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Using stacked column and bar charts to display dynamic series data with a consistent color scheme
The following example describes how a stacked chart can be used to display a consistent color distinction between a client company and comparative companies within an industry. Anne’s Boutique is selected as the client company from the line item list selector Select My Company and presented in charts in royal blue color.…
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Automating Cloud to Predictive Insights Integration
Introduction The following document describes the steps needed to automate integration between cloud data sources and Predictive Insights using CloudWorks. In the document, we will use Amazon S3 integration as an example, but other cloud data sources are also supported. For simplicity, account data will be referred to, but…
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Predictive Insights (PI) - Model Tracking and Performance
Introduction Predictive Insights model performance tracking can be broken out into model tracking and model performance evaluation. The goal for both is to ensure that the model is performing as expected after being in use and is still relevant for the business use case it was built for. To so do involves looking at the…
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Predictive Insights (PI) - How to Refresh a Predictive Model
What is a Model Refresh? Predictive Insights (PI) leverages machine learning models to help users target their total addressable market more intelligently. The machine learning model uses historical account data alongside PI data to build knowledge on how to rank your accounts. Over time, the data set can change and the…
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Predictive Insights (PI) - Predictive Model Evaluation
Model evaluation is the operation through which users can estimate the expected performance of a Predictive Insights (PI) predictive model and assess its effectiveness. Since predictions and account prioritization can play an important role in your sales programs or other business initiatives, model evaluation is key and…
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Predictive Insights (PI) - Use Cases and Model Types
Predictive Insights (PI) supports multiple types of account scoring models. Each model type requires different input data depending on the use case. Configure PI by filtering and adjusting the accounts in the Customer and Prospect datasets. Use this page to understand the most common use cases supported by PI and what…
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Simplifying User Access Management in Anaplan with the SCIM API
Introduction: In today's fast-paced business environment, effective identity management and governance play a crucial role in maintaining data security and ensuring smooth operations. Anaplan, a leading cloud-based planning platform, offers a powerful SCIM (System for Cross-domain Identity Management) API that integrates…
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Anaplan Connect Quick Start Guide - Linux & macOS Installation
This Anaplan Connect Quick Start guide is specifically for the macOS and Linux platforms. Its purpose is to help you swiftly set up and get started with Anaplan Connect on these operating systems. Please follow the steps below to guide you through the installation process. If you are utilizing macOS, kindly refer to the…
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Anaplan Connect Quick Start Guide - Windows Installation
This Anaplan Connect Quick Start guide is specifically for the Microsoft Windows platform. Its purpose is to help you swiftly set up and get started with Anaplan Connect. Please follow the steps below to guide you through the installation process. If you are utilizing macOS, kindly refer to the Anaplan Connect Quickstart…
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[Part 3] Anaplan Audit History Data in an Anaplan Reporting Model
With Anaplan Audit, Enterprise and Professional level Customers can track audit events that occur in their Anaplan tenant. For the Anaplan Audit History project, we created a simple Anaplan reporting model and app to report on Anaplan Audit events in the Anaplan UX. Customers may download and use the Anaplan Audit Model &…
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[Part 2] Enhancing Anaplan Audit Log Data Extraction with a Streamlined Python Solution
The Anaplan Audit History project, consisting of several Python modules and a configuration file, works synergistically to streamline the process of fetching, formatting, and loading Anaplan audit log data into a preconfigured Anaplan Model. The project leverages the Anaplan REST API, the Python Pandas library for…
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[Part 1] Enhanced Reporting of the Anaplan Audit Log Summary
As organizations continue to embrace Anaplan's powerful platform for connected planning and decision-making, maintaining robust security and compliance measures has become increasingly essential. The Anaplan Audit Log serves as a critical tool in achieving these objectives, providing granular insights into user activities…
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[UPDATED] OEG Best Practice: Integration Scheduling in Anaplan CloudWorks
Introduction Anaplan CloudWorks enables seamless data integration between Anaplan and other cloud-based applications. To optimize performance and efficiency, it's crucial to follow best practices when scheduling integration tasks. This article outlines recommended guidelines for creating integration schedules in Anaplan…
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Survey invitation: BPM Pulse 2023
As model contributors and Community members, your responses to the BPM Pulse survey will play a crucial role in shaping BPM Partners' annual Vendor Landscape Matrix for business performance management. Please note: this survey is exclusively open to customers, and the deadline for completion is Friday, May 5, 2023.…
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[First Look] Create page
Feature: Create Page Release Date: 02/28/23 Impact Assessment: Tighter link with UX What is changing? A new button is available in the Pages interface called “Create page” that gives you the ability to create a page in an existing app. Once the button is clicked, a new tab will open that will allow you to setup and design…
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PlanIQ – Considerations Before Starting to Forecast
Before starting to forecast with PlanIQ, there are a few topics we recommend considering around the data, properties of the forecast, and forecast evaluation. While it is important to define clear goals for each forecasting scenario, PlanIQ's forecast accuracy will mostly be determined by the quality of the available data.…
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OEG Best Practice: Anaplan Python OAuth Example
The Anaplan Python OAuth Example demonstrates using the Anaplan REST API with OAuth with device-based authorization. The code highlights how to generate a device_id, access_token, and refresh_token. Additionally, the code highlights a multi-threaded approach to request a new access_token while performing other,…
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Building Anaplan CoE
After spending 6-7 years with Anaplan in different roles I would like to share some of my practical knowledge on setting up a CoE. In a series of videos I will try to help you ask the right questions that hopefully will help you with your CoE. The first one is on Anaplan being Business vs IT Asset. I am planning to talk…
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Alternative Uses for the Management Report UX Page
Introduction With the addition of the Report UX page type, it is now possible to create highly formatted, customized slides to deliver key insights and clear reporting to your organization. As with many Anaplan features, our customers always come up with innovative ways to use this feature and this post will look at two of…
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Multi-select filters and their extension
If you are asked to name a few features which you use very often in Anaplan, there is a high chance that FILTERS will find its way to that list. There are so many places where they are used: saved views for imports/exports, report creation, calculations, and the list goes on. They are basically ubiquitous! Premise: Ability…