Name: Sumerge
Author: Sumerge

Call Center Workforce Optimization

Help Desk

Web and Video Conferencing

Customer Support

Chatbot

Functional Testing

Kubernetes Monitoring

No-Code Development

Development

Admissions and Enrollment

Classroom Management

Education

Business Intelligence (BI)

Collaboration

Facility Management

Statistical Analysis

Workspace Planning

Enterprise

Accounting

Accounts Payable

Financial Planning and Analysis (FP&A)

Hedge Fund

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Block Storage

Cloud Data Warehouse

Cloud Storage

Configuration Management Databases

Deception Technology

Encryption Key Management

Fraud Detection

Integration Platform as a Service (iPaaS)

IoT Device Management

Load Balancing

Network Performance Monitoring

Operating Systems

SOA Governance

SaaS Backup

Server Virtualization

Service Desk Outsourcing

Vector Databases

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Success

Digital Content Creation

Email Marketing

Market Intelligence

Marketing Automation

Referral Marketing

Social Media Management

Survey & Forms Building

Usability Testing

Web Analytics

Marketing

Project Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Field Sales Software

Sales Performance Management

Sales

Agriculture

Construction Takeoff and Estimating

Dealer Management

Direct Secure Messaging

Equipment Rental

Fleet Management

Insurance Suites

PCB Design

Rental Property Management

Restaurant Management

Vertical-Specific

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Sumerge is a business integration solution provided by Sumerge that aims to consolidate and streamline data from multiple sources into a single data warehouse. According to the vendor, this solution is designed for small to large enterprises and caters to a variety of professions and industries, including IT professionals, business analysts, software developers, financial institutions, government organizations, banking, telecom, insurance, and healthcare.

## Key Features

**Data Integration**: Sumerge consolidates data from multiple sources into a single data warehouse, enabling tasks such as data cleansing, mining, and profiling. According to the vendor, this feature improves data transparency, visibility, and streamlines processes.

**Data Quality Access and Monitoring**: According to the vendor, Sumerge analyzes data sources to provide better visibility into historical activities and ensures timely, quality data access and consistency. It is claimed that this feature enhances business intelligence from multiple sources and enables high ROI through historical intelligence.

**Broadest Set of Prebuilt Transformations**: Sumerge supports a wide range of industry-standard formats, including SWIFT, NACHA, HIPAA, HL7, ACORD, EDI X12, and EDIFACT. The vendor states that this feature enables easy integration of different data formats and simplifies data transformation and manipulation processes.

**Real-time Data Governance**: Sumerge is said to manage, improve, and leverage information in real-time, reducing costs and risks associated with data consolidation. The vendor claims that this feature provides parallel processing capabilities for efficient data management and ensures data integrity and availability across the organization.

**Multiple Systems Data Integration**: Sumerge offers a powerful and scalable ETL platform that enables flexible integration of all types of data. According to the vendor, this feature supports real-time and batch data processing and facilitates near real-time data integration from various systems.

**Unstructured Data Transformations**: The vendor claims that Sumerge can extract data from unstructured documents such as PDF files, Microsoft Word, and Excel, eliminating the need for prior conversion. It is said that this feature supports easy integration of complex hierarchical formats and enables seamless transformation of unstructured data into structured formats.

**Information Governance & Understanding**: Sumerge aims to discover IT assets and define a common business language for data, providing a standardized approach to information governance. According to the vendor, this feature improves data understanding and management across the organization and enhances data quality, accessibility, and consistency.

**Map Once. Deploy Anywhere**: Sumerge executes real-time and batch data transformations with a common service, enabling flexible deployment of data integration solutions. The vendor claims that this feature supports scalability and high-performance data processing, reducing development and maintenance efforts.

**Complex Hierarchical Formats Support**: Sumerge can read and write complex hierarchical documents without coding, supporting XML, JSON, and other hierarchical formats. According to the vendor, this feature simplifies data extraction and transformation from complex document structures and facilitates efficient handling of hierarchical data in data integration processes.


Viewer

Standard User

Developer

ANTserver

Business Intelligence Accelerator

TARGIT

Personal

Team

Department

Organization

Clear Analytics

Sumerge

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BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Sumerge

Overview

What is Sumerge?