Giter Club home page Giter Club logo

block-cortex-sap's Introduction

Google Cloud Cortex Framework for SAP

What does this Looker Block do for me?

Data Foundation - Order to Cash

  • Orders Fulfillment Dashboard - Monitor current delivery status, highlight late deliveries and compare pending deliveries with current stock.
  • Order Snapshot Dashboard - To monitor the health of the orders and also how efficient our Orders vs Deliveries.
  • Order Details - Find all the information about your order in one place and their status.
  • Sales Performance - Review the sales performance of Products, Division, Sales organization and Distribution channel.
  • Billing and Pricing - All the information related to the customer and products focused on price variations.

Data Foundation - Finance

  • Accounts Receivable Dashboard - Find all the information regarding the companies' finance such as Accounts Receivable, Overdue Receivables, Day Sales Outstanding.
  • Accounts Payable Dashboard - Find all the information regarding the companies' finance such as Accounts Payables, Accounts Payalable Turnover, Overdue Payables, Accounts Payable Aging and Cash Discount Utilization.
  • Vendor Performance Dashboard - Find all the information regarding the Vendor Performance in terms of delivery and other important indicators like Vendor Lead time , Purchase price variance , Purchase Order status.
  • Spend Analysis Dashboard - Find all the information regarding the major indicators like Total Spend, Spend Analysis, Total number of Suppliers to check spend across different Purchase orgs, Purchase groups, Vendor Countries, Material Types.

Data Foundation - Inventory

  • Inventory Management Dashboard - This block gives the high level information to Inventory Manager about various stock categories and other important Key Performance Indicators including Inventory Turn, Days of Supply, Obsolete Inventory and Slow Moving Inventory.

Setting up the dashboards for the first time

There are 2 ways to setting up these dashboards:

  • Use "Install from Git URL" functionality from Looker Marketplace. See instructions.
  • (Advanced) Use a Git connection. See Instructions.

Required Data

The datasets required by this block can be obtained by following the installation and configuration instructions for the Google Cloud Cortex Framework application. The related Google Cloud Cortex Framework for SAP LookML Block also leverages these same datasets.

Required Customizations

Constant Values

❕ Required Constant Values are configured during the Installation process.

❕ This step is completed automatically if you use "Install from Git URL" functionality from Looker Marketplace.

  • Connection: In the manifest.lkml file, update the value of the CONNECTION_NAME constant and Client ID.
  • GCP Project: The GCP project name where the SAP reporting dataset resides in BigQuery (not project id).
  • Reporting Dataset: The deployed Cortex Data Foundation _REPORTING dataset where the SAP views reside within the GCP BigQuery project.
  • ClientId/Constant: The SAP Client number (mandt) the dashboards will utilize to display data.

User Attributes

❕ The dashboards will not load properly if any of the following required user attributes is not set.

  • Default Currency: In the Looker User Profile, create and set the value of name = default_value_currency_required, label = "Default Value Currency Required" to the desired default currency.
  • Client Id Rep: In the Looker User Profile, create and set the value of name = client_id_rep, label = "Default Value for Client Id Rep Required" to the desired default client_id_rep.

Other considerations

  • Persistent Derived Tables: Enable Persistent Derived Tables using check box under CONNECTION settings accessible through Admin > Databases > Connections.
  • Locale: Each user's Locale setting in their Looker User Profile will be used to map to SAP language code and filter material text language for Sales Order, Vendor Performance and Inventory Metrics Overview views. See the language_map view for details on the mapping.
  • BI Engine Optimization: Some calculations perform better with BI Engine Optimization feature in Looker.
  • (Optional) Unhide additional dimensions and measure: Most dimensions and measures have been hidden to simplify reporting and data understanding. However should you find anything valuable missing, simply update the hidden parameters to No in the relevant views.

Additional Resources

To learn more about LookML and how to develop visit:

block-cortex-sap's People

Contributors

ankurkuchhal avatar annaserova avatar davidbrinegar avatar dotinfinity avatar jaisonblessing avatar jblawn avatar jeremytchang avatar khajababu avatar kuchhala avatar lookering avatar lsubatin avatar rp-infy avatar subrahmanyamjs avatar vinjamk avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.