Data Pine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. 1 for data analytics trends in 2020. 9) Data Automation.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

MAY 6, 2024

Key Features: Interactive Workflow Tool Explore and Graph nodes for visualizing data Automated Model Building features Integration with RWorks with Big Data SQL Pros: Seamless integration with the Oracle Database Enterprise Edition. Can handle large volumes of data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

DECEMBER 11, 2019

Since it is often easy to lose track of what really matters when so many KPIs have to be monitored, an online reporting tool will safely keep an eye on your data and anticipate any fluctuation and change – and alert you when it veers off course. How will AI improve SaaS in 2020? Astonishingly low figures by all accounts.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Data Pine

MARCH 18, 2020

There are numerous data reporting tools on the market that can help you in presenting your information, but just a few provide features that will make your work extremely simple and straightforward. That being said, the monitoring and reporting of this network are invaluable for any video marketing strategy. With more than 1.9

Monitoring 71

Monitoring Digital Visualization Retail 71

Marutitech

DECEMBER 17, 2021

In that case, the predictive analytics model for your company will be different from the prediction model used in the hospitals for analyzing the behavior of the patients after certain medical operations. . What is predictive data modeling? Which predictive analytics algorithms are most helpful for them?

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

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 Reverse ETL?

Data Warehouse 52

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