erwin

APRIL 4, 2019

Some other common data governance obstacles include: Questions about where to begin and how to prioritize which data streams to govern first. Issues regarding data quality and ownership. Concerns about data lineage. You can encourage feedback through surveys, workshops and open dialog.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Ontotext

FEBRUARY 19, 2020

The W3C has dedicated a special workshop to talk through the different approaches to building these big data structures. Clean your data to ensure data quality. Correct any data quality issues to make the data most applicable to your task.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Cloudera

SEPTEMBER 7, 2023

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

Insurance 81

Insurance Risk Data-driven Finance 81

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 84

Data Lake Data Governance Data Architecture Machine Learning 84

CDW Research Hub

NOVEMBER 29, 2021

By understanding these layers early in the IoT Workshop process, your team will have a better chance of adopting an IoT solution that not only sticks, but benefits your business. Data modeling: Modeling is necessary to normalize this data across all platforms and sensor groups. So, what are the six layers of IoT?

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

CDW Research Hub

AUGUST 12, 2020

For more information, watch our on-demand webinar to learn more about data governance and creating a data governance program for your organization, or speak to your Sirius representative. We also offer a Data Governance Workshop that shows you how to stand up a data governance program to manage your data as an organizational asset.

Data Governance 52

Data Governance Data-driven Dashboards Strategy 52

Alation

MAY 31, 2023

If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. This year’s DGIQ West will host tutorials, workshops, seminars, general conference sessions, and case studies for global data leaders.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

TDAN

JULY 16, 2019

The 2019 Data Governance and Information Quality (DGIQ) Conference ([link] hosted by Debtech International and DATAVERSITY, took place in San Diego, California from June 3-7, 2019 and this year’s event was another resounding success!

Data Governance 40

Data Governance Data Processing Data Quality Data Strategy 40

Jen Stirrup

NOVEMBER 15, 2022

The foundation should be well structured and have essential data quality measures, monitoring and good data engineering practices. Systems thinking helps the organization frame the problems in a way that provides actionable insights by considering the overall design, not just the data on its own.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Cloudera

NOVEMBER 15, 2021

Since learning with labeled data is known as supervised learning, methods that reduce the need for labels have names such as self-supervision, semi-supervision, weak-supervision, non-supervision, incidental-supervision, few-shot learning, and zero-shot learning. Data curation.

Unstructured Data 88

Unstructured Data Recreation/Entertainment Structured Data Reporting 88

IBM Big Data Hub

SEPTEMBER 7, 2022

Today, the Summer School has grown to include over 400 data leaders across 46 countries and nearly 25 industries. Do your data governance systems desperately need an overhaul or is your data visualization in need of a spruce up? Do you accept that data science takes a slight back seat while you improve the data quality?

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

CIO Business Intelligence

APRIL 25, 2022

Based in France, DataScientest offers training courses for data analysts, data scientists, data engineers, and data management. The hybrid courses combine coached e-learning with content from an SaaS platform, personalized master classes, coaching sessions, and workshops.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Depict Data Studio

MAY 12, 2020

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda is the Operations Director for the Data Visualization Society. COVID-19 Data Quality Issues. Amanda is also involved with DataViz DC.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

datapine

FEBRUARY 22, 2022

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

IBM Big Data Hub

SEPTEMBER 11, 2023

and quality (how does this impact service delivery, business process and data quality?). They also leverage ideas from design thinking workshops where platform users and stakeholders are encouraged to think big. frequency (how many occurrences?), time (how much time is lost?)

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

AWS Big Data

APRIL 25, 2023

We were already using other AWS services and learning about QuickSight when we hosted a Data Battle with AWS, a hybrid event for more than 230 Dafiti employees. This event had a hands-on approach with a workshop followed by a friendly QuickSight competition. Conclusion Choosing a data visualization tool is not a simple task.

Visualization 52

Visualization IT Data-driven Reporting 52

O'Reilly on Data

DECEMBER 12, 2019

Residual plots place input data and predictions into a two-dimensional visualization where influential outliers, data-quality problems, and other types of bugs often become plainly visible. Small residuals usually mean a model is right, and large residuals usually mean a model is wrong. If so, have fun debugging! [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Andrew White

JANUARY 11, 2021

where performance and data quality is imperative? Yes, there is a people, process, data and technology angle to D&A Governance. Since much of the work is siloed, there are entire markets focused on, for example, data privacy tools, data security tools, data quality tools and more.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

JULY 22, 2019

One is data quality, cleaning up data, the lack of labelled data. Again, talking about executives… In December last year, I was on a workshop for World Economic Forum. How many billions of dollars do they have to invest, and how efficient is that compared with the ones that have first-mover advantage?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109