TDAN

FEBRUARY 4, 2020

Back in 2017, I wrote an article titled There are No Facts … Without Data. It is time to revisit that topic. The overwhelmingly positive response to that article validated for me that most people believed my premise to be true. 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

Ontotext

MAY 30, 2019

He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

CIO Business Intelligence

MAY 20, 2022

That’s what some people asked of Adriana “Andi” Karaboutis, the former CIO of Dell who left the computer giant and was named National Grid’s global chief information and digital officer in 2017. Her answer? She gets to change the world. Adriana “Andi” Karaboutis. National Grid.

IT 95

IT Digital Transformation Internet of Things Data Architecture 95

Sanjeev Mohan

FEBRUARY 6, 2019

I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases. Fast forward to early 2017. Then in the middle of 2017, a realization set in that we were one year away from GDPR and needed to focus on data governance.

Data Analytics 49

Data Analytics Analytics Data Governance Experimentation 49

CIO Business Intelligence

JUNE 14, 2022

The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. Secure, efficient, and sustainable technology. The same bodies are also failing to attract top digital talent. Reaction to the UK’s new digital strategy. Pay and Notify.

Strategy 95

Strategy IT Digital Transformation Data Processing 95

Ontotext

MAY 30, 2019

He has been tasked with smuggling data – not in the 90s as the movie had it, but these days. It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

DataRobot Blog

APRIL 1, 2018

To achieve organization-wide data literacy, a new information management platform must emerge. This new platform will also serve many different use cases, including but not limited to analytics, application and data migrations, data monetization, and master data creation. . [1] Sallam | Cindi Howson | Carlie J.

Analytics 40

Analytics IoT Internet of Things B2B 40

Peter James Thomas

AUGUST 30, 2018

Based on Kaggle’s State of Data Science Survey 2017 (Sample size: 10,153). The text in the above exhibit is not that clear [2] , so here are the 20 top challenges [3] faced by those running Data Science teams in human-readable form: #. Did not instrument data useful for scientific analysis and decision-making.

Data Science 75

Data Science Data Quality Machine Learning Business Intelligence 75

Sisense

JANUARY 14, 2021

The Billie BI team has decided to share the code for their testing project to help other data teams using Sisense for Cloud Data Teams. “We We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan. joining the BI team at Billie in 2018.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

O'Reilly on Data

DECEMBER 19, 2018

Anomaly detection is well-known in the financial industry, where it’s frequently used to detect fraudulent transactions, but it can also be used to catch and fix data quality issues automatically. Data provenance and lineage isn’t just about the quality of the results; it’s a security and compliance issue.

Machine Learning 258

Machine Learning Software Metadata Testing 258

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. In an enterprise, there may be thousands of spreadsheets used for critical business decisions.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

Smarten

SEPTEMBER 6, 2019

’ 2017 has certainly proven this to be true, as businesses embrace the value of self-serve data preparation and analytics tools. Self-Serve Data Prep in Action.

Analytics 51

Analytics IT Business Intelligence Testing 51

bridgei2i

FEBRUARY 21, 2019

writes in an article titled “Applied AI in enterprise sales” that 70% of sales conversations happen over the phone (Voice data volume). Voice data quality). Acquiring voice data is a path of much less resistance when compared with having a salesperson fill in data into a system of record like the CRM (Voice data acquisition).

Sales 40

Sales Structured Data Forecasting Enterprise 40

Smarten

AUGUST 9, 2017

If your role in business demands that you stay abreast of changes in business analytics, you are probably familiar with the term Smart Data Discovery. You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L.

Analytics 40

Analytics IT Statistics ROI 40

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Alation

AUGUST 26, 2021

Data catalogs then integrate compliance at the point of consumption, so people are alerted to sensitive data where it lives. Source: “What’s Your Data Strategy?” HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. Data quality. Data governance.

Metadata 64

Metadata Data Governance Dashboards Software 64

Anmut

NOVEMBER 3, 2020

This means that while risky, collecting personal data is essential for many digital organisations who must take appropriate care in order to reap the rewards. Data’s seen as a sunk cost. Money spent on acquiring and storing data is difficult to recuperate. Obviously, the more accurate data is, the more valuable it is.

Management 52

Management ROI Metadata Data Quality 52

The Unofficial Google Data Science Blog

JULY 18, 2023

We normally have lots of labelers and items in our dataset, and priors give a form of regularization that better handles cases where data might be sparse and makes the model less prone to overfitting. We derive our measurement of data quality, ICC, from the variance parameters in the model.$$

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Lack of data, or data quality issues (silos).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66