Name: An Introduction to DataZense - Analytics & Cataloging in the Blink of an AI
Uploaded: 2020-12-30T09:04:57.000Z
Duration: 2 min 27 s
Description: An Introduction to DataZense - Analytics & Cataloging

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Calibration Management

Collaboration

Contract Analysis

Data Analytics  and BI Services

Document Management

Dropshipping

Whistleblowing

Enterprise

Accounting

Cryptocurrency Mining

Financial Research

Payment Hubs

Finance and Accounting

Applicant Tracking

Compensation Management

Corporate Learning Management

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Design

Change and Configuration Management

Cloud Data Warehouse

Cloud Storage

Data Center Power

Data Pipeline

Database DevOps

DevOps

DevSecOps

Disk Based Backup

Fraud Detection

IT Alert Management

Integration Platform as a Service (iPaaS)

Mobile Data Security

Network Access Control (NAC)

Network Performance Monitoring

OpenStack Cloud

Scale-Out Storage

Virtualization Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Call Tracking

Content Management

Email Marketing

Location Intelligence

Marketing Attribution

Marketing Automation

Marketing OS

Presentation

Search Marketing Intelligence

Social Media Advertising

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Task Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Intelligent Virtual Assistant

Sales

Cloud Access Security Brokers

Secure Service Edge (SSE)

Security

Car Rental

Construction Takeoff and Estimating

Digital Forensics

Insurance Claims Management

Medical Office EMR & EHR

Online Voting

Population Health Management

Veterinary

Vertical-Specific

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ChainSys dataZense is a data and analytics platform that aims to deliver rapid results while ensuring data governance and quality. According to the vendor, this solution is designed to cater to small, medium, and large enterprises, providing them with the necessary tools and capabilities for informed decision-making. Business analysts, data scientists, IT managers, and data governance professionals in industries such as financial services, healthcare, retail, manufacturing, and telecom can leverage dataZense to drive sustainable decision-making and gain insights from their data.

## Key Features

**Datazense for Data Catalog**: According to the vendor, dataZense utilizes machine learning metadata crawlers to automatically collect metadata from various data sources. Users can track data lineage and entity relationships, implement GDPR and CCPA compliance guidelines, scramble and mask PII and sensitive data, and govern access to their organization's data.

**Datazense for Data Analytics**: The vendor states that dataZense provides a vast library of pre-built dashboards for analytics and visualization. Users can leverage an analytical MDM engine to ensure quality data in their data lake, utilize pre-built templates for major enterprise applications, benefit from AI/ML-powered predictive, descriptive, and diagnostic analytics, and enjoy all-access analytics through a user-friendly interface.

**Fully Equipped Self-Service with Low-Code Data Marts**: According to the vendor, dataZense enables organizations to optimize decision-making processes, unlock the potential of big data, and experience ease of access and simplified data management. Users can streamline the creation and sharing of organizational data and perform relational database analytics seamlessly.

**Improved Efficiency & Accuracy**: The vendor claims that dataZense automates the creation of management packs in SSAS for almost real-time analysis. It also automates cube maintenance, eliminating the need for manual intervention. Users can utilize self-service BI tools for data visualization and analysis, integrate with OLAP for near-instantaneous analysis, and benefit from self-service capabilities to improve efficiency and accuracy in decision-making processes.

dataZense is an analytics, data security, cataloging & data science data platform, from ChainSys headquartered in Grand Ledge, Michigan, with offices global.

ChainSys dataZense

Metadata management software provides context and information for data assets stored across the enterprise.  An effective metadata strategy should make data easily searchable and locatable, supporting both governance and analytics. Metadata management tools include data catalogs, or assemblages of data organized into datasets (e.g. searchable tables or other arrangements, facilitating exploration). Various kinds of metadata include titles, tags, date of creation (or last change), and source information (i.e. the application or data source from which a particular piece of data was derived). Metadata management software helps ensure that data is described consistently across departments or business units, providing a common language and taxonomy for enterprise data.

Metadata Management

Chain-Sys Corporation

An Introduction to DataZense - Analytics & Cataloging

An Introduction to DataZense - Analytics & Cataloging in the Blink of an AI

An Introduction to DataZense - Analytics & Cataloging in the Blink of an AI.

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