Precisely

APRIL 3, 2025

A poorly managed archiving system can lead to compliance risks, data silos, and inefficiencies that slow down operations. GDPR, CCPA, SEC, HIPAA) How long must data be retained, and in what format? Can archived data support analytics, AI models, or other business initiatives?

Data Silos 64

Data Silos Analytics Analytics AI 64

Alation

MARCH 29, 2022

The 1980s ushered in the antithesis of this version of computing — personal computing and distributed database management — but also introduced duplicated data and enterprise data silos. During the 1990s, attempts were made to tackle challenges including: Inefficient data silos. This happened for many reasons.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

Precisely

AUGUST 22, 2024

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. ” today.

Data Governance 69

Data Governance Data Silos Analytics Analytics 69

Precisely

AUGUST 12, 2024

Data silos Limited integration capabilities Fragmented communications Workflow problems Limited scalability The fact is, your legacy systems can create great risks for your business. The Challenges of Legacy CCM Technology First, let’s dive deeper into what’s pushing this need for CXPs. Do any of these common barriers feel familiar?

Data Silos 52

Data Silos Artificial Intelligence Artificial Intelligence ML 52

DrivenData Labs

MARCH 30, 2023

Generate effective models to accomplish a set of predictive or analytical tasks that support the use cases. Teams competing in the challenge participated in two separate data tracks: Track A dealt with the identification of financial crime, and Track B was about bolstering pandemic forecasting and response.

Machine Learning 162

Machine Learning Machine Learning Data Science Algorithm 162