Smart Data Collective

OCTOBER 31, 2021

The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics. One of the most important benefits of analytics in e-commerce is in the web design process.

E-Commerce 333

E-Commerce Data Mining Predictive Analytics Data Analytics 333

Smart Data Collective

APRIL 7, 2022

Few people anticipated that big data would have such a profound impact on the e-commerce sector. Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. ERP Integration is the Newest Trend in E-Commerce for Data-Driven Distribution Businesses.

E-Commerce 321

E-Commerce Supply Chain Logistics Retail 321

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

MARCH 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. BI dashboards , offer the possibility to filter the data all in one screen to extract deeper conclusions.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

APRIL 27, 2023

Social Media Analysis Data extraction is commonly used in social media analysis to gather and analyze data from social media platforms, such as Twitter and Facebook. This information can be used to monitor social media trends, track sentiment about a product or brand, and develop targeted marketing campaigns.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

APRIL 27, 2023

Social Media Analysis Data extraction is commonly used in social media analysis to gather and analyze data from social media platforms, such as Twitter and Facebook. This information can be used to monitor social media trends, track sentiment about a product or brand, and develop targeted marketing campaigns.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

The BAWorld

MAY 14, 2024

Write some key skills usually required for a data analyst. Key skills for data analyst: Python/R language SQL Excel (pivoting, formulas etc) Machine Learning Statistics Data Mining PowerBI / Tableau / QlikView Problem-Solving Critical Thinking Communication Domain knowledge like finance, e-commerce, banking, healthcare, Insurance etc 6.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52