Hi, analysts!👋
It is extremely important to share your professional experience with colleagues in order to build a strong community of analysts!🤝
Therefore, today I am sharing with you the thoughts of our colleague Emil Abazov, Senior IT Business Analyst at Andersen Lab 🔆
It is extremely important to share your professional experience with colleagues in order to build a strong community of analysts!
Therefore, today I am sharing with you the thoughts of our colleague Emil Abazov, Senior IT Business Analyst at Andersen Lab 🔆
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Hi, analysts!👋
Let's start this week by looking at a topic like Data Mapping.
📊 What is Data Mapping?
As a business analyst, mastering data mapping is essential to ensure smooth data flow between systems, avoiding inconsistencies and mapping issues.
🔍 Why Data Mapping?
Seamless Operations: Ensure data flows smoothly between systems.
Project Control: Start projects on the right foot for successful implementation.
No Coding Needed: Create data maps without coding or SQL knowledge.
📺 Watch the Video
In this video, Laura guides you through creating a data map step-by-step. Understand data mapping to confidently handle data migration and system integration projects.
📌 Key Components of a Data Map
- Source Attributes: List of original data attributes.
- Target Attributes: Corresponding attributes in the target system.
- Translation Rules: Define any data manipulations needed.
🛠 Resolving Issues with Data Mapping
Data mapping helps discover and resolve potential issues before implementation, preventing data loss or misrepresentation.
For example:
HTML in Titles: Ensure HTML in source data is handled properly.
Multiple Categories: Map multiple categories to a single text field.
Character Limits: Handle field length differences between systems.
Happy learning! 📚
Let's start this week by looking at a topic like Data Mapping.
📊 What is Data Mapping?
As a business analyst, mastering data mapping is essential to ensure smooth data flow between systems, avoiding inconsistencies and mapping issues.
🔍 Why Data Mapping?
Seamless Operations: Ensure data flows smoothly between systems.
Project Control: Start projects on the right foot for successful implementation.
No Coding Needed: Create data maps without coding or SQL knowledge.
📺 Watch the Video
In this video, Laura guides you through creating a data map step-by-step. Understand data mapping to confidently handle data migration and system integration projects.
📌 Key Components of a Data Map
- Source Attributes: List of original data attributes.
- Target Attributes: Corresponding attributes in the target system.
- Translation Rules: Define any data manipulations needed.
🛠 Resolving Issues with Data Mapping
Data mapping helps discover and resolve potential issues before implementation, preventing data loss or misrepresentation.
For example:
HTML in Titles: Ensure HTML in source data is handled properly.
Multiple Categories: Map multiple categories to a single text field.
Character Limits: Handle field length differences between systems.
Happy learning! 📚
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YouTube
Creating a Data Map - A Vital Step to Data Migration & System Integration
Laura Brandenburg discusses data mapping and data models, focusing on the importance of data mapping in business analysis for seamless data integration and migration.
Click here to subscribe for more business analysis videos: https://bit.ly/3Swfxa3
Not…
Click here to subscribe for more business analysis videos: https://bit.ly/3Swfxa3
Not…
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Hi, analysts! 👋
Let's not forget the importance of such a document as Definition of Done (DoD)!
🔍 Why Is the Definition of Done So Important?
The Definition of Done (DoD) is crucial in guiding teams towards their goals. It ensures that each product backlog item delivers value while maintaining quality standards.
✅ Key Benefits of the Definition of Done:
- Ensuring Alignment:
Aligns every item, feature, and increment with broader business objectives.
Ensures team efforts contribute to long-term goals like market expansion and customer satisfaction.
- Stakeholder Satisfaction:
Manages expectations with a transparent agreement.
Builds trust and fosters positive relationships with stakeholders.
- Shared Understanding:
Clearly defines what it means to complete a work item.
Prevents misunderstandings and misalignments, ensuring unified team objectives.
- Quality Assurance:
Sets a quality benchmark for deliverables.
Ensures both functional and non-functional requirements, like performance and security, are met.
- Reputation and Trust:
Enhances the organization's market reputation.
Builds a loyal customer base and attracts valuable partnerships.
The DoD is the backbone of successful product development, weaving together stakeholder aspirations and execution realities. By embracing this definition, teams can confidently navigate challenges and deliver impactful products.🚀
Let's not forget the importance of such a document as Definition of Done (DoD)!
🔍 Why Is the Definition of Done So Important?
The Definition of Done (DoD) is crucial in guiding teams towards their goals. It ensures that each product backlog item delivers value while maintaining quality standards.
- Ensuring Alignment:
Aligns every item, feature, and increment with broader business objectives.
Ensures team efforts contribute to long-term goals like market expansion and customer satisfaction.
- Stakeholder Satisfaction:
Manages expectations with a transparent agreement.
Builds trust and fosters positive relationships with stakeholders.
- Shared Understanding:
Clearly defines what it means to complete a work item.
Prevents misunderstandings and misalignments, ensuring unified team objectives.
- Quality Assurance:
Sets a quality benchmark for deliverables.
Ensures both functional and non-functional requirements, like performance and security, are met.
- Reputation and Trust:
Enhances the organization's market reputation.
Builds a loyal customer base and attracts valuable partnerships.
The DoD is the backbone of successful product development, weaving together stakeholder aspirations and execution realities. By embracing this definition, teams can confidently navigate challenges and deliver impactful products.🚀
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Hi, analysts! 👋
🌟 12 Data Structures You Must Know 🌟
Data structures form the backbone of efficient programming. They organize and manage data for optimal access and manipulation.
🧑💻As a tech professional, mastering these structures is essential:
1. Arrays: Collection of items in contiguous memory, efficient for random access.
2. Strings: Sequence of characters used for representing text.
3. Tuples: Immutable lists suitable for storing fixed collections of elements.
4. Lists: Flexible linear collections accommodating various data types.
5. Dictionaries: Hash tables storing key-value pairs for efficient lookups.
6. Sets: Collections of unique elements, ideal for uniqueness checks.
7. Trees: Hierarchical structures with nodes and child nodes, great for searching and sorting.
8. Linked Lists: Linear structures with nodes linked via pointers, beneficial for dynamic data.
9. Stacks: LIFO structures for undo/redo operations and function call management.
10. Queues: FIFO structures for task processing in specific order.
11. Graphs: Non-linear structures of nodes and edges, representing object relationships.
12. Maps: Stores key-value pairs with keys of any data type, enhancing data retrieval.
Mastering these data structures empowers you to write efficient code and ace those tough interview questions. 🚀
#cheatsheet
🌟 12 Data Structures You Must Know 🌟
Data structures form the backbone of efficient programming. They organize and manage data for optimal access and manipulation.
🧑💻As a tech professional, mastering these structures is essential:
1. Arrays: Collection of items in contiguous memory, efficient for random access.
2. Strings: Sequence of characters used for representing text.
3. Tuples: Immutable lists suitable for storing fixed collections of elements.
4. Lists: Flexible linear collections accommodating various data types.
5. Dictionaries: Hash tables storing key-value pairs for efficient lookups.
6. Sets: Collections of unique elements, ideal for uniqueness checks.
7. Trees: Hierarchical structures with nodes and child nodes, great for searching and sorting.
8. Linked Lists: Linear structures with nodes linked via pointers, beneficial for dynamic data.
9. Stacks: LIFO structures for undo/redo operations and function call management.
10. Queues: FIFO structures for task processing in specific order.
11. Graphs: Non-linear structures of nodes and edges, representing object relationships.
12. Maps: Stores key-value pairs with keys of any data type, enhancing data retrieval.
Mastering these data structures empowers you to write efficient code and ace those tough interview questions. 🚀
#cheatsheet
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Hi, dear analysts!👋
🌱 Junior Analysts: How Not to Burn Out After the First Project 🌱
Today I want to share experience and tips for Junior systems\business analysts.💛
The role of a systems analyst requires not only technical knowledge, but also the ability to communicate effectively with the team and clients.
Here's what you should keep in mind to avoid "burnout" after the first project.
Challenges of starting a career 🎈
The IT industry often requires professionals with 3-6 years of experience, which can create a barrier for beginners. Courses and self-study are important, but without real-world experience on projects, it's difficult to progress further.
What to do if you are a junior? 🧑🎓
1️⃣ Immerse yourself in the subject area: Getting up to speed quickly on the project topic and adjusting to the team will help you get up to speed faster. Don't hesitate to ask questions and seek support from your colleagues.
2️⃣ Stress management: The first project can be a daunting experience. Accept the fact that the initial stages are a time of active learning and adapting to new tasks.
3️⃣ Continuous learning: Even after starting a job, it's important to keep learning. Learn new technologies and techniques to stay on top of trends and complete tasks efficiently.
4️⃣Communication and collaboration: A systems\business analyst often works as an intermediary between the business and developers. Being able to clearly and concisely explain requirements and interact with different interests is important for project success.
*️⃣ Conclusion
The initial period of working as a systems\business analyst can be a challenge, but it also opens doors to new opportunities and growth. It is important to remember that every project is a chance to learn and gain experience that will help you become a true professional in your field in the future.
Don't be afraid of challenges and always strive for self-development - this is the key to success in IT🚀
🌱 Junior Analysts: How Not to Burn Out After the First Project 🌱
Today I want to share experience and tips for Junior systems\business analysts.💛
The role of a systems analyst requires not only technical knowledge, but also the ability to communicate effectively with the team and clients.
Here's what you should keep in mind to avoid "burnout" after the first project.
Challenges of starting a career 🎈
The IT industry often requires professionals with 3-6 years of experience, which can create a barrier for beginners. Courses and self-study are important, but without real-world experience on projects, it's difficult to progress further.
What to do if you are a junior? 🧑🎓
1️⃣ Immerse yourself in the subject area: Getting up to speed quickly on the project topic and adjusting to the team will help you get up to speed faster. Don't hesitate to ask questions and seek support from your colleagues.
2️⃣ Stress management: The first project can be a daunting experience. Accept the fact that the initial stages are a time of active learning and adapting to new tasks.
3️⃣ Continuous learning: Even after starting a job, it's important to keep learning. Learn new technologies and techniques to stay on top of trends and complete tasks efficiently.
4️⃣Communication and collaboration: A systems\business analyst often works as an intermediary between the business and developers. Being able to clearly and concisely explain requirements and interact with different interests is important for project success.
*️⃣ Conclusion
The initial period of working as a systems\business analyst can be a challenge, but it also opens doors to new opportunities and growth. It is important to remember that every project is a chance to learn and gain experience that will help you become a true professional in your field in the future.
Don't be afraid of challenges and always strive for self-development - this is the key to success in IT🚀
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Hi, analysts! 👋
🌟 How To Effectively Use the Pareto Principle And What Is The 80-20 Rule 🌟
Whether you’re a seasoned Business Analyst or just starting out, you’ve likely come across the 80-20 rule, also known as the Pareto Principle.
📈 Here’s a comprehensive guide on how to understand and utilize the Pareto Principle effectively:
ℹ️ Understanding the Origin and Definition
The Pareto Principle originated in 1895 when Italian economist Vilfredo Pareto observed that 80% of Italy’s land was owned by 20% of the population. This observation led to the generalization that in many situations, 80% of the effects come from 20% of the causes. In business terms, this means that a minority of inputs often leads to the majority of outputs.
📝 Application of the 80-20 Rule
1️⃣ Products and Revenue
Identify which 20% of products or services generate 80% of your sales or profits. Focus your resources on these top-performing items to maximize profitability.
2️⃣ Customer Segments
Determine which 20% of customers contribute to 80% of your recurring business. Tailor your marketing and customer service efforts to retain and expand this valuable segment.
3️⃣ Employees and Performance
Recognize which 20% of your employees drive 80% of the company's productivity or revenue. Acknowledge and incentivize these top performers while also addressing performance issues in the bottom 20%.
4️⃣ Business Processes and Efficiency
Apply the Pareto Principle to streamline operations by identifying which 20% of activities consume 80% of resources or cause the most delays. Optimize these processes to enhance overall efficiency.
🔝 Best Practices and Considerations
🔹Flexibility in Ratios: Don’t fixate on achieving a perfect 80-20 split. The principle highlights the imbalance in input-output relationships rather than a rigid ratio.
🔹Avoid Over-Simplification: While powerful, avoid oversimplifying complex business dynamics solely based on the Pareto Principle. Use it as a guiding tool alongside comprehensive analysis.
Why Is The Pareto Principle Important ⁉️
The Pareto Principle offers a structured approach to prioritize efforts and resources effectively. By focusing on the critical few inputs that drive the most significant outcomes, businesses can achieve higher efficiency and strategic alignment.
Final Thoughts 🏁
Mastering the Pareto Principle empowers Business Analysts to make informed decisions, optimize processes, and drive substantial improvements across all facets of their organization. Embrace its versatility and apply it wisely to unlock new levels of productivity and success!
How useful is this principle in your work and how often do you use it? Write in the comments!🔆
Whether you’re a seasoned Business Analyst or just starting out, you’ve likely come across the 80-20 rule, also known as the Pareto Principle.
📈 Here’s a comprehensive guide on how to understand and utilize the Pareto Principle effectively:
ℹ️ Understanding the Origin and Definition
The Pareto Principle originated in 1895 when Italian economist Vilfredo Pareto observed that 80% of Italy’s land was owned by 20% of the population. This observation led to the generalization that in many situations, 80% of the effects come from 20% of the causes. In business terms, this means that a minority of inputs often leads to the majority of outputs.
📝 Application of the 80-20 Rule
1️⃣ Products and Revenue
Identify which 20% of products or services generate 80% of your sales or profits. Focus your resources on these top-performing items to maximize profitability.
2️⃣ Customer Segments
Determine which 20% of customers contribute to 80% of your recurring business. Tailor your marketing and customer service efforts to retain and expand this valuable segment.
3️⃣ Employees and Performance
Recognize which 20% of your employees drive 80% of the company's productivity or revenue. Acknowledge and incentivize these top performers while also addressing performance issues in the bottom 20%.
4️⃣ Business Processes and Efficiency
Apply the Pareto Principle to streamline operations by identifying which 20% of activities consume 80% of resources or cause the most delays. Optimize these processes to enhance overall efficiency.
🔝 Best Practices and Considerations
🔹Flexibility in Ratios: Don’t fixate on achieving a perfect 80-20 split. The principle highlights the imbalance in input-output relationships rather than a rigid ratio.
🔹Avoid Over-Simplification: While powerful, avoid oversimplifying complex business dynamics solely based on the Pareto Principle. Use it as a guiding tool alongside comprehensive analysis.
Why Is The Pareto Principle Important ⁉️
The Pareto Principle offers a structured approach to prioritize efforts and resources effectively. By focusing on the critical few inputs that drive the most significant outcomes, businesses can achieve higher efficiency and strategic alignment.
Final Thoughts 🏁
Mastering the Pareto Principle empowers Business Analysts to make informed decisions, optimize processes, and drive substantial improvements across all facets of their organization. Embrace its versatility and apply it wisely to unlock new levels of productivity and success!
How useful is this principle in your work and how often do you use it? Write in the comments!🔆
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Hi, dear analysts!💛
This Tuesday, let me share with you the charge of kindness and mutual understanding from Emil Abazov, Senior IT Business Analyst at Andersen Lab 🔆
This Tuesday, let me share with you the charge of kindness and mutual understanding from Emil Abazov, Senior IT Business Analyst at Andersen Lab 🔆
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🤝 Bridging the BA-UX Gap 🤝
In every project, tensions often arise between Business Analysts (BAs) and User Experience Engineers (UXers). Despite their differences, these roles share significant similarities and responsibilities that contribute to project success.
🔸Roles Defined:
📊 BAs focus on understanding project domains and user needs, defining requirements, and ensuring solutions meet business objectives within constraints.
🎨 UXers enhance user interactions with products by prioritizing a "user-centered" approach. They create user flows, wireframes, prototypes, and refine visual aesthetics throughout the product lifecycle.
🔸Navigating Differences:
While BAs emphasize business aspects, UXers prioritize user experiences. BAs document requirements, while UXers excel in visual communication through wireframes and mock-ups.
🔸Clarity in Roles:
Defined roles are crucial for effective project management. BAs and UXers collaborate on tasks like information architecture and user testing, ensuring alignment in objectives and minimizing rework.
🔸The Rise of Hybrid Roles:
The trend towards hybrid BA-UX roles highlights the increasing value of professionals with cross-functional competencies. Future job requirements may demand proficiency in both disciplines.
🔶Message to Professionals:
Quote from Ian Worley, Head of Product Design & User Experience at Marshall Wace:
"Clients don't buy UX or BA people, they buy solutions. Work together to organize resources and skills, focusing on delivering impactful results." 🚀
In every project, tensions often arise between Business Analysts (BAs) and User Experience Engineers (UXers). Despite their differences, these roles share significant similarities and responsibilities that contribute to project success.
🔸Roles Defined:
📊 BAs focus on understanding project domains and user needs, defining requirements, and ensuring solutions meet business objectives within constraints.
🎨 UXers enhance user interactions with products by prioritizing a "user-centered" approach. They create user flows, wireframes, prototypes, and refine visual aesthetics throughout the product lifecycle.
🔸Navigating Differences:
While BAs emphasize business aspects, UXers prioritize user experiences. BAs document requirements, while UXers excel in visual communication through wireframes and mock-ups.
🔸Clarity in Roles:
Defined roles are crucial for effective project management. BAs and UXers collaborate on tasks like information architecture and user testing, ensuring alignment in objectives and minimizing rework.
🔸The Rise of Hybrid Roles:
The trend towards hybrid BA-UX roles highlights the increasing value of professionals with cross-functional competencies. Future job requirements may demand proficiency in both disciplines.
🔶Message to Professionals:
Quote from Ian Worley, Head of Product Design & User Experience at Marshall Wace:
"Clients don't buy UX or BA people, they buy solutions. Work together to organize resources and skills, focusing on delivering impactful results." 🚀
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Hey, Business Analysts! Do you want to effectively use Artificial Intelligence in your work? Then, you are at the right place!
Two speakers’ presentations await you at the upcoming Tech Talk with Andersen on August 14 in Minsk (and online):
👨🏻💻 Olga Kletskina (Business Analyst), “Trust, but verify. Responsible attitude towards AI in the work of a business analyst”
– Talking about how AI generates results;
– Discussing the main challenges of using AI for BA tasks;
– Highlighting how to verify the results of queries posed to AI.
👨🏻💻 Yuliya Pantsiuk (Business Analyst), “How to interact with AI to get the most out of it”
– Analyzing how to craft prompts that elicit comprehensive answers from AI;
– Learning how to automate routine BA tasks to boost efficiency;
– Finding out how to master new ways of using AI for your tasks.
Register here: https://people.andersenlab.com/ru/events/ba-minsk-offline-meetup
Tech Talk details:
⏰ Time: 18:00 (CET)/ 19:00 (Minsk time)
🕒 Duration: 1 hour
🗣️ Language: Russian
📍 Offline: Andersen’s office in Minsk
💻 Online: The link to the stream will be sent to your email specified in the registration form
See you!
Become a speaker
Two speakers’ presentations await you at the upcoming Tech Talk with Andersen on August 14 in Minsk (and online):
👨🏻💻 Olga Kletskina (Business Analyst), “Trust, but verify. Responsible attitude towards AI in the work of a business analyst”
– Talking about how AI generates results;
– Discussing the main challenges of using AI for BA tasks;
– Highlighting how to verify the results of queries posed to AI.
👨🏻💻 Yuliya Pantsiuk (Business Analyst), “How to interact with AI to get the most out of it”
– Analyzing how to craft prompts that elicit comprehensive answers from AI;
– Learning how to automate routine BA tasks to boost efficiency;
– Finding out how to master new ways of using AI for your tasks.
Register here: https://people.andersenlab.com/ru/events/ba-minsk-offline-meetup
Tech Talk details:
⏰ Time: 18:00 (CET)/ 19:00 (Minsk time)
🕒 Duration: 1 hour
🗣️ Language: Russian
📍 Offline: Andersen’s office in Minsk
💻 Online: The link to the stream will be sent to your email specified in the registration form
See you!
Become a speaker
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Hi, dear analysts! 👋
It's high time to summarize the results of the survey on which topics are the most interesting for you. Based on your valuable answers, we have three top-rated winners!🏆
Thank you for your contribution to the channel and don't forget to leave your reactions below the posts 💛
Very soon we will be looking at your favourite topics 🔜
It's high time to summarize the results of the survey on which topics are the most interesting for you. Based on your valuable answers, we have three top-rated winners!🏆
Thank you for your contribution to the channel and don't forget to leave your reactions below the posts 💛
Very soon we will be looking at your favourite topics 🔜
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Hi, analysts!👋
A new week and a new topic! Today I propose to start reviewing the top-rated topic of our survey - 🥇 Case Studies.
And for today we have Case study FAQ & Case study tips 💡
A new week and a new topic! Today I propose to start reviewing the top-rated topic of our survey - 🥇 Case Studies.
And for today we have Case study FAQ & Case study tips 💡
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Coming up with an interesting topic, mixing creativity with analytics, integrating an experienced speaker, and, voilà – a new meetup is ready!
On August 23, we’re going to hold an online BA/SA meetup. We’ll tell you how to reveal that a product is developing in the wrong direction. A practice-based approach, as usual.
👨🏻💻 Speaker: Vadim Rutkevich (Business Analyst)
Ex-B2B SaaS Product Manager with over 6 years of industry experience. Vadim has successfully built and launched multiple products by leveraging his expertise in product strategy, customer development, and decision-making with limited data. He knows market dynamics, consumer behavior, and competitor analysis inside out, allowing him to identify market opportunities and develop compelling product roadmaps aligned with the business objectives.
Register here: https://people.andersenlab.com/events/ba-product-online-meetup
This session will provide valuable insights into:
– Product management challenges;
– Sales issues;
– Customer research gaps;
– Product usage problems.
We'll explain how to spot these problems as they emerge, their potential impacts, and actionable strategies to resolve them.
Tech Talk details:
⏰ Time: 18:00 (CET)
🕒 Duration: 30 minutes
🗣️ Language: English
💻 Online: The link to the stream will be sent to your email specified in the registration form
See you!
Become a speaker
On August 23, we’re going to hold an online BA/SA meetup. We’ll tell you how to reveal that a product is developing in the wrong direction. A practice-based approach, as usual.
👨🏻💻 Speaker: Vadim Rutkevich (Business Analyst)
Ex-B2B SaaS Product Manager with over 6 years of industry experience. Vadim has successfully built and launched multiple products by leveraging his expertise in product strategy, customer development, and decision-making with limited data. He knows market dynamics, consumer behavior, and competitor analysis inside out, allowing him to identify market opportunities and develop compelling product roadmaps aligned with the business objectives.
Register here: https://people.andersenlab.com/events/ba-product-online-meetup
This session will provide valuable insights into:
– Product management challenges;
– Sales issues;
– Customer research gaps;
– Product usage problems.
We'll explain how to spot these problems as they emerge, their potential impacts, and actionable strategies to resolve them.
Tech Talk details:
⏰ Time: 18:00 (CET)
🕒 Duration: 30 minutes
🗣️ Language: English
💻 Online: The link to the stream will be sent to your email specified in the registration form
See you!
Become a speaker
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Hi, dear analysts! 👋
Yesterday we went over Case study FAQ & Case study tips, today I bring you a great real-life case study of Andersen, where Samsung was the client!
More details of more remarkable case studies of Andersen you can find here 💛
Yesterday we went over Case study FAQ & Case study tips, today I bring you a great real-life case study of Andersen, where Samsung was the client!
More details of more remarkable case studies of Andersen you can find here 💛
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