O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Data Quality and Standardization.

Marketing 362

Marketing Experimentation Metrics Testing 362

Smart Data Collective

SEPTEMBER 29, 2022

A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations. The benefits of big data cannot be overstated. One study by Think With Google shows that marketing leaders are 130% as likely to have a documented data strategy.

Data-driven 135

Data-driven Data Quality Optimization Insurance 135

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?

Data Quality 85

Data Quality Marketing IT 85

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

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

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

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? million each year.

Data Quality 68

Data Quality Data Governance People Analytics Data-driven 68

IBM Big Data Hub

AUGUST 2, 2023

However, analytics are only as good as the quality of the data, which aims to be error-free, trustworthy, and transparent. According to a Gartner report , poor data quality costs organizations an average of USD $12.9 What is data quality? Data quality is critical for data governance.

Data Quality 66

Data Quality Snapshot Data Governance Data-driven 66

Octopai

MARCH 23, 2022

But data powers decisions, applications, and actions across industrial and national lines. Data lineage tools give you exactly that kind of transparent, x-ray vision into your data quality. Data Supervision. Having the right data intelligence tools can be a make-or-break for data responsibility success.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

CIO Business Intelligence

MAY 3, 2022

As the 125-year-old company evolves to meet changing market needs, and as enabling technologies like AI and machine learning are added to the mix, this integrated and collaborative approach has changed how IT makes decisions about which digital solutions are right for Dow and the markets they serve, explains Chris Bruman, Dow’s Chief Data Officer.

Data Quality 95

Data Quality Machine Learning Business Objectives Business Intelligence 95

TDAN

MARCH 5, 2019

You know you can rule the quality of your data. Read on to learn simple but effective tips on how to make superb data quality possible. The bad news is: Low-quality data costs companies about $15 million per year, according to Gartner’s Data Quality Market Survey. So why don’t you?

Data Quality 40

Data Quality Marketing Data Governance Management 40

Alation

MARCH 2, 2023

This data about data is valuable. In fact, Gartner’s “Market Guide for Active Metadata Management” points to “ active metadata management ” as the key to continuous data analysis – which supports smarter human usage and more valuable insights. What Is Active Metadata Management?

Metadata 52

Metadata Marketing IT Data Quality 52

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

David Menninger's Analyst Perspectives

MARCH 21, 2023

It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics.

Analytics 144

Analytics Data Governance Data Quality Management 144

IBM Big Data Hub

JULY 6, 2020

Follow @IBMAnalytics. DataOps journey

Data Quality 96

Data Quality Marketing 96

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. billion in 2022.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

O'Reilly on Data

JUNE 18, 2019

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

MAY 2, 2023

But are product managers developing market- and customer-driven roadmaps and prioritized backlogs? Digital transformations derail when CIOs miss the opportunity to establish and communicate product management responsibilities for creating and evolving market- and customer-driven roadmaps.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

IBM Big Data Hub

APRIL 25, 2024

Early on, ecommerce marketing strategies touted the novelty of tax-free, online-only retailing that incentivized consumers to select an online channel both for convenience and better pricing options. Can the customer trust a business to make it easy to control their own data?

Strategy 87

Strategy Sales Marketing Consulting 87

Smart Data Collective

JANUARY 3, 2024

We have talked about how big data is beneficial for companies trying to improve efficiency. However, many companies don’t use big data effectively. In fact, only 13% are delivering on their data strategies. We have talked about the importance of data quality when you are running a data-driven business.

Data-driven 114

Data-driven Sales Big Data Data Quality 114

CIO Business Intelligence

APRIL 11, 2024

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. However, in the last two years, OCI has begun to attract more new customers of its own.”

Enterprise 124

Enterprise IT Data Processing Strategy 124

Smart Data Collective

DECEMBER 21, 2022

The Global BPO Business Analytics Market was worth nearly $17 billion last year. This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 112

Business Analytics Analytics Data Quality Big Data 112

Peter James Thomas

OCTOBER 30, 2018

Note: Not all of the organisations I have worked with or for have had a C-level Executive accountable primarily for Marketing. Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. The same goes in general for Marketing Managers.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

CIO Business Intelligence

SEPTEMBER 1, 2023

More usefully for enterprises, he also helped develop Dynamics 365 AI for Market Insights, a feature for Microsoft’s ERP and CRM platform that scans search data to provide enterprises with information about emerging trends in social interest and sentiment around their brands. Spoiler alert: it failed.)

IT 105

IT Reporting Forecasting Data Quality 105

CIO Business Intelligence

MAY 24, 2022

These specific connectivity integrations are meant to allow healthcare providers to have a 360-degree view of all their important data and run analytics on them to take faster decisions and reduce time to market, Informatica said.

Finance 140

Finance Management Metadata Data Quality 140

CIO Business Intelligence

JANUARY 24, 2024

Undervaluing unstructured data Much of the data organizations accumulate is unstructured, whether it’s text, video, audio, social media, images, or other formats. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

MARCH 18, 2024

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. One such company has built a tool that predicts customer intent and behavior based on previous interactions and other market data. And standing still is not an option.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

IBM Big Data Hub

JULY 25, 2023

The audience surveyed are those who are responsible for selecting, implementing and deriving value from Environmental, Social and Governance (ESG) reporting and data management applications. For more information about IBM Sustainability, please visit the IBM sustainability solutions.

Software 62

Software Reporting Management Data Quality 62

Octopai

AUGUST 8, 2023

.” The synergy between Octopai’s metadata management and Demand Chain AI’s intelligent algorithms promises to provide businesses with a comprehensive, granular understanding of their operations and market dynamics. Coupling our data experts, with this incredible solution, is a win-win for our clients.”

Digital Transformation 52

Digital Transformation Metadata Forecasting Data-driven 52

erwin

FEBRUARY 28, 2024

We have a strategic partnership with Microsoft and invest in certifications and knowledge on Microsoft’s data offerings. At the same time, when Microsoft does not have the best or right technology available, we scan the market for complementary technology, to ensure we have a solid, integrated, future-proof architecture.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Dataiku

DECEMBER 30, 2022

In helping organizations around the globe set up and implement their data science and AI strategies, we often hear teams say that they’re waiting to figure out their data first before beginning to generate value with advanced analytics and AI — whether they’re referring to data quality, data silos, or centralization in a data lake.

Data Lake 64

Data Lake IT Data Quality Data Science 64

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

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

erwin

APRIL 29, 2020

Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. Data Quality.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111