Qlik Sense

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  Activity Dashboard

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  Customizable Templates

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  Trend Analysis

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  Search/Filter

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  Customizable Reports

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  Data Dictionary Management

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  Ad hoc Query

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  Reporting & Statistics

Where in GCC does Qlik Sense have offices?

United Arab Emirates.

Who are Qlik Sense customers in the Middle East?

Not available.

What is Qlik Sense local address?

QlikTech International Markets AB (DMCC Branch)
JBC 3 Building, Cluster Y,
3rd Floor, Office 301,
P.O. Box 120115,
Jumeirah Lake Towers,
Dubai,
United Arab Emirates
Phone: +971 (0)44571400.

Is Qlik Sense platform available in Arabic

Yes.

Does Qlik Sense platform use AI? And where?

Augmented Analytics: Qlik Sense leverages AI to provide augmented analytics, which enhances traditional analytics with AI and machine learning (ML) capabilities. This includes features like the Insight Advisor, which offers automated insight suggestions using natural language processing (NLP) to understand user queries and generate relevant visualizations.

Cognitive Engine: The Qlik Cognitive Engine is a core component that uses AI to improve how analytics are created. It learns from the data and user interactions to automatically suggest the best visualizations for chosen dimensions and measures. This engine powers the Insight Advisor and helps generate insights by understanding the user's intent and context.

Machine Learning and Predictive Analytics: Qlik Sense incorporates machine learning and predictive analytics through tools like Qlik AutoML. This allows users to create machine learning models, make predictions, and test what-if scenarios without needing to write code. The platform supports automated machine learning experiments, enabling users to generate models and make predictions based on historical data.

Natural Language Processing (NLP) and Natural Language Generation (NLG): Qlik Sense uses NLP to facilitate natural language interaction, allowing users to ask questions about their data in natural language and receive insights and recommendations. NLG is used to generate narrative insights and reports, making data more accessible and understandable.

Integration with Generative AI: Qlik Sense has integrated generative AI capabilities through connectors with tools like OpenAI. This integration allows users to combine Qlik's existing AI capabilities with generative AI to enhance data analysis and visualization. It enables natural language queries and the generation of insights using large language models (LLMs).

What AI does Qlik Sense use? ChatGPT, etc.?

1. Qlik AutoML: Qlik AutoML is a no-code, automated machine learning tool that allows analytics teams to create machine learning models, make predictions, and plan decisions. It identifies key drivers in historical data, auto-generates predictive models, and provides explanation data (SHAP values) at the record level. This helps users understand why predictions were made and how to influence outcomes. AutoML also supports what-if scenario testing and real-time data exploration using Qlik's Associative Engine.

2. Cognitive Engine: The Qlik Cognitive Engine enhances the analytics creation experience by learning from data and user interactions. It automatically suggests the best visualizations for chosen dimensions and measures, and powers the Insight Advisor, which proposes multiple analyses from the entire dataset. The Cognitive Engine incorporates advanced machine learning algorithms to present statistically significant insights, reducing barriers to analysis and helping users focus on actions and results.

3. Insight Advisor: The Insight Advisor is an AI-driven assistant that auto-generates advanced analytics and insights. It uses natural language processing (NLP) to understand user queries and generate relevant visualizations. The Insight Advisor also supports natural language generation (NLG) to create narrative insights and reports, making data more accessible and understandable.

4. Generative AI Integration: Qlik Sense integrates generative AI capabilities through connectors with tools like OpenAI. This allows users to leverage generative AI for natural language queries, generating insights, and augmenting analytics with external data. The integration supports real-time analytics and automation use cases, enhancing data and insights in Qlik applications.

5. Natural Language Processing (NLP) and Natural Language Generation (NLG): Qlik Sense uses NLP to facilitate natural language interaction, allowing users to ask questions about their data in natural language and receive insights and recommendations. NLG is used to generate narrative insights and reports, making data more accessible and understandable.

6. Machine Learning and Predictive Analytics: Qlik Sense incorporates machine learning and predictive analytics through tools like Qlik AutoML. This allows users to create machine learning models, make predictions, and test what-if scenarios without needing to write code. The platform supports automated machine learning experiments, enabling users to generate models and make predictions based on historical data.

7. AI and Machine Learning Connectors: Qlik Sense easily connects with top AI and machine learning tools like OpenAI, Amazon Bedrock, Azure ML, and Databricks ML. These connectors allow users to integrate external AI capabilities into their Qlik Sense environment, enhancing the platform's functionality and flexibility.

Is Qlik Sense a web3 company?

No.

Is there any web3 components?

No.