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Blog

Welcome to Datavail’s Blog, where you can read the latest insights, tips and opinions of our experts on all things data and technology.

Category: Oracle
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The Value of a Data Governance Strategy

This blog post will explore the reasons why you can’t afford to ignore the importance of data governance to the success of your business as a whole.

Christian Screen | October 31, 2018

Simultaneous Bulk Upgrades

Learn how Oracle 11g bulk upgrades helped a digital marketing company reduce downtime by 75%.

Rakesh Nagdev | October 25, 2018

Quick & Easy Setup of Transparent Data Encryption

Your 10-step guide to configuring Transparent Data Encryption (TDE) at the tablespace level with an Oracle database

Chad Cleveland | September 27, 2018

How Oracle NET Encryption Benefits Financial Institutions

Prevent financial data breaches by adding Oracle NET Encryption to your database security stack.

Chad Cleveland | September 21, 2018

Key #4 to Efficient FP&A: Reducing Financial Close Cycles

Many organizations are still struggling to meet the demands of the fast-paced close cycle. Learn how you can do that by addressing the root cause.

Bobby Ellis | July 26, 2018

Key #3 to Efficient FP&A: Moving to the Cloud

One of the keys to modern financial process efficiency is investing in innovative technologies such as cloud-based software. Find out how Oracle EPM Cloud can help.

Bobby Ellis | July 17, 2018

How Other Companies Successfully Manage Hyperion

How five of Datavail’s clients have successfully managed their Hyperion deployment using Accelatis, and how you can do the same for your organization.

Ed DeLise | July 12, 2018

Upgrading to Java 7 for EPM 11.1.2.4 – It Doesn’t Need to be Difficult

Because Oracle will not release any more patches for Java 6 after Extended Support expires, customers who want to achieve Java security compliance in 2019 and beyond must upgrade to Java 7 and upgrade your Hyperion deployment to EPM 11.1.2.4.

Dave Shay | July 9, 2018

Finance Automation with Artificial Intelligence

Artificial Intelligence (AI), and machine learning in particular, takes the pressure off of employees to manage massive amounts of company data.

Susan Rebner | July 5, 2018
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