Qlik Sense Services Training Support

Name: Qlik Sense Services Training Support
Item: Qlik Sense Services Training Support
Rating: 5
Author: Qlik Sense Services Training Support

Qlik Sense® is a visual analytics platform that is designed to empower users to see the whole story that lives within their data. It supports a full spectrum of BI use cases including self-service visualization for everyone, centrally deployed guided analytics apps and dashboards, and custom and embedded analytics, all within a governed framework that offers enterprise scalability and trust for IT. The vendor says this platform offers unmatched visualization and discovery for individuals, collaboration and mobility for groups and teams, and data integration, management and governance capabilities for large organizations.

Built on the QIX Associative Data Indexing engine, Qlik Sense is designed to allow people to probe all the possible associations that exist in their data, across all their data sources, to see the whole story instead of just the partial views offered by query based or hierarchical tools. According to the vendor, Qlik Sense offers a cutting edge experience in a smart, responsive, HTML5 client that allows everyone to quickly explore information and gain critical insights, so that users are more informed and capable of acting and reacting faster.

Qlik Sense Features

BI Platform Features

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 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
ParAccel
SAP Hana
Teradata
Sage 500
Salesforce
SAP
Google Analytics

BI Standard Reporting Features

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

Pixel Perfect reports
Customizable dashboards
Report Formatting Templates

Ad-hoc Reporting Features

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

Drill-down analysis
Formatting capabilities
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 Versioning
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.

Pre-built visualization formats (heatmaps, scatter plots etc.)
Location Analytics / Geographic Visualization
Predictive Analytics
Support for Machine Learning models
Pattern Recognition and Data Mining
Integration with R or other statistical packages

Access Control and Security Features

Access control means being able to determine who has access to which data.

Multi-User Support (named login)
Role-Based Security Model
Multiple Access Permission Levels (Create, Read, Delete)
Report-Level Access Control
Table-Level Access Control (BI-layer)
Field-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

Responsive Design for Web Access
Dedicated iOS Application
Dedicated Android Application
Dashboard / Report / Visualization Interactivity on Mobile

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