Table of contents
1.
Introduction
2.
Putting Right Organizational Structure🎯
2.1.
Preparing for Stewardship and Management of Risk👨‍💻
2.2.
Setting The Right Governance and Quality Policies
3.
Frequently Asked Questions
3.1.
What is an Organisational structure?
3.2.
What are the three types of organizational structure?
3.3.
Which organizational structure is best for large companies?
3.4.
What is data governance?
3.5.
What is the risk of not having data governance?
4.
Conclusion
Last Updated: Mar 27, 2024

Right Organizational Structure in Place

Author Rajat Agrawal
0 upvote
Career growth poll
Do you think IIT Guwahati certified course can help you in your career?

Introduction

Typically, businesses begin their road to big data by experimenting to determine whether big data can help define and influence company strategy. However, once it is evident that big data will play a strategic role in the information management environment, the organization must ensure that the proper structure is in place to support and safeguard it.

Big Data

Let’s learn about how to put the right organizational structure.

Putting Right Organizational Structure🎯

Before establishing policies, you first have to know what you are dealing with. For example, are you intending to use transactional systems, social media data, or machine-generated data? As part of your data analytics strategy, do you plan to incorporate data from these many sources? If you plan to do more than a single experiment, you'll need to change your governance strategy to ensure that you're ready to handle a new type of data securely.

Preparing for Stewardship and Management of Risk👨‍💻

Whatever information management system you choose, you must ensure that the appropriate level of control is in place. This is simply a great practice in general, and it is unaffected by the addition of big data. However, including massive data sources may necessitate a different approach to data stewardship. Because social media data has a different origin and structure than traditional relational data, you might need to have a different person monitor it. This new data steward role must be carefully defined so that the person chosen may collaborate across business divisions that find this type of data the most useful in their analysis. 

For example, the data steward must know or have access to the right personnel who see the company's data retention policy and the requirements for hiding out personal data regardless of where it comes from.

Setting The Right Governance and Quality Policies

How a company handles big data is a continuous process, not a one-time effort. If consistent standards and procedures are not followed consistently, the risk to the firm might be significant. Data quality should be treated from a governance perspective as well. 

When it comes to policy, consider the following important components that must be written to protect your organization:-

👉 Determine the best practices that your peers have used to establish consistent policies so that everyone is on the same page.

👉 Examine your policies in light of your company's and industry's governance standards. If you discover any flaws in your policies, make the necessary changes.

👉 Do you have a policy that dictates how long you must keep information? Do these policies apply to information you gather from third parties, such as consumer discussion forums and social media sites?

👉 What value do you place on the data sources you're bringing into the company? Do you have quality control procedures to ensure that data collection is only utilized for decision-making once it has been confirmed to be clean and adequately documented? It's tempting to get caught up in the excitement of using big data to do previously impossible analyses. Your business, however, will be jeopardized if the study leads to wrong conclusions. Extraneous data might influence sensor data, causing an organization to conclude incorrectly.

Frequently Asked Questions

What is an Organisational structure?

The structure addresses how jobs are allocated, how employee hierarchies are structured, and how personnel is organized or grouped into departments or particular positions. When a company starts, it is common to implement an organizational structure.

What are the three types of organizational structure?

There are three main types of organizational structure:

 Functional Structure, Divisional Structure, and a blend of the two, called Matrix Structure.

Which organizational structure is best for large companies?

Functional organizational structures are suitable for large firms with multiple departments and those that must fulfil stringent deadlines.

What is data governance?

Big Data Governance is the process and management of data availability, usability, integrity, and security of data used in an enterprise. It includes all the steps from storing the data to securing it from any mishap. It is not just only about technology.

What is the risk of not having data governance?

Without guidelines, you risk non-compliance with privacy standards, personnel who refuse to provide data for fear of misuse, and people who lack the necessary information to execute their jobs.

Conclusion

In this article, we have extensively discussed Putting Right Organizational Structure in Place in big data.

You can also consider our Online Coding Courses such as the DSA in PythonC++ DSA CourseDSA in Java Course to give your career an edge over others.

Do upvote our blog to help other ninjas grow.

Happy Coding!

Live masterclass