Welcome to the Orthogramic Getting Started Guide. This guide provides a structured approach to effectively using Orthogramic for managing organizational data. By following these steps, users can ensure comprehensive data management and alignment with business architecture, facilitating informed decision-making and strategic alignment.
Upload Document: Steps to define document type, store data, specify organizational location, define document priority, and extract business architecture data.
Assess Content Coverage: Instructions to evaluate data relevance, quality, and quantity.
Merge Data: Guidelines to define document priority, extract business architecture data, and integrate it with existing information.
Compare Data: Steps to compare data across organizational layers to identify discrepancies or alignment.
Map Coverage: Techniques to visualize data coverage across different organizational layers.
By following the steps outlined in this guide, users can effectively manage organizational data within Orthogramic. This systematic approach ensures that all data is properly classified, assessed, merged, compared, and mapped, supporting strategic alignment and effective decision-making.
This steps display how to get started with Orthogramic. They provide a structured approach to uploading, assessing, merging, and comparing organizational data. The process is divided into several stages: Upload Document, Assess Content Coverage, Merge Data, Compare Data, and Map Coverage. Each stage includes specific activities to ensure comprehensive data management and alignment with business architecture.
Define Document Type: Identify the type of document being uploaded.
Store Data: Save the document data within the system.
Define Organisation Location: Specify the organizational location relevant to the document.
Define Document's Priority: Determine the priority of the document based on its importance.
Extract Business Architecture Data: Extract relevant business architecture data from the document.
Assess Data Relevance to Org Level Above: Evaluate how relevant the data is to the organizational level above its current placement.
Assess Data Quality: Review the quality of the data to ensure it meets required standards.
Assess Data Quantity: Determine the quantity of data available and its sufficiency for the intended purpose.
Define Document Priority: Confirm the priority of the document within the context of merging.
Extract Business Architecture Data: Extract necessary business architecture data from the document.
Merge into Existing Business Architecture Data: Integrate the extracted data with existing business architecture information.
Compare Data to Other Org Layer: Evaluate the data by comparing it to other organizational layers to identify discrepancies or alignment.
Display Data Coverage Across Org Layers: Visualize the data coverage across different organizational layers to ensure comprehensive and accurate representation.
This systematic approach ensures that all organizational data is properly classified, assessed, merged, compared, and mapped, facilitating effective decision-making and strategic alignment.