Top 8 Considerations of Data Modeling
Send me Nitor Infotech's Monthly Blog Newsletter!
×
Software Product Engineering Services Company
  • Company
    • About
    • Leadership
    • Partnership
  • Resource Hub
  • Blog
  • Contact
Software Product Engineering Services Company
Add more content here...
Artificial intelligence Big Data Blockchain and IoT
Business Intelligence Cloud and DevOps Digital Transformation
Healthcare IT Manufacturing Mobility
Product Modernization Software Engineering Thought Leadership
Aastha Sinha Abhijeet Shah Abhishek Suranglikar
Abhishek Tanwade Ajinkya Pathak Amol Jadhav
Ankita Kulkarni Antara Datta Anup Manekar
Chandra Gosetty Chandrakiran Parkar Dr. Girish Shinde
Gaurav Rathod Harshali Chandgadkar Madhavi Pawar
Milan Pansuriya Mohit Agarwal Mohit Borse
Nalini Vijayraghavan Neha Garg Omkar Ingawale
Omkar Kulkarni Pranit Gangurde Prashant Kamble
Priya Patole Ravi Agrawal Robin Pandita
Rohini Wwagh Sachin Saini Sadhana Sharma
Sambid Pradhan Sanjeev Fadnavis Shardul Gurjar
Shravani Dhavale Shubham Hedau Shubham Kamble
Shubham Muneshwar Sidhant Naveria Sujay Hamane
Tejbahadur Singh Tushar Sangore Vasishtha Ingale
Veena Metri Vidisha Chirmulay
Big Data | 14 Jan 2015 |   3 min

Top 8 Considerations of Data Modeling

Recently, we published a whitepaper on the Data Modelling approach and processes involved. There, we had discussed the top eight considerations of standard and logical data models. The following is a summary of the important data modelling guidelines.

Data Modelled Well:

  1. Aligns with business very well
  2. Connects with data and scales for the future
  3. Enables good governance and integrity of data across the organization

The following are the top eight considerations:

  • Model Correctness:
    • Ensure that the model accurately captures the material. the material?
    • Make sure that the design represents the data requirements.
    • Ensure the correctness of data elements with different formats than industry standards.
    • Fix incorrect cardinality and keys defined incorrectly
  • Model Completeness:
    • Does the scope of the model exactly match the requirement?
    • Can a model be complete yet incorrect? Incomplete yet correct?
    • If relationships are not shown, then they should clarify any ambiguously defined terms.
  • Model Structure:
    • Standard modeling practices, independent of content
    • Entity Structure Review
    • Data Element Review
    • Relationship Review
  • Model Flexibility
    • Ensures that the correct level of abstraction is applied to capture new requirements.
    • Achieves the right level of flexibility.
    • Proves there is value in every abstraction situation.
  • Modeling Standards & Guidelines
    • Ensures correct and consistent enterprise, conceptual, logical, and physical level as per standards & guidelines.
    • Uses the correct names and abbreviations
  • Model Representation
    • Optimal parent and child entities placement
    • Intelligent use of color in grouping or highlighting entities
    • Proper relationship lines crossing each other or through unrelated entities
    • Optimal use of subject area
    • Maximizes readability and understanding
  • Physical Design Accuracy:
    • Ensures that the design is for the real world & also specific to application
    • Considers null values
    • Uses partitioning
    • Utilizes proper indexing and space
    • Considers denormalization
  • Data Quality:
    • Ensures that the design and actual data are in sync with each other.
    • Determines how well the data elements and their rules match reality.
    • Avoids costly surprises later in development.

Related Topics

Artificial intelligence   Big Data   Blockchain and IoT   Business Intelligence   Cloud and DevOps   Digital Transformation   Healthcare IT   Manufacturing   Mobility   Product Modernization   Software Engineering   Thought Leadership  
<< Previous Blog Next Blog >>

Nitor Infotech Blog

Nitor Infotech is a leading software product development firm serving ISVs and enterprise customers globally.

   

You may also like

Data Extraction from SAP

In our technology-focused world, SAP ERP systems are very popular. Irrespective of the size or industry, businesses can reap the benefits of SAP. As you may be ...
Read Blog


What is Business Process Automation?

You sit down at your desk, caught completing important, tedious tasks that require nearly no mind function on your part. Your squad appears unmotivated, and your organization boom goes slower than ...
Read Blog


Flutter State Management: Everything You Need to Know

Nowadays Flutter is one of the hottest topics for mobile developers. When it comes to Flutter, there is a wide range of topics to discuss. But the most important and necessary topic is ‘Flutter ...
Read Blog


Subscribe to Our Blog

Services

    Modern Software Engineering


  • Idea to MVP
  • Quality Engineering
  • Product Engineering
  • Product Modernization
  • Reliability Engineering
  • Product Maintenance

    Enterprise Solution Engineering


  • Idea to MVP
  • Strategy & Consulting
  • Enterprise Architecture & Digital Platforms
  • Solution Engineering
  • Enterprise Cognition Engineering

    Digital Experience Engineering


  • UX Engineering
  • Content Engineering
  • Peer Product Management
  • RaaS
  • Mobility Engineering

    Technology Engineering


  • Cloud Engineering
  • Cognitive Engineering
  • Blockchain Engineering
  • Data Engineering
  • IoT Engineering

    Industries


  • Healthcare
  • Retail
  • Manufacturing
  • BFSI

    Company


  • About
  • Leadership
  • Partnership
  • Contact Us

    Resource Hub


  • White papers
  • Brochures
  • Case studies
  • Datasheet

    Explore More


  • Blog
  • Career
  • Events
  • Press Releases
  • QnA

About


With more than 15 years of experience in handling multiple technology projects across industries, Nitor Infotech has gained strong expertise in areas of technology consulting, solutioning, and product engineering. With a team of 700+ technology experts, we help leading ISVs and Enterprises with modern-day products and top-notch services through our tech-driven approach. Digitization being our key strategy, we digitally assess their operational capabilities in order to achieve our customer's end- goals.

Get in Touch


  • +1 (224) 265-7110
  • marketing@nitorinfotech.com

We are Social 24/7


© 2022 Nitor Infotech All rights reserved

  • Terms of Usage
  • Privacy Policy
  • Cookie Policy
x
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it. Accept Cookie policy