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EasyMorph
EasyMorph

EasyMorph

By EasyMorph


  •  1011 Interested

Highlights : About EasyMorph

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Data quality control

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Match & merge

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Non-relational transformations

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Data discovery

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High volume processing

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Data transformation

About EasyMorph

EasyMorph is a self-service, data preparation and transformation tool that helps non-technical business users to increase data analysis productivity by accessing, merging, and manipulating data from multiple data sources. The solution is useful for business users within sales, marketing, financial and operational analysis, helping them transform raw data sets into actionable analysis in less time, and with higher quality than working with spreadsheets. Repetitive data-related tasks can also be automated for increased efficiency.

Specifications

  Business Size
Small, Mid-Market, Enterprise
  Customization
Yes
  Deployments
Premise
  Language Support
English
  Platforms

Product Details

Features

Arrange conditional if/then/else workflows

Automate common or repetitive actions

Copy/rename/delete/unzip/download files

Conditional workflows

Log monitoring

Rule-based email notifications

Scheduled PDF report generation

Transfer files over SFTP/SCP

Receive and send e-mails with attachments

Schedule tasks or trigger them manually

Visual workflows

Automatically generated documentation

Data quality guards

Advanced non-relational transformations

Data transformation

Benefits

EasyMorph is optimized for non-technical business users so they can analyze data more efficiently without having to involve the IT department.

Multiple uniform files can be seamlessly processed and multiple files can be appended from separate data sources.

Automation capabilities save users significant time by automating repetitive activities such as coping, renaming, unzipping files, executing external programs and automatically sending email alerts to notify when a scheduled calculation fails or when data quality issues are detected.

Data quality guards allow users to create and maintain quality data as a part of the data transformation process, minimizing human error. Business logic is used for workflows that can halt a process if a certain data condition is met or not met. In addition, automatic notifications can be sent if key data is missing or doesn't fall into a specified range.

EasyMorph can handle a lot more data than Excel spreadsheets without the sluggishness that is encountered with larger datasets.

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