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 Governance 52

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 134

Consulting Data Strategy Data Governance Strategy 134

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

CIO Business Intelligence

APRIL 6, 2022

In all of these roles, I’ve come across patterns that enable organizations to build faster business insights and innovation with data. These patterns encompass a way to deliver value to the business with data; I refer to them collectively as the “data operating model.”

Cost-Benefit 135

Cost-Benefit Digital Transformation Data-driven Strategy 135

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. Data strategy in a VUCA environment. Data in an uncertain environment.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

BI-Survey

DECEMBER 22, 2020

While IT is happy to look after the technical storage and backup of data, they refer to line of business experts when it comes to quality and usability. Managers see data as relevant in the context of digitalization, but often think of data-related problems as minor details that have little strategic importance.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

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 98

Optimization B2B Data Quality Sales 98

IBM Big Data Hub

FEBRUARY 9, 2023

Consider the following four key building blocks of data governance: People refers to the organizational structure, roles, and responsibilities of those involved in data governance, including those who own, collect, store, manage, and use data.

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. You can also explore Neptune notebooks demonstrating ML and data science for graphs.

Technology 105

Technology Data-driven Machine Learning Sales 105

CIO Business Intelligence

MAY 24, 2023

Hanna Hennig, CIO of Siemens, says she has seen business units start collecting data without knowing what to collect and why. “It If you don’t know what problem you want to solve, then you cannot define your data strategy.” Poor data quality leads to poor decisions and recommendations.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Acts as chair of, and appoints members to, the data council.

Management 98

Management Risk Measurement Optimization 98

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

AWS Big Data

AUGUST 1, 2024

Migrating to Amazon Redshift offers organizations the potential for improved price-performance, enhanced data processing, faster query response times, and better integration with technologies such as machine learning (ML) and artificial intelligence (AI).

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? Security breach? Massive cloud consumption bill you can’t account for?

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Analytics 52

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

AWS Big Data

SEPTEMBER 12, 2024

Conclusion In this post, we discussed the importance of using customer data to differentiate generative AI usage in applications. Network security – You can use AWS Firewall Manager to centrally configure and manage firewall rules across your accounts and AWS network security services, such as AWS WAF , AWS Network Firewall , and others.

Management 105

Management Analytics Data Lake Interactive 105

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. 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

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 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

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

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

JANUARY 25, 2023

Combining or linking data assets across multiple repositories to gain greater data analytics and insights requires alignment. It needs linking with consistent master data, reference data, data lineage and hierarchies.

Data Governance 52

Data Governance Data-driven Strategy Data Architecture 52

Alation

NOVEMBER 11, 2021

It’s the one thing that can save data teams from the risk of processing data from their own circular references, as this framework is a credible check-and-balance. Data Sovereignty and Cross?Border International data sharing is essential for many businesses. Data Quality Metrics. Border Movement.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

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. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

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. “There was no single source of reference, there was no catalog to leverage, and it was unclear who to ask or seek assistance from.”

Strategy 52

Strategy Enterprise Analytics Data Governance 52

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

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Publishing 52

Peter James Thomas

OCTOBER 30, 2018

Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). All the references I can find to it are modern pieces comparing it to the CDO role, so perhaps it is apochryphal.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

AWS Big Data

FEBRUARY 1, 2023

Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Architecturally, we chose a serverless model, and the data lake architecture action line refers to all the architectural gaps and challenging features we determined were part of the improvements.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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

Peter James Thomas

JUNE 3, 2019

The above infographic is the work of Management Consultants Oxbow Partners [1] and employs a novel taxonomy to categorise data teams. First up, I would of course agree with Oxbow Partners’ statement that: Organisation of data teams is a critical component of a successful Data Strategy.

Data Governance 45

Data Governance Cost-Benefit Insurance Data Quality 45

Grooper

AUGUST 19, 2019

Enterprise management and use of analytical tools, data, and data science capabilities. Machine Learning and Data Science. When we refer to ML, we are mainly talking about the process of automating and improving a machine’s ability to perform a task based on what it has learned. Data science approaches. Algorithms.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111