Applications

Business Intelligence Software Market Provides an in-Depth Insight of Sales Analysis, Growth Forecast and Upcoming Trends Opportunities by Types and Applications | Jul 7, 2020

New York, NY — (SBWIRE) — 07/07/2020 — The Report on Global Business Intelligence Software Industry Cover key developments in the Business Intelligence Software Market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market payers from Business Intelligence Software Market are anticipated to lucrative growth opportunities in the future with the rising demand for Business Intelligence Software Market in the global industry.

Get Sample Copy on Covid -19 Effects on Global Business Intelligence Software Market @ https://www.marketgrowthinsight.com/sample/88516

The prominent players in the Business Intelligence Software Market are focusing on developing partnerships to widen their product portfolio and offering advanced products to

Read More

Business Intelligence Applications | Application Of BI In 2020

Have you ever wished you could get a glimpse into the inner workings of your organization to understand more about how and why things happen? Well, I’ve got great news for you — you can! Business intelligence tools give you just this opportunity, but they can do much more! For those who’ve wondered what BI is good for, this article highlights the four main business intelligence applications and what it can do for your business.

Origin of Business Intelligence Applications

The uses of business intelligence tools to enhance your business operations is not a new concept. In fact, the phrase business intelligence goes back to the 1800s when the term was first used in a book to describe the way a financier had been outsmarted by competitors who used knowledge of the market to play it. Of course, we’ll be operating from a more modern understanding of the term: BI,

Read More

Business Intelligence Concepts, Tools, and Applications

This is the fourth course in the Data Warehouse for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will gain the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer. You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy’s Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.

Read More

OBIA Oracle Business Applications Statement of Direction

Please read the updated knowledge article below regarding Oracle Business Intelligence Applications Statement of Direction; released in March 2019.

OBIA: Oracle Business Intelligence Applications Statement of Direction

(Doc ID 2515201.1)

This intent of this document is to provide the following:

  • Overview of the product direction and roadmap of the OBIA line of products.

  • Provide answers to questions relating to Oracle’s business analytics strategy, the impact on Oracle BI Applications’ customers and specific recommendations to customers who are using the products.

  • For complete details please download the Statement of Direction (SOD) that is attached to the document.

 

References:

  • OBIA: Oracle Business Intelligence Applications Statement of Direction (Doc ID 2515201.1)

  • Lifetime Support Policy: For the planned new point release, Oracle plans to extend Oracle BI Applications Lifetime Support Extended Support dates an additional two years to at least June of 2023.

 

As a reminder….

To assist in locating an article

Read More

6 Examples of AI in Business Intelligence Applications

Artificial Intelligence in Business Intelligence 950×540

Enterprise seems to be entering a new era ruled by data. What was once the realm of science fiction, AI in business intelligence is evolving into everyday business as we know it. Companies can now use machines algorithms to identify trends and insights in vast reams of data and make faster decisions that potentially position them to be competitive in real-time.

It’s not a simple process for companies to incorporate machine learning into their existing business intelligence systems, though Skymind CEO and past Emerj podcast guest Chris Nicholson advises that it doesn’t have to be daunting. “AI is just a box,” he says. “Math and code. If this, then that. That is the simplest way to describe it.” Organizing data collection and testing an algorithm with this data for accuracy over the first few months are is where many businesses get stuck.

But as AI has gained momentum, prominent application

Read More

15 Business Intelligence Examples & Applications To Know

In 2019, data drives everything — so much so that a Google search for “data drives everything” yields 169 million results. (“Data drives nothing” turns up only 107 million, in case you were wondering.) 

That’s especially true in the business world, which creates a Catch-22 for professionals without statistical training. They can’t ignore the data their company collects on web traffic, sales, consumer behavior and more — often referred to by the umbrella term “business intelligence” — but confronting an unmediated database  can be overwhelming. (Even Microsoft Excel gets flummoxed by the modern profusion of data, hence the rise of big data platforms.)

Business intelligence software offers a solution. It functions as a user-friendly skin over a database, translating its contents into digestible, actionable insights that people without data science degrees can grasp. Unsurprisingly, business intelligence software plays an essential role in organization-wide data cultures, which aren’t specific to tech

Read More

Business Intelligence Tutorial – Learn Latest BI Features & Applications

Today, we are exploring the term Business Intelligence or BI which is becoming popular with each passing year. It is important for the management and employment of data. So, in this Business Intelligence Tutorial, we will explore the history, versions, features, and functions of BI. Moreover, we will cover the applications and the advantages & disadvantages of Business Intelligence.

So, let’s start a Business Intelligence tutorial.

Business intelligence tutorial

Business Intelligence Tutorial

2. What is BI?

Since the advent of technology, man has been doing technological wonders. One such technology is data science which surfaced during mid-1900sand has been spreading its roots since then. With increased data load emerged the need of organizing, storing and drawing useful insights from it in order to enhance business value. Which introduced concepts of Business Intelligence in the picture.

The term Business Intelligence refers collectively to the tools and techniques used for the collection, integration, analysis and

Read More

What is Business Intelligence? – Database Trends and Applications

Business Intelligence (BI) systems are used to improve an enterprise’s decision making by combining tools for gathering, storing, accessing, and analyzing business data. While traditional features for querying, reporting, and analytics have long been the core focus of these tools, BI has evolved in recent years to become comprehensive, enterprise-wide platforms, and newer trends, such as self-service BI, have helped to continue interest in this technology.

BI is a combination of the tools and systems involved in an enterprise’s strategic planning that aid in its analysis. 

These solutions provide a single source through which to analyze a company’s disparate data sources, permitting users to execute queries without the assistance of technical staff. Over the past several years, they have evolved from narrowly focused query and reporting tools to enterprise-wide platforms. The resulting single source offers not only current, but also historical and predictive views of operations.

Sometimes referred to as

Read More