TDAN

FEBRUARY 4, 2020

More money, more fun, more pleasure, more accomplishment, more intelligence, and yes, more data. More, more, more! We are culturally conditioned to want more. There is an idea that if we get more, we will be happier and more successful. The need for more fuels consumerism and business.

Big Data 72

Big Data Marketing Data Quality Data Strategy 72

TDAN

MAY 1, 2024

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title?

Metadata 52

Metadata Management Data Quality IT 52

TDAN

JUNE 18, 2019

The first step to fixing any problem is to understand that problem—this is a significant point of failure when it comes to data. Most organizations agree that they have data issues, categorized as data quality. However, this definition is […].

Data Quality 90

Data Quality Data Architecture IT Data Strategy 90

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. Mike is the author of two books and numerous articles. His Amazon author page

Technology 86

Technology Data-driven Machine Learning Sales 86

TDAN

SEPTEMBER 3, 2019

The currency of a data governance initiative is the data that will be involved in developing the appropriate operating framework for your organization. The point of implementing data governance is to enable an enterprise to readily access and use the information that makes their business run in a coherent and collective manner.

Data Governance 40

Data Governance Enterprise Data Quality Business Intelligence 40

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

TDAN

FEBRUARY 4, 2020

Back in 2017, I wrote an article titled There are No Facts … Without Data. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. It is time to revisit that topic. I was very thankful to see that. In this anti-fact world (watch cable news […].

Data Quality 59

Data Quality IT Data Governance Metadata 59

TDAN

APRIL 3, 2024

Acquiring an existing business can be an exceptional way to make your entrepreneurial dreams come to life — or even diversify your investment portfolio. But, unless you do your research well, you’re opening yourself up to a lot of unnecessary risk.

Risk 52

Risk Data Quality Data Governance Big Data 52

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

TDAN

FEBRUARY 14, 2023

Once upon a time (the way every good fairy tale begins), a book or a paper by a Ted Codd or Bill Inmon would set in motion a sea change that swept us all in a new direction. We no longer live in that world. We now live in a world in which everyone talks, […]

Data Quality 52

Data Quality Consulting Data Governance Business Intelligence 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

TDAN

MARCH 17, 2020

In this column I want to talk about data literacy, and not because it is the “buzzword de jour.” We’ve seen this before with data […]. By “buzzword de jour” I mean “bandwagon people are hopping on as the latest fad without necessarily actually understanding the thing they are talking about.” You know what I mean.

Data Quality 52

Data Quality IT Data Strategy Data Governance 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 Architecture / Infrastructure. Best practice has evolved in this area.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 57

Metadata Data Quality Machine Learning Statistics 57

Alation

JANUARY 25, 2022

This is a key component of active data governance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.

Metadata 52

Metadata IT Metrics Data-driven 52

Alation

MARCH 5, 2021

Data governance defines how data should be gathered and used within an organization. It address core questions, such as: How does the business define data? How accurate must the data be for use? Organizations have much to gain from learning about and implementing a data governance framework.

Data Governance 59

Data Governance Data Quality Dashboards Risk 59

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Peter James Thomas

AUGUST 2, 2019

Please post something in the comments section or contact us and we may even look to feature you in a future article. The Data & Analytics Dictionary will continue to be expanded in coming months. Another article from peterjamesthomas.com.

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Instead, what we really need is for our business to run at the speed of data. Source: [link] I will finish with three quotes.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

Data Architecture 63

Data Architecture Data Lake Machine Learning Data Governance 63