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 92

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.

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Data Quality Data Governance Metrics Statistics 94

Jim Harris

APRIL 20, 2021

OCDQ Radio is an audio podcast about data quality and its related disciplines, produced and hosted by Jim Harris. Why does no one care about poor data quality? tolerance for poor data quality). tolerance for poor data quality).

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Data Quality Data Governance Data Processing Metrics 59

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.

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Data Quality Strategy Business Objectives Sales 79

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.

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Data Quality Measurement Metrics Dashboards 52

Andrew White

AUGUST 26, 2020

I spoke to a client recently who had this question: “I need help to develop a survey to ask our employees around the company how they regard the various subjective metrics tied to data quality.” I went on: What if the subjective measures all get scored or rated at 100%? ” The question got more curious.

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Data Quality Data Governance Metrics Measurement 52

Anmut

MARCH 22, 2023

This ultimately allows for more effective goal-setting, with targets determined according to both your data maturity right now and the desired stage you want to attain in the future. Why do we need data maturity models? A data maturity model helps your company measure its data and business health.

Measurement 52

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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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Data Quality Data Lake Visualization Data-driven 66

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

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Marketing Experimentation Metrics Testing 362

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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Data Quality Enterprise Business Intelligence Data Governance 56

IBM Big Data Hub

NOVEMBER 29, 2023

It automatically identifies vulnerable individual data points and introduces “noise” to obscure their specific information. Although adding noise slightly reduces output accuracy (this is the “cost” of differential privacy), it does not compromise utility or data quality compared to traditional data masking techniques.

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Metrics Machine Learning Risk Statistics 89

CIO Business Intelligence

APRIL 8, 2024

Jamie Capel-Davies, head of science and technical for ITF, says metrics don’t mean much if you can’t communicate them effectively in time to make use of them. One of the key things we were looking at was what were the most important metrics and how can they be communicated effectively,” he says.

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Analytics Broadcasting Predictive Analytics Metrics 118

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. Monitoring is another pillar of Data Journeys, extending down the stack. Moreover, cost monitoring ensures that your data operations stay within budget and that resources are used efficiently.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

Alation

FEBRUARY 14, 2023

From rebranding data governance in your organization to demonstrating real business impacts, there’s a lot you can do to bring everyone in your business on board. The role of monitoring, measuring, and metrics So, you’ve got the first step done; you’ve implemented data governance and everyone in your organization is on board.

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Data Governance ROI Metrics Cost-Benefit 52

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing? Lack of commitment.

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Data Governance Strategy Data Quality Metrics 96

DataKitchen

NOVEMBER 18, 2022

In addition to the tracking of relationships and quality metrics, DataOps Observability journeys allow users to establish baselines?concrete concrete expectations for run schedules, run durations, data quality, and upstream and downstream dependencies. Storing Run Data for Analysis.

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Testing Statistics Measurement Metrics 130

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.

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Measurement Digital Transformation KPI Metrics 141

InsightOut

FEBRUARY 2, 2024

This is where InsightOut steps in, offering e-commerce companies the tools they need to clean, analyze, and report on key data metrics. Let's explore how InsightOut is leading the way and revolutionizing the way e-commerce businesses leverage data. Pristine Data Cleansing For e-commerce, data quality is non-negotiable.

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CIO Business Intelligence

JUNE 9, 2023

A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 million per year.’” Beyond lost revenue, data quality issues can also result in wasted resources and a damaged reputation. Data management’s ROI Customers often ask me how to “make the case” for data management.

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Strategy Management Key Performance Indicator ROI 116

Juice Analytics

APRIL 6, 2021

At Juice, we are working everyday to create these habits and we wanted to share how we are building a data-first mindset and where we look for inspiration. Habit 1: Define shared metrics Data fluency requires getting everyone on the same page as to what matters most.

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Metrics Dashboards Data-driven Data Quality 119

CIO Business Intelligence

NOVEMBER 13, 2023

Inadequate data management and governance Data is at the heart of digital transformation, and companies that don’t have adequate data management processes in place are likely to struggle. Ensuring data quality, privacy, and security is essential.

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Digital Transformation Cost-Benefit Experimentation Measurement 143

DataKitchen

JUNE 7, 2021

Hopefully, with metrics in place, you can show measured improvements in productivity and quality that will win converts. DataOps includes four key objectives: Measure Your Process – As data professionals, we advocate for the benefits of data-driven decision making. Measure Your Process.

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Testing IT Measurement Data-driven 130

FineReport

MAY 31, 2023

Financial Performance Dashboard The financial performance dashboard provides a comprehensive overview of key metrics related to your balance sheet, shedding light on the efficiency of your capital expenditure.

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Dashboards Key Performance Indicator Metrics Visualization 52

AWS Big Data

FEBRUARY 29, 2024

Implement data privacy policies. Implement data quality by data type and source. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail. Link structured and unstructured datasets.

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Data Governance Unstructured Data Metadata Data Lake 91

O'Reilly on Data

MARCH 31, 2020

Measurement, tracking, and logging is less of a priority in enterprise software. Consumer product management is typically more bottom-up, driven by large volumes of user feedback and usage tracking data. It turns out that type of data infrastructure is also the foundation needed for building AI products.

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Management Machine Learning Experimentation Metrics 332

Alation

AUGUST 17, 2022

Data governance policy should be owned by the top of the organization so data governance is given appropriate attention — including defining what’s a potential risk and what is poor data quality.” It comes down to the question: What is the value of your data? Carefully navigate corporate politics.

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Data Governance Risk Data-driven Measurement 92

datapine

AUGUST 7, 2019

A SaaS dashboard consolidates and visualizes critical SaaS metrics, covering sales, marketing, finance, consumer support, management, and development to offer an unobstructed panoramic view of the SaaS business and achieve better business performance and profit. Data quality , speed, and consistency in one neat package. .

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Dashboards Management KPI Cost-Benefit 168

CIO Business Intelligence

NOVEMBER 22, 2022

As a result, a growing number of IT leaders are looking for data strategies that will allow them to manage the massive amounts of disparate data located in silos without introducing new risk and compliance challenges.

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Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Unlike ingestion processes, data can be transformed as per business rules before loading.

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Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

MARCH 24, 2023

Overcoming data challenges Despite their growing commitment to ESG, financial firms have learned the path to sustainability and prosperity can be rocky. “ESG ESG data quality is the biggest challenge. revenue growth from businesses showing a lower commitment to ESG.

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Risk Management Consulting Metrics Data Quality 52

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. Be data driven?" " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!].

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KPI Metrics Measurement ROI 124

datapine

MAY 21, 2019

This allows small businesses to connect all their data sources with the help of data connectors , and see beyond the numbers, discover new relationships and detect trends to take the guesswork out of important business decisions. 4) Businesses aren’t measuring the right indicators. Analyzing data from different data sources.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

DataRobot Blog

MAY 26, 2022

In the model-fitting procedure, the modeler is then able to measure the impact of each factor against the outcome. In contrast, many modern ML methods may combine data inputs in non-linear ways to produce outputs, making model explainability more difficult, yet necessary prior to productionization.

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Risk Modeling Metrics Business Objectives 52

DataRobot

APRIL 20, 2021

In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. Quality Input Means Quality Output. Trustworthy AI is built on a foundation of high-quality data.

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Measurement Visualization Advertising Metrics 52

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.

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Data Quality Data Lake Data-driven Metrics 72

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Accessible augmented analytics, allows you to transition your business users to the Citizen Data Scientist role to make better decisions, more quickly. So, what does all this mean to your business?

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Analytics Cost-Benefit Data Quality Consulting 40

FineReport

APRIL 9, 2024

By leveraging these insights, businesses can implement preemptive measures to mitigate risks effectively, safeguarding their operations against potential disruptions. Users should receive training on how to navigate the software, interpret data visualizations, and leverage advanced analytics capabilities to make informed decisions.

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