DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality 97

Data Quality Statistics Data Lake Visualization 97

AWS Big Data

MAY 23, 2024

Hundreds of thousands of organizations build data integration pipelines to extract and transform data. They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. We also show how to take action based on the data quality results.

Data Quality 101

Data Quality Metrics Data Lake Sales 101

Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

AWS Big Data

JUNE 6, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. Hundreds of thousands of customers use data lakes for analytics and ML to make data-driven business decisions.

Data Quality 82

Data Quality Data-driven Data Lake Metrics 82

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 64

Data Quality Analytics Machine Learning Visualization 64

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. The data science and AI teams are able to explore and use new data sources as they become available through Amazon DataZone.

IoT 100

IoT Machine Learning Metadata Data-driven 100

DataKitchen

AUGUST 16, 2024

At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data. Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata.

Marketing 124

Marketing Data Quality Testing Metadata 124

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections. 2 GB into the landing zone daily.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

AWS Big Data

JULY 13, 2023

Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices. Goals – Lay the foundation for a data platform that can be used in the future by internal and external stakeholders.

Optimization 95

Optimization B2B Data Quality Sales 95

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. With machine learning, the challenge isn’t writing the code; the algorithms are implemented in a number of well-known and highly optimized libraries.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Smart Data Collective

SEPTEMBER 21, 2021

Using data fabric also provides advanced analytics for market forecasting, product development, sale and marketing. Moreover, it is important to note that data fabric is not a one-time solution to fix data integration and management issues. Other important advantages of data fabric are as follows.

Management 131

Management Internet of Things Data Quality Data Integration 131

DataKitchen

MAY 10, 2021

Make sure the data and the artifacts that you create from data are correct before your customer sees them. It’s not about data quality . In governance, people sometimes perform manual data quality assessments. It’s not only about the data. Data Quality. Location Balance Tests.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

FEBRUARY 27, 2024

However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with. The Role of Data Journeys in RAG The underlying data must be meticulously managed throughout its journey for RAG to function optimally.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

OCTOBER 13, 2021

Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration? In improving operational processes.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

AWS Big Data

JULY 29, 2024

Despite their advantages, traditional data lake architectures often grapple with challenges such as understanding deviations from the most optimal state of the table over time, identifying issues in data pipelines, and monitoring a large number of tables. It is essential for optimizing read and write performance.

Metadata 118

Metadata Snapshot Data Lake Metrics 118

DataKitchen

DECEMBER 9, 2022

By providing real-time visibility into the performance and behavior of data-related systems, DataOps observability enables organizations to identify and address issues before they become critical, and to optimize their data-related workflows for maximum efficiency and effectiveness.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

BizAcuity

NOVEMBER 13, 2024

Challenges in Achieving Data-Driven Decision-Making While the benefits are clear, many organizations struggle to become fully data-driven. Challenges such as data silos, inconsistent data quality, and a lack of skilled personnel can create significant barriers.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

NOVEMBER 7, 2023

Side benefits include improved data quality, the ability to develop a centralized data retention policy, and improved security across data assets, Rudy says. Tips for success Those who’ve successfully broken down data silos suggest a few best practices for undertaking such initiatives.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

erwin

MAY 17, 2021

However, if we’ve learned anything, isn’t it that data governance is an ever-evolving, ever-changing tenet of modern business? We explored the bottlenecks and issues causing delays across the entire data value chain. Data governance provides visibility, automation, governance and collaboration for data democratization.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Data Lake Risk 145

CIO Business Intelligence

MAY 30, 2024

My advice to leaders is to identify areas with the largest potential and impact, assess the readiness of data, build or deploy existing solutions that leverage AI, and make sure you are rethinking how people will work differently with these new capabilities right from the beginning of your initiative.

Data Quality 104

Data Quality Key Performance Indicator Digital Transformation Management 104

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. However, effectively using data needs to be learned.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

JULY 20, 2023

Prior to the creation of the data lake, Orca’s data was distributed among various data silos, each owned by a different team with its own data pipelines and technology stack. Moreover, running advanced analytics and ML on disparate data sources proved challenging.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

erwin

FEBRUARY 4, 2021

Points of integration. Without an accurate, high-quality, real-time enterprise data pipeline, it will be difficult to uncover the necessary intelligence to make optimal business decisions. So what’s holding organizations back from fully using their data to make better, smarter business decisions? Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. From an operational standpoint, we designed a new shared responsibility model for data ingestion using AWS Glue instead of internal services (REST APIs) designed on Amazon EC2 to extract the data.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

CIO Business Intelligence

OCTOBER 22, 2024

A market in need of more interoperability Systems integrators and cloud services teams have stepped in to remedy some of multicloud’s interoperability hurdles, but the optimal solution is for public cloud providers to build APIs directly into the cloud stack layer, Gartner’s Nag says.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

Octopai

MAY 15, 2023

Here are some common cost areas where data lineage can be beneficial: Infrastructure and storage costs: Data lineage allows organizations to understand data usage patterns, access frequencies, and data dependencies. Data quality costs: Poor data quality can result in significant costs for organizations.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

JUNE 5, 2024

The data is feeding AI predictions around everything from the optimal batting lineup against a starting pitcher, and optimal defensive positioning against a given batter facing a given pitcher, to injury prediction.

Optimization 125

Optimization Predictive Modeling Data-driven Modeling 125

Wayne Yaddow

FEBRUARY 21, 2025

However, errors in transformations and conversions can propagate through entire data ecosystems, leading to inaccurate reports, flawed analytics, and broken downstream processes. This article presents two essential frameworks that guide teams in testing and validating data transformations and conversions.

Testing 52

Testing Data Transformation Data Quality Data Integration 52

DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand. Data engineers are unable to make these business judgments.

Testing 100

Testing Data Quality Cost-Benefit Metrics 100