Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

OCTOBER 17, 2022

This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few. zettabytes of data in 2020, a tenfold increase from 6.5 Data pipeline maintenance. Unable to properly govern data.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. What types of features do AI platforms offer?

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

Andrew White

JANUARY 11, 2021

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. It is much less just about defensive controls and more about enabling capabilities. Which tools would you recommend for getting governance in place? Do you agree?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52