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

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 105

Strategy Data Strategy ROI Cost-Benefit 105

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.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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

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

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 130

Data Architecture Data Warehouse Statistics Visualization 130

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 84

Data Lake Data Governance Data Architecture Machine Learning 84

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

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

CIO Business Intelligence

MARCH 31, 2022

The chief data officer (CDO) is a senior executive responsible for the utilization and governance of data across the organization. While the chief data officer title is often shortened to CDO, the role should not be confused with that of the chief digital officer , which is also frequently referred to as CDO.

Consulting 133

Consulting Strategy Data Strategy Data Governance 133

CIO Business Intelligence

NOVEMBER 16, 2022

I’ve heard it referred to as the lattice. On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data. That’s how data governance is critical to our organization and analytics are a way to unlock value.

IT 133

IT Modeling Digital Transformation Data Governance 133

CIO Business Intelligence

MARCH 8, 2023

Getting there requires process and operational transformation, new levels of data governance and accountability, business and IT collaboration, and customer and stakeholder trust. The reality is many organisations still struggle with the data and analytics foundations required to progress down an advanced AI path.

Enterprise 52

Enterprise Data Governance Data Strategy Testing 52

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Cost-Benefit 78

Cost-Benefit Data-driven Risk Data Governance 78

AWS Big Data

APRIL 19, 2023

Encounter 4 appears to refer to the customer with ID 8, but the email doesn’t match, and no Customer_ID is given. To learn more about ML in Neptune, refer to Amazon Neptune ML for machine learning on graphs. You can also explore Neptune notebooks demonstrating ML and data science for graphs.

Technology 85

Technology Data-driven Machine Learning Sales 85

BizAcuity

APRIL 14, 2022

The comprehensive system which collectively includes generating data, storing the data, aggregating and analyzing the data, the tools, platforms and other softwares involved is referred to as Big Data Ecosystem. Data Management. The majority of the data a business has stored is generally unstructured.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

JULY 28, 2023

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. Organizations need to develop robust data governance practices, establish clear procedures for handling deletion requests, and maintain ongoing compliance with GDPR regulations.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

Jen Stirrup

NOVEMBER 15, 2022

Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. However, the thrust here is not to diminish data science or data engineering.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 92

Optimization B2B Data Quality Sales 92

IBM Big Data Hub

AUGUST 4, 2023

In turn, they both must also have the data literacy skills to be able to verify the data’s accuracy, ensure its security, and provide or follow guidance on when and how it should be used. By recognizing data as a product, it creates greater incentive to properly manage data. What are your data and AI objectives?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Ontotext

SEPTEMBER 1, 2023

LLMs in particular have remarkable capabilities to comprehend and generate human-like text by learning intricate patterns from vast volumes of training data; however, under the hood, they are just statistical approximations. An LLM, on the other hand, is a neural network model built by processing text data.

Risk 52

Risk Modeling Data Quality Data Governance 52

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

BI-Survey

MARCH 4, 2022

However, when attempting to restructure and reorganize data flows and processes and bring in new ways of working with data, particularly CDOs, CIOs and data teams often run into what feels like a brick wall. So, understanding what data culture means within each organization is critical to its success. DATA LEADERSHIP.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 81

Management Risk Measurement Optimization 81

BizAcuity

APRIL 1, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

Alation

MAY 10, 2021

Implementing a data catalog enhances an organization’s data management and allows for the democratization of that data But how are data catalogs implemented? In phase one, an enterprise must create a data strategy , which will inform later plans. Build a Data Strategy (Phase One).

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. Implementing adaptive, active data governance. What Are the Benefits of an Enterprise Analytics Strategy?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

AWS Big Data

MAY 19, 2023

Orchestrating the run of and managing dependencies between these components is a key capability in a data strategy. Amazon Managed Workflows for Apache Airflows (Amazon MWAA) orchestrates data pipelines using distributed technologies including on-premises resources, AWS services, and third-party components. The default is false.

Machine Learning 84

Machine Learning Metrics Big Data Management 84

TDAN

NOVEMBER 1, 2022

The often neglected meaning, as in “we’ve had an oversight”, refers to missing or failing to notice something. This dual meaning makes oversight more attractive to us than governance. The word “oversight”, has two mirror meanings. The usual meaning, most frequently encountered, is that of observing something in broad context.

Data Strategy 52

Data Strategy Data Governance Strategy Management 52

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1.

Strategy 52

Strategy Enterprise Management Modeling 52

Alation

NOVEMBER 9, 2021

Why should an enterprise care about data culture? Because the lack of a robust data culture can derail your entire data strategy. People are convinced of data’s value but they struggle to use it effectively. But there is a way to improve your data culture. What is Data Culture?

Data-driven 52

Data-driven Cost-Benefit Reporting Data Governance 52

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Peter James Thomas

MAY 3, 2019

Control of Data to ensure it is Fit-for-Purpose. This refers to a wide range of activities from Data Governance to Data Management to Data Quality improvement and indeed related concepts such as Master Data Management. Data Strategy. Watch this space. [2].

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

IBM Big Data Hub

MAY 28, 2024

It oversees all tasks related to securely transferring production data to data stores, whether on-premises or in external cloud environments. Incident response Incident response (IR) refers to an organization’s processes and technologies for detecting and responding to cyber threats, security breaches and cyberattacks.

Strategy 64

Strategy Measurement Risk Cost-Benefit 64

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

TDAN

AUGUST 20, 2019

We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for references, as well as the DAMA Data Management Body of Knowledge (DMBok). Good day from DAMA International. You can purchase the DMBoK at your favorite book source or via website link.

Management 40

Management Data Quality Data Architecture Data Governance 40

Alation

FEBRUARY 20, 2020

Can I trust the data that I’m seeing? A Single Source of Reference. A data catalog has emerged as a core component of modern data organizations and key for CDOs making the transition from process-centric to data-driven. The catalog draws on third-party information to verify whether the data can be trusted.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52