# Your data has value. Calculate its worth in minutes

#### By answering a few simple questions about your dataset, you can kickstart your data monetization journey and gain valuable insights into pricing strategies.

Explore our data value calculator

## Which industry does your dataset primarily relate to?

### Financial

### Healthcare

### Marketing or Consumer

### Real Estate

### Scientific or Research

### Environmental or Weather

### Manufacturing or Supply Chain

### Other

## What is the approximate size of your dataset?

### A
#### Small
(1GB - 50GB)

### B
#### Medium
(50GB - 500GB)

### C
#### Large
(500GB - 1TB)

### D
#### Very Large
(5TB)

## How many rows are in your dataset?

### A
#### Up to 1M rows

### B
#### Up to 10M rows

### C
#### Up to 1B rows

### D
#### >1B rows

## Where do you primarily store your data?

### A
#### Cloud Data Warehouses (e.g., Snowflake, Databricks, BigQuery, Redshift)

### B
#### Cloud Storage (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage)

### C
#### On-premises Data Centers

### D
#### Databases (e.g., Oracle, MongoDB, PostgreSQL, MySQL)

### E
#### Flat Files (e.g., CSV, TXT, JSON)

### F
#### Other

## How would you rate the cleanliness and accuracy of your data?

### A
#### Low
(requires significant cleaning)

### B
#### Average
(some cleaning required)

### C
#### High
(minimal to no cleaning required)

### D
#### Very High
(vetted and guaranteed accuracy)

## How current is your data?

### A
#### Outdated
(>2 years old)

### B
#### Somewhat current
(6 months - 2 years old)

### C
#### Very current
(<6 months old)

### D
#### Real-time or near-real-time

## Does your dataset contain sensitive or personally identifiable information (e.g., PII)?

### A
#### No sensitive data

### B
#### Some sensitive data

### C
#### Highly sensitive data

### D
#### Extremely sensitive or regulated data

## How would you characterize the effort required to acquire and process the data?

### A
#### Low
(easily obtainable)

### B
#### Moderate
(requires some effort)

### C
#### High
(significant resources needed)

### D
#### Very High
(extensive resources or specialized methods required)

## What level of compliance is required for this dataset?

### A
#### Minimal compliance requirements

### B
#### Moderate compliance needs

### C
#### High compliance needs
(e.g. GDPR, HIPAA)

### D
#### Very High
(e.g. financial regulations, government security clearances)

## How unique or rare is this dataset?

### A
#### Common data
(easily found from multiple sources)

### B
#### Somewhat unique
(limited sources available)

### C
#### Rare
(very few sources, hard to obtain)

### D
#### Exclusive
(only available from one source)

## How detailed and specific is the granularity of your dataset?

### A
#### Low Granularity
(Aggregated or summarized data with limited drill-down capabilities)

### B
#### Moderate Granularity
(Provides some detailed breakdowns and intermediate-level insights)

### C
#### High Granularity
(Extremely detailed, offering multi-dimensional, individual-level data points)

## How often is your dataset refreshed or updated?

### A
#### Never

### B
#### Infrequent Updates
(Yearly or less)

### C
#### Periodic Updates
(Monthly or Quarterly refreshes)

### D
#### Continuous Updates
(Real-time or near real-time data with instant refresh capabilities)

## Based on your current understanding of the market and interest in your dataset, what is your estimated demand?

### A
#### I am not sure

### B
#### 1-10 requests per month

### C
#### 11-50 requests per month

### D
#### >50 requests per month

## How easily can this dataset be integrated and used by potential buyers?

### A
#### Low usability
(Requires significant transformation, complex manual processing)

### B
#### Moderate usability
(Some standardization, partial API or integration support)

### C
#### Fully standardized
(Plug-and-play formats with comprehensive documentation and multiple integration methods)

# Congratulations on taking the first step!

The estimated price range for your dataset is $Xxx,xxx to $Yxx,xxx .