manufacturing bi platform

Anvizent Integrations

Connect and consolidate your data sources instantly. Automate cleansing and preparation processes to accelerate the transformation of raw data into actionable data sets.

Accelerate Your

Data Extraction and

Transformation

 

Anvizent integrations accelerate data extraction and transformation by automating the steps involved in ingesting, blending, cleansing, and preparing data. It eliminates delays and discrepancies that result from manual efforts, reducing time-to-insight from days and hours to minutes and seconds.

Access

Connect and join/combine data from your ERP, CRM, and other enterprise systems using our extensive list of pre-built integrations & mappings.

Prepare

Leverage automated ETL to cleanse, transform, and blend data without manual effort or coding skills.

Organize

Consolidate clean, blended data in data warehouse for reporting and analysis purposes.

Quickly Extract Source Data from Multiple Enterprise Systems - No hand-coded integration required

Anvizent provides simplified access to data sources through our pre-built data integrations/mappings. Connect instantly to major enterprise application to access data and move it where and how it’s needed.

  • Pre-built data extractions for multiple ERPs
  • API/SQL-based extraction automation
  • Automated incremental and full extract capabilities for DW
  • Visual query builder for the ease of query building

Cleanse and Prepare Data without Time-Consuming Manual Interventions

Speed up the process of transforming data into a consumable format through a fully-automated ETL process. Eliminate discrepancies that result from manual effort while reducing lag from days and hours to minutes and seconds.

  • Scalable Spark-based ETL engine for data processing
  • Ability to automate creation of data processing programs
  • Ability to align modeling changes with data processing to reduce the cycle times for changes
  • Schedulers to automate and schedule full and incremental data loads

Integrate and Organize Data to Establish a Trusted Single Source of Truth

Consolidate clean, blended data for reporting and analysis purposes. Load data into a centralized data warehouse or other target systems/applications

  • Seamlessly consolidate data from disparate sources such as ERPs, Multi ERPs, CRMs, MES, etc.
  • Store aggregates and maintain a master list of products, customers, suppliers, etc.
  • Schedule data loads at desired intervals
  • Create datasets for analysis

Key Features

Data Extraction

  • Pre-built data extractions for multiple ERPs
  • API / SQL-based extraction automation/li>
  • Automated incremental and full extract capabilities for DW
  • Visual query builder for ease of query building
  • Connectors to a wide range of ERP and data and text storage source systems

Automated Data Processing

  • Scalable Spark-based ETL engine for data processing
  • Ability to automate creation of data processing programs
  • Ability to align modeling changes with data processing to reduce the cycle times for changes
  • Schedulers to automate and schedule full and incremental data loads

Anvizent Input Layout (IL) Data Layout

  • Seamlessly consolidate data from disparate sources such as ERPs, Multi ERPs, CRMs, MES, etc.
  • Store aggregates and maintain a master list of products, customers, suppliers, etc.
  • Schedule data loads at desired intervals

Anvizent Xref

  • Aggregate information of similar data fields between applications such as ERPs, CRMs, and MES to create a centralized repository. For example, you can combine customer data across ERP and CRM systems.
  • Ability to group any dimensions in multiple ways to meet each departmental requirements
  • Enable cross referencing of data across multiple systems such as ERPs, CRMs, and MES to gain a unified view that delivers valuable insights of trends, patterns, and issues

Key Benefits

Combine data from disparate systems such as ERPs, CRMs, and MES for a single, consolidated view of the business

Get a unified view of data from multiple ERP systems

Minimize the cost, complexity, and risk associated with traditional integration methods

Get access to consistent and accurate real-time data