Data Gathering Flashcards
Explains the different types of data sets and their formats.
● Can you outline the different types of data in your organisation and team, and how they are used?
* What format(s) does the data come in?
* What are the differences between these formats?
* Where does the data come from?
● The types of data we work with contain sales/revenue figures, customer transaction data, and survey responses.
- The data comes in formats like CSV, Excel (.xlsx) and plain text (.txt).
- The difference is that CSV files are raw data used for analysis, Excel files are for detailed reports and text files are for instructions.
- The data comes from our SQL databases, Sales Calls Tracking Software, open datasets and customer surveys.
By managing these data sets, we can track sales, forecast trends and improve our overall services.
Explains the different types of data sets and their formats.
● How is quantitative data used to support your team in their work?
● OR Does your organisation use qualitative work to support any tasks or projects?
● Is it important to use both types in the work that you do? Why?
Quantitative data is numbers and figures, like sales totals or transaction counts. It’s useful because it gives clear, measurable information that helps us track performance and make forecasts.
Qualitative data is words and sentences, like customer reviews or survey comments. It’s useful because it provides context and insights into customer opinions and experiences.
Using both types together is important because quantitative data shows the “what” and “how much,” while qualitative data explains the “why.” This combination gives us a complete picture, leading to better decisions and strategies.
Explains the different types of data sets and their formats.
● What is structured data? When would you use it in your role?
● OR What is unstructured data? When would you use it in your role?
Structured Data: This is data that is predefined and formatted, like data in spreadsheets such as sales data, and transaction records. It’s organised in rows and columns, making it easy to search and analyse. I use structured data to track sales performance and generate reports.
Unstructured Data: This is data that isn’t formatted in a set structure, like text from customer feedback, social media comments, and survey responses. It’s stored in its native format and processed when needed. I use unstructured data to understand customer opinions and improve our services.
By using both structured and unstructured data, we get a complete view of our operations and customer experiences, leading to better decision-making and service improvements.
● How is data valuable to your organisation and team?
● How is data used in your organisation to make decisions?
● How is the analysis of this data important to your organisation?
Describes the value of the data to the organisation and the importance of analysis management.
Value of Data: Data helps us with sales tracking, customer feedback, and market analysis. It allows us to understand trends, customer needs, and business performance.
Using Data for Decisions: We use data to make informed decisions, like adjusting our marketing strategies based on sales data or improving services based on customer feedback. For example, sales data helps us allocate advertising spend effectively, while customer feedback guides product improvements.
Importance of Analysis: Analysing data is important because it turns raw information into actionable insights. This helps us forecast trends, reduce waste, and maximise profitability. For instance, by analysing sales trends, we can predict future demand and adjust our inventory accordingly.
By valuing and analysing data, Moneycorp can make better decisions, improve services, and stay competitive in the market.
● How does your business use data to inform customers and other external stakeholders?
● What external data sets does your organisation use?
Describes the role of data in the digital domain (including the use of external trusted data sets) and how it underpins every digital interaction including applications, devices, IoT and customer centricity.
Types of Data: We use sales data to show customers how our products are performing. Customer feedback helps us demonstrate the value of our services to potential partners. Revenue data is shared with investors to highlight our financial health.
External Datasets: We use data from The World Open Bank to understand global economic trends. Additionally, we use data from Companies House to verify business information and ensure compliance. This helps us make informed decisions and provide accurate forecasts to our stakeholders.
By using these datasets, we provide clear and accurate information to our customers and stakeholders, helping them make informed decisions. This data underpins every digital interaction, including applications, devices, and IoT (Internet of Things). It ensures that our services are customer-centric and reliable.
● How is the data you work with stored in your organisation?
● What are the different ways in which data can be stored?
Explains the different types of data formats and data architectures including premises and cloud.
We primarily use cloud-based solutions to store our data. We rely on platforms like Google Drive and SharePoint. These tools allow us to store large amounts of data securely and make it easily accessible to team members from different locations. The cloud storage ensures that our data is backed up regularly and protected against data loss.
Data can be stored on the Cloud, On-Premises which involves using servers. Data can also be stored locally on computers or external hard drives. Physical storage, like paper files and any physical records.
● How do you use your organisation’s communication tools to interact and collaborate with colleagues?
● How do you decide which ones to use?
Describes the characteristics of presentation tools to visualise and review the characteristics of data, and communication tools and technologies for collaborative working.
I use Microsoft Teams for quick updates, questions and ongoing project discussions.
I use Emails to communicate with senior leaders or when I need to send detailed information, seniors are often busy, so email is a good way to ensure they can read and respond at their own convenience.
I use Video Chat for more detailed discussions or when I need to clarify things with stakeholders. This helps in having a more personal interaction and ensures all questions are answered clearly.
I use In-Person meetings when the situation is appropriate, good for the start of projects, brainstorming sessions or discussing complex issues. This ensures good collaboration and understanding.
By choosing the right communication tool for each situation, I ensure effective and efficient communication within the organisation. This helps in keeping everyone informed and makes collaboration smoother.
● What presentation tools used by your organisation do you use to visualise and review data?
Describes the characteristics of presentation tools to visualise and review the characteristics of data, and communication tools and technologies for collaborative working.
I use Alteryx and Excel to create detailed reports and perform data analysis. This helps in reviewing data and identifying trends or patterns.
I use Power BI to create dashboards/interactive charts that show real-time data. This helps in monitoring key metrics and making data-driven decisions quickly.
I use PowerPoint to create slideshows that help in presenting data visually during meetings. This makes it easier to explain complex data to stakeholders.
