Dataversity

AUGUST 12, 2024

We live in a data-driven culture, which means that as a business leader, you probably have more data than you know what to do with. To gain control over your data, it is essential to implement a data governance strategy that considers the business needs of every level, from basement to boardroom.

Data Governance 52

Data Governance Data Quality Business Intelligence Business Intelligence 52

Dataversity

SEPTEMBER 21, 2021

In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points. The post The Declarative Approach in a Data Playground appeared first on DATAVERSITY. But […].

Data Governance 98

Data Governance Business Intelligence Business Intelligence Data Quality 98

The Data Administration Newsletter

JANUARY 15, 2025

In my journey as a data management professional, Ive come to believe that the road to becoming a truly data-centric organization is paved with more than just tools and policies its about creating a culture where data literacy and business literacy thrive.

Data Governance 59

Data Governance Data Quality Business Intelligence Business Intelligence 59

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. Low quality In many scenarios, there is no one responsible for data administration.

Data Governance 52

Data Governance Data Engineering Data Engineer Data Engineering 52

Tableau

OCTOBER 10, 2021

There's a natural tension in many organizations around data governance. While IT recognizes its importance to ensure the responsible use of data, governance can often seem like a hindrance to organizational agility. We talked about the organization’s data governance efforts. October 11, 2021 - 3:25am.

Tableau 108

Tableau Data Governance Analytics Analytics 108

Tableau

OCTOBER 10, 2021

There's a natural tension in many organizations around data governance. While IT recognizes its importance to ensure the responsible use of data, governance can often seem like a hindrance to organizational agility. We talked about the organization’s data governance efforts. October 11, 2021 - 3:25am.

Tableau 98

Tableau Data Governance Analytics Analytics 98

Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. billion in 2023. It is expected to grow to USD 31.98

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Dataversity

JULY 21, 2022

Despite its many benefits, the emergence of high-performance machine learning systems for augmented analytics over the last 10 years has led to a growing “plug-and-play” analytical culture, where high volumes of opaque data are thrown arbitrarily at an algorithm until it yields useful business intelligence.

Machine Learning 98

Machine Learning Machine Learning Augmented Analytics Business Intelligence 98

The Data Administration Newsletter

JANUARY 14, 2020

Recently, I’ve encountered many client staff, course students, and conference attendees who are grappling with the basic question: “What is the difference between Data Managementand Data Governance?”

Data Governance 87

Data Governance Business Intelligence Business Intelligence 87

Dataversity

AUGUST 16, 2023

Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 80

Big Data Big Data Business Intelligence Business Intelligence 80

ODSC - Open Data Science

SEPTEMBER 27, 2023

As data lakes gain prominence as a preferred solution for storing and processing enormous datasets, the need for effective data version control mechanisms becomes increasingly evident. Storage Optimization: Data warehouses use columnar storage formats and indexing to enhance query performance and data compression.

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98

The Data Administration Newsletter

MAY 5, 2021

For enterprise Business Intelligence (BI) deployments to be successful, it is critical that a governance layer is established on not only the data being captured, but also the analytics that are being delivered to business users.

Business Intelligence 66

Business Intelligence Business Intelligence Analytics Analytics 66

The Data Administration Newsletter

MARCH 15, 2022

1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […]. We know the phrase, “Beauty is in the eye of the beholder.”1

Data Quality 98

Data Quality Data Governance Business Intelligence Business Intelligence 98

The Data Administration Newsletter

DECEMBER 5, 2023

In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and how to gather the data.

Data Governance 52

Data Governance Data Quality Business Intelligence Business Intelligence 52

The Data Administration Newsletter

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Data Governance 94

Data Governance Big Data Big Data Business Intelligence 94

Towards AI

JANUARY 27, 2025

If your goal is to produce compelling marketing copy, draft articles, or generate creative content, you might find an upside in the models robust generative power. Are you willing to monitor or postprocess the AIs responses to keep them aligned with your business policies? Data Governance & Privacy: How Is Your Data Handled?

AI 98

AI AI Data Governance Business Intelligence 98

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

Data Analyst 59

Data Analyst Data Scientist Business Intelligence Business Intelligence 59

The Data Administration Newsletter

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Data Governance 52

Data Governance Data Quality Data Modeling Data Models 52

The Data Administration Newsletter

MARCH 2, 2021

First, data governance may be more similar to DevOps than first meets the eye. Second, the rise of Knowledge Graphs, Semantics and Data-Centric development will bring with it the need for something similar, which we are calling, “SemOps” (Semantic Operations).

Data Governance 52

Data Governance Business Intelligence Business Intelligence 52

The Data Administration Newsletter

APRIL 20, 2021

Steve Hoberman has been a long-time contributor to The Data Administration Newsletter (TDAN.com), including his The Book Look column since 2016, and his The Data Modeling Addict column years before that.

Data Governance 52

Data Governance Data Modeling Data Models Business Intelligence 52

Precisely

JANUARY 25, 2024

This article explores the nuances of mainframe optimization, outlining the drivers, common patterns, and key methods and tools for effective implementation. In the data replication pattern, information generally flows in one direction, from the mainframe to the cloud. Let’s examine each of these patterns in greater detail.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Project sponsors seek to empower more and better data-driven decisions and actions throughout their enterprise; they intend to expand their […].

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

AUGUST 17, 2021

With the ever-increasing variety of tool stacks, managing data has become more complex. The tool-stack needs to be managed along with the data that is either stored or processed by them. As we manage this disparate data actively, self-service business intelligence is possible. Further, this ideal state […].

Business Intelligence 52

Business Intelligence Business Intelligence Data Quality Data Governance 52

Pickl AI

OCTOBER 10, 2024

Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors. These tools enable seamless data integration across multiple sources, streamlining data workflows. What is Data Transformation?

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

The Data Administration Newsletter

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Data Lakes 69

Data Lakes Data Governance Big Data Big Data 69

Dataversity

JULY 31, 2023

Organizations are sitting on a mountain of data and untapped business intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Returning to the analogy, there have been significant changes to how we power cars.

Data Warehouse 58

Data Warehouse Data Engineering Data Engineering Data Engineering 58

ODSC - Open Data Science

JUNE 12, 2023

The Datamarts capability opens endless possibilities for organizations to achieve their data analytics goals on the Power BI platform. This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52

The Data Administration Newsletter

JUNE 14, 2022

Over the course of this column, I’ve cited a wide variety of sources regarding gender, technology, data, and more. As everyone begins to compile their summer reading lists, I offer a formal selection of books and articles to peruse in your office, on the beach, or wherever you seek to practice equality in data work. […].

Data Governance 52

Data Governance Big Data Big Data Business Intelligence 52

DagsHub

AUGUST 23, 2024

Image generated with Midjourney Organizations increasingly rely on data to make business decisions, develop strategies, or even make data or machine learning models their key product. As such, the quality of their data can make or break the success of the company. What is a data quality framework?

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Analytics 52

Analytics Analytics Data Silos Big Data 52

Mlearning.ai

FEBRUARY 16, 2023

Today, companies are facing a continual need to store tremendous volumes of data. The demand for information repositories enabling business intelligence and analytics is growing exponentially, giving birth to cloud solutions. Data warehousing is a vital constituent of any business intelligence operation.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

The Data Administration Newsletter

JANUARY 17, 2024

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

AI 122

AI AI Data Quality Data Governance 122

The Data Administration Newsletter

MARCH 20, 2024

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

ETL 105

ETL Data Governance Big Data Big Data 105

The Data Administration Newsletter

JUNE 19, 2024

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. Implementing effective guardrails for AI governance has become a major point of discussion, with a […]

AI 98

AI AI Data Governance Business Intelligence 98

The Data Administration Newsletter

JUNE 1, 2021

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

Data Governance 104

Data Governance Business Intelligence Business Intelligence 104

ODSC - Open Data Science

JANUARY 18, 2024

This means that not only do the proper infrastructures need to be created, and maintained, but data engineers will be at the forefront of data governance and access to ensure that no outside actors or black hats gain access which could spell compliance doom for any company. First, articles.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52