Nandini Nehru

Nandini Nehru is a Sr. Solutions Architect at Perficient in the Oracle EPM group. She has worked for ten plus years on various projects performing analysis, design, development, configuration and testing of applications. She has implemented Oracle Hyperion planning, HFM and Essbase applications for various industries like Healthcare, Public sector, Manufacturing and Oil and gas. She is a certified Oracle Trainer for Oracle Hyperion Financial reports, Planning Create and manage and Administrator class. She is also Oracle Hyperion Planning 11 Certified Implementation Specialist and Oracle Enterprise Planning and Budgeting Cloud Service 2017 Certified Implementation Specialist. Nandini works closely with the financial planning team at her clients across different industry verticals and implements IT solutions to meet their financial planning and budgeting needs. Nandini holds an honors degree in Bachelor of Engineering in Information technology and an MBA in Finance from Rice University. She was also a recipient of the renowned Jones Scholarship at Rice University, Houston.

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Blogs from this Author

Focus And Dedication Got Her Far

HFM to FCC – Financial Reporting in FCC, Part 3

Finance leaders from Cardtronics and Allegis Group with more than three years of combined experience using Oracle Financial Consolidation and Close joined Perficient and Oracle for a panel discussion regarding their cloud journey.  Richard Ng, Director, Financial Systems, Cardtronics, and John Oliphant, Financial Developer Lead Allegis Group, shared the stories of their organizations’ migration from […]

Common Challenges in FP&A in Healthcare Organizations

The global pandemic has changed the face of the world. One of the biggest industries that has been at the forefront of this pandemic is healthcare. And the focus is not just on patient care, providers, and the other support staff, but also the underlying business divisions that manage the day-to-day operations, especially finance. As […]

Indirect Cash flow statement in FCCS

There are essentially two types of cash flow statements – Direct and Indirect. In the indirect method, Cash flow is derived from Net Income plus changes in balance sheet accounts that are categorized as Operating Cash flow account, Investing account and Financing accounts. In the direct method only true cash activities are accounted for whereas […]

Planning and Budgeting vs Strategic Modeling in EPBCS at #C19TX

As organizations build long-range plans and short-term budget/forecasts, they derive either a strategic decision or tactical decisions. The implementation need for strategic modeling vs Hyperion planning on the cloud is based on such decisions. Join me for my informational session at Collaborate 19 where we will highlight use cases for Strategic Modeling and how it […]

Intro to Implementing Driver-Based Rolling Forecasts at Oracle OpenWorld

Interested to get a closer look how the University of Texas MD Anderson Cancer Center transformed a traditional annual operating budget process to a more forward-looking driver-based rolling forecast process? Meet us at Oracle OpenWorld on Oct 22nd – 25th, for our session “Implementing Driver-Based Rolling Forecasts at MD Anderson“. The client faced a unique challenge […]

Cancer Center’s Forecast Model Uses Hyperion Planning with ASO [Webinar]

Recently the University of Texas MD Anderson Cancer Center (MDACC) transformed a traditional annual operating budget process into a more forward-looking, driver-based rolling forecast process. This innovative transition was accomplished through the implementation of a unique forecast model that uses Hyperion Planning with ASO integration. To learn more about this new and innovative model, tune […]

What’s New and Coming Up for Oracle Planning on the Cloud

I recently attended the ODTUG Kscope18 conference in Orlando earlier this month. It was a great conference with a very strong focus on technical sessions and hands-on learning labs. In this blog post, I want to focus on some of the key features that are available now and/or in the pipeline from Oracle’s perspective for […]

Oracle Planning: Driver-based Rolling Forecast at #Kscope18

Rolling forecasts in healthcare are challenging because Key Performance Indicators (KPIs) are unique to each organization and market conditions are ever changing. MD Anderson Cancer Center (MDACC) needed a standard forecasting process, while still offering choice-based budgeting and forecasting for the various divisions and institutes.Perficient implemented a driver based rolling forecast planning application that is […]

ARCS: Account Reconciliation Cloud Service – An Intro (part 1)

ARCS (Account Reconciliation Cloud Service) is the cloud counterpart for Oracle’s Account Reconciliation Manager (ARM). A complete and detailed account reconciliation is part of a month end financial close process in an organization. Typically, the finance department needs to identify any/all fraudulent, improper and excessively aged transactions as part of the process. Oracle’s Account Reconciliation […]

Essbase Substitution Variables

Essbase substitution variables are placeholders that hold a value and can be passed in a calc script, load rule, reports etc. Substitution variables can be created at the Essbase server level, the application or at the database level. Forward slash / is the escape character that can be used if single quote is in the substitution […]

Changing Dense vs Sparse Settings for an Essbase/Planning App

As soon as a planning application is created or a BSO Essbase cube, dimensions are tagged as either dense or sparse. The dimension of the type Account and period are tagged as dense by default and all others are sparse. A sparse dimension is one with a low percentage of available data positions filled. A […]

Using ODI to Load an Essbase Exported File to an Oracle Table

Here, we’ll cover the ability to use ODI for one its basic features: extracting data from Essbase and using the exported file to load to a table. It turns out that ODI was not recognizing the file generated by Essbase. Let’s see what we were missing: We have a calc script exporting level 0 data from […]

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