Active Intelligence: How to move from a passive business to an active business

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Active business intelligence has become the cornerstone of today's profitability . Modern companies must make use of this working methodology and employ real-time strategies to make data-driven decisions.

The profitability of Active Intelligence in business
Modern companies are experiencing periods of growth, evolution and new connections like never before.

This context of unusual volume of data must be treated as such: a key moment to take advantage of and enhance the business through AI-based tools, democratization of information and the use of active intelligence .

In today’s “always on” world, where a “right now” mentality pervades business, a company’s employees and customers expect managers and executives to make decisions and act efficiently and effectively.

Ultimately, real-time decision making is an asset that should not be missing in your organization because it creates real value that drives business transformation.

But how to achieve this? How to change from a passive Algeria Phone Number Lead business state to an active intelligence that enhances it ?

To better understand the challenges and everything that digital transformation entails, it is important to focus on the following point: business leaders are aware of today's competitiveness, the challenge of being part of a changing market, and that data governance is essential for success.

Today, data is the lifeblood of an entity, it is constantly changing and offers a wealth of possibilities. Realizing the value of data in an organization is synonymous with active intelligence .

This involves managing data differently, establishing a culture of informed action within the company, where humans and technology make decisions together to build an intelligent pipeline of analytical data that can generate real-time reactions, securing the business.

Active Intelligence: Navigating Uncertainty Through Informed Action
The pandemic has raised questions that still have no clear answers: Will there be competitiveness after Covid-19? How will climate change continue after this disaster? Are companies prepared to face the new post-pandemic challenges?

Although the answers are still vague, the fact is that the dynamic competitiveness of the current business environment means that decision-makers at all levels of an organization must act as soon as possible.

It becomes essential for leaders to adopt a strategy that allows them to navigate uncertainty through informed actions , making use of online data mining and analysis.

Most data engines tunnel through analytics: the focus is on the exact location of the query, clouding potential insights from adjacent, equally important information.

So when it comes to thinking about making decisions in the face of radical uncertainty, we are blinded by focus.

Data breadth beyond focus can be just as profitable as depth . Zooming out to see the bigger picture allows us to see not only context, but also insights across multiple perspectives.

An example of this are the reports from some governments in relation to Covid-19 that allowed them to monitor and control hospitalizations thanks to the fact that they were identified before they occurred.

Connecting data points from upstream and downstream analytics can be fruitful because better outcomes can be achieved through increased collaboration.

For example, consider the task of building a house: The architect produces the plans, and then the worker builds the structure. But what if the architect and the worker collaborated on both the design and the construction process? Complexity and costs are reduced, and construction will be completed on time.