Knowledge Hut

MAY 9, 2024

Responsibilities A data scientist is responsible for identifying data sources, preprocessing data, building predictive models, and analyzing data systems for optimization. Average Annual Salary of Data Scientist The highest salary of data scientists can go beyond USD 200,000 if you have the required skills.

Data Science 52

Data Science Data Mining Data Architect Programming Language 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

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 Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

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. Then, they can get to data-driven analysis and decision-making faster.

Data Governance 69

Data Governance Government Metadata Data 69

Precisely

JANUARY 8, 2024

While the use cases for AI are many, you need to make sure that the data that trains your models has data integrity – maximum accuracy, consistency, and context – to produce the best results. But, only 46% rate the quality of their data as “high” or “very high.”

Insurance 64

Insurance Telecommunication Retail Data Integration 64

Precisely

OCTOBER 12, 2023

The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, surveyed more than 450 data and analytics professionals on the state of their data programs. In other words, making big pushes towards sustainable compliance.

Banking 64

Banking Data Integration Data Governance Government 64

Monte Carlo

MARCH 18, 2021

The team of teams need to work across several cross-functional teams to get data out of siloed ownership by implementing a common data acquisition framework, and introducing a standard data governance program. Again, this is where a robust approach to data observability can help.

Data Governance 52

Data Governance Government Machine Learning Datasets 52