Business intelligence platform examples how to#
Business intelligence platform examples full#
Business intelligence platform examples software#

Covering advanced Oracle Business Intelligence features, this book will teach you how to pivot data, drill it up and down, as well as display it visually in graphs. You will also learn how to build, deploy and execute reports using Oracle Reports, and integrate data from different data sources with warehousing, employing Oracle Warehouse Builder software. Along the way, we will look at how to take advantage of Discoverer Administrator, Discoverer Plus, and Discoverer Viewer for analysis and reporting. We then move smoothly onto the tools included in the Oracle Business Intelligence SE and Oracle Business Intelligence Tools packages.

This practical, example-rich guide starts by explaining concepts behind getting business information from data. This book will teach you how to find answers to common business questions and make informed business decisions as well as helping you to use Oracle Business Intelligence SE platform and prepare database for analysis.

Business intelligence platform examples software#

BI tools are types of application software which collect and process large amounts of unstructured data from internal and external systems, including books, journals, documents, health records, images, files, email, video and other business sources. The examples in this introductory guide will make you immediately familiar with tools included in the Oracle Business Intelligence package. Business intelligence tool encapsulates strategies and technologies used by enterprises for data analysis of business information. To jump start with analysis and reporting of data on an Oracle Business Intelligence SE platform and to keep the process of learning simple and interesting requires numerous annotated examples. With Business Analysis and Reporting in Oracle Business Intelligence, you can quickly learn how to put the power of the Oracle Business Intelligence solutions to work.

A flexible, multi-cloud architecture lets you scale your data while keeping governance and trust standards high.Business Intelligence (BI) is the process of obtaining business information from available data and today, most businesses use BI to control their affairs. You should also be able to access and share your dashboards between on-premise and cloud analytics deployments.

Business intelligence platform examples full#

You and your teams need to be able to work with your dashboards from anywhere at any time, with full touchscreen and interactive functionality. Today’s best dashboard software offers AI that suggests analyses for you to perform, and insights to gather from your data. All stakeholders should be able to easily explore and analyze data right from the dashboard itself. This allows you to easily combine data sets from across your organization. A true BI dashboard tool is part of an end-to-end platform that includes both data integration and data analytics capabilities. Here are five key capabilities to keep in mind as you evaluate BI dashboard software: Modern BI dashboards incorporate augmented analytics, which uses artificial intelligence and machine learning to bolster human intuition by suggesting insights and analyses and allowing search and natural language interaction.Ī modern business intelligence tool makes it simple for you to produce custom, interactive business intelligence dashboards that go way beyond tracking KPIs and visualizing data.

The best tools offer an associative engine which allows users to freely explore all connections within the data rather than being limited to linear queries. Self-service BI allows anyone in your organization to dig into the dashboards and find insights of their own. Spend time up-front identifying the KPIs and relationships that really matter and then choose the graphs, charts, and maps that most directly present your story. Tell a clear, compelling story with your data by keeping your visualizations clean and simple. For example, are you trying to identify new geographical markets to enter or determine which stage of your marketing funnel needs the most attention. Make sure to clearly define the business objective you’re trying to analyze, measure and optimize. This means bringing together data from a variety of sources and performing data replication, ingestion and transformation to combine different types of data into standardized formats stored in a data lake or data warehouse. Long before you can create any dashboard, you’ll need to collect raw data and then turn it into clean, analytics-ready information. Here we discuss five key best practices toward creating a world-class business intelligence dashboard.