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URL: https://www.cdata.com/kb/tech/sage200-cloud-geckoboard.rst

⇱ Create Dashboards and Visualize Live Sage 200 Data in Geckoboard


Create Dashboards and Visualize Live Sage 200 Data in Geckoboard

πŸ‘ Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI to connect to live Sage 200 data and create dashboards for real-time monitoring and visualization in Geckoboard.

Geckoboard is a business intelligence tool that simplifies the visualization of key performance indicators (KPIs) by creating live dashboards. It allows teams to consolidate data from various sources - such as Salesforce, Snowflake, Google Analytics, and spreadsheets - and display it in a visually engaging and easy-to-understand format. Designed for simplicity and clarity, Geckoboard helps businesses monitor performance, track goals, and make data-driven decisions.

When used with CData Connect AI, you gain instant, cloud-to-cloud access to Sage 200 data from Geckoboard for dashboards, monitoring, visualizations, and more. This article explains how to connect to Sage 200 and create visualizations using Sage 200 data in Geckoboard.

CData Connect AI offers a seamless SQL Server, cloud-to-cloud interface for Sage 200, enabling you to effortlessly create dashboards and visualizations using live Sage 200 data in Geckoboard. While building visualizations, Geckoboard requires SQL queries to retrieve the necessary data. With built-in optimized data processing, CData Connect AI pushes all supported SQL operations (such as filters and JOINs) directly to Sage 200, utilizing server-side processing for fast and efficient data retrieval of Sage 200 data.

Configure Sage 200 connectivity for Geckoboard

Connectivity to Sage 200 from Geckoboard is made possible through CData Connect AI. To work with Sage 200 data from Geckoboard, we start by creating and configuring a Sage 200 connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "Sage 200" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to Sage 200.
    • Schema: Determines which Sage 200 edition you are connecting to. Specify either StandardUK or ProfessionalUK.
    • Subscription Key: Provides access to the APIs that are used to establish a connection. You will first need to log into the Sage 200 API website and subscribe to the API edition that matches your account. You can do so here: https://developer.columbus.sage.com/docs/services/api/uk. Afterwards, the subscription key may be found in your profile after logging into Sage 200.
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Sage 200 Connection page and update the User-based permissions. πŸ‘ Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. πŸ‘ Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Sage 200 data from Geckoboard.

Connect live Sage 200 data in Geckoboard

Follow these steps to establish a connection from Geckoboard to the CData Connect AI Virtual SQL Server API.

  1. Log into Geckoboard
  2. Add a custom dashboard name and click Add widget πŸ‘ Click on Add widget.
  3. Search for "Databases" in the Connect your data search bar πŸ‘ Search and click on Databases.
  4. Select SQL Server as the Database type πŸ‘ Select SQL Server.
  5. Fill in the connection details:
    • Connection name: enter a name for the connection to CData Connect AI
    • Host: enter the Virtual SQL Server endpoint: tds.cdata.com
    • Port: : enter 14333
    • Database name: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, Sage2001)
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected]
    • Password: enter the PAT you generated on the Settings page
    πŸ‘ Configuring the connection to the Virtual SQL Server API
  6. Click Connect

After successfully configuring your connection, you can query and visualize your Sage 200 data.

Visualize live Sage 200 data in Geckoboard

To visualize live Sage 200 data in Geckoboard, follow these steps:

  1. Write an SQL query to select the specific Sage 200 data needed for visualization in Paste your SQL query compiler screen πŸ‘ Write an SQL query to select specific Sage 200 data.
  2. Depending on your use case, you can also generate the desired SQL query using the Data Copilot or Query Builder features of CData Connect AI

    πŸ‘ Generate an SQL query using AI Generator in Connect AI.
  3. Choose the visualization type (Line Chart, Bar Chart, or Column Chart) that best suits your business requirements πŸ‘ Choose the visualization type.
  4. The selected chart will be displayed on Geckoboard πŸ‘ Chart is displayed.
  5. Click the menu (three dots in the top-right corner of the graph) and select Edit to modify the SQL query or set a refresh interval for the chart πŸ‘ Edit the widget.
  6. Live access to Sage 200 data from cloud applications

    At this stage, you have established a direct, cloud-to-cloud connection to live Sage 200 data in Geckoboard. This enables you to create dashboards to monitor and visualize your data seamlessly.

    For more details on accessing live data from over 100 SaaS, Big Data, and NoSQL sources through cloud applications like Geckoboard, visit our Connect AI page.