Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models. JSMITH01”).

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. Billie , a Berlin-based fintech startup, offers online invoicing and payment solutions to its customers, mainly small and medium-sized enterprises and e-commerce companies. joining the BI team at Billie in 2018.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

JANUARY 25, 2024

Reverse ETL combined with data warehouse helps data analysts save time allowing them to focus on more complex tasks such as making sure their data is high quality, keeping it secure and private, and identifying the most important metrics to track. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

APRIL 24, 2024

A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MAY 26, 2023

It includes support for grouping, sorting, and filtering data, as well as running mathematical and statistical operations. Data validation: MongoDB allows for the validation of data before it is inserted into the database. Therefore, ensuring data quality and consistency across the application.

E-Commerce 40

E-Commerce Documentation Data Quality Data Security 40