Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. The potential uses of app behavior and visitor activity data stores are bounded only by the ingenuity of the data engineer.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Astera

MARCH 13, 2023

Data Visualization : Explorations contain multiple report formats. Create a visual representation best suited to your data requirements to deliver insights to stakeholders effectively. Collaboration : Easily share custom-built reports with team members and stakeholders to make informed, data-driven decisions.

Predictive Analytics 52

Predictive Analytics Data Warehouse Visualization Data Visualization 52

The BAWorld

NOVEMBER 24, 2023

The blog discusses key elements including tools, applications, future trends, and fundamentals of data analytics, providing comprehensive insights for professionals and enthusiasts in the field. A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Predictive Analytics 52

The BAWorld

DECEMBER 6, 2023

Leverage the flexibility and affordability of self-paced online courses to grasp the fundamentals of data analysis , including statistical concepts, data cleaning techniques, and data visualization methods. Focus on developing proficiency in programming languages like Python and R, which are widely used in data analysis.

Data Analytics 52

Data Analytics Data Analytics Artificial Intelligence Visualization 52

Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. It focuses on answering predefined questions and analyzing historical data to inform decision-making. Big Data Platforms: Hadoop, Spark.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Quick and easy to learn.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

NOVEMBER 28, 2023

These could be to enable real-time analytics, facilitate machine learning models, or ensure data synchronization across systems. Consider the specific data requirements, the frequency of data updates, and the desired speed of data processing and analysis.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52