Name: Conversionomics
Author: Conversionomics

Help Desk

Kiosk

Web and Video Conferencing

Customer Support

AI Code Generation

Automation Testing

Beta Testing

Feature Management

Development

Virtual Classroom

Education

AI Document Creation

Business Intelligence (BI)

Collaboration

Demand Planning

Internal Communications

Knowledge Management

Quality Management

Supply Chain Visibility

Whistleblowing

Enterprise

Accounting

Cash Flow Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Monitoring

HR Management

Payroll

Talent Intelligence

Talent Management

Video Interview

Workforce Analytics

Workforce Management

eLearning Content

Human Resources

Blockchain-as-a-Service (BaaS)

Business Process Automation

Cloud Data Warehouse

Cloud Storage

Data Integration

Data Replication

Database-as-a-Service (DBaaS)

Embedded Database

Encryption Key Management

Fraud Detection

IT Alert Management

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

OpenStack Cloud

Scale-Out Storage

Test Management

User Activity Monitoring

Value Stream Management

WAN Optimization

Web Content Filtering

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Enterprise Marketing Management

Grant Management Software

Livestream

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Auction Software

Customer Relationship Management (CRM)

Sales Consulting

Sales Incentive Compensation Management

Sales Training

Sales

Agriculture

Inventory Management

Last Mile Delivery

Military and Defense

Online Ordering

Shipping

Vertical-Specific

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Whatagraph

Sprout Social

Matillion is a data pipeline platform used to build and manage pipelines. Matillion empowers data teams with no-code and AI capabilities to be more productive, integrating data wherever it lives and delivering data that’s ready for AI and analytics.

Basic

Advanced

Developer: For Individuals

Astera Data Pipeline Builder is a no-code solution for designing and automating data pipelines. It allows users to read and write data across various file formats, databases, and applications. Users can execute ETL and ELT pipelines manually, schedule automated reruns, or integrate them into broader data management processes.

Centerprise Enterprise

Astera Data Pipeline Builder (Centerprise)

Conversionomics

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

Data Source Connection

Ability to connect to multiple data sources

Connect to traditional data sources

Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

Connecto to Big Data and NoSQL

Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

Simple transformations

Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

Complex transformations

Complex data transformations are data normalization, advanced data parsing, etc.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Metadata management

Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

Business rules and workflow

Ability to define and manage business rules and workflows

Collaboration is enabled by a shared repository of project information and metadata

Testing and debugging

Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

Integration with data quality tools

Integration with tools for cleansing, parsing and normalizing data according to business rules

Integration with MDM tools

Integration with master data management tools to ensure data consistency across the organization

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Conversionomics

Overview

What is Conversionomics?