AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

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Data Quality Statistics Data Lake Visualization 95

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

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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. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

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AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

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Data Quality Metrics Visualization Dashboards 72

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.

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Metrics Software Cost-Benefit Testing 117

Smart Data Collective

SEPTEMBER 29, 2022

One of the newest ways data-driven companies are collecting data is through the use of OCR. What is OCR and How do Data-Driven Companies Use it? Optical Character Recognition, or OCR, is a technology for reading documents and extracting data. The software extracts all the information in plain text in a TXT format.

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DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

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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.

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FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

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Business Intelligence Software Data-driven Predictive Modeling 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.,

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Data Quality Cost-Benefit Consulting Dashboards 77

DataKitchen

MAY 10, 2024

This blog post explores the challenges and solutions associated with data ingestion monitoring, focusing on the unique capabilities of DataKitchen’s Open Source Data Observability software. This process is critical as it ensures data quality from the onset. Does The Data Conformity To Predefined Values?

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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.

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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.

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DataKitchen

APRIL 11, 2024

He detailed data teams’ everyday challenges, such as balancing speed and quality, and the impact of Agile methodologies borrowed from software development practices. He linked these expectations to the evolution of Agile software development and highlighted similar trends in data operations.

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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? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

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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.

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Jim Harris

JANUARY 1, 2016

1 — Investigate Data quality is not exactly a riddle wrapped in a mystery inside an enigma. However, understanding your data is essential to using it effectively and improving its quality. In order for you to make sense of those data elements, you require business context.

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Data Quality Data Governance Cost-Benefit ROI 61

Ontotext

MAY 26, 2021

Evaluation is for AI systems what quality assurance (QA) is for software systems. The post The Gold Standard – The Key to Information Extraction and Data Quality Control appeared first on Ontotext. Evaluation as well requires a trusted reference, which is again the Gold Standard. Atanas Kiryakov, CEO at Ontotext.

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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.

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David Menninger's Analyst Perspectives

MARCH 21, 2023

However, every organization faces challenges with data management and analytics. And as organizations scale, the complexity only increases, creating a need for better data governance, data quality and streamlined and automated processes.

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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’ (..)

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Testing Data-driven Metrics Data Quality 117

Jedox

NOVEMBER 7, 2019

In this blog, we’ll examine what to consider when choosing a software consolidation solution for your organization. Automating consolidation processes such as data preparation and consolidation measures can significantly reduce manual intervention and shorten process times. From data collection to reporting.

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datapine

JANUARY 24, 2021

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. Your Chance: Want to perform advanced data analysis with a few clicks? 3) Where will your data come from?

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CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

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erwin

MAY 18, 2022

First, erwin Data Intelligence 12.0 delivers new integrated data quality capabilities for customers. Customers then use the erwin Data Quality platform to automate the data discovery, profiling and quality assessment of their data sources. Figure 1: erwin Data Intelligence 12.0

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Data Quality Metadata Data Governance Software 52

CIO Business Intelligence

APRIL 25, 2024

For LinkedIn, this was no different, as its road to LLM insights was anything but smooth, said LinkedIn’s Juan Bottaro, a principal software engineer and tech lead. Data quality Part of the struggle LinkedIn experienced with its job match effort boils down to a data quality issue from both sides: employers and potential employees.

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IT Experimentation Cost-Benefit Metrics 135

Smarten

MAY 13, 2022

‘Providing mobile access to Tally ERP allows users to leverage a familiar software solution to perform tasks and combines that access with new, value-added tools for augmented analytics.’. Is accessible as a ready-to-use software as a service (SaaS) app with no on-premises installation, development or training required.

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Analytics Cost-Benefit Finance Data Quality 76

DataKitchen

OCTOBER 20, 2023

Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap. Such an instance answers the critical question of ‘Dude, Where is my data?’ ’ while maintaining operational efficiency and ensuring data quality—thus preserving customer satisfaction and the team’s credibility.

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CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Your data governance program needs to continually break down new siloes.

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CIO Business Intelligence

MAY 24, 2022

In order to help maintain data privacy while validating and standardizing data for use, the IDMC platform offers a Data Quality Accelerator for Crisis Response. Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry

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Jet Global

AUGUST 28, 2023

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. –

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Dashboards Visualization Finance Data Quality 75

CIO Business Intelligence

DECEMBER 8, 2023

Chatbots may assign service tickets incorrectly, describe a problem inaccurately, or disrupt workflows and lead to significant systemic issues—causing data breaches or misallocation of vital resources—that then require human intervention. Software copilots are fantastic, but you want to read and understand what they give you,” Smith says.

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Risk Finance Data Quality Modeling 117

O'Reilly on Data

JULY 28, 2020

As with traditional software, the best way to achieve your goals is to put something out there and iterate. Unlike traditional software development, in which the inputs and results are often deterministic, the AI development cycle is probabilistic. This is particularly true for AI products. Deployment. Monitoring.

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DataKitchen

JUNE 19, 2023

Another way to look at the five pillars is to see them in the context of a typical complex data estate. Data Journeys run on software, on servers, and with code. Using automated data validation tests, you can ensure that the data stored within your systems is accurate, complete, consistent, and relevant to the problem at hand.

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Testing Cost-Benefit Metrics Data Quality 130

DataKitchen

AUGUST 3, 2021

The data mesh addresses the problems characteristic of large, complex, monolithic data architectures by dividing the system into discrete domains that are managed by smaller, cross-functional teams. The domain includes data, code, workflows, a team, and a technical environment.

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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.

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Machine Learning Data Quality Statistics Modeling 264

CIO Business Intelligence

MAY 1, 2024

In particular, the company had to integrate billing data from SAP S/4HANA, an enterprise resource planning software designed specifically for large enterprises, with SAP Billing and Revenue Innovation Management (BRIM) and replicate the information to Google BigQuery, a fully managed, AI-ready data analytics platform.

Digital Transformation 59

Digital Transformation Enterprise Data-driven Software 59