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Active Intelligence: Get more from your Business Intelligence

Active Intelligence: Get more from your Business Intelligence

In today’s fast-moving digital-first economy, it’s more important than ever for businesses to react instantly to threats, problems, and shifting market trends. 

By identifying and responding to issues quickly, organisations can keep up with rising consumer demands for instant gratification. In doing so, they can increase customer satisfaction levels and boost their brand’s competitiveness in the market.

This is where access to real-time data becomes crucial. Research has found that 94% of organisations consider data analytics solutions vital for their growth. To enable immediate action, the world of BI has had to adapt and evolve by providing updates moment by moment.

The passive approach of traditional BI cannot keep up with today’s fast-moving and data-driven demands. Active Intelligence uses Machine Learning (ML) to enable real-time insights and ensure businesses respond quickly to emerging events.

At Vizlib, our data visualization solutions amplify Active Intelligence via ‘Qlik Active’, empowering teams to know sooner and act faster.

In this article, we will explore the key differences between Active Intelligence and traditional Business Intelligence. We will also help you understand how Active Intelligence could benefit your business and make your data more valuable. Read on to find out more, or learn about another piece of the puzzle – Decision Intelligence – in our recent blog, here.

What are the key differences between Active Intelligence and BI?

The main difference between Active Intelligence and Business Intelligence lies in the former’s real-time agility and its power to respond to issues as they evolve. 

While Business Intelligence (BI) enables users to analyse historical data to identify trends and drive long-term decision-making, Active Intelligence uses Artificial Intelligence (AI) and Machine Learning (ML) to provide a state of continuous intelligence. As a result, AI improves the data quality and collaboration for faster and more accurate business decisions.

Let’s explore some of the key differences between traditional BI and Active Intelligence, including the benefits Active Intelligence could bring to your BI capabilities:

Benefits of Active Intelligence

Real-time data enables instant action

Today’s forward-thinking businesses have moved beyond the use of historic data for reactive analysis, instead opting for a more dynamic and proactive approach to data analytics.

Traditional BI relies on passive data typically siloed to different parts of an organisation and often managed by IT teams. It involves analysing past data points using pre-configured data sets to help educate and inform users for a more long-term approach to improving business operations.

Active Intelligence embeds real-time, up-to-date information into business processes generating active data points and encouraging instant action based on insights and predictions that arise.

Allowing collaboration

With traditional BI, collaboration efforts can be fairly limited. Data sharing across teams usually only occurs at the end of the process once data is analysed and decisions need to be made.

In today’s digitally switched-on workforce, where remote working is becoming the norm, 83% of employees rely on technology for collaboration. 

Active Intelligence encourages collaboration by allowing all users within an organisation (not just data owners or IT teams) to read and access data simultaneously and instantly share insights.

Data literacy and improving decision making

In the past, businesses have had to employ digitally-skilled professionals to read and understand data. As such, data literacy was confined to people who were trained in specific analytics tools and technologies.

Today, data literacy skills are important for all employees to have access to. Research by Forbes found that 82% of leaders expect all employees to have basic data literacy,  However, the same study found that only 40% receive data literacy training from their employer. 

Active Intelligence can help employees read and understand data through Natural Language Processing (NLP) and conversational analytics. Users can ask questions about data (and receive detailed responses), generate dashboards, and easily understand and interpret data to make more informed business decisions.

Automation and deeper insights

Often, standard BI lacks a managed, end-to-end data pipeline, with analytics reports often housed in separate dashboards. Automation has been confined to the analytics environment and only generates descriptive insights.

Active Intelligence leverages automation in a far more powerful way, triggering deeper informed actions as soon as the BI platform flags an issue. This level of automation can take place anywhere in the organisation, not just in the analytics environment.

Improved data quality drives cost-effectiveness

Due to the often siloed nature of traditional BI processes, data insights are more at risk of being inaccurate, affecting both data quality and the value of an organisation’s data.

Active Intelligence is dynamic rather than static, boosting data value and improving forecasting capabilities – meaning businesses have better visibility of spend.

The cloud-based nature of Active Intelligence also reduces overhead costs and increases profit margins.

Strategy and product development

Keeping up with ever-shifting market changes is crucial when it comes to optimising strategies and developing or updating product lines. However, traditional BI doesn’t provide real-time updates on market trends meaning businesses could easily fall behind the curve.

Active Intelligence provides the ability to make educated adjustments to strategy, processes, and products from one minute to the next.

Active Intelligence platforms: How Vizlib x Qlik can support your team

Qlik  is a leader in Analytics and BI. Its platforms, such as Qlik Sense and QAI, use Active Intelligence and Active Analytics to provide continuously up-to-date, real-time information, triggering informed and immediate action at the right moments.

Visualization is a crucial part of supporting business decisions by presenting insights in a way that’s easy to understand and interact with. Vizlib Library is a powerful visual analytics tool for QlikSense that  leverages a no-code approach to take organisations from data insights to data storytelling in moments.

Vizlib takes your Qlik Sense environment to the next level by creating visually powerful interactive dashboards that can enhance your employees’ data literacy with minimal training.

Why Vizlib?

Vizlib’s data visualization solutions supercharge your Qlik Sense Analytics by making data insights visually appealing and easy to digest for anyone in your organisation – improving collaboration and decision-making. To get started, sign up for free today.

What’s the fitness of your data visualization? Take our online survey to find out here. 

Unlock the power of Qlik Cloud. Vizlib enhances the capabilities of data visualization and analytics to give you unparalleled insight, so you can know faster and act sooner.

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