Dataiku

MARCH 19, 2024

Its ability to create synthetic data promises exciting possibilities for data augmentation and improved model performance. But for data scientists working with private company data , a question remains: Does Generative AI render traditional data quality practices obsolete?

Data Quality 80

Data Quality Data Science Modeling IT 80

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

AUGUST 2, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, and improve productivity. However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. What is data quality? Data quality is critical for data governance.

Data Quality 65

Data Quality Snapshot Data Governance Data-driven 65

CIO Business Intelligence

APRIL 4, 2024

Leveraging expertise at software developer Palantir Technologies, Redmond’s team developed a model that consolidated and cleansed the data from those systems, then analyzed it to provide insights — and fairly sophisticated recommendations — to decision makers. It can be faster, more accurate, and make the teams more productive.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Smart Data Collective

APRIL 20, 2022

However, conversion rates aren’t nearly that high for companies that have just started marketing their products on Amazon with the internal PPC platform. It takes a lot of split-testing and data collection to optimize your strategy to approach these types of conversion rates. However, it is important to make sure the data is reliable.

Data Quality 117

Data Quality Analytics Testing Sales 117

KDnuggets

OCTOBER 6, 2022

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

Data Quality 84

Data Quality 84

Dataiku

SEPTEMBER 28, 2021

Today, more than 90% of AI practitioners experience significant cascading data errors , and poor data quality is estimated to cost companies 20% of revenue. The bottom line: bad data is ubiquitous and costly, and it also reduces organizations’ overall AI productivity.

Data Quality 119

Data Quality IT 119

Dataiku

AUGUST 15, 2023

Let's face the reality: Data quality , despite its paramount importance, is often unloved and undervalued in many organizations. It is seen as excessively technical, demands a great deal of tedious effort and time to manage and, ultimately, leads to a lack of enthusiasm for taking up this crucial responsibility.

Data Quality 52

Data Quality Management IT 52

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 Quality 52

Data Quality Data Architecture Strategy Data Lake 52

TDAN

DECEMBER 19, 2023

One of the reasons why there’s always excess production in the textile sector is the stringent requirement of meeting set quality standards. As far as healthcare is concerned, surprisingly, only two out of five health executives believe they receive healthy data through […]

Data Quality 52

Data Quality IT 52

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

Octopai

JULY 11, 2022

Okay, maybe “less-than-stellar-quality” data, if you want to be PC about it. But you see the “way-less-than-stellar” impact this data is having on your ostensibly data-driven organization. On business-critical questions like: Which product line should we invest in – or adjust – or market differently?

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

Dataiku

SEPTEMBER 13, 2023

In this blog , David Talaga (Product Marketing at Dataiku) explains that shopping in a supermarket could be similar to searching for the best data product for your use case. As a data analyst, the same mechanism applies to the data products you are looking for: Can I trust it? Where does it come from?

Data Quality 85

Data Quality Marketing IT 85

Octopai

MARCH 23, 2022

Dirty Meat… and Dirty Data. What caused the atrocious quality issues in the meatpacking industry pre-1906? Mass production. Data Transparency. If consumers or their representatives would be able to trace the production process all the way “ from hoof to can ,” as President Theodore Roosevelt put it, the jig would be up.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. That data is never as stable as we’d like to think.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality?

Data Quality 68

Data Quality Data Governance People Analytics Data-driven 68

Dataiku

MARCH 31, 2022

Poor data quality is troublesome for a myriad of reasons, from analyst productivity lost, to bad reporting and decision making, to potential negative impacts on revenue.

Data Quality 64

Data Quality Enterprise Reporting IT 64

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 67

Data Quality Data Lake Visualization Data-driven 67

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Metadata Testing Data Governance 52

TDAN

SEPTEMBER 5, 2023

The role of data products has become pivotal, driving organizations towards insightful decision-making and competitive advantage. However, ensuring the achievement of these data products demands the strategic integration of Non-Invasive Data Governance (NIDG).

Data Governance 52

Data Governance Data Quality Data Strategy Strategy 52

Dataiku

JULY 25, 2023

In a survey of 400 global data leaders , nearly a quarter of respondents (24%) cited a “lack of quality data or ability to easily access the right data” as their most present barrier to delivering more value from analytics and AI.

Data Quality 52

Data Quality Analytics 52

Jim Harris

JANUARY 1, 2018

The Chicken Littles of Data Quality use sound bites like “data quality problems cost businesses more than $600 billion a year!” or “poor data quality costs organizations 35% of their revenue!” Furthermore, the reason that citing specific examples of poor data quality (e.g.,

Data Quality 77

Data Quality Cost-Benefit Consulting Dashboards 77

Jet Global

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. Learn more at insightsoftware.com. Media Contacts. Ashley Yakopec.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

Anmut

JULY 12, 2021

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

Octopai

OCTOBER 26, 2022

DataOps is an approach to best practices for data management that increases the quantity of data analytics products a data team can develop and deploy in a given time while drastically improving the level of data quality. SPC tests can do the same thing for the data flowing through your pipelines.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. DataKitchen Customer Quotes “.

Metrics 120

Metrics Software Cost-Benefit Testing 120

Alation

DECEMBER 6, 2022

Today I’m thrilled to share that we’ve added two new, seasoned leaders to the Alation Product Team. Diby Malakar – VP Product Management, Cloud & Technical Metadata Platform. Diby joins us from Confluent, where he was one of their product leaders during their hyper-growth phase through IPO.

Metadata 52

Metadata Enterprise Data Integration Data Quality 52

IBM Big Data Hub

JUNE 2, 2020

The integrity and trustworthiness of data or any other master entity is enforced via data quality rules. Customers no longer want to rely on hand crafted rules that can number in the thousands, which in turn also need a lot of maintenance.

Machine Learning 96

Machine Learning Data Quality 96

DataKitchen

APRIL 11, 2024

DataOps and Its Benefits: The concept of DataOps was introduced, drawing parallels with DevOps in terms of its emphasis on automation, continuous integration, and providing a high-quality data production pipeline. The goal is to reduce errors and operational overhead, allowing data teams to focus on delivering value.

Statistics 157

Statistics Manufacturing Data Processing Data Quality 157

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

DataKitchen

DECEMBER 7, 2023

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better.

Uncertainty 130

Uncertainty Data Quality Dashboards Analytics 130

DataKitchen

JUNE 19, 2023

DataOps TestGen delivers simple, fast data quality test generation and execution. DataOps TestGen profiles your data and algorithmically generates dozens of data validations. Your Data Journey starts with verifying that you can trust your data and re-verifying it every time you refresh it in production.

Data Quality 130

Data Quality Testing IT 130

DataKitchen

FEBRUARY 23, 2024

Webinar: Beyond Data Observability: Personalization DataKitchen DataOps Observability Problem Statement White Paper: ‘Taming Chaos’ Technical Product Overview Four-minute online demo Detailed Product: Documentation Webinar: Data Observability Demo Day DataKitchen DataOps TestGen Problem Statement White Paper: ‘Mystery Box Full Of Data Errors’ (..)

Testing 120

Testing Data-driven Metrics Data Quality 120