Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Dataversity

APRIL 30, 2021

The goal of digital transformation remains the same as ever – to become more data-driven. We have learned how to gain a competitive advantage by capturing business events in data. Events are data snap-shots of complex activity sourced from the web, customer systems, ERP transactions, social media, […].

Digital Transformation 246

Digital Transformation Digital Data Warehouse Data Governance 246

Smart Data Collective

JUNE 22, 2023

One such field is data labeling, where AI tools have emerged as indispensable assets. This process is important if you want to improve data quality especially for artificial intelligence purposes. This article will discuss the influence of artificial intelligence and machine learning in data labeling. trillion by 2032.

Artificial Intelligence 252

Artificial Intelligence Data Quality Big Data 252

Timo Elliott

SEPTEMBER 20, 2019

At the SAP UK Journey to the Top event this week, I presented a keynote on “How Data is Powering The Future of Business: Trends and Opportunities.”

Artificial Intelligence 197

Artificial Intelligence Data Quality Innovation Digital Transformation 197

Dataversity

JUNE 14, 2022

Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. We are living in turbulent times.

Data Governance 246

Data Governance Government Documentation Artificial Intelligence 246

Smart Data Collective

APRIL 30, 2021

As well as tracking the date and time of events, the author of any changes to the data you hold should be automatically logged. Ideally, this should be automated and happen at the moment an event or change occurs. Accurate logging systems.

Data Security 296

Data Security Healthcare Government Planning 296

Dataversity

JUNE 7, 2024

I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

Data Management 187

Data Management Data Governance Data Quality Data Architecture 187

Analysts Corner

OCTOBER 30, 2024

This section explores four main challenges: data quality, interpretability, generalizability, and ethical considerations, and discusses strategies for addressing each issue. Economic Volatility : Sudden changes in economic conditions, such as the 2008 financial crisis or the COVID-19 pandemic, can drastically alter patterns in data.

Data Quality 130

Data Quality Retail Finance Data Modelling 130

Astera

APRIL 23, 2024

To do so, they need data quality metrics relevant to their specific needs. Organizations use data quality metrics, also called data quality measurement metrics, to assess the different aspects, or dimensions, of data quality within a data system and measure the data quality against predefined standards and requirements.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Dataversity

NOVEMBER 11, 2024

The recent meltdown of 23andme and what might become of their DNA database got me thinking about this question: What happens to your data when a company goes bankrupt? This latest turn of events, which involves infighting between management and […] The post Ask a Data Ethicist: What Happens to Your Data When a Company Goes Bankrupt?

Data Governance 264

Data Governance Data Quality Government 264

Smart Data Collective

APRIL 29, 2020

The tool assigns the role of ‘data stewards’ in an organisation to manage master data. Data stewards can be managed internally, but the solution enforces business processes across the organisation. Profisee notices changes in data and assigns events within the systems. Custom applications can also be integrated.

Data Management 219

Data Management Data Warehouse Master Data Management Digital Transformation 219

Smart Data Collective

AUGUST 26, 2021

They provide a service to business owners to measure, classify, and interpret events that affect financial position, such as profit or loss from operations, gains or losses on investments, interest income, dividends received from stocks, and bonds owned by companies. This helps you create higher quality financial statements and forecasts.

Finance 250

Finance Banking Data Quality Documentation 250

Domo

NOVEMBER 9, 2023

For those who may not know, the Connections Tour is one of Domo’s key customer events (the other being Domopalooza ), where executives and technical staff share the latest Domo strategy and product updates in a roadshow format. Let’s dive right into it, with my top five observations about the event—and what they mean for customers everywhere!

Data Quality 119

Data Quality Government Innovation Data Management 119

Timo Elliott

JANUARY 5, 2022

The first one is: companies should invest more in improving their data quality before doing anything else. To make a big step forward with data science, you first need to do that painful work. Timo: We are already seeing the effects of extreme weather events. That’s an awful waste of resources.

Digital Transformation 289

Digital Transformation Chief Data Officer Innovation Digital 289

Tableau

APRIL 12, 2021

With data discovery as an important part of the cataloging experience, we want you to get the most relevant search results when looking for databases and tables in Tableau Server or Online. Our customers love data quality warnings, so we’ve also added a new feature based on a popular request! Starting with Tableau 2021.1,

Data Quality 52

Data Quality Monitoring Data Discovery Data Management 52

Dataversity

NOVEMBER 13, 2023

In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.

Government 173

Government Data Management Data Governance Data Quality 173

Dataversity

SEPTEMBER 23, 2022

Imagine you and a bunch of your colleagues are attending a networking event. The event is flooded with professionals from your field, […]. The post Why Data Governance Is Essential in the Current Business Landscape appeared first on DATAVERSITY.

Data Governance 130

Data Governance Government Data Quality Data Management 130

Dataversity

FEBRUARY 15, 2022

Good Data Governance is often the difference between an organization’s success and failure. And from a digital transformation standpoint, many view technologies like AI, robotics, and big data as being critical for helping companies and their boards to respond to events quicker than ever.

Digital Transformation 147

Digital Transformation Data Governance Government Digital 147

Dataversity

AUGUST 16, 2024

I was privileged to deliver a workshop at Enterprise Data World (EDW) 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event.

Data Management 130

Data Management Data Governance Government Master Data Management 130

Timo Elliott

DECEMBER 4, 2024

Yet concerns around data quality and security persist. The key is data readiness—flawed inputs will lead to flawed insights.” The event highlighted the challenges of navigating rapid technological evolution while maintaining operational stability. As Riordan noted, “The solution to every problem is not a RISE contract.

Artificial Intelligence 130

Artificial Intelligence Innovation Data Quality Planning 130

Sisense

OCTOBER 15, 2020

One of the main challenges when dealing with streaming data comes from performing stateful transformations for individual events. Unlike a batch processing job that runs within an isolated batch with clear start and end times, a stream processing job runs continuously on each event separately.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

Dataversity

JULY 29, 2022

Through this experience, I’ve had a few flashback analogies to Y2K: Leading up to the event, it was a period […]. The post The Trend Toward Emphasizing Data Minimization appeared first on DATAVERSITY.

Digital 130

Digital Data Governance Data Quality Data Security 130

Dataversity

JANUARY 5, 2022

However, the event made it clear that achieving carbon neutrality by 2030, or even keeping temperature change within 1.5°C, The post Carbon Neutrality Requires Good Data – and Blockchain appeared first on DATAVERSITY. C, won’t […].

Data Quality 130

Data Quality Data Security Data Management 130

Dataversity

SEPTEMBER 9, 2022

In today’s dynamic global marketplace, events outside of our control are constantly making the data we’ve collected erroneous and outdated. In those cases, relying on batch data might be preferable.

Real-time Data 130

Real-time Data Data Governance Data Quality Government 130

Domo

MAY 26, 2021

But the consensus among those I’ve talked to who are responsible for data management strategies at industry-leading enterprises is that the first step should involve one of the following: Data quality. It can be time consuming to manually track governance-related events. Definitions and naming conventions.

Data Governance 97

Data Governance Government Data Quality Innovation 97

Sisense

AUGUST 28, 2020

Uncomfortable truth incoming: Most people in your organization don’t think about the quality of their data from intake to production of insights. However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is.

Data Quality 101

Data Quality Data Security Data Architecture Agile 101

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters.

Data Governance 101

Data Governance Government Data Quality Change Management 101

Tableau

SEPTEMBER 23, 2021

Data privacy policy: We all have sensitive data—we need policy and guidelines if and when users access and share sensitive data. Data quality: Gone are the days of “data is data, and we just need more.” Now, data quality matters.

Data Governance 97

Data Governance Government Data Quality Change Management 97

Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc. The validation process should check the accuracy of the CCF.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

OCTOBER 12, 2023

The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. Furthermore, by providing real-time data health checks, the platform provides instant feedback on the data quality, enabling you to keep track of changes.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

AUGUST 12, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for financial data integration project, especially detecting fraud.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Tableau

DECEMBER 7, 2020

The chain of events triggered by the public health pandemic that dealt shockwaves like we’ve never seen are still reverberating today. Aside from investing in data skills, business leaders must also look into developing a more holistic data strategy as they increasingly incorporate data in their business processes.

Banking 98

Banking Embedded Analytics Agile Healthcare 98

Astera

FEBRUARY 9, 2024

The data is stored in different locations, such as local files, cloud storage, databases, etc. The data is updated at different frequencies, such as daily, weekly, monthly, etc. The data quality is inconsistent, such as missing values, errors, duplicates, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

JANUARY 24, 2024

Using them with APIs, you can create workflows and trigger events to share dat a between systems. Key Features of Astera It offers customized data quality rules so you can get to your required data faster and remove irrelevant entries more easily. It provides multiple security measures for data protection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52