Alteryx Analytics Services Training Support in Dubai AbuDhabi UAE

Alteryx Analytics is a business intelligence and predictive analytics solution. The vendor’s value proposition is that their solution provides analysts with the unique ability to easily prep, blend, and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. According to the vendor, analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets, and other sources; easily join this data together, then perform analytics – predictive, statistical, and spatial – using the same intuitive user interface, without writing any code. Additionally, the vendor says thousands of companies and data analysts worldwide rely on Alteryx daily.

Alteryx Analytics Features

BI Platform Features

Administration via Windows App
Live Connection to External Data
In-memory data model
Multi-Data Source Reporting (Blending)
ETL Capability
ETL Scheduler

Supported Data Sources Features

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
SAP Hana
Teradata
Salesforce
SAP
Google Analytics

BI Standard Reporting Features

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

Customizable dashboards

Ad-hoc Reporting Features

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

Drill-down analysis
Formatting capabilities
Predictive modeling
Integration with R or other statistical packages
Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

Publish to Web
Publish to PDF
Output Raw Supporting Data
Report Delivery Scheduling

Data Discovery and Visualization Features

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

Location Analytics / Geographic Visualization
Predictive Analytics
Integration with R or other statistical packages

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

Meaningful and actionable definitions of BI
Effective ways to deliver BI: Web, mobile, desktop, etc.
Common kinds of BI reporting: ad hoc, published, enterprise, and operational
Performance management principles, including dashboards, scorecards, and KPIs
Business analyst principles, including OLAP, analytic modeling, and data visualization
Advanced analytics concepts for data mining, predictive analytics, and text analytics
Data management practices, including profiling, cleansing, and quality management
Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
BI/DW managers and leaders seeking to increase the value and business impact of a BI program
Business andtechnical people who need to work together to implement BI
Teams that need to develop a common base of concepts and terminology for BI