datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

FineReport

APRIL 21, 2024

The increasing adoption of cloud-based technologies is resulting in the migration of BI tools to SaaS platforms, marking a pivotal shift towards cloud-based data analysis. However, SaaS BI tools address this challenge by offering user-friendly interfaces that simplify the process of data preparation, modeling, and analysis.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Andrew White

JANUARY 11, 2021

Where does the Data Architect role fits in the Operational Model ? Assuming a data architect helps model and guide and assist D&A then they play a key role. This would be part of a Data Literacy program. Decision modeling (one of my favorites). And not just for synthetic data techniques.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71