How To Explain Business Intelligence

How To Explain Business Intelligence

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How To Explain Business Intelligence – Business intelligence (BI) doesn’t seem like a technology term that needs much introduction. It doesn’t sound very technical: We know what business is, and we know what intelligence is – put it all together and you get what is it, intelligent business?

Actually not that far. The challenge in defining, understanding, and explaining BI is that the term tends to be abstract. However, the bottom line is: Helping people and organizations make smarter decisions based on all the relevant information available to them.

How To Explain Business Intelligence

Today, every company in the world has to be ‘data-driven,’” said Amy Hodler, director of the graph analytics and AI program at Business intelligence is how companies actually achieve that.”

BI vs. Big Data

Consider insanity(with a capital B and a capital D): You can have the greatest data, but it won’t mean much unless you can translate that data into usable information. BI is essentially a discipline (with a corresponding category of platforms and tools) that aims to make data-driven strategy and decision-making possible, not just lip service.

Business intelligence refers to the strategies and technologies used by companies to analyze valuable business data beyond simple traditional reporting.”

Business intelligence refers to the strategies and technologies used by companies to analyze valuable business data beyond traditional simple reporting,” said Bill Szybillo, business intelligence manager at. “Data is the most valuable asset in industry today, and when used correctly and securely, it is the best way for company leaders to make informed decisions.”

Let’s add some clear definitions that focus on the “what” and “why” of BI. Use this to refresh your understanding of the concept or to help explain BI to a wider audience of stakeholders in your organization.

Business Intelligence (BI), Explained: 4 Definitions

1. “Business intelligence is the process of bringing together all types of information a company has in a way that is relevant to the question or opportunity at hand – from customer behavior to manufacturing performance to employee productivity – and using it to make important decisions that will result in greater profits and competitive advantage in the company’s industry.

2. “BI unlocks the power of data. By itself, data may not reveal much, and it will not drive consensus, reveal problems, or inspire solutions. But business intelligence has transformed companies, enabling them to gain insights and make informed decisions. real time.

3. “Simply put, business intelligence collects data from multiple sources, both internal and external, [and] transforms and normalizes that data to provide valuable, actionable insights for making data-driven business decisions.Dennis Faust, business intelligence & analytics manager at

4. “Business Intelligence is poised to generate more value in the future with more data exchange between companies. The digital ecosystem is one that can grow in an open and collaborative environment, generating more meaningful insights for the end consumer. This can be patient in the healthcare ecosystem, a consumer walking into a retail store, a human with their device of choice, or a passenger in their preferred transportation, etc. Culture is often a barrier to the advancement of such collaboration compared to the mindset that data managers across the enterprise will determine value that Business Intelligence can deliver in the future.”Red Hat Chief Architect and Strategist, North America

The main takeaway from this: BI takes raw data that most people can’t understand and turns it into understandable information so they can use it to do their jobs well.

What is BI software?

There is a wide range of BI technologies, from complete platforms to specific BI tools to applications embedded within other applications (such as CRM or ERP systems.)

Common business intelligence applications include data analysis, supply and demand planning, predictive analysis, and warehouse management systems.

Some of the most common business intelligence applications are data analysis tools, supply and demand planning tools, predictive analytics, and warehouse management systems,” says Szybillo. These automated applications take time-consuming and tedious tasks off employees’ hands, so they can spend valuable time

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