Smart Data Collective

JUNE 4, 2021

Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century.

E-Commerce 262

E-Commerce Cloud Computing Big Data Data Modelling 262

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. This may include combining variables, creating new variables based on existing ones, and scaling the data.

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). Model Selection: A good model selection is one of the most critical steps in predictive analytics.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

The BAWorld

MARCH 15, 2024

Business Analytics Professional Data has always been central when it comes to business analytics professionals, Business analytics professionals focus on analyzing data to derive insights and support data-driven decision-making. Arguably, there is a debate about which language suits data analysis better.

Data Visualization 52

Data Visualization Artificial Intelligence Visualization Banking 52

Astera

MAY 25, 2023

Unlocking the Potential of Amazon Redshift Amazon Redshift is a powerful cloud-based data warehouse that enables quick and efficient processing and analysis of big data. Amazon Redshift can handle large volumes of data without sacrificing performance or scalability. These include dimensional models and data vaults.

Data Warehouse 52

Data Warehouse Data Modelling Banking Real-time Data 52

The BAWorld

SEPTEMBER 2, 2021

Think about the different apps on your smartphone – Uber, Facebook, Instagram, Health, Siri, photos, music playlist, banking, etc. We generate enormous amounts of a variety of data every day. This is a classic example of structured data and can be efficiently managed through a database. Unstructured Data. Did You Know?

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Sisense

MAY 27, 2019

You’ve got a strong bank of existing customers whose business you can grow. To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75