Data Analytics Software Questions & Answers

In 2025, leading AI tools for predictive analytics include Tableau with AI integration, Microsoft Power BI, Google Cloud AutoML, KNIME Analytics Platform, and IBM Watson Analytics.

A data lakehouse combines the best aspects of data lakes and data warehouses into a single, unified platform for managing and analyzing data.

In 2025, leading AI tools for data analysis include platforms like DataRobot, Tableau, and Microsoft Power BI, alongside tools like RapidMiner, KNIME, and Google Cloud AutoML.

The Analysis of Competing Hypotheses (ACH) is a methodology for evaluating multiple competing hypotheses for observed data. ACH is used by analysts in various fields who make judgments that entail a high risk of error in reasoning. ACH aims to help an analyst overcome, or at least minimize, some of the cognitive limitations that make prescient intelligence analysis so difficult to achieve.

Gaslab software is designed to give live viewing of sensor configuration, data logging, and gas levels for all their development kits.

Analytics software is mostly used by IT professionals, data scientists, business analysts and data engineers.

Yes, big data analytics tools help in making decisions that are based on proper facts and evidence and not on intuition. Large volumes of data are analyzed by big data tools to recognize trends and patterns, which are difficult to identify with smaller data sets.

Steps to Create a Dashboard in Zoho Analytics

• Access Your Workspace – Open Zoho Analytics and navigate to the workspace where you want to create the dashboard.
• Create a New Dashboard – Click the 'Create' button and select 'Dashboard'.
• Add Reports & Widgets – Drag and drop reports, charts, and widgets into the dashboard layout.
• Arrange Components – Resize and organize reports logically for better visualization.
• Use AI Assistance – Utilize Zoho’s AI assistant, Zia, to generate reports within the dashboard.
• Apply Filters – Add timeline, range, and categorical filters to personalize data exploration.
• Customize Themes & Layouts – Modify background colors, grid settings, and chart effects.
• Enable Interactive Options – Set permissions for drill-down, exporting, and viewing underlying data.
• Save & View the Dashboard – Click 'Save', then switch to View Mode to interact with the dashboard.

By analyzing massive volumes of data in real time, AI SIEM can detect subtle anomalies, identify potential threats faster than ever, and reduce the noise that often overwhelms security teams.

Here’s how you can create a dashboard in Sisense:

• Access Sisense & Create a New Dashboard
• Select a Data Source
• Add Widgets & Visualizations
• Customize Layout & Design
• Save & Share