Octopai

JULY 11, 2022

And when business users don’t complain, but you know the data isn’t good enough to make these types of calls wisely, that’s an even bigger problem. How are you, as a data quality evangelist (if you’re reading this post, that must describe you at least somewhat, right?), Tie data quality directly to business objectives.

Data Quality 79

Data Quality Strategy Business Objectives Sales 79

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

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

Octopai

MARCH 23, 2022

Data lineage tools give you exactly that kind of transparent, x-ray vision into your data quality. Data Supervision. This is why effective data management and governance requires actually appointing people to be data owners and data stewards. Everyone agrees that data quality is important.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

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

Ontotext

NOVEMBER 23, 2023

If there are any inconsistencies, the shapes will be rejected and you will receive a violation report. Data engineers think about “shapes” and “data” separately and treating shapes as data is an implementation detail. The next step is to get out there and challenge your data quality dragons.

Data Quality 69

Data Quality Reporting Metadata IT 69

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

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 65

Data Quality Snapshot Data Governance Data-driven 65

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. Access the full report here.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

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. About insightsoftware. CCgroup for insightsoftware.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

CIO Business Intelligence

MAY 3, 2022

On creating a data hub: We began looking at the need for a new approach into data quality and data governance for the company in late 2020. Instead of having someone work over a weekend to check the data during a ‘go-live’, in the future, we can provide a report that points out a few anomalies to validate.

Data Quality 96

Data Quality Machine Learning Business Objectives Business Intelligence 96

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

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! Consider the standard, restrictive concept of carefully gathering every piece of data, setting boundaries and giving requirements to IT or a data scientist and then waiting days or weeks to get a report.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

IBM Big Data Hub

JULY 25, 2023

Independent research firm Verdantix recently identified IBM as a leader in their report, “ Green Quadrant: ESG Reporting and Data Management Software ” (July 17, 2023), which evaluated and provided a detailed assessment of solution providers and their product offerings.

Software 61

Software Reporting Management Data Quality 61

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? A data profiling tool can help you by automating some of the grunt work needed to begin your analysis. You, Data-Dude, takin’ on the defects. Data Cleansing.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

David Menninger's Analyst Perspectives

MARCH 17, 2022

Organizations face various challenges with analytics and business intelligence processes, including data curation and modeling across disparate sources and data warehouses, maintaining data quality and ensuring security and governance.

Business Intelligence 204

Business Intelligence Data Warehouse Data Quality Dashboards 204

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

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. One reason the role may be misunderstood, the report says, is because it’s relatively new.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

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. Products should be ready-to-consume, easily accessible and responsive to the consumers’ needs.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

DataKitchen

MAY 10, 2024

The Third of Five Use Cases in Data Observability Data Evaluation: This involves evaluating and cleansing new datasets before being added to production. This process is critical as it ensures data quality from the onset. Examples include regular loading of CRM data and anomaly detection.

Testing 100

Testing Metrics Data Quality Dashboards 100

DataKitchen

MARCH 5, 2024

The False Calm Before the Storm A lack of reported problems doesn’t guarantee a smooth sail ahead. Yes, it was our fault, and the data was wrong for the past year.’ ’ The Business Imperative: Need for Accuracy Regardless of current error reports, your business depends on data accuracy for making informed decisions.

Data Quality 150

Data Quality Measurement Testing Data-driven 150

Alation

APRIL 27, 2022

In fact, 90% of organizations with top-tier data cultures either met or exceeded their revenue targets over the last 12 months. This was a key finding in the quarterly Alation State of Data Culture Report , which provides an assessment of the progress enterprises have made in creating a data culture.

Reporting 52

Reporting Data-driven Digital Transformation Data Governance 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

DataKitchen

MARCH 12, 2024

Data errors can cause compliance risks. Business users lose trust in the data and have an opportunity cost. Global Pharma Company Related Benefits Improve time to remediation. The DataKitchen platform not only makes this level of testing possible but also practical.”

Metrics 120

Metrics Software Cost-Benefit Testing 120

Alation

JUNE 30, 2021

Alation has been named one of the Leaders in the GigaOm Radar for Data Catalogs Report. The inaugural research report marks a growing recognition of the importance of the data catalog in an enterprise’s data ecosystem. Data culture springs from human collaboration and innovation. The Data Catalog Solution.

Reporting 52

Reporting Metadata Data-driven Marketing 52

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. Organizations are still investing in data and analytics functions. The mean reported budget among respondents was $5.41

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

CIO Business Intelligence

MAY 1, 2024

With millions of records to filter, comprising several terabytes (TB) of data, the IT team was hampered with processes that were manual and repetitive. The poor data quality distorted findings and compromised real-time decisions, as well as created unpredictable scenarios that had to be remedied one at a time.

Digital Transformation 104

Digital Transformation Enterprise Data-driven Software 104

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. The enterprise data management vendor reported a total revenue of $1.5 billion in 2022.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

InsightOut

FEBRUARY 16, 2024

In today's data-driven world, mid-sized companies are increasingly recognizing the pivotal role that clean, accurate, and organized data plays in driving strategic decisions, enhancing operational efficiency, and fostering growth. This bespoke approach ensures that every company maximizes the value of its data.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

InsightOut

FEBRUARY 16, 2024

In today's data-driven world, mid-sized companies are increasingly recognizing the pivotal role that clean, accurate, and organized data plays in driving strategic decisions, enhancing operational efficiency, and fostering growth. This bespoke approach ensures that every company maximizes the value of its data.

Data Quality 52

Data Quality Data-driven Data Governance Measurement 52

CIO Business Intelligence

MAY 2, 2023

And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

CIO Business Intelligence

MAY 1, 2024

With millions of records to filter, comprising several terabytes (TB) of data, the IT team was hampered with processes that were manual and repetitive. The poor data quality distorted findings and compromised real-time decisions, as well as created unpredictable scenarios that had to be remedied one at a time.

Digital Transformation 85

Digital Transformation Enterprise Data-driven Software 85

CIO Business Intelligence

APRIL 25, 2024

So the social media giant launched a generative AI journey and is now reporting the results of its experience leveraging Microsoft’s Azure OpenAI Service. Without automated evaluation, LinkedIn reports that “engineers are left eye-balling results and testing on a limited set of examples and having a more than a 1+ day delay to know metrics.”

IT 139

IT Experimentation Cost-Benefit Metrics 139

CIO Business Intelligence

MAY 8, 2024

AI-powered data integration tools leverage advanced algorithms and predictive analytics to automate and streamline the data integration process. According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52