Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness.

Predictive Analytics 305

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 305

Smart Data Collective

AUGUST 31, 2020

A prime example is the growing use of big data for stock future trading. Predictive analytics models have proven to be remarkably effective with the stock futures market. One company that uses big data to forecast stock prices has found that its algorithms outperform similar forecasts by 26%.

Big Data 229

Big Data Predictive Analytics Data Modelling 229

Smart Data Collective

NOVEMBER 24, 2019

Big data is becoming more essential in the arena of employee collaboration. A growing number of teams are finding that big data can be very beneficial when it comes to forging stronger relationships between their participants. There are a number of ways that big data is changing the nature of these relationships.

Big Data 186

Big Data Predictive Analytics Data Modelling Planning 186

Smart Data Collective

NOVEMBER 22, 2021

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. Securing financing is a huge example.

Finance 255

Finance Data Analytics Data Analytics Big Data 255

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?

Data Mining 358

Data Mining Big Data Artificial Intelligence Data Warehouse 358

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Exploratory Data Analysis (EDA). Predictive Analytics. Predictive modeling for flagging suspicious activity.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130