MicroChannel

Active Intelligence

Active Intelligence: The Next Era in Business Intelligence

Today’s digital economy demands that people and systems be armed with real-time and up-to-date information with the ability to make informed actions instantly.

Organisations require a much more dynamic relationship with information. Traditionally, passive Business Intelligence (BI) relies on pre-configured, historical data sets which are not designed to support real-time decision-making and actions.

Introducing Active Intelligence:
Context-Rich, Real-Time Insights Inform Smarter Decisions and Trigger Automated Actions

Active Intelligence is a new paradigm to create up-to-date awareness about every aspect of your business. Qlik’s data integration and analytics platform delivers continuous intelligence from up-to-date information designed for you to take immediate actions.





The Difference Between Active Intelligence and Traditional BI


Active Intelligence

  1. Based on continuous intelligence from up-to-date information
  2. Establishes an intelligent analytics data pipeline enabling the reflection of dynamic business content and logic
  3. Designed to trigger immediate actions

Traditional BI

  1. Uses pre-configured, curated data sets
  2. Lacks a governed, end-to-end analytics data pipeline, leveraging automation to produce business-ready data
  3. Designed to inform and not to encourage action

How does Active Intelligence work?

Active Intelligence makes information available whenever it is needed for quick decision-making. It combines all data to reflect the pulse of the data and delivers up-to-date insights via automated metrics or within dashboards.


Intelligent analytics data pipelines

A unified pipeline closes the gaps between data ingestion, integration, delivery, analytics, collaboration and storytelling. This creates a multidirectional conduit for continuous information flow, delivering fresh, clean data to users almost as soon as it comes in the door.

Delivering real-time, up-to-date information

Active Intelligence relies on a data analytics platform that supports a full range of use cases embedded directly into business and machine-driven processes. Augmented analytics surface real-time events and predictions. And collaboration happens across the entire data pipeline.

Designed to trigger immediate actions

Active Intelligence enables informed decision-making and impelled action with dynamic alerting and event triggering and orchestrated actions when specific conditions arise.







Active Intelligence in action

Below are examples of Active Intelligence in different applications across varied industries

Supply Chain Optimisation

Value-based Healthcare

Personal Customer Experiences

Fraud Detection & Monitoring

Predictive Maintenance with IoT

Emergency Planning & Logistics



Platform for Active Intelligence


Data Integration

Organisations collect huge amounts of data. However, most of the data may not be analytics-ready or accessible for decision making. Qlik operationalise DataOps for analytics, turning raw data into trusted, actionable data that’s easy to find, current, and immediately available to Qlik Sense®, Tableau, PowerBI, and beyond — on any cloud you choose.

Analytics

Empower users to freely explore data with powerful AI combined with the industry’s most powerful analytics engine, Qlik Sense®. Bring actionable insights into every decision with the industry’s most complete platform for modern BI – on our cloud or anywhere you choose.




BI Evaluation Guide: How to Choose a Modern Analytics Platform

BI evaluation guide qlik

Businesses everywhere use analytics to transform, reinvent customer experiences, reimagine processes, discover new opportunities & revenue streams, and find new ways to gain an advantage. In today’s economy, all businesses need data and analytics to lead and thrive.

This guide is designed to help you choose the best analytics platform for your business. It will start with high-level considerations like value, stakeholders, and total cost of ownership(TCO). Then it will cover a broad range of analytics use cases and key evaluation criteria for each. Finally, it will look at broader platform capabilities and additional considerations like training, support, adoption, and pricing models.

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