Foundational Questions

What is "data analytics" – aka "business intelligence"?

"Data analytics" usually refers to the analysis of structured data – most commonly tables of text and numbers, such as a customer list or an earnings report – to answer questions about business performance or business opportunities. Unstructured data, such as full documents, images, audio recordings, and video, are increasingly entering the analytical fold, but in order to be analyzed in a 'data analytics' or BI process, they are usually rendered into some uniform structure.

Businesspeople of all kinds very often need to do some sort of data analysis: for planning and/or evaluation of efforts and programs. And you often have access to a wide variety of data sources, living in all sorts of places.

Currently this is often a fraught and difficult process: problems ranging from access to expertise to data consistency to time-intensiveness interfere with you getting the answers you need, when you need them.

Dashbud is an AI-enabled data platform that overcomes these problems. To see how it does this, read on.

Where does your data live?

Here are the common places, or types of places, where your data is located:

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Flat Files

Spreadsheets, CSV exports, homegrown lists maintained in Excel or Google Sheets.

Examples: Customer lists, inventory tracking, manual campaign logs, exported reports from business systems (including legacy systems lacking APIs).

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Raw Databases

SQL databases, data warehouses, or data lakes your team has access to but lacks the SQL expertise to query effectively.

Examples: PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery.

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Siloed Databases

Databases controlled by IT or data teams where business users must submit requests and wait for exports.

Examples: Production databases, ERP systems, legacy enterprise platforms.

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SaaS APIs

Modern cloud platforms with programmatic access but requiring technical know-how to use.

Examples: Salesforce, Stripe, QuickBooks, Google Analytics, HubSpot, Shopify.

Dashbud isn't trying to change this. Instead, Dashbud improves how you go from these diverse data sources to useful, actionable answers.

Ready to see how Dashbud connects to all these sources?

See how Dashbud transforms your workflow →