Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

Precisely

JULY 17, 2023

A recent survey found that 77% of data and analytics professionals place data-driven decision-making as the leading goal for their data programs. And yet less than half (46%) rate their ability to trust data for decision-making as “high” or “very high.” Accurate, confident decision-making requires trusted data.

Data Integration 52

Data Integration Data Cleanse Data Governance Government 52

Precisely

OCTOBER 14, 2024

The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here! What are the latest data integrity trends you need to know about? How does your data program compare to your peers? The results are in!

Data Governance 69

Data Governance Data Integration Government Data Programming 69

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. AI drives the demand for data integrity.

Data Analytics 59

Data Analytics Data Governance Data Integration Government 59

Precisely

JUNE 22, 2023

As the financial services landscape has become more complex and sophisticated, the concept of data quality has evolved to imply a holistic approach that encompasses the overall trustworthiness of data. They have found ways to curate and manage data to instill confidence among decision-makers.

Data Integration 52

Data Integration Banking Data Governance Government 52

Precisely

AUGUST 3, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. Let’s explore more of the report’s findings around data program successes, challenges, influences, and more.

Data Integration 98

Data Integration Data Programming Programming Data 98

Precisely

MARCH 7, 2024

That, in a nutshell, is why data integrity is so important. You should view enterprise data integrity through the same lens. Precisely believes that “the whole truth” is essential to data integrity. 53% of respondents cited missing information as a critical challenge impacting data quality.

Insurance 52

Insurance Data Integration Transportation Data 52

Precisely

NOVEMBER 14, 2023

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

Data Governance 119

Data Governance Government Metadata Retail 119

Precisely

SEPTEMBER 6, 2024

Read These leading best practices for delivering transparency to your data retention policy, by critical data element, system, process, capability or however you would like to dimensionalize the level of data retention compliance across your organization.

Data Governance 64

Data Governance Government Consulting Data 64

Precisely

SEPTEMBER 6, 2023

According to a recent report from Drexel University’s LeBow Center for Business Analytics , 77% of data and analytics professionals say that data-driven decision-making is an important goal of data programs. However, fewer than half of survey respondents rate their trust in data as “high” or “very high.”

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Precisely

JANUARY 15, 2024

According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data & analytics professionals say that data-driven decision-making is a leading goal for their data programs. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

Data Validation 114

Data Validation Database Business Intelligence Data Integration 114

Precisely

SEPTEMBER 25, 2023

77% of data and analytics professionals say data-driven decision-making is the top goal for their data programs. Data-driven decision-making and initiatives are certainly in demand, but their success hinges on … well, the data that supports them. More specifically, the quality and integrity of that data.

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Food 52

Food Consulting Manufacturing Pharmaceutical 52

Precisely

MARCH 13, 2023

Despite that understanding, many organizations lack a clear framework for organizing, managing, and governing their valuable data assets. In many cases, that realization prompts executive leaders to create a data governance program within their company. That’s all well and good, provided such initiatives have a clear direction.

Data Governance 52

Data Governance Government Generalist Data 52

Precisely

FEBRUARY 8, 2024

Geo Addressing in Action: 3 Valuable Use Cases 77% of data and analytics professionals surveyed cite data-driven decision-making as the leading goal of their data programs. But 41% say poor address data quality is the top challenge to the effective use of location data for those decisions.

Insurance 59

Insurance Data Data Integration Big Data 59

Precisely

OCTOBER 19, 2023

According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

Telecommunication 64

Telecommunication Retail Transportation Insurance 64

Precisely

FEBRUARY 8, 2024

Geo Addressing in Action: 3 Valuable Use Cases 77% of data and analytics professionals surveyed cite data-driven decision-making as the leading goal of their data programs. But 41% say poor address data quality is the top challenge to the effective use of location data for those decisions.

Insurance 52

Insurance Data Data Integration Big Data 52

Precisely

OCTOBER 5, 2023

But what do you do with all that data? According to the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, 77% of data and analytics professionals say data-driven decision-making is the top goal of their data programs.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

Data Governance 52

Data Governance Government Data Big Data 52

Knowledge Hut

JANUARY 18, 2024

4 Purpose Utilize the derived findings and insights to make informed decisions The purpose of AI is to provide software capable enough to reason on the input provided and explain the output 5 Types of Data Different types of data can be used as input for the Data Science lifecycle.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

AltexSoft

OCTOBER 30, 2021

This is not a prerequisite for entering the job, but with a growing number of data science education programs, many active data scientists studied…data science. Linear regression, classification, and ranking are also machine learning tasks and are common in operating real-world data. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Ascend.io

NOVEMBER 14, 2023

They also sponsor skill-enhancement programs that focus on adoption by existing staff, and programs that reward internal champions and heroes. The Chief Data Officer on the other hand maintains the data groundwork upon which these AI initiatives thrive.

Pipeline-centric 52

Pipeline-centric Government Technology Data Pipeline 52

Monte Carlo

DECEMBER 7, 2022

And the data team’s work is no exception. “We We share our dbt code, our data models, our operational content, how we run our data program—all of it is available in our public-facing handbook,” said Rob. How the data capability model prepped GitLab for IPO Readying a company for an IPO is usually a hush-hush affair.

Building 52

Building Pipeline-centric Data Data Programming 52

Precisely

JANUARY 23, 2024

According to a 2023 survey by Drexel University’s LeBow College of Business , 77% of data and analytics professionals say that data-driven decision-making is a leading goal for their data programs. Yet fewer than half rate their ability to trust the data used for decision-making as “high” or “very high.”

Technology 69

Technology Data Governance Government Data Integration 69

Precisely

JANUARY 4, 2024

This was made resoundingly clear in the 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, which surveyed over 450 data and analytics professionals globally. 70% who struggle to trust their data say data quality is the biggest issue.

Data Governance 75

Data Governance Government Data Integration Data 75

Precisely

OCTOBER 12, 2023

The Need for Sustainable Compliance This swirl of macro trends has majorly impacted businesses in financial services and across industries – and the effects can be seen in data strategies. Doing so requires comprehensive data quality and data governance programs that help you clearly understand who you’re dealing with.

Banking 64

Banking Data Integration Data Governance Government 64

Precisely

SEPTEMBER 14, 2023

40% of data and analytics professionals report that their organizations have decreased staff/resources as a result of economic downturn, and 37% report a decrease in budget, according to the 2023 Data Integrity Insights and Trends Report , published in partnership between Precisely and Drexel University’s LeBow College of Business.

Data Integration 52

Data Integration Government Data Governance Programming 52

Precisely

JANUARY 16, 2024

The more mainstream it becomes, the more we see data governance being rolled into the categories of “active metadata management” and “augmented data quality”; it’s simply become an assumption that’s part of any data quality or excellence initiative. AI without data governance is a huge liability. What’s the quality?”

Data Governance 69

Data Governance Government Metadata Data 69

Precisely

JANUARY 8, 2024

Data Enrichment Produces Better Artificial Intelligence Results In 2023 the topic of artificial intelligence had the world buzzing, and there’s no questioning the fact that it’s already changing how businesses across industries operate. But, only 46% rate the quality of their data as “high” or “very high.”

Insurance 64

Insurance Telecommunication Retail Data Integration 64