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Faster Data Mapping with AI

Supercharge the creation of data maps with AI for faster data transformation and integration.

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AI-Based Data Mapping

AIMap is an AI-powered data mapping solution designed to accelerate data transformation for faster data onboarding. AIMap uses artificial intelligence (AI) techniques to learn from your existing data maps to predict and suggest data mapping rules automatically. Since the decisions are taken from previously garnered information applying a certain set of machine learning algorithms, the possibility of errors such as duplicities, missing values, etc., is reduced. So, artificial intelligence mapping not only accurately maps assorted data sources to the target fields, but it also maintains data integrity to radicalize decision-making and completely change the way you do business. AI mapping makes data mapping fast and accurate. It employs machine learning for inferring data mapping predictions from existing library of tested and validated data maps that dramatically reduces the effort and time required to create intelligent data mappings. Further, AI/ machine learning infusion in data mappings automates data integrations that adds value to your business.

A key part of any data integration is the data transformation step where data is mapped from one format to another while business rules and validations are applied to that data. This design-time task is usually the most tedious, difficult, time-consuming, complex, and error-prone because it requires deep understanding of all the data fields on the source and the destination side and perfectly application of the rules for all the fields.

Adeptia’s goal behind creating an artificial intelligence mapping solution was to make this data transformation step as easy as possible for users by simplifying and automating all integration steps so that even non-technical business users (citizen integrators) can create data integrations with a few clicks.

How Does AIMap work?

How Does AIMap work?

AIMap works by utilizing existing data maps in your library. It learns mapping patterns between existing data fields using machine learning algorithms and trains a neural network to suggest future data mappings. To understand how AI data mapping works, think of three distinct steps:

Step 1: Training

  • Data maps are put in the AIMap Library. These data map objects in Adeptia have been tested in a business environment and are confirmed to contain validated and correct data transformation rules.
  • AIMap uses these data maps in its library to train the neural net and learn from these mapping rules.

Step 2: Suggesting

  • AIMap is triggered by a user creating a new data map.
  • AIMap scans the source and destination schemas and uses its algorithms and neural net to find mapping rules for each target field. Upon finding most appropriate rules, it ranks them in the order of decreasing probability.
  • It then selects the suggestions with the highest probabilities and displays them by High, Medium, and Low confidence levels.

Step 3: Reviewing

  • User views the suggestions and is guided by the confidence levels predicted by AIMap.
  • Accept/Reject options in the review process allows user to work through the suggestions sequentially.
  • User can load and run a data file to see actual results of the mappings and correct them.

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What Are the Key Features of AIMap?

What Are the Key Features of AIMap?
  • Classifies mapping suggestions into High, Medium, and Low confidence
  • High and Medium confidence suggestions include complex rules, such as Math, String, or Conditional functions
  • Low confidence suggestions show one-to-one maps from source to target fields
  • Provides a review and accept/reject options for mapping suggestions
  • Works with complex, hierarchical data structures, not just flat formats
  • Works with all data formats including Text, CSV, Fixed Length, Database tables, XML, EDI X12, JSON etc.
  • Designed for high-performance so suggestions for even large schemas can be made in seconds.

Success Story for AIMap

“Intelligent” Mapping with A.I.

A large manufacturing company had to create 1,300 data maps of different source order types for processing automatically by the Adeptia AI data mapping mechanism. Although there were 1,300 different source formats, the destination format was always the same normalized schema that had about 60 data fields. After the manufacturing company had created the first 25-30 data maps and put them in the AIMap library, the subsequent data maps were created very quickly and efficiently.

AIMap was able to learn from those initial data maps, then suggest intelligent data mapping rules for subsequent mappings. This reduced the effort required for developing and testing the 1,300 maps by a factor of 10.

In addition, AI data mapping predicted failures and allowed planned interventions to cut down downtime and operating costs while improving company’s production yield. So, integrating AI and ML into business enables users to map data fields from a source file to their related target field – without effort or breaking the bank.

How to Leverage AIMap for Your Business

Adeptia’s powerful business intelligence mapping solution significantly reduces manual mapping effort and accelerates deployment timeframes. Using Adeptia’s industry-leading machine learning-powered data transformation technology, you can build a reusable blueprint that leverages the intelligence of each data map for subsequent data integrations, leading to smaller and smaller incremental investments as the number of data connections increases.

By minimizing deployment time, you can:

B2B Process Automation

By reusing previous data maps, you can:

Salesforce Integration
Tom Sweat

The bottom line is that Adeptia enabled us to successfully bring a new service offering to the marketplace, generate millions in revenue for our clients, and rapidly grow our business.

Tom Sweat

President, TEC Services Group, Inc.

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