Smart Data Collective

JUNE 19, 2019

A report by China’s International Data Corporation showed that global data would rise to 175 Zettabyte by 2025. This growth means that you should prepare to handle even larger internal and external data soon. This will help in detecting any problem which will consequently enhance the process of decision-making.

Big Data 228

Big Data Logistics Monitoring Data Analytics 228

Astera

JUNE 5, 2024

This streaming data is ingested through efficient data transfer protocols and connectors. Stream Processing Stream processing layers transform the incoming data into a usable state through data validation, cleaning, normalization, data quality checks, and transformations.

Real-time Data 52

Real-time Data Data Warehouse Healthcare Monitoring 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Astera

JUNE 14, 2023

Limitations of Manual Document Data Extraction Besides being error-prone and time-consuming, manual document data extraction has several other challenges and limitations, including: Lack of Scalability: Manual methods are not scalable, making it challenging to handle increasing volumes of documents efficiently.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

MAY 6, 2024

Process Optimization: Data mining tools help identify bottlenecks, inefficiencies, and gaps in business processes. Whether it’s supply chain logistics, manufacturing, or service delivery, these tools optimize operations, reduce costs, and enhance productivity. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

DECEMBER 7, 2023

Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data. It supports the regular update of inventory data, allowing organizations to reconcile stock levels, identify discrepancies, and adjust inventory records in a controlled and efficient manner.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

Logistics and Supply Chain Management Batch processing helps optimize logistics operations by analyzing supply chain data. It supports the regular update of inventory data, allowing organizations to reconcile stock levels, identify discrepancies, and adjust inventory records in a controlled and efficient manner.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52