article thumbnail

How to Assess Data Quality Readiness for Modern Data Pipelines

Dataversity

For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough.

article thumbnail

Optimizing Data Quality to Navigate Economic Turbulence 

Dataversity

These initiatives may provide companies with short-term reprieve during times of disruption, […] The post Optimizing Data Quality to Navigate Economic Turbulence appeared first on DATAVERSITY.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Implement a Data Quality Framework

Dataversity

According to IDC, 30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed.

article thumbnail

Data Quality Dimensions Are Crucial for AI

Dataversity

As organizations digitize customer journeys, the implications of low-quality data are multiplied manyfold. Since the data from such processes is growing, data controls may not be strong enough to ensure the data is qualitative.

article thumbnail

How to Overcome the Pain Points of Your CRM

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.

article thumbnail

How Can Project Open Data Improve Data Quality?

Dataversity

Data is a valuable asset to the U.S. Project Open Data is a place where fostering collaboration and promoting improvement in open data policy is intended. This […] The post How Can Project Open Data Improve Data Quality?

article thumbnail

Data-Driven Companies Leverage OCR for Optimal Data Quality

Smart Data Collective

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. Each data point is linked to its reference.

article thumbnail

How to Improve Data Quality by Using Feedback Loops

Dataversity

In this blog, we will take a look at: The impact poor Data Quality has on organizations and practical advice for how to overcome this challenge through the use of feedback loops. Poor Data Quality can cost organizations millions each year.

article thumbnail

Preserving Data Quality is Critical for Leveraging Analytics with Amazon PPC

Smart Data Collective

Companies that utilize data analytics to make the most of their business model will have an easier time succeeding with Amazon. One of the best ways to create a profitable business model with Amazon involves using data analytics to optimize your PPC marketing strategy.

article thumbnail

When It Comes to Data Quality, Businesses Get Out What They Put In

Dataversity

The post When It Comes to Data Quality, Businesses Get Out What They Put In appeared first on DATAVERSITY. Imagine you’ve invited your boss over for a dinner party to try to show off your culinary skills (and perhaps get a promotion).

article thumbnail

Best Practices for a Marketing Database Cleanse

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.

article thumbnail

What to Expect in 2022: Data Privacy, Data Quality, and More

Dataversity

Three big shifts came this year, namely in the realms of consumer data privacy, the use of third-party cookies vs. first-party data, and the regulations and expectations […]. The post What to Expect in 2022: Data Privacy, Data Quality, and More appeared first on DATAVERSITY.

article thumbnail

How to Architect Data Quality on Snowflake

Dataversity

Without effective and comprehensive validation, a data warehouse becomes a data swamp. With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical.

article thumbnail

Data Trustability: The Bridge Between Data Quality and Data Observability

Dataversity

If data is the new oil, then high-quality data is the new black gold. Just like with oil, if you don’t have good data quality, you will not get very far. So, what can you do to ensure your data is up to par and […].

article thumbnail

Why Data Quality Problems Plague Most Organizations (and What to Do About It)

Dataversity

For business leaders to make informed decisions, they need high-quality data. Unfortunately, most organizations – across all industries – have Data Quality problems that are directly impacting their company’s performance.

article thumbnail

How to Overcome the Pain Points of Your CRM

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.

article thumbnail

Data Quality Best Practices to Discover the Hidden Potential of Dirty Data in Health Care

Dataversity

Dirty datadata that is inaccurate, incomplete, or inconsistent – costs the U.S. The post Data Quality Best Practices to Discover the Hidden Potential of Dirty Data in Health Care appeared first on DATAVERSITY.

article thumbnail

What I Learned from Executing Data Quality Projects

The Data Administration Newsletter

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 […].

article thumbnail

Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance

Dataversity

Organizations are constantly coming to us wanting help in becoming more “data-driven.” The post Being Data-Driven Means Embracing Data Quality and Consistency Through Data Governance appeared first on DATAVERSITY. Click to learn more about author Terence Siganakis.

article thumbnail

4 Key Takeaways for Your Data Quality Journey

Dataversity

The road to better Data Quality is a path most data-driven organizations are already on. The path becomes bumpy for organizations when stakeholders are constantly dealing with data that is either incomplete or inaccurate.

article thumbnail

Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

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.

article thumbnail

Why Synthetic Data Still Has a Data Quality Problem

Dataversity

According to Gartner, 85% of Data Science projects fail (and are predicted to do so through 2022). I suspect the failure rates are even higher, as more and more organizations today are trying to utilize the power of data to improve their services or create new revenue streams.

article thumbnail

Data Quality Problems Everywhere You Look

The Data Administration Newsletter

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?

article thumbnail

Data Quality Is In the Eye of the Beholder

The Data Administration Newsletter

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 […].

article thumbnail

Thoughts on Data Literacy & Data Quality

The Data Administration Newsletter

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

article thumbnail

Why B2B Contact and Account Data Management Is Critical to Your ROI

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.

article thumbnail

Good AI in 2021 Starts with Great Data Quality

Dataversity

The post Good AI in 2021 Starts with Great Data Quality appeared first on DATAVERSITY. Click here to learn more about Heine Krog Iversen. More and more companies want to use artificial intelligence (AI) in their organization to improve operations and performance.

article thumbnail

Data is Risky Business: Data Quality Discussion about Data Ethics

The Data Administration Newsletter

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?”

article thumbnail

Start Small and Scale Up with Data Profiling, Data Quality, and Data Governance

Dataversity

Organizations today are rallying business users around using data to make better business decisions. Business users want to know where that data lives, understand if people are accessing the right data at the right time, and be assured that the data is of high quality.

article thumbnail

Why Data Quality Matters

The Data Administration Newsletter

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.”

article thumbnail

Data Management’s Next Frontier is Machine Learning-Based Data Quality

The Data Administration Newsletter

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.

article thumbnail

Why Data Quality Programs Fail to Deliver Results

The Data Administration Newsletter

Fortune 1000 organizations spend approximately $5 billion in total each year to improve the trustworthiness of data. Yet, only 42% of the executives trust their data.

article thumbnail

Expanding Role of Data Governance, Metadata Management, and Data Quality

The Data Administration Newsletter

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

article thumbnail

Managing Data Quality in Healthcare

Astera

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. This approach also fosters a culture of data quality.

article thumbnail

What Is Data Quality?

Cprime

Data is often the most valuable asset for a company because it’s possible to use it in so many ways. You can use data to improve processes, gather insights, or predict trends through data analysis. What Is Data Quality? Why Does Data Quality Matter?

article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

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.