nepalcargoservices.com

Creating an Efficient Data Collection System with Office 365

Written on

Chapter 1: Introduction to Data Collection Systems

In today's world, why invest heavily in hiring programmers to create a basic data collection system? Unless you're developing something large-scale that demands high performance, there are simpler alternatives available. Fortunately, building your own data collection system has become increasingly accessible. This guide outlines a complete data collection framework utilizing agile methodologies and Office 365.

Section 1.1: Understanding Business Requirements

Before embarking on the construction of your data collection system, it’s crucial to clarify your business needs rather than jumping in with a random idea. For instance, imagine you're in an office environment and wish to establish a system for regularly distributing surveys among staff.

The first step is identifying the questions you need to ask. This can involve consulting with your supervisor, colleagues, or brainstorming on your own. The second step is to consider the logical flow of the data. In this case, we might want to implement a staff wellness survey that can be completed anonymously. Responses should be directed to a database for subsequent analysis and visualization.

Lastly, determine how different users will interact with your data collection system. For instance, how will your colleagues access the form, and how will management review the results? A helpful technique is to sketch a wireframe on paper to visualize how the form should appear. You can document your requirements on paper and later transfer them into a SharePoint site or a OneNote notebook for relevant stakeholders to access.

Visual representation of gathering business requirements

Section 1.2: Setting Up a Kanban Board

Kanban boards serve as excellent tools for visualizing project processes while simultaneously functioning as a task list. This is where you can transform your business requirements into actionable tasks.

If you have access to a Kanban board like Microsoft Planner, create the following columns:

  • A "To Do" column for all tasks related to form development.
  • An "In Progress" column to track tasks you are currently working on.
  • A "Done" column for completed tasks.

If Microsoft Planner isn’t available, you could utilize Trello or even a physical board with cards to implement Kanban.

Example of a Kanban board in Trello

Chapter 2: Form Creation and Database Setup

Section 2.1: Building the Form

Since we are using Office 365, Microsoft Forms is a suitable choice for creating your survey. Simply input your questions based on the requirements you've outlined. For simplicity, you can limit yourself to binary questions and an open-ended text field.

Microsoft Forms also supports conditional questions, allowing for follow-up questions based on responses. For example, if someone answers "yes," a related question may appear; otherwise, the form moves on to the next standard question.

Editing mode of Microsoft Forms

Section 2.2: Establishing the Database

While Microsoft Excel is primarily a spreadsheet tool and not a database, it can still serve adequately for smaller data sets. If you're planning to gather extensive data, consider using SharePoint or Access. For our purposes, we will keep things straightforward and use Excel.

To ensure Excel captures data from Microsoft Forms, create a table within your spreadsheet. If you anticipate generating multiple surveys and wish to analyze them collectively in a Power BI report, organizing all your Excel files into a single folder can create your data lake.

Creating a table in Excel

This video explains how to use Microsoft Forms for data collection and storage in SharePoint, illustrating the process in a step-by-step manner.

Section 2.3: Automating Data Transfer

The next step is connecting the Form responses to your Excel spreadsheet. While you can manually export data from the form, this approach can be cumbersome. Instead, utilize Power Automate for seamless automation.

Power Automate may seem complex at first, but understanding how to connect Forms to Excel is vital. Below, you'll find a visual workflow to facilitate this integration.

Workflow for connecting Forms to Excel via Power Automate

This video demonstrates how to collect data into Excel Online using Office 365 Forms, Surveys, and Questionnaires.

Section 2.4: Conducting Quality Assurance

Prior to sharing your project, it's essential to ensure that everything functions correctly. On an Excel spreadsheet, devise tests to confirm successful outcomes while also identifying potential issues.

For example, a successful outcome would involve users submitting responses only after all required fields are completed. Conversely, an undesirable outcome would be a user's response failing to record in the spreadsheet post-submission. Any failed tests should be documented on your Kanban board for resolution.

Image

Chapter 3: Building Your Dashboard and Final Steps

Section 3.1: Creating an Analytics Dashboard

With results from your form, you can now link Power BI to your Excel spreadsheet. Your dashboard can be tailored to meet your specific business needs. Power BI simplifies this process: just navigate to your spreadsheet, adjust data types in Power Query, and load your data model.

Within Power BI, you may need to create measures, columns, or manipulate existing objects to facilitate visualizations from the data.

Example of a Power BI dashboard

Section 3.2: Quality Assurance for Your Dashboard

Just like your form, it's essential to perform quality assurance on your dashboard. You may find discrepancies in incoming data, necessitating adjustments in the Power BI Query Editor or even modifications to the form itself. For instance, if you prefer checkboxes over dropdowns for a question, this adjustment can enhance data accuracy.

Ensure that any necessary changes are noted on your Kanban board.

Section 3.3: Preparing for Distribution

You cannot simply forward a survey without providing context. It’s important to draft a well-thought-out email explaining the purpose of the survey and its benefits to recipients. This task can be delegated if you prefer.

Section 3.4: Finalizing and Distributing the Survey

Once everything is set, make a copy of your test data spreadsheet, then clear the survey form of test responses. With a clean slate, you can now distribute the form along with an explanation of its purpose to all intended participants.

Image

Conclusions

You've now completed a ten-step guide to establishing a data collection system from conception to implementation. While these steps may seem laborious initially, familiarity will come with practice. For a robust outcome, adhere to these steps; however, if urgency arises, feel free to simplify the process or streamline certain steps as necessary.

Share the page:

Twitter Facebook Reddit LinkIn

-----------------------

Recent Post:

Exploring Custodial and Non-Custodial NFT Marketplaces

Delve into the differences between custodial and non-custodial NFT markets and discover their benefits and notable platforms.

Navigating the Challenges of Writing on Medium

Exploring the struggles of new writers on Medium and the challenges of gaining recognition.

China's Nuclear Expansion: A Dual Role in Global Decarbonization

Examining China's nuclear growth and its implications for global climate goals.

Here’s Why Successful People Choose to Wear the Same Outfit Daily

Explore the reasons successful individuals wear similar clothes daily to combat decision fatigue and enhance productivity.

Transform Your Daily Habits for Better Brain Health Today

Discover how to improve your brain health by breaking four damaging daily habits.

Navigating the Divide: UFOs, Skepticism, and Open Minds

Exploring the tension between UFO believers and skeptics, emphasizing the importance of open dialogue in the search for truth.

Unlocking Your Back Potential: 5 Must-Try Exercises for Growth

Discover five essential back exercises that can enhance muscle growth, posture, and overall athletic performance.

# Understanding the Challenges of AI Bias in Data Sets

Explore the complexities of AI bias and the need for a robust peer-review system in machine learning.