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Iteratively Pricing

Free Trial

Not available

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Subscription / Quotation Based )

Pricing Plans

MONTHLY YEARLY

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Pricing screenshot

Disclaimer: The pricing details were last updated on 05/02/2021 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Pricing Insights for Data Management Software

  • The Average Cost of a basic Data Management Software plan is $32 per month.

  • Iteratively pricing starts at $500/month, which is 1463% higher than similar services.

  • 32% of Data Management Software offer a Free Trial Allows users to try out the software for a limited period before making a purchase decision. , while 20% offer a Freemium Model Allows users to access basic features at no cost..

Iteratively FAQs

How much does Iteratively cost?

The pricing for Iteratively starts at $500.00 per month. Iteratively has a single plan:

  • Groeth at $500.00 per month.
    • Iteratively offers a Free Plan with limited features. They also offer an Enterprise Plan for their product.

      Learn more about Iteratively pricing.

Does Iteratively offer a free plan?

Yes, Iteratively offers a free plan.

Learn more about Iteratively pricing.

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Iteratively Features

Data Management Features

  • Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    95%

Master Data Management

Enables an organization to manage and integrate all of its critical corporate to a centralized point of reference

Information Governance

Allows adopting a holistic approach to govern or manage the corporate data

Data Quality Control

Helps in monitoring the quality of data input and processed

Data Capture

Helps in gathering and extracting data from documents and transforming them into computer-readable form

Customer Data

Helps in recording, accessing and managing customer information

Data Security

Ensures secure storage of data by encryption

Data Integration

Helps in collecting and combining data from multiple data sources and offer them in a unified manner to the user

Data Analysis

Helps in analyzing stored raw data and converting them into useful reports

Match & Merge

Helps matching data across multiple sources and to merge them for offering a better view to the data managers

Data Migration

Facilitates transferring or shifting data between computer storage types and or file formats

Iteratively Integrations

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