Ontotext

MAY 26, 2021

They identify, match and merge data records referring to the same or a similar entity in multiple datasets and also identify entities that seem to be the same or similar but are not. How does the Gold Standard help Information Extraction from text? Then this sample set was used for fine-tuning the ML algorithms even further.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Corinium

FEBRUARY 3, 2020

Using data to inform business decisions only works when the data is correct. Unfortunately for the insurance industry’s data leaders, many data sources are riddled with inaccuracies. Data is the lifeblood of the insurance industry.

Insurance 221

Insurance Data Quality Risk Management 221

Smart Data Collective

SEPTEMBER 29, 2022

Every company deals with a certain number of documents on a daily basis: invoices, receipts, logistics, or HR documents… You have to keep these documents, extract the useful information for your business, and then integrate them manually into your database. The software extracts all the information in plain text in a TXT format.

Data-driven 136

Data-driven Data Quality Optimization Insurance 136

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 89

Data Quality Data Governance Data Lake Testing 89

CIO Business Intelligence

AUGUST 2, 2022

From an operational perspective, we also have to make investments in a smart grid, in smart meters, and in the way that we collect and send that information to our customers, so the grid becomes more of a self-healing network. The second is the data quality in our legacy systems. That’s one.

Data Quality 94

Data Quality Digital Transformation Machine Learning Predictive Analytics 94

AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

Data Quality 72

Data Quality Data Lake Data-driven Metrics 72

Ontotext

NOVEMBER 16, 2023

In the first part of this series of technological posts, we talked about what SHACL is and how you can set up validation for your data. Tacking the data quality issue — bit by bit or incrementally There are two main approaches to validating your data, which would be dependent on the specific implementation.

Data Quality 69

Data Quality Reporting Testing Technology 69

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

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

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

AWS Big Data

JUNE 6, 2023

In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities.

Data Quality 66

Data Quality Data Lake Visualization Data-driven 66

Octopai

MARCH 23, 2022

But even though “dirty meat” is a small concern, “dirty data” is the scourge of any industry that relies heavily on information systems. While “dirty data” doesn’t sound as threatening as “dirty meat” (after all, it’s your computer ingesting it, not you), don’t be deceived. Data Supervision. And today, who doesn’t?).

Data Quality 91

Data Quality Reporting Modeling Interactive 91

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 66

Data Quality Snapshot Data Governance Data-driven 66

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. and its leading data observability offerings.

Data Quality 57

Data Quality Metadata Data Governance Data-driven 57

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. Since this lets you keep information on the shape, it can be more useful than deleting it outright. Sometimes there is no room for error.

Data Quality 64

Data Quality Testing Reporting Metadata 64

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

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. CCgroup for insightsoftware. insightsoftware@ccgrouppr.com.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! The need for strict analytical accuracy and absolute, binding results is often overkill for what we really need and the idea of absolute accuracy can also be misleading, because that report you are waiting for may be out of date by the time you receive the information.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

David Menninger's Analyst Perspectives

MAY 13, 2021

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data.

Data Lake 244

Data Lake Data Quality Data Governance Management 244

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? I hope that you enjoy reading this blog post, but most important, I hope you always remember: “Data are friends, not food.” Data Silos. You, Data-Dude, takin’ on the defects.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

TDAN

DECEMBER 5, 2023

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean?[i] i] What is the actual business value of data and information? How do we manage data and information as assets? How can this value be measured?

Measurement 52

Measurement Management Data Quality Data Strategy 52

Grooper

MARCH 5, 2020

Information stewards are the critical link for organizations committed to innovation and maximizing the effective use of data. Haven’t heard the term “information steward” before? By solidifying your understanding of information stewardship, you ensure: Better use of internal resources. Lower cost data processes.

Data Lake 98

Data Lake Metadata Data Quality Software 98

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. Is My Model Still Accurate?

Testing 100

Testing Metrics Data Quality Dashboards 100

DataKitchen

FEBRUARY 27, 2024

This brings us to the crucial concept of a “Data Journey” — a comprehensive framework that ensures data quality from its inception to its final use in LLMs. This approach allows LLMs to pull in relevant data when needed, enriching the model’s responses more accurately and contextually.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

DataKitchen

MAY 10, 2024

The Second 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. Or did the schema change?

Data Quality 100

Data Quality Testing Software Dashboards 100

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

Timo Elliott

NOVEMBER 13, 2023

IT organizations have good excuses: it’s hard to build executive enthusiasm for something as seemingly plumbing-related as data quality. Generative AI increases the ROI you can get from clean data, and new Business Data Fabric approaches ( SAP Datasphere + strategic partnerships) are making it easier to achieve than ever.

Data Quality 113

Data Quality ROI IT Analytics 113

DataKitchen

NOVEMBER 10, 2023

Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team. Unregulated ETL/ELT Processes: The absence of stringent data quality tests in ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes further exacerbates the problem.

Data Quality 141

Data Quality Testing Data Lake Data Integration 141

IBM Big Data Hub

MAY 9, 2024

Understanding data governance in healthcare The need for a strong data governance framework is undeniable in any highly-regulated industry, but the healthcare industry is unique because it collects and processes massive amounts of personal data to make informed decisions about patient care. The consequence?

Data Governance 69

Data Governance Data Quality Insurance Predictive Analytics 69

IBM Big Data Hub

FEBRUARY 17, 2020

Imagine opening your mailbox and seeing a letter addressed to “current resident,” or having your financial institution’s AI powered digital assistant inform you that your replacement card is on its way to your old address.

Data Quality 93

Data Quality IT 93

TDAN

MARCH 20, 2024

In the realm of big data, ensuring the reliability and accuracy of data is crucial for making well-informed decisions and actionable insights. Data cleansing, the process of detecting and correcting errors and inconsistencies in datasets, is critical to maintaining data quality.

Big Data 52

Big Data Data Quality Management 52

David Menninger's Analyst Perspectives

MARCH 21, 2023

Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. 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.

Analytics 144

Analytics Data Governance Data Quality Management 144

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 320

Management Data Warehouse Data Quality Data Integration 320

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. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

TDAN

FEBRUARY 7, 2024

It seems to have impacted every area of information technology, so, I will try my best to do my part. However, when it comes to data curation and data quality management, there seems to […] By now, it is clear to everyone that AI, especially generative AI, is the only topic you’re allowed to write about.

Data Quality 52

Data Quality Management Technology IT 52