Dataconomy

MARCH 29, 2023

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

Dataconomy

MARCH 29, 2023

In an era where data is king, the ability to harness and manage it effectively can make or break a business. A comprehensive data governance strategy is the foundation upon which organizations can build trust with their customers, stay compliant with regulations, and drive informed decision-making. What is data governance?

Data Governance 70

Data Governance Data Analyst Data Quality Data Silos 70

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?

Database 105

Database Data Governance Data Quality 105

IBM Journey to AI blog

JANUARY 8, 2024

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

EDA 92

EDA Apache Kafka Clustering Data Governance 92

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.

Data Governance 59

Data Governance Big Data Big Data AI 59

DagsHub

AUGUST 23, 2024

As such, the quality of their data can make or break the success of the company. This article will guide you through the concept of a data quality framework, its essential components, and how to implement it effectively within your organization. What is a data quality framework?

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Precisely

FEBRUARY 14, 2023

Innovations like RPA may be the newest shiny objects, but their success is largely dependent on two things: the quality of the data that feeds automated processes, and the enrichment of this data to accelerate the automation process. If the data does validate the hail , the claim can be passed on to the next step in processing.

Data Quality 52

Data Quality Data Governance Algorithm AI 52

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. 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. The best part?

Data Governance 52

Data Governance DataOps Data Pipeline Business Intelligence 52

Precisely

SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous.

Data Governance 52

Data Governance Data Quality Machine Learning Machine Learning 52

Precisely

FEBRUARY 14, 2023

Innovations like RPA may be the newest shiny objects, but their success is largely dependent on two things: the quality of the data that feeds automated processes, and the enrichment of this data to accelerate the automation process. If the data does validate the hail , the claim can be passed on to the next step in processing.

Data Quality 52

Data Quality Data Governance Algorithm AI 52

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 52

Data Governance Data Quality Analytics Analytics 52

IBM Journey to AI blog

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema registry is essentially an agreement of the structure of your data within your Kafka environment. Provision an instance of Event Streams on IBM Cloud here.

Apache Kafka 116

Apache Kafka Clustering Data Quality Data Governance 116

Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

Data Quality 52

Data Quality ML ML Machine Learning 52

Dataconomy

SEPTEMBER 4, 2023

Diagnostic analytics: Diagnostic analytics goes a step further by analyzing historical data to determine why certain events occurred. By understanding the “why” behind past events, organizations can make informed decisions to prevent or replicate them.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Precisely

MAY 4, 2023

A broken data pipeline might bring operational systems to a halt, or it could cause executive dashboards to fail, reporting inaccurate KPIs to top management. Is your data governance structure up to the task? Read What Is Data Observability? The application of this concept to data is relatively new.

Data Observability 52

Data Observability Data Quality Data Pipeline Machine Learning 52

phData

OCTOBER 25, 2024

“Quality over Quantity” is a phrase we hear regularly in life, but when it comes to the world of data, we often fail to adhere to this rule. Data Quality Monitoring implements quality checks in operational data processes to ensure that the data meets pre-defined standards and business rules.

Data Quality 52

Data Quality Data Pipeline Data Governance Database 52

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Database Data Quality Data Classification 52

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Data Lakes Data Classification Data Quality 97

Precisely

JANUARY 17, 2023

As they do so, access to traditional and modern data sources is required. Poor data quality and information silos tend to emerge as early challenges. Customer data quality, for example, tends to erode very quickly as consumers experience various life changes.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Dataversity

JANUARY 26, 2024

As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount.

Internet of Things 142

Internet of Things Data Governance Data Quality 142

Precisely

OCTOBER 17, 2024

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! Users lacked trust in the company’s data, and were spending more time checking and cleaning it than analyzing it for better insights and decision-making.

Data Governance 69

Data Governance Data Quality Artificial Intelligence Artificial Intelligence 69

Precisely

DECEMBER 27, 2022

As 2022 wraps up, we would like to recap our top posts of the year in Data Integrity, Data Integration, Data Quality, Data Governance, Location Intelligence, SAP Automation, and how data affects specific industries. Let’s take a look! Let’s take a look at the Top 5 SAP Automation blog posts of 2022.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

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, […].

Data Pipeline 98

Data Pipeline Data Warehouse Data Governance Data Quality 98

Precisely

JUNE 22, 2023

In the past, the term “data quality” was typically used simply to describe the accuracy of business information. As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data.

Data Quality 52

Data Quality Data Governance Analytics Analytics 52

Precisely

FEBRUARY 6, 2023

Until recently, the business community has lacked a clear and consistent definition of data integrity. Many proposed definitions have focused primarily on the technical attributes surrounding data quality. Data integrity is not just about accuracy and consistency; it’s also about having rich context.

Data Governance 52

Data Governance Data Quality Machine Learning Machine Learning 52

Dataversity

AUGUST 16, 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 Governance 52

Data Governance AI AI Data Quality 52

The MLOps Blog

JUNE 27, 2023

Data quality control: Robust dataset labeling and annotation tools incorporate quality control mechanisms such as inter-annotator agreement analysis, review workflows, and data validation checks to ensure the accuracy and reliability of annotations. Data monitoring tools help monitor the quality of the data.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Alation

JUNE 9, 2023

The observations comprised a mix of classic (the power of people, data quality ), recent (architectures such as fabric and mesh ), and emerging (AI). Here are a few of the major takeaways that surfaced from the event. Make an Impact,” Pieter den Hamer, VP of AI, Gartner, set the tone for the event. Connect With Trust.

Analytics 52

Analytics Analytics Data Quality Data Governance 52

Precisely

NOVEMBER 13, 2024

When data is correct from the moment it enters into your system, you minimize downstream errors that can lead to costly consequences. Sustainability also means being prepared for significant events like mergers, acquisitions, or new product launches; your data infrastructure needs to be able to flex and scale as needed.

Data Silos 64

Data Silos Data Observability Data Governance Data Quality 64

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 Governance 75

Data Governance Data Quality 75

Precisely

JULY 13, 2023

By combining real-time weather data with policyholder information, they’re even able to preemptively notify their customers of an impending hurricane, hailstorm, or similar event. Data Integration eliminates those silos and unleashes the power of data across the entire organization.

Data Quality 52

Data Quality Data Governance Database 52

Pickl AI

NOVEMBER 4, 2024

Key Takeaways Data Engineering is vital for transforming raw data into actionable insights. Key components include data modelling, warehousing, pipelines, and integration. Effective data governance enhances quality and security throughout the data lifecycle. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

phData

AUGUST 5, 2024

Who should have access to sensitive data? How can my analysts discover where data is located? All of these questions describe a concept known as data governance. The Snowflake AI Data Cloud has built an entire blanket of features called Horizon, which tackles all of these questions and more.

Data Governance 52

Data Governance Data Quality Data Lakes ML 52

AWS Machine Learning Blog

NOVEMBER 7, 2024

Here you also have the data sources, processing pipelines, vector stores, and data governance mechanisms that allow tenants to securely discover, access, andthe data they need for their specific use case. At this point, you need to consider the use case and data isolation requirements.

AWS 110

AWS AI AI Machine Learning 110

Alation

MAY 19, 2022

Alation attended last week’s Gartner Data and Analytics Summit in London from May 9 – 11, 2022. Coming off the heels of Data Innovation Summit in Stockholm, it’s clear that in-person events are back with a vengeance, and we’re thrilled about it. Think about what data you can create. Data Governance.

Analytics 52

Analytics Analytics Data Governance Data Scientist 52

Precisely

JULY 1, 2024

This technique is used to determine shopping basket data analysis, product clustering, catalog design , and store layout. Read our eBook Data Governance 101: Moving Past Challenges to Operationalization Learn more about how an enterprise data governance solution can help you solve organizational challenges.

Data Mining 52

Data Mining Data Mining Data Mining Clustering 52

ODSC - Open Data Science

SEPTEMBER 27, 2023

Relational Databases Some key characteristics of relational databases are as follows: Data Structure: Relational databases store structured data in rows and columns, where data types and relationships are defined by a schema before data is inserted. Interested in attending an ODSC event?

Data Lakes 98

Data Lakes Data Warehouse Database Big Data 98