Precisely

JANUARY 15, 2024

When you delve into the intricacies of data quality, however, these two important pieces of the puzzle are distinctly different. 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.

Data Validation 114

Data Validation Database Business Intelligence Data Integration 114

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

MARCH 13, 2023

A common problem is “data governance for its own sake,” an approach that inevitably leads to limited results, unmet expectations, and poor return on investment. A Typical Data Governance Story Very often, initial data programs start out with a series of inquiries.

Data Governance 52

Data Governance Government Generalist Data 52

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. That can lead to bad decisions.

Data Governance 52

Data Governance Government Data Big Data 52

AltexSoft

OCTOBER 30, 2021

Regardless of the structure they eventually build, it’s usually composed of two types of specialists: builders, who use data in production, and analysts, who know how to make sense of data. Distinction between data scientists and engineers is similar. Data scientist’s responsibilities — Datasets and Models.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

Knowledge Hut

JANUARY 18, 2024

Data Engineer A professional who has expertise in data engineering and programming to collect and covert raw data and build systems that can be usable by the business. They also maintain these systems and datasets that are accessible and easily usable for further uses.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

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

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

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. In other words, making big pushes towards sustainable compliance. How can I avoid costly reworks due to manual errors?

Banking 64

Banking Data Integration Data Governance Government 64

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

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