Smart Data Collective

SEPTEMBER 16, 2020

Deep Learning, Machine Learning, and Automation. Many business processes are trending towards the utility of the business intelligence sphere, especially where certain predictive analytics tools are concerned. Predictive models are sure to change the landscape or many businesses. Objectives and Usage.

Predictive Analytics 305

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 305

Smart Data Collective

OCTOBER 11, 2019

A business dashboard is a data management tool used to track key performance indicators ( KPIs ), metrics and other relevant data points for your business. A digital dashboard is an electronic interface that combines visual data from many sources, which may include databases, locally hosted files, and web services.

Big Data 203

Big Data Monitoring Visualization Data Automation 203

Insight Software

MARCH 22, 2024

Qlik’s powerful associative analytics engine The first capability we’re exploring is Qlik’s powerful associative engine – technology that was truly a leap forward for in-memory business intelligence (BI). The system associates data instead of joining tables.

Digital Transformation 52

Digital Transformation Visualization Digital User Experience 52

Astera

JANUARY 25, 2024

ETL Vs Reverse ETL Aspect ETL Reverse ETL Purpose Aggregates and organizes data from various sources for analytical processing. Primary Focus Integrating, cleansing, and storing data for reporting and analysis. Operationalizing insights from stored data and making them actionable in day-to-day business operations.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

OCTOBER 10, 2023

These tools are used to establish a connection between different data sources, such as databases, files, or APIs, and then define how data should be extracted, transformed, and loaded (ETL) to meet specific requirements. Having the right data mapping tool is crucial for efficient data integration. A mapping editor.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Astera

JUNE 14, 2023

This layer is critical for ensuring data consistency, accuracy, and timeliness across multiple sources. Analytics layer: This is where all the consolidated data is stored for further analysis, reporting, and visualization. Other data integration architecture components include servers and interfaces.

Data Mining 52

Data Mining Monitoring Data Quality Data Automation 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 52