Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. cleansing, feature engineering, CDC reconciliation) or for stream analytics (e.g. General Purpose RTDW.

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Occam's Razor

DECEMBER 3, 2008

If you stick to web analytics your title might tap out at one of the titles mentioned above (say Sr. If you really want to have your Job Title grow a lot more then you'll have to gradually move to the world of Business Analytics (not web) and Business Intelligence roles in IT. 2| Business Individual Contributor.

Analytics 115

Analytics Consulting Metrics Reporting 115

Jet Global

JUNE 22, 2023

BI and analytics are both umbrella terms referring to a type of data insight software. Many providers use them interchangeably, but some use them in conjunction, claiming to offer both business intelligence and business analytics. One school of thought distinguishes BI and business analytics along these past/future lines.

Analytics 52

Analytics Business Intelligence Sales Reporting 52

Jet Global

SEPTEMBER 26, 2023

These statistics underscore the importance of addressing transparency issues, implementing effective data cleansing processes, and proactively closing the skills gap in SAP data management to ensure data reliability and effectiveness in decision-making.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

MAY 9, 2024

Through data visualization, summary statistics, data cleaning, and anomaly detection, data scientists can present a comprehensive understanding of the data’s structure and content. EDA is a crucial first step in any data science project, as it helps data scientists gain insights into the data and informs further analysis or modeling.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 18, 2024

Whisker charts are useful for identifying outliers, comparing distributions across groups, and visualizing data skewness, making them commonly used in fields like statistics, finance, and research to understand data spread and central tendency.

Dashboards 40

Dashboards Visualization Data Processing Sales 40