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Decision Intelligence

Decision Intelligence Engineering

Decision Intelligence Engineering

Solutions for Information Management at a Data Organizational Level

Decision Intelligence is a new academic discipline that helps people use data to improve their activities.

In the era of artificial intelligence, it is a fundamental science due to the fact that it allows you to guide projects responsibly and to design objectives, metrics and safety networks for large-scale automation. The implementation of Decision Intelligence solutions in corporate flows offers the integration of machine learning algorithms in decision-making and organizational processes.

Intelligent decision-making models therefore help companies make profitable decisions in complex scenarios such as the one represented by Big Data. The implementation of Decision Intelligence solutions in corporate flows offers the integration of machine learning algorithms in decision-making and organizational processes.

Big Data Analysis

The current digital transformation process has allowed companies to be able to access the world of Big Data. With the term Big Data, we mean a large amount of data from which, given their complexity, it is difficult to extrapolate all their useful information. 

Big Data stands out for a few specific features:

  • Volume: it generates an amount of data to the order of Terabytes (TB) per day
  • Variety: the data is made of various different types and formats
  • Speed: IBM estimates that more than 90% of existing data have been created in the last 2 years until today
  • Value: One of the most important aspects of big data is precisely the identification of a high hidden value within a large number of data, varied and rapidly growing

Big Data is so precious for companies because, beyond the numerical dimension, in the modern era the data become primary and central aspects in the decision-making process. But the importance of Big Data goes hand in hand with the digital transformation process and the evolution of data analysis methodologies such as Machine Learning and Deep Learning techniques.

Data analysis and data management projects in the corporate environment allow you to reach numerous goals, including the following:

  • increase in sales
  • reducing the Time to Market
  • improving engagement with the customer
  • expanding and optimizing the offer
  • reducing costs
  • getting real-time analysis

 
The analysis of Big Data therefore offers companies great opportunities and generates a huge competitive advantage.

The Importance of Decision Intelligence Engineering

The Importance of Decision Intelligence Engineering

Decision Intelligence Engineering is a strongly strategic sector for companies, and integrate previously separate disciplines. The focus of Decision Intelligence is to use technology to solve important and difficult problems and to support decisions.

Today the pioneers of DI, among whom there’s Google’s Cassie Kozyrkov, are facing the highly difficult problem of crystallizing this discipline and working on understanding and improving the decision-making process.

Gartner expects that by 2023 more than 33% of large companies will have analysts who will be practicing Decision Intelligence. This discipline will allow you to develop, model, align, implement, monitor and modify models and decision-making processes related to business results and performance. 

Gartner
https://www.ciodive.com/news/gartner-data-trends-2020-rita-sallam/587790/

In this perspective, even dashboards, a ubiquitous instrument in the analysis platforms based on artificial intelligence, will abandon the KPIs and predefined relations in favor of techniques such as increased analysis and the processing of natural language.