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VAL logo

VAL

Develop by ThinkVAL
Free plan available

data warehouse and enrichment

Data visualization
Automated processes
Customizable platform
Data enrichment
Central database
Value alignment
No-code mapping
Sales metrics
Api data integration

Built by ThinkVAL

Email :

gene@thinkval.com

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Description

VAL acts as a central database for all the data in your company.

Align values across multiple systems automatically without writing code. Change the mapping as and when you need. Automate the process of enriching your raw data either to segment your customer or extract value from text. Automate and let it run. Calculate your sales per manhour, conversion ratio, pro-rated sales target and many more metrics. Let us be your data calculator.

Align values across multiple systems automatically without writing code. Change the mapping as and when you need. Automate the process of enriching your raw data either to segment your customer or extract value from text. Automate and let it run. Calculate your sales per manhour, conversion ratio, pro-rated sales target and many more metrics. Let us be your data calculator. more
  • able to pull data from different APIs
  • data visualization
  • no-code customisable data platform packed with industry specific solutions.

Pros

  • Align values across multiple systems automatically without writing code
  • Easily change mappings as needed
  • Automate the process of enriching raw data, enabling tasks like customer segmentation and text value extraction
  • Capable of calculating various metrics such as sales per manhour, conversion ratios, and pro-rated sales targets
  • Able to pull data from different APIs
  • Includes data visualization features
  • No-code customizable data platform with industry-specific solutions

Cons

  • Limited flexibility for users who prefer or require custom code solutions
  • May require a learning curve to understand and fully utilize the automation and mapping features
  • Dependent on API availability and stability for data pulling capabilities
  • Potential issues with complex data integration scenarios
  • Could have limitations in handling highly specific or uncommon data requirements

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