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. To truly succeed in an increasingly data-driven world, organizations need data governance.

Data Governance 52

Data Governance Big Data Government Unstructured Data 52

Precisely

OCTOBER 5, 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.

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

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. SQL for data migration 2.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

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

Knowledge Hut

DECEMBER 13, 2023

The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Monte Carlo

MARCH 18, 2021

Today, you’ll be hard-pressed to find a company that doesn’t want to be seen as “data-driven” or “data-first.” Yet for most, data analytics is just a buzzword, not an innovative source of critical business value. Again, this is where a robust approach to data observability can help.

Data Governance 52

Data Governance Government Machine Learning Datasets 52