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What is Tracer?

The existence of two vastly disparate ecosystems has transformed the search for solutions into a formidable challenge. The system’s ability to automate processes effortlessly makes it highly adaptable, allowing for seamless integration with the technologies already in use. What distinguishes Tracer is its unique combination of being both a comprehensive and versatile solution. For some clients, we function as a complete resource for automating large-scale analytics, while for others, we extract data from their existing warehouses and enhance their visualization tools, all while optimizing the intermediate processes. A significant portion of technical debt accumulates during the contextualization phase, resulting in considerable investments of both time and money. This situation underscores the essential need for effective solutions capable of managing these intricate challenges. The evolving landscape demands a proactive approach to addressing these complexities, ensuring that organizations can thrive amidst such disjointed ecosystems.

What is SAP Data Intelligence?

Harness the potential of data by transforming chaotic information into valuable insights through advanced data intelligence. By interlinking, discovering, enhancing, and orchestrating disparate data resources, organizations can generate actionable insights that propel business success at an enterprise level. SAP Data Intelligence acts as a comprehensive solution for managing data. As the orchestration layer of SAP’s Business Technology Platform, it turns fragmented data landscapes into vital insights that encourage innovation on a grand scale. By providing users with intelligent, relevant, and contextual insights, seamless integration throughout the IT ecosystem is achieved. Efficiently managing and orchestrating extensive volumes of data and streams is essential for improving operational efficiency. Furthermore, it is important to optimize processes, implement machine learning-driven innovations, and create strong governance frameworks to address compliance risks through robust metadata management strategies. As the data landscape continues to evolve, prioritizing actionable insights will be essential for fostering sustained growth within enterprises, ensuring they remain competitive and responsive to market changes. The ability to adapt and innovate in response to data will be pivotal for future success.

Media

Media

Integrations Supported

Alibaba Cloud
Arctera Enterprise Vault
Azure NetApp Files
CIMPLICITY
Fujitsu Biometrics-as-a-Service
Google Cloud Platform
HPE Consumption Analytics
Huawei APM
IBM Cloud
Lenovo ThinkAgile HX Series
Microsoft 365
NEC EXPRESSCLUSTER
Nutanix AHV
Oracle Cloud Infrastructure
SAP Joule
VMware Cloud

Integrations Supported

Alibaba Cloud
Arctera Enterprise Vault
Azure NetApp Files
CIMPLICITY
Fujitsu Biometrics-as-a-Service
Google Cloud Platform
HPE Consumption Analytics
Huawei APM
IBM Cloud
Lenovo ThinkAgile HX Series
Microsoft 365
NEC EXPRESSCLUSTER
Nutanix AHV
Oracle Cloud Infrastructure
SAP Joule
VMware Cloud

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.22 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tracer

Date Founded

2018

Company Location

United States

Company Website

tracer.tech/

Company Facts

Organization Name

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-intelligence.html

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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