DataFloq

MARCH 30, 2023

Why do data quality metrics matter? If you're in data, you're either currently working on a data quality project or you just wrapped one up. It's the law of bad data – there's always more of it. Data downtime is an effective data quality metric.

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Analytics Vidhya

JANUARY 20, 2023

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models.

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DataFloq

FEBRUARY 14, 2023

I like to think of data quality management within the context of physical fitness. No technology, including data observability , can act as a slimming belt toning your data quality while you lay back and relax. There is also a lot of bad data fitness advice.

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DataFloq

OCTOBER 24, 2022

Data is a vital element in business decision-making. Modern technologies and algorithms allow for processing and storage of huge amounts of data, converting it into useful predictions and insights. But they also require high-quality data to ensure prediction accuracy and insight value. In today's world, the importance of data quality validation is hard to overestimate. Great Expectations – A Data QA Tool of Choice.

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Advertiser: ZoomInfo

CRM software is a powerful tool when used correctly, yet another obstacle to a sales team’s efficiency when it’s not. Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

Data Quality

DataFloq

SEPTEMBER 5, 2022

With the internet producing quintillions of readily available information per day, you could be forgiven to think that data is losing its value. Virtually all companies making good in various niches are where they are because of data. Importance of data quality.

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DataFloq

JUNE 27, 2022

Last week, I was on a Zoom call with Lina, a Data Product Manager who oversees a data quality program for her organization. Her team is responsible for maintaining 1000s of data pipelines that populate many of the company's most business critical tables.

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DataFloq

MARCH 29, 2022

In light of these hurdles, data has proven to be critical to survival and growth. But, collecting data alone isn’t sufficient. It isn’t about quantity, it’s about quality. Data quality determines its value and potential benefits. Data As The Foundation For Success.

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DataFloq

APRIL 27, 2022

Fun fact – data cleansing is often ignored. Executives and decision-makers aren’t aware of data quality problems while mid-level managers and juniors find it irksome to tackle. Data cleansing starts with accepting there is a data quality problem.

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Data Quality Big Data Strategy Management 239

Corinium

JANUARY 13, 2020

Datacon Africa DataCon Africa Insights Data and AnalyticsIn the last decade regulatory requirements in financial services increased significantly.

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Data Quality Analytics 311

DataFloq

MARCH 28, 2022

Enhancing data quality using machine learning. Regardless of how accurate a data system you design, it yields poor results if the quality of data is bad. As part of their data strategy , a number of companies have begun to deploy machine learning solutions.

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Advertiser: ZoomInfo

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

Marketing

KDnuggets

MARCH 23, 2023

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. KDnuggets Originals Data EngineeringThese dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

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datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality.

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Data Quality Metrics Management ROI 239

DataFloq

JANUARY 29, 2023

Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing , anomaly detection, and cataloging are important steps, but technology alone will not solve your data quality problem.

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DataFloq

AUGUST 22, 2022

Every business collects data about their customers including their names and addresses, phone numbers, email addresses, order history and preferred payment modes. However, it isn't the amount of data collected that determines its usefulness but the quality of this data. If your data doesn't match high-quality standards, it could harm your business initiatives. Poor quality data can cost organizations up to $12.9 They aren't fabricating data.

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Data Quality Sales Statistics Risk 150

TDAN

MAY 4, 2022

Getting to great data quality need not be a blood sport! This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

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Advertiser: ZoomInfo

When used effectively, a CRM can be the life blood of your sales team – keeping everyone organized, efficient, and at peak productivity. Leveraging leading industry research from industry analysts, this eBook explores how your sales team can gain back valuable time.

Sales

DataFloq

MAY 26, 2020

The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity. That is only until they realized they overlooked or underestimated the key issues with data, IT infrastructure & integration plans.

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Data Quality IT Data Integration Risk 362

TDAN

AUGUST 31, 2021

Data is everywhere! But can you find the data you need? What can be done to ensure the quality of the data? How can you show the value of investing in data? Can you trust it when you get it?

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DataFloq

MAY 9, 2022

One of the most frequent questions I get from customers is: when does it make sense to invest in data quality and observability? The reality is that building a data platform is a multi-stage journey and data teams have to juggle dozens of competing priorities.

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DataFloq

AUGUST 18, 2022

If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if you don't have good data quality, you're not going to get very far. So, what can you do to make sure your data is up to par? Data lakes, Data pipelines, and Data Warehouses have become core to the modern enterprise. Once observability has been achieved, how can we be confident that the data within is trustworthy?

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Advertiser: ZoomInfo

In 2019, DiscoverOrg commissioned Forrester Consulting to evaluate sales and marketing intelligence practices in the B2B space. The primary takeaway? Forrester found only 1.2% of companies achieved a score indicating maturity in data management practices. However, organizations are fighting back - and winning.

Sales

DataFloq

MARCH 8, 2021

Data is the most valuable asset in the digital economy. Be it nurturing existing clients or expanding into new territories, data is the foundation on which new initiatives are built and execution is reviewed against. Data Ingestion. Big Data Technical

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DataFloq

JULY 17, 2020

This article was first posted on Towards Data Science.One of our customers recently posed this question:“I would like to set up an OKR for ourselves [the data team] around data availability. Big Data Strategy

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TDAN

MARCH 15, 2022

1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […].

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Data Quality Data Governance Business Intelligence Data Strategy 98

KDnuggets

JANUARY 12, 2023

Bad data costs organizations money, reputation, and time. Hence it is very important to monitor and validate data quality continuously. KDnuggets Originals Data Engineering

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Without high quality data that we can rely on, we cannot trust our data or launch powerful projects like personalization. In this white paper by Snowplow, you'll learn how to identify data quality problems and discover techniques for capturing complete, accurate data.

Data Quality

DataFloq

AUGUST 18, 2022

If data is the new oil, then high-quality data is the new black gold. Just like with actual oil, if you don't have good data quality, you're not going to get very far. So, what can you do to make sure your data is up to par? Data lakes, Data pipelines, and Data Warehouses have become core to the modern enterprise. Once observability has been achieved, how can we be confident that the data within is trustworthy?

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Data Quality Metadata Data Warehouse Data Lake 100

DataFloq

SEPTEMBER 27, 2021

Machine Learning has the tendency to evoke extreme reactions – some consider it a superpower while for others, machine learning is just another fad. That said, research has shown that 76% of enterprises have prioritized AI and Machine Learning initiatives over other IT projects.

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DataFloq

JANUARY 12, 2021

Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment. This is where data quality comes in. Big Data

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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.

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Advertiser: ZoomInfo

64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. Given data’s direct impact on marketing campaigns, reporting, and sales follow-up, maintaining an accurate and consistent database is a top priority for B2B organizations. This latest eBook aims to help marketing leaders understand the impact of data management on their company’s ROI.

ROI

TDAN

OCTOBER 18, 2022

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality.

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Data Quality Data Governance Data Strategy Strategy 52

DataKitchen

OCTOBER 19, 2021

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen. News News / PR

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Data Quality 246

TDAN

DECEMBER 14, 2021

The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the EMEA region through an innovative virtual conference format. One of these polls asked, “Are Data Ethics Principles Universal?”

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DataFloq

JULY 23, 2020

Data quality is top of mind for every data professional — and for good reason. Bad data costs companies valuable time, resources, and most of all, revenue. So why are so many of us struggling with trusting our data? The data landscape is constantly evolving, creating new opportunities for richer insights at every turn. Not surprisingly, one of the most common questions customers ask me is “what data tools do you recommend?”. Big Data Strategy

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Companies are expected to spend nearly $23 billion annually on AI by 2024. What could go wrong? This report explores AI obstacles, like inherent bias and data quality issues, and posits solutions by building a data culture.

Reporting

TDAN

JUNE 1, 2021

“Quality is never an accident. ” John Ruskin, prominent Victorian era social thinker Data-driven decision-making is fast becoming a critical business strategy for organizations in every sector. It is always the result of intelligent effort.”

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KDnuggets

OCTOBER 6, 2022

Join Lior Gavish, co-author and Monte Carlo co-founder, Oct 12 @ 1 PM ET, as he explores the latest in data quality techniques with a panel of some of the foremost experts.

Data Quality 69

Data Quality 69

TDAN

APRIL 5, 2022

Regardless of how accurate a data system is, it yields poor results if the quality of data is bad. As part of their data strategy, a number of companies have begun to deploy machine learning solutions.

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Data Quality Machine Learning Management Business Intelligence 98

DataFloq

APRIL 24, 2020

we all know, insurance is a customer centric industry and highly dependent on data. It would be fair to call data the foundation for the industry. Let’s find out how data quality can make or break your insurance business. Big Data

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Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS

Want to build your internal capability, reduce costs and make better decisions? It's easier than you think. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts.

IT