Dataversity

MARCH 15, 2022

What’s more, as technology changes our ability to capture data from more sources, the volume of data in the life sciences sphere is growing exponentially, creating a challenging data analytics paradigm. The post How Data Automation Is Reshaping Pharma Regulatory Publishing appeared first on DATAVERSITY.

Data Automation 130

Data Automation Pharmaceutical Data Analytics Data Analytics 130

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

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Data Pine

DECEMBER 11, 2019

When SaaS is combined with AI capabilities , it enables businesses to obtain better value from their data, automate and personalize services, improve security, and supplement human capacity. Others are solely company-focused, and 11% of the primary players don’t even operate a blog, according to Callbox.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

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