Business Analytics Data Warehouse Forecasting Modeling 
IBM Big Data Hub
SEPTEMBER 19, 2023
Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.
Jet Global
OCTOBER 22, 2020
The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common. OLAP Cubes vs. Tabular Models.
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datapine
NOVEMBER 11, 2021
Having flexible data integration is another important feature you should look for when investing in BI software for your business. The tool you choose should provide you with different storage options for your data such as a remote connection or being stored in a data warehouse. c) Join Data Sources.
datapine
AUGUST 29, 2022
Data Smart’ contains enough practical knowledge to actually start performing analyses by using good old Microsoft Excel. Best for: the seasoned BI professional who is ready to think deep and hard about important issues in data analytics and big data. The subsequent chapters focus on predictive and descriptive analysis.
Jet Global
SEPTEMBER 22, 2022
What if modeling gives you the ability to not just have a plan A, but also to evaluate plan B, plan C, plan D, and more. Scenario planning also adds to the accuracy of forecasting, with 54 percent of scenario planners able to forecast to within plus or minus five percent of earnings and revenue. Automated workflows.
Jet Global
MAY 9, 2024
The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.
Jet Global
AUGUST 31, 2022
BEPS already requires that companies itemize their revenues by country, and as taxation bodies develop more sophisticated models that compare BEPS data with corporate tax return data, there may be an increase in investigations, again reinforcing the growing need for data scientists. No high pressure sales pitch.
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