QLIK View in Predictive Analytics Software

Designed by QlikTech for business intelligence data recovery, QlikView helps organizations extract relevant information from a data set. The information thus gathered helps users create guided analytics applications. The platform utilizes a user-driven approach to business intelligence. Its interface is extremely simple to work with when building charts and generating custom dashboards reflecting upon business challenges.

Features:

  • Interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally.
  • It is also possible to access and load data from different region_ids and from different deployment modes – cloud, on-premise, or big data sources.
  • Qlik Associative Difference allows users to explore questions in QlikView apps and make associations in their data. This helps them make contextual connections in data sets that can be complex.

USP : Qlik helps enterprises around the globe move quicker, work smarter, and provide a start-to-finish answer to get an incentive out of information. QlikView helps users compare different sets of data from multiple sources and locations to deliver the most value. Its main features include, interactive participation in session-sharing is possible across different groups which enables users to share their insights formally or informally. It is also possible to access and load data from different locations and from different deployment modes – cloud, on-premise, or big data sources.

2.5
BUYERS
VENDORS
1.8
EXPERTS
2.1
ANALYSTS

QLIK View detailed analysis

Product Maturity
Company Maturity
Use Case Maturity
Most IMPORTANT
2.2
4.3
3.4
Product Quality and Reliability
1.80
4.90
3.35
Product Features and Functionality
1.60
3.85
2.80
Breadth and Depth of Product Offering
2.80
4.45
4.10
LEAST IMPORTANT LESS IMPORTANT

PARTICIPATING QUADRANTS

QLIK View has chosen it’s strengths in these 3 territories
  • Niche Quadrant

    All-Middle East and Africa

    16 Participants

  • Niche Quadrant

    All-Asia-Pacific

    19 Participants

  • Niche Quadrant

    All-Europe

    25 Participants

SECTORS
REGIONS
North America Middle East and Africa Latin America Asia-Pacific Europe
STRENGTHS
  • Product Maturity / Data Collections
    Customer Data
  • Product Maturity / Data Management
    Data Preparation (Data Management)
  • Product Maturity / Data Collections
    Geo Spatial
  • Product Maturity / Data Collections
    Marketing Data
  • Product Maturity / Data Management
    Static Visualisation
  • Product Maturity / Data Collections
    Transaction Data
  • Product Maturity / Core Features
    Advanced Condition Prediction
  • Product Maturity / Core Features
    Event Detection
  • Product Maturity / Licensing
    Licensing - Per seat
  • Product Maturity / Core Features
    Root Cause Analysis
  • Product Maturity / Core Features
    Statistical Modelling
  • Product Maturity / Core Features
    Times Series Exploration
  • Product Maturity / Core Features
    Visual Analytics Design / Code Free
  • Product Maturity / Costs & Units
    Cost - $ per license
  • Product Maturity / Delivery Mode
    APIs
  • Product Maturity / Target Users
    Application Developers
  • Product Maturity / Delivery Mode
    As a Service / Connector Free
  • Product Maturity / Target Users
    Business Analysts
  • Product Maturity / Target Users
    Consultants
  • Product Maturity / Services Offered
    Consulting
WEAKNESSES
  • Product Maturity / Services Offered / Support and Maintenanc...
    Usability
    QlikView is highly sophisticated yet can be easily used by an ordinary user. However, it can be tedious for a non-technical person to build reports that add value in decision-making. Show More
  • Product Maturity / Use Cases / Customer Data Platform
    Not Designed For Non-technical Staff
    Although QlikView exhibits great value for organizations, non-technical users are not able to extract relevant information from the available data easily. Show More
  • Product Maturity / Data Management
    Data Blending
  • Product Maturity / Data Collections
    Demographic
  • Product Maturity / Data Collections
    Firmographic
  • Product Maturity / Data Management
    Interactive Visualisation
  • Product Maturity / Data Collections
    Location [Pincodes]
  • Product Maturity / Data Management
    Report Automation
  • Product Maturity / Data Management
    Report Generation
  • Product Maturity / Product Quality and Reliability
    Custom Scripting Language
  • Product Maturity / Product Quality and Reliability
    Support for Custom Data Connectors
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Apache Spark
  • Product Maturity / Enterprise Features
    Auto-scaling
  • Product Maturity / Enterprise Features
    Cloud Hosted Data
  • Product Maturity / Core Features
    Data Investigation
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Hadoop
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Hive
  • Product Maturity / Integration with Big Data Frameworks / Da...
    Kafka
  • Product Maturity / Licensing
    Licensing - Data Volume
  • Product Maturity / Licensing
    Licensing - Hybrid
See More

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QLIK View Presence in Predictive Analytics Software

Questions & Answers

TOP REVIEWS

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Other,Company Name Classified
Other, Company Name Classified
#19 in Predictive Analytics Software

“Excellent Analytics Tool"

(*)(*)(*)(*)( )4

Easy to use and flexible design. Easy to control data manipulation through Set Anlaysis. Congested interface can be confusing and can waste time of users. Could be made more easy to use.

Perfect in speed and to manage significant volumes of data

Business Analyst,Company Name Classified
Business Analyst, Company Name Classified
#19 in Predictive Analytics Software

“Great for Companies with Many Departments"

(*)(*)(*)(*)(*)5

The software can consolidate data from various sources to create dashboards that are easy to use. Can be difficult to create dashboards. The software helps identify and collate data from multiple sources and then filter it.

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