The Rise Of Decision Intelligence

Decision Intelligence is an information technology (IT) approach to decision making, strategy and planning. In this article, read more about the approaches that enable today’s enterprises to make decisions more effectively than ever before.

What is Decision Intelligence?

Decision intelligence is a term that is becoming increasingly popular in the business world. It refers to the ability to make decisions based on data and analytics. This type of intelligence allows businesses to make better decisions about their products, services, and customers. 

There are many benefits to using decision intelligence. Perhaps the most obvious benefit is that it can help businesses save time and money. By making decisions based on data, businesses can avoid wasting time on guessing or trial and error. In addition, decision intelligence can help businesses improve their customer service by making sure that they are providing the best possible experience to their customers.

Another benefit of decision intelligence is that it can help businesses make more informed decisions about their marketing efforts. By understanding how customers interact with your product or service, you can more effectively target your marketing messages and improve your conversion rates.

Overall, decision intelligence provides a number of advantages for businesses. If you are not already using this type of intelligence in your business, now is the time to start!

Why Decision Intelligence?

There are many reasons why decision intelligence is on the rise. For one, data is becoming more and more available, and decision-makers are realizing that they can use this data to make better decisions. Additionally, artificial intelligence and machine learning are becoming more sophisticated and able to help humans with decision-making. Finally, organizations are starting to realize that they need to be more agile and responsive to changes in the market, and decision intelligence can help them do that.

Augmented Analytics and Continuous Intelligence

The term “augmented analytics” was coined by Gartner in 2017 to describe the use of machine learning and natural language processing to help people make better decisions. The goal of augmented analytics is to make data-driven decision making more accessible and efficient by automating the process of data preparation, feature selection, model training, and model deployment.

Continuous intelligence is a related concept that refers to the real-time analysis of data to support decision making. Continuous intelligence systems are designed to ingest data from multiple sources, analyze it in near-real-time, and provide actionable insights to users. 

Augmented analytics and continuous intelligence are often used together to provide a complete picture of an organization’s data and enable timely, informed decision making.

What are the Benefits of Decision Intelligence?

There are many benefits of Decision Intelligence, including the ability to make better decisions, improved decision making process, and increased transparency.

Decision Intelligence enables organizations to make better decisions by providing them with the right data at the right time. This allows organizations to save time and resources that would otherwise be spent on gathering and analyzing data. In addition, Decision Intelligence provides an unbiased view of data, which can help reduce decision bias.

Improved decision making process is another benefit of Decision Intelligence. By using Decision Intelligence, organizations can streamline their decision making process and make it more efficient. In addition, Decision Intelligence can help organizations improve their communication and collaboration around decision making.

Increased transparency is another benefit of Decision Intelligence. By using Decision Intelligence, organizations can provide greater transparency into their decision making process. This can help build trust with stakeholders and improve communication around decisions. 

Who Should Use Decision Intelligence?

Decision intelligence is a field of AI that is concerned with making decisions based on data. Its goal is to provide decision-makers with the ability to make better decisions by using data.

There are many different fields which are connected to decision intelligence, but all share the same basic goal: to help decision-makers make better decisions.  

Some examples of the connected fields to decision intelligence:

Predictive analytics: This type of decision intelligence related field uses data to predict future events. It can be used to identify trends and patterns, and to make decisions about what will happen in the future.

Prescriptive analytics: This field uses data to recommend actions that should be taken. It can be used to optimize processes, or to recommend the best course of action in a given situation.

Descriptive analytics: This type of decision intelligence related field uses data to describe what has happened in the past. It can be used to understand why certain events have occurred, or to identify trends and patterns.

Decision trees: This field uses a tree-like structure to represent different possible courses of action and their outcomes. Decision trees can be used to find the optimal course of action in a given situation, or to evaluate different options before making a decision.

Bayesian networks: It uses probabilities to represent different possible states of the world. Bayesian networks can be used to find the most likely outcome. 

What are the Considerations for Becoming a Successful User of Decision Intelligence?

When it comes to decision intelligence, there are a few key considerations to keep in mind if you want to be successful. First and foremost, you need to have access to reliable data. This data can come from a variety of sources, including market research, customer surveys, financial reports, and so on. It’s important to have as much information as possible so you can make the most informed decisions possible.

Another key consideration is your company’s culture. Decision intelligence needs to be supported by company leaders in order for it to be successful. If your company isn’t supportive of data-driven decision making, then it’s unlikely that you’ll be able to implement it successfully. You need buy-in from the top down in order for decision intelligence to work.

Finally, you need to have the right tools in place. There are a number of software platforms and tools out there that can help you with decision intelligence, but it’s important to find one that fits your specific needs. If you don’t have the right tools, you won’t be able to effectively collect and analyze data, which will limit your ability to make good decisions.

If you keep these three considerations in mind, you’ll be well on your way to becoming a successful user of decision intelligence. 


The rise of decision intelligence is inevitable in the age of big data. With the advent of new technologies, we are now able to process and analyze vast amounts of data much more efficiently. This has led to a new era of decision-making, where organizations are able to make better decisions based on evidence and data. In this new landscape, businesses that embrace decision intelligence will have a significant competitive advantage.