How GenAI is Revolutionizing Data Analytics

Generative AI can make data analytics better, and several platforms provide tools to make the most of it. Many businesses are using Infoveave to help turn their data into something they can use.

How AI and Data Platforms Work Together

Unified data platforms put different data sources together in one place to fix problems with data that doesn't work well together and isn't consistent. Infoveave is made to turn data into useful insights.

Infoveave can:

• Put data from surveys and billing systems into one platform.
• Make sure data is accurate and complete.
• Help find patterns and relationships in data.
• Show data insights with dashboards and charts.
• Automatically manage data to keep it accurate and on time.
• Use Fovea, an AI helper, to make analytics faster.
• Keep data safe and follow data rules.

Infoveave helps businesses use their data well by keeping it reliable.

AI Helps to Automate Data Tasks

AI can automate tasks to save time and reduce mistakes. Fovea, which is Infoveave's AI assistant, helps people use data, create dashboards, find insights, and automate tasks. In manufacturing, data automation can find problems early so there are fewer defective products.

Infoveave lets you:

• Connect to databases quickly.
• Organize data workflows easily.
• See how data flows in workflows.
• Use AI to write code for changing data.
• Use ready-made data changes.
• Watch how workflows are doing and get alerts.

Showing Data with AI

AI can make it easier to create dashboards and get insights from data. ThoughtSpot is a company that uses AI to help people make better decisions with data. With Infoveave, you’re able to:

• Create dashboards quickly using AI.
• Use lots of visuals and templates.
• Ask AI questions about the data.
• Use AI to find patterns.
• Look closely at the data.
• Create reports.

ThoughtSpot's Spotter lets customers have conversations about their data to help them get insights.

Keeping Data Accurate with AI

It can be hard to keep data accurate because of data silos and other problems. Infoveave uses different ways to make sure data is accurate.

Infoveave helps you do the following:

• Find and remove duplicate data.
• Make sure data is in the right format.
• Keep data up to date.
• Use AI to find data problems.
• Automatically fix data using rules.
• Track how data quality changes.

Challenges of Using AI

When you start using GenAI, here are some things to keep in mind:

• Make sure the data is good and available.
• You may need people with special skills.
• Data might be stored in different places.
• There might be too many tools to use.
• It might take a long time to move data.
• It could take a while to release new things.
• Data might be seen by the wrong people.
• AI might be used in the wrong way.
• It might cost too much.

Problems with Putting Data Together

Businesses often have trouble putting data together because of these issues:

1. Data is stored in different systems that don't work together.
2. Tasks are done by hand, which is slow and can cause mistakes.
3. There aren't clear rules for managing data, which leads to data problems.
4. Data is missing or wrong, which makes it hard to make decisions.
5. People use different reports and dashboards, so they don't agree on the data.

How to Fix Data Problems

To fix these problems, businesses should do these things:

1. Create clear rules for data, like how it should be formatted and who owns it.
2. Use tools to automatically move data and fix mistakes.
3. Store data in one place so everyone uses the same data.
4. Check data often and use tools to remove duplicate data and watch for problems.
5. Teach employees how to use data correctly and encourage them to work together.
6. Create a group of experts to set data standards and improve data quality.

New AI technologies will help put data together better by automatically cleaning data and finding problems.