DataKitchen

SEPTEMBER 18, 2024

A DataOps Approach to Data Quality The Growing Complexity of Data Quality Data quality issues are widespread, affecting organizations across industries, from manufacturing to healthcare and financial services. 73% of data practitioners do not trust their data (IDC).

Scorecard 177

Scorecard Data Quality Measurement Testing 177

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

I previously explained that data observability software has become a critical component of data-driven decision-making. Data observability addresses one of the most significant impediments to generating value from data by providing an environment for monitoring the quality and reliability of data on a continual basis.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed. I/O validation.

Management 308

Management Machine Learning Metrics Modeling 308

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). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

MARCH 25, 2025

These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

DECEMBER 11, 2024

If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Primary among these is the need to ensure the data that will power their AI strategies is fit for purpose.

Risk 111

Risk Data Strategy Strategy Data Governance 111

Anmut

JANUARY 30, 2025

If quality is free, why isn't data? Crosby introduced a revolutionary concept: quality is free. Originally applied to manufacturing, this principle holds profound relevance in today’s data-driven world. How about data quality? What do we know about the cost of bad quality data?

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

Cloudera

NOVEMBER 13, 2024

We are excited to announce the acquisition of Octopai , a leading data lineage and catalog platform that provides data discovery and governance for enterprises to enhance their data-driven decision making.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

NOVEMBER 4, 2024

Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Cost, by comparison, ranks a distant 10th.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

erwin

JULY 22, 2020

Fostering organizational support for a data-driven culture might require a change in the organization’s culture. Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. As an example, E.ON

Data-driven 136

Data-driven Data Governance Digital Transformation Data Processing 136

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 300

Testing Machine Learning Consulting Data Quality 300

BizAcuity

NOVEMBER 13, 2024

In today’s data-rich environment, the challenge isn’t just collecting data but transforming it into actionable insights that drive strategic decisions. For organizations, this means adopting a data-driven approach—one that replaces gut instinct with factual evidence and predictive insights. What is BI Consulting?

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

OCTOBER 29, 2024

In 2018, I wrote an article asking, “Will your company be valued by its price-to-data ratio?” The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. Data theft leads to financial losses, reputational damage, and more.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

CIO Business Intelligence

NOVEMBER 11, 2024

In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations.

Risk Management 59

Risk Management Risk Management Data-driven 59

CIO Business Intelligence

JANUARY 9, 2025

It demands a robust foundation of consistent, high-quality data across all retail channels and systems. Enter Akeneo, a global leader in Product Experience Management (PXM) and AI tech stack solutions. AI has the power to revolutionise retail, but success hinges on the quality of the foundation it is built upon: data.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

AWS Big Data

AUGUST 15, 2024

Data quality is crucial in data pipelines because it directly impacts the validity of the business insights derived from the data. Today, many organizations use AWS Glue Data Quality to define and enforce data quality rules on their data at rest and in transit.

Data Quality 110

Data Quality Visualization Metadata Key Performance Indicator 110

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. Searching for data was the biggest time-sinking culprit followed by managing, analyzing and preparing data.

Management 144

Management Data Governance Cost-Benefit Metadata 144

CIO Business Intelligence

NOVEMBER 19, 2024

A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making. They are often unable to handle large, diverse data sets from multiple sources.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Machine Learning 140

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. Together, these capabilities enable terminal operators to enhance efficiency and competitiveness in an industry that is increasingly data driven.

IoT 107

IoT Machine Learning Metadata Data-driven 107

datapine

AUGUST 7, 2019

If you’re part of a growing SaaS company and are looking to accelerate your success, leveraging the power of data is the way to gain a real competitive edge. Data analysis like never before. With so much data available in the digital age , knowing what’s valuable and what’s redundant is essential to success.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

AWS Big Data

JUNE 6, 2023

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. It simplifies your experience of monitoring and evaluating the quality of your data.

Data Quality 89

Data Quality Metrics Data-driven Visualization 89

CIO Business Intelligence

OCTOBER 23, 2024

With person-centered care, the company works to foster independence, improve quality of life, and promote overall well-being for the individuals they serve. As such, the data on labor, occupancy, and engagement is extremely meaningful. You ’re building an enterprise data platform for the first time in Sevita’s history.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

Timo Elliott

DECEMBER 10, 2024

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.

Management 52

Management Data Governance Consulting Risk 52

CIO Business Intelligence

FEBRUARY 21, 2025

But because Article was growing so quickly, managing one of the largest student housing portfolios in the US, it needed to be more intentional about operational efficiency. Off-the-shelf solutions simply didnt offer the level of flexibility and integration we required to make real-time, data-driven decisions, she says.

Data-driven 116

Data-driven Measurement Reporting Technology 116

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake 92

Data Lake Data Warehouse Cost-Benefit Data Transformation 92

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 364

Marketing Experimentation Metrics Testing 364

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

SEPTEMBER 21, 2021

In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. According to Forrester’s reports, the rate of insight-driven businesses is growing at an average of 30% per year. Challenges in maintaining data. Advantages of data fabrication for data management.

Management 131

Management Internet of Things Data Quality Data Integration 131

Octopai

JULY 11, 2022

BAAAAAAAAD data. 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. Tie data quality directly to business objectives. Better data quality?

Data Quality 98

Data Quality Strategy Business Objectives Sales 98

CIO Business Intelligence

MARCH 9, 2022

Data-driven organizations understand that data, when analyzed, is a strategic asset. Organizations are expected to experience 30-40% data growth annually , which creates greater data protection responsibility and increases the data management burden. It’s the “new oil.” The challenge: There.

Data-driven 110

Data-driven Analytics Machine Learning Deep Learning 110

AWS Big Data

OCTOBER 9, 2024

Today, customers are embarking on data modernization programs by migrating on-premises data warehouses and data lakes to the AWS Cloud to take advantage of the scale and advanced analytical capabilities of the cloud. Data parity can help build confidence and trust with business users on the quality of migrated data.

Data Quality 104

Data Quality Data Lake Data Warehouse Metrics 104

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. .

Consulting 244

Consulting Testing Data Lake Data Quality 244

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110