Smart Data Collective

JUNE 19, 2022

Because the internet reveals more about supplier relationships and social media provides consumers with louder voices , businesses need to be especially careful about the brand reputation risks they face in their supply chains. How can AI help with brand reputation management? Competitive Advantage Risk.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

FineReport

MARCH 24, 2024

Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities. They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

MAY 8, 2022

For instance, supply chain and fulfillment operations rely on data, so they rely on AI to provide real-time insights into customer feedback. By doing this, businesses can form their finance & marketing strategies with the new information they have gathered. Innovations.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining?

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Whether financial models are based on academic theories or empirical data mining strategies, they are all subject to the trinity of modeling errors explained below.

Modeling 134

Modeling Finance Uncertainty Data mining 134

Smart Data Collective

SEPTEMBER 21, 2022

Organizations need employees with problem solving skills to evaluate situations and come up with strategies in order to fix the issue. Applicants with project management skills are always in high demand in different fields, such as construction and digital marketing, for example.

Statistics 84

Statistics Software Data mining Marketing 84