For financial institutions, assessing credit risk data is critical to determining whether to extend that credit. In this blog, we'll demonstrate how incorporating data from disparate data sources (in this case, from four data sets) allows you to better understand the primary risk factors and optimize financial models.
But not all companies have adopted a data warehouse in the cloud yet. So we've written this article to help answer some questions. Do you even want a data warehouse in the cloud? What can you expect from it and what are the benefits? Let’s explore these key topics one by one.
Analysts are always looking to transform their data into actionable insights. Let us explore the analytical capabilities of the autonomous data warehouse to discover innovative answers to their questions.
Explore how to set up OCI Object Store and load data into OCI Object Store. Step-by-step instructions on how to set up OCI Object Store, load data, creating auth token and database credential for users.
So what's an Oracle Autonomous Data Warehouse? With an Autonomous Data Warehouse, you no longer need specialized database administration skills. You could be a marketing manager, financial analyst or HRIS administrator, and start an analytics project in minutes without involving IT. Lines of business can easily explore data for deeper business insights and transform analytics into visual stories to guide executive decision making.
Oracle is off to a strong start in 2018. Industry analyst Gartner has recognized Oracle as a leader among 22 technology providers evaluated for their offerings in data management and analytic solutions. Gartner evaluates solution providers based on a variety of evaluation criteria including ability to execute and completeness of vision. Based on these parameters, Gartner has published its latest February 2018 Magic Quadrant for Data Management Solutions for Analytics, and it...