put it, “We are describing our business process and we are trying to describe our data catalog. Data Governance with erwin Data Intelligence.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122