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A New Frontier in Business Intelligence: BI Applications for Outside Audiences

Over the past few decades, business intelligence (BI) has evolved from finance-oriented BI dashboards to applications used by companies and teams in countless industries — all for internal purposes. As the amount of data generated continues to grow, and as technology evolves, opportunities now exist to make the data accessible and useful for external audiences like customers, partners, and suppliers. Many people refer to this as the “democratization of data,” and it’s happening now as products like the Fitbit enter the market and allow individuals to track health-related data; as Netflix and Amazon make personalized recommendations to customers based on browsing and purchase histories; as retailers like PetSmart and Staples collect consumer behavior and preferences that can be reported back to manufacturers and distributors as actionable data; and as Facebook and Twitter sell information to third-party companies and partners.

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OTHER WHITEPAPERS

Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

MySQL HeatWave ML

whitePaper | August 9, 2022

This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply.

ACCELERATE DEEP LEARNING WITH A MODERN DATA PLATFORM

whitePaper | February 17, 2022

Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.

How APAC enterprises can scale up their AI initiatives

whitePaper | May 25, 2022

In the past few years, artificial intelligence (AI) has proved to be much more than just a buzzword, successfully redefining the way that businesses work. From finance to healthcare, various industries have shown tangible outcomes from using AI as a part of their solutions, reiterating the immense possibilities this technology can provide for the world.

WHAT JOBS ARE AFFECTED BY AI?

whitePaper | December 15, 2019

The debate between experts over how automation will affect the future of work has been one of the most active cottage industries in labor economics in recent years. Numerous scholars forecast major disruptions of human work; others minimize those impacts. And yet, the field has nevertheless managed to generate a number of shared insights, with none more consistent than the finding that least welloff will suffer automation’s greatest shocks on the labor market.

Forrester Pulse: The State of Channel Partner Incentives 2020

whitePaper | July 21, 2020

Back in 2016, the most popular app download on Christmas Day was Fitbit, dominating Apple’s App Store. The rapid adoption of Fitbit and other wearable fitness trackers has underpinnings in psychological motivation theories. Realtime data monitoring provides a powerful incentive that is capable of changing human behavior. Since 2016, the wearable technology market has continued to evolve, including the acquisition of Fitbit by Google, which was announced in November 2019.

A New Frontier in Business Intelligence: BI Applications for Outside Audiences