Andrew Murtagh’s Post

🔍 Asking the RIGHT questions is a superpower for data analysts! Good questioning leads to clarity and insights, guiding businesses towards informed decisions. As a data analyst, your inquisitive mindset is your greatest tool. Here's a quick guide to enhance your question-asking game: 1. Start with 'why' - Why does the data matter? 2. Narrow down to 'what' - What are the specific metrics or data points? 3. Consider 'how' - How will the data be collected and analyzed? 4. Think of 'who' - Who will be affected or needs to be informed? 5. Look at 'when' - When is the data relevant or required? By tackling these angles, you’ll uncover layers of understanding that drive impactful data-driven strategies. #DataAnalysis #CriticalThinking #QuestioningSkills #BusinessIntelligence #DataDrivenDecisions

Happy new month data fam. Dear Data Newbies, as you practice and get your hands dirty with datasets, you should prioritize solving business problems over tools proficiency. It's okay to learn as many tools as you want to, but make sure you also know how to use those tools to solve business problems. Your role as a Data Analyst is to help organizations solve business problems and make better decisions by analyzing data to identify trends, patterns, and insights. Put yourself out there as someone who has the ability to solve problems and help organizations achieve long term success. #datafam #dataanalyst #data #dataanalysis #solvebusinessproblems

Data analysis is a crucial skill in today’s data-driven business world. Companies rely on data analysts to help them make informed decisions, improve their operations, and stay competitive. And so, all healthy businesses actively seek skilled data analysts. #Business #Data #Dataanalyst #analysis

So thrilled to have had the opportunity to #learn from industry experts on leveraging data analytics to drive #businessgrowth! Here are some steps that we should do as a Data analyst before jumping to the tools. Some things we ABSOLUTELY must define in this CRUCIAL first step include: 1. Business Problem Statement: Clearly articulate what business problem you are trying to address or what decision you need to inform with the analysis. 🏢🔎🤔 2. Key Questions: Determine the MOST important questions❓you want the analysis to answer based on achieving the DESIRED outcome! ✨ Data Requirements: Identify EARLY🔜 the key types of data (structured/unstructured, internal/external etc.) you will likely need to gather from relevant sources in order to EFFECTIVELY address those BIG questions! 💾🤹🏽♀️👩🏽💻 3. Success Criteria: Define what SUCCESS 🎆looks like – the key insights or metrics that will indicate the analysis has HELPED BIG TIME with resolving the business problem or objective you set out!! 🎯📈🙌🏼 Please 👋🏻 connect if you want to further discuss implementation ideas or need analytics assistance.

Day 13 Part 2. Exploring the role of data analysts in business strategy. Data analysts provide insights that drive strategic decisions. Their work ensures that businesses operate efficiently and effectively. Looking forward to leveraging data analysis to contribute to business success! #DataAnalyst #BusinessStrategy

**"Data is more than just values and information—it's the foundation of informed decision-making. As data analysts, our role goes beyond crunching data; it's about telling a story that drives action. One of the most critical skills in data analytics is the ability to translate complex data into clear, actionable insights. Whether you're working with big data or small datasets, always ask: *What is the story this data is trying to tell?* Remember, the true value of data lies in its ability to create impact. Stay curious, keep refining your analytical skills, and never underestimate the power of a well-told data story."**🦾🙇

It's been a while here 😊 A quick one: 𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗱𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗲 𝘄𝗵𝗮𝘁 𝗼𝘂𝗿 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗼𝗿 𝘀𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲 𝗳𝗿𝗼𝗺 𝘂𝘀? Simply by asking the right questions. This is an essential step in the analytical process. As Data Analysts, we must understand the needs and expectations of our clients or stakeholders. This understanding is crucial for delivering valuable insights, building trust, and driving success in our data analysis projects. "Never assume as a Data Analyst; ask questions, get clarity before you begin to analyze." - Maduka Esther. Thanks coach for this very important reminder. #DataAnalysts #DataAnalysis #ClientNeeds #DataDriven #InsightfulAnalysis #AskQuestions

The role of a data analyst in business Here's what they do: Getting Data Right: They gather data from different places like databases and spreadsheets, making sure it's accurate and error-free. Spotting Trends: By using special tools, they analyze data to find patterns and insights that can help the business. Making Data Easy to Understand: Data analysts create reports and visuals that make it easy for everyone in the company to understand what's happening with the data. Guiding Big Decisions: They provide helpful suggestions to top management by finding ways to save money, make more sales, or manage risks better. Predicting the Future: Using past data, they build models that can predict future trends or outcomes, helping the company plan ahead. Keeping an Eye on Progress: They track key indicators to see if the company is doing well or if there are areas that need improvement. Working Together: Data analysts collaborate with different teams in the company, making sure everyone's data needs are met and that data is used wisely. #dataanalysis #datascience #bussinessanalyst #businessintelligence #dataanalyticsjourney

As a Data Analyst, one of the most common types of insight you'll need to produce is descriptive analysis. In other words, what has happened in the past. Yesterday I helped 8000+ readers understand it better. Missed the issue? Read here: