Astera

MAY 31, 2024

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 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. Formulates hypotheses to explain events: Diagnostic analytics involves formulating hypotheses about the root causes of events.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Healthcare 52

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

MARCH 13, 2023

Therefore, marketers and website owners must transition to GA4 to gain access to their web analytics data and truly understand their user’s journey at every touchpoint. What is GA4 ? “GA4” is the future of analytics. Data Visualization : Explorations contain multiple report formats.

Predictive Analytics 52

Predictive Analytics Data Warehouse Visualization Data Visualization 52

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. By using a visual representation of code, the virus code can be detected without running the code and endangering the test system.

Healthcare 98

Healthcare Cybersecurity Predictive Analytics Artificial Intelligence 98

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. – Steeper learning curve; requires coding skills. Can handle large volumes of data. – Quick and easy to learn.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

OCTOBER 19, 2023

While all data transformation solutions can generate flat files in CSV or similar formats, the most efficient data prep implementations will also easily integrate with your other productivity business intelligence (BI) tools. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40