Precisely

JUNE 26, 2023

The key to success within all of these initiatives is high-integrity data. When business users base their decisions on trusted data, they achieve greater business agility and better results for the other four top objectives. Typically, businesses generate data in siloed applications.

Data Integration 52

Data Integration Data Cleanse Data Governance Data Programming 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

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

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

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

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 Pharmaceutical Manufacturing 52

AltexSoft

OCTOBER 30, 2021

ML models are designed by data scientists, but data engineers deploy those into production. They set up resources required by the model, create pipelines to connect them with data, manage computer resources, and monitor and configure the model’s performance. Managing data and metadata. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98