Alteryx is the launchpad for automation breakthroughs. Be it your personal growth, achieving transformative digital outcomes, or rapid innovation, the results are unparalleled. The unique innovation that converges analytics, data science and process automation into one easy-to-use platform, empowers everyone and every organization ​to make business-altering breakthroughs the new status quo.​ 
 
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Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered (known as the "three v's" of big data). Big data often comes from data mining and arrives in multiple formats.

Big Data

Collaboration

Data Blends

Data Cleansing

Data Mining

Data Visualization

Data Warehousing

High Volume Processing

Predictive Analytics

Templates

Data Warehousing 

No-Code Sandbox 

Business intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes the data produced by a company’s activities. BI is a broad term that encompasses data mining, process analysis, performance benchmarking, and descriptive analytics.

Business Intelligence

Benchmarking

Budgeting & Forecasting

Performance Metrics

Ad Hoc Reports

Dashboard

Data Analysis

Key Performance Indicators

Profitability Analysis

Strategic Planning

Trend / Problem Indicators

Visual Analytics

Trend / Problem Indicators 

Profitability Analysis 

 Ad Hoc Reports

Natural Language Generation (NLG)

 Strategic Planning

Dashboard 

 Trend / Problem Indicators

Data analysis is the process of cleaning, changing, and processing raw data, and extracting actionable, relevant information that helps businesses make informed decisions. The procedure helps reduce the risks inherent in decision-making by providing useful insights and statistics, often presented in charts, images, tables, and graphs.

Statistical Modeling

Data Discovery

Sentiment Analysis

Text Analytics

Regression Analysis

Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems. It is “governed” through internal data standards and policies that control data usage, and effective governance ensures that data is trustworthy, consistent, and does not get misused.

Data Governance

Access Control

Policy Management

Process Management

Roles Management

Data Mapping

Data Profiling

Email Management

Deletion Management

Storage Management

Data Discovery 

Data management refers to the professional practice of constructing and maintaining a framework for ingesting, storing, mining, and archiving the data integral to a modern business. Data management is the spine that connects all segments of the information lifecycle.

Data Management

Data Quality Control

Master Data Management

Customer Data

Data Integration

Data Security

Information Governance

Match & Merge

Data Capture

Data Migration

 Match & Merge

Data Extraction

Fraud Detection

Linked Data Management

Machine Learning

Predictive Modeling

Semantic Search

Statistical Analysis

Text Mining

Data Preparation

Collaboration Tools

Data Access

Data Blending

Data Mashup

Data Modeling

Data Transformation

Visual User Interface

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Deep Learning

ML Algorithm Library

Model Training

Natural Language Processing (NLP)

Statistical / Mathematical Tools

Visualization

Predictive analytics is a branch of advanced analytics that makes predictions about future events, behaviors, and outcomes. It uses statistical techniques – including&nbsp;machine learning &nbsp; algorithms and sophisticated predictive modeling – to analyze current and historical data and assess the likelihood that something will take place, even if that something isn’t on a business’ radar.&nbsp;

AI / Machine Learning

Demand Forecasting

For Education

Modeling & Simulation

For Healthcare

Statistical analysis is the process of collecting and analyzing data in order to discern patterns and trends. It is a method for removing bias from evaluating data by employing numerical analysis. This technique is useful for collecting the interpretations of research, developing statistical models, and planning surveys and studies.

 Analytics

Association Discovery

Compliance Tracking

File Storage

Forecasting

Statistical Simulation

Time Series

Analytics

Multivariate Analysis

Survival Analysis

File Management

Statistical Process Control

A data catalog is a metadata management tool that companies use to inventory and organize the data within their systems. Typical benefits include improvements to data discovery, governance, and access.

Data Catalog

Data Science

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About Up Alteryx

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About Up Alteryx

About Alteryx Project on Cloodo

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Other listing with the same category with Alteryx.css-1mhxw9w{margin:0;font-family:"Roboto","Helvetica","Arial",sans-serif;font-weight:400;font-size:1rem;line-height:1.5;letter-spacing:0.00938em;color:#5c5c5c;margin-top:5px;}You may want to download some other project

Other listing with the same category with Alteryx
You may want to download some other project