Name: Inzata Data Analytics - AI Powered Data Modeling
Uploaded: 2018-08-24T16:23:06.000Z
Duration: 32 s
Description: Simply upload any file, from any source, into your LDM and watch our AI powered platform do the work for you, integrating all of your unorganized data into a clean data model in minutes. Visit inzata.com to see a full demonstration.

Customer Training

Help Desk

Web and Video Conferencing

Customer Support

Automation Testing

Beta Testing

PHP Frameworks

Development

Learning Management

Education

Business Intelligence (BI)

Collaboration

Document Generation

Enterprise Content Management

Intellectual Property (IP) Management

Enterprise

Accounting

CTRM

Financial Close

Travel Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Corporate Wellness

Employee Engagement

HR Management

Payroll

Relocation

Talent Intelligence

Talent Management

Technical Skills Assessment

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

API Design

Archiving

Cloud Storage

Composable Infrastructure

Email Encryption

Fraud Detection

Game Engine

Integration Platform as a Service (iPaaS)

Network Performance Monitoring

Non-Relational Databases

Security Validation

Sensitive Data Discovery

Service Virtualization

Software Asset Management

Unified Communications Monitoring

Vendor Risk Management

Virtual Data Room

Web Content Filtering

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Community

Content Management

Email Marketing

Influencer Marketing

Marketing Automation

Public Relations (PR)

Sales and Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Sales Training

Sales

API Security

Cloud Computing Security

File Integrity Monitoring

Intrusion Detection

Microsegmentation

Security

Card Management

Geographic Information

Legal Case Management

Medical Office EMR & EHR

Medical Scheduling

Vertical-Specific

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### Data Visualization
While some users appreciate the time-saving benefits of Inzata Analytics for manipulating data and creating dashboards, others find challenges in dealing with outdated dashboards and complex mechanisms like date range entry. The platform's ease of use is highlighted by some, yet the need for more user-friendly dashboard building processes is a common concern among users. Despite mixed opinions, the general consensus leans towards acknowledging Inzata Analytics' potential for enhancing data visualization capabilities with further improvements.

### Data Integration
Users generally agree that Inzata Analytics excels in unifying data from various sources. They appreciate the tool's ability to effortlessly connect to APIs, cloud storage, and different systems, enabling smooth and reliable data analysis. Inzata's data integration capabilities have been praised for simplifying data pipelines, automating data unification, and providing a comprehensive view of customer data. Users find that the tool significantly reduces the time spent on data cleaning, aggregation, and transformation, making it a valuable asset for generating ad-hoc reports and distributing data effectively to end users.

### Data Cleansing
Users consistently praise Inzata Analytics for its ability to simplify and streamline data cleansing processes. The platform's innovative tools and smart framework for integrating disparate data sources have garnered positive feedback, with users highlighting how Inzata can significantly reduce the time and effort required for data cleaning and integration tasks. The ease of unifying data from multiple sources in a matter of minutes, a process that traditionally took hours or even weeks, has been a key selling point for users seeking efficient data cleansing solutions.

### User Support and Training
Users appreciate the quick responses and availability of the support team at Inzata Analytics, highlighting the ease of access to assistance when needed. The platform's training resources, including walkthrough videos and knowledgeable support staff, have been instrumental in helping users navigate any learning curves and optimize their use of the tool. While some users mention the abundance of tools leading to potential complexity, the user training provided by Inzata helps mitigate this issue by guiding users on efficient tool utilization.

### Software Customization
While some users appreciate the level of customization offered by Inzata Analytics, others feel that there is room for improvement in terms of providing more flexibility in workflows and integration options. The software's lack of support for advanced statistical features has also been noted as a drawback by certain reviewers. In summary, opinions on Inzata Analytics's software customization capabilities are mixed, with some users finding it satisfactory while others believe there is potential for enhancement.

Inzata has been a valuable tool for solving critical problems and delivering substantial benefits in data analytics. Users have found that Inzata easily connects to APIs and cloud storage, allowing them to integrate data from multiple sources and make informed business decisions. Its ability to automatically unify data from different systems has simplified data pipelines, saving users valuable time in the process. This tool has also proven to be instrumental in consolidating and correlating data from various sources, providing users with a fuller picture of their customers and improving decision-making. Inzata's predictive analysis capabilities have allowed users to increase their spending budget, reduce downtime, and take precautionary measures. Additionally, features like automated data manipulation and trigger-based email notifications have helped users save time and improve efficiency. Overall, Inzata has provided a game-changing solution for users by streamlining data integration and analysis processes, enabling them to utilize their data more conveniently, visualize trends, and optimize sales funnels.

Helpful Data Analysis Tool: Users have found Inzata to be a helpful data analysis tool, with several reviewers stating that it has assisted them in answering their data analysis questions and recommended it for all users.

Wide Range of Connectors and APIs: Many users appreciate the wide range of connectors and APIs offered by Inzata, which allows them to easily connect to databases, cloud platforms, and other repositories. This flexibility in integration options makes it convenient for users to access and analyze data from various sources.

Simplifies Data Processing and Transformation Tasks: Several reviewers mentioned how Inzata simplifies their data processing and transformation tasks. They appreciated features such as data cleaning, wrangling, filtering, and aggregation that help streamline their analysis process.

Cyfe is all-in-one dashboard software for analyzing data from online services like Google Analytics, Salesforce, AdSense, MailChimp, Amazon, Facebook, etc, from Traject.

Starter

Premier

Standard

SAP Analytics Cloud for Business Intelligence

SAP Analytics Cloud for Planning

Inzata Analytics

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Inzata is a full-service platform for all of your data analysis needs, no extra software required!

Inzata Analytics, LLC

Simply upload any file, from any source, into your LDM and watch our AI powered platform do the work for you, integrating all of your unorganized data into a clean data model in minutes. Visit inzata.com to see a full demonstration.

Inzata Data Analytics - AI Powered Data Modeling

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

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.

Inzata Analytics

Overview

What is Inzata Analytics?