What new business analysis trends can you learn?

New business analysis trends to learn : Data-driven business analysis: Use data to inform and support business decisions, identify opportunities, improve processes, and make better decisions. Agile business analysis: Work closely with stakeholders to gather and analyze requirements, and to develop and implement solutions quickly and efficiently. AI and ML: Automate tasks in business analysis, such as data gathering, analysis, and reporting. Blockchain: Improve the efficiency and security of business processes. IoT: Use IoT data to improve business processes and develop new products and services. These trends can help you to stay ahead of the curve and to become a more valuable asset to your organization.

As per the current trend, Business Analyst who has hands on experience on Data side are on the rise. So learning any Visualization tools will give you an added advantage. 2-Knowledge of cloud computing will be also an added advantage. 3-VBA or Python 4-Machine learning techniques. The above mentioned option is the recent trend which I have observed. You can connect with me more for this!.

AI-driven analytics, blockchain applications, and enhanced data visualization techniques. Learning and applying these trends can help drive better decision-making and business success

Business needs are emergent and in many cases no matter how well defined a solution seems at the beginning co-creating requirements need to be a part of the process. It can be a faster process when done well and done right. Big picture + Requirement details = Co-creating. We work together to discover requirements. It is about co-creating the future together and then documenting what is discussed.

Learning Agile benefits business analysts (BAs) by improving adaptability, customer focus, communication, and delivery speed. BAs can explore Agile training and certifications to enhance these skills. Incorporating Agile practices into the BA toolkit is a strategic move. BAs who embrace Agile become more adaptable, proficient, and valuable contributors to Agile-driven projects, leading to more successful project outcomes and a stronger position in the business analysis field.

An example I’ve seen helpful as a finance professional is the rising role of data analytics in the finance industry. It aims to provide insights and guide recommendations of executives in setting customer acquisition and retention strategies. In addition, analysts should work closely with decision makers when applying predictive analytics - predicts what is most likely to happen in the future - compared to other data analysis methods.

The demand for data analytics and visualization skills is reshaping the business analysis landscape. Embracing these skills is not just a trend; it's a necessity for Business Analysts to thrive in an increasingly data-driven business world.

I spearheaded a pivotal project that revolutionized how our U.S. Outside Sales Consultants accessed and interacted with their data. Using Microsoft BI, I engineered a personalized dashboard accessible via a dedicated app. This empowered each consultant to view real-time metrics, from sales performance to client engagement, directly on their mobile devices. The immediate result? A more agile, informed sales force that could make data-driven decisions on the fly, leading to enhanced performance and client relationships. #HenrySchein #SalesDashboard #MicrosoftBI #RealTimeMetrics #DataDriven #MobileApp

One thing I’ve found helpful as an analytics professional is being able to look at the data from different angles. Even during the requirements stage wearing multiple user hats while you are thinking through the design and metrics really enriches the value of that data. Self service BI if designed correctly allows any user to interact and gain value with data transparency being absolutely essential. This way they are taught to fish, create n number of reports or visualizations. That empowerment sharply increases the quality of the data feeding the KPI’s as its coming directly from a users own perspective. This quickly accelerates the data warehouse/lake to be predictive/proscriptive as it’s being shaped and formed by users and analysts.

Business process automation starts with a deep analysis of the process itself. Automating a poor process will consume more resources before providing actual value. Start with these questions: 1. What are we doing? 2. Why are we doing it? 3. How are we doing it? 4. Why are we doing it that way? 5. How can we make it better? Pro tip: if the answer to #4 is 'this is the way we've always done it,' you've struck gold. Dive DEEP here!

This is absolutely one of the important trends for business analysis. BPA is really something that cannot be overlooked and it should be taken seriously by all organizations.

I saw the undeniable impact of Business Process Automation (BPA) in streamlining dental practice transitions. Recognizing the need for efficiency, I took the initiative to identify tasks that were ripe for automation. I designed workflows that helped reduce human error and accelerate the transition process. By automation and self sampling to monitor outcomes, we not only saved time but also improved the overall quality of our services. BPA has become a cornerstone in our strategy to deliver high client satisfaction. #BusinessProcessAutomation #Efficiency #QualityImprovement #DentalPracticeTransitions

Business analysis now involves a strong emphasis on process automation. Automation can significantly reduce manual effort and improve operational efficiency. In my last organization, PwC , we implemented Salesforce Automation to streamline routine QA tasks. This not only reduced errors but also allowed our team to focus on more strategic tasks, ultimately improving customer satisfaction.

This has grown a lot in previous years and will continue to grow as a trend! No matter your end users and internal or external, we need to make them better and faster at the tasks they are trying to do with the product/system. The path to this is to understand techniques and thinking patterns that help us with design thinking and user experience. My favorite techniques are: Empathy Mapping, Customer Journey Maps, and Impact Mapping, structured user scenarios.

I have personally found this to be extremely important as usability is essential in self service BI. If a user can navigate data, they recognize potential adverse events easily, and solve their own questions and problems. Not having to rely on someone else has a direct emotional impact on a user. Similar to journey maps, BI tools such as sun diagrams can be worked into the requirements so that the users have an easy visual understanding of how the data interacts and aligns. This gives them some insight into the behind the scenes technical details that analysts and developers handle such as joins, dimensional modeling, 1:M relationships without having to be technical or overwhelmed.

Absolutely, the integration of design thinking and user experience (UX) principles into business analysis is a transformative trend. It aligns perfectly with my latest article, "Enhancing Business Requirements Analysis through Problem-Solving Techniques." Incorporating empathy maps, personas, journey maps, prototypes, and usability testing into the business analysis process is not only valuable but also essential. It empowers business analysts to truly understand user needs, preferences, and emotions, resulting in solutions that are not only functional but also desirable, feasible, and viable. Collaborating closely with designers and developers further enriches the analysis process, ensuring a human-centered approach to problem-solving.

The design thinking is something which is really the way the product will be visible to the end user so it is very important for a business Analyst to understand how the user journey looks along with the clear UI/UX which makes there journey easy and interactive interface. Wireframing and making correct flow makes the Business Analyst to keep up with UI trend

Design thinking and user experience have gained prominence in business analysis. Understanding the end-users' perspective is vital for crafting solutions that truly meet their needs. During a project for a healthcare software solution, I embraced design thinking principles to empathize with healthcare providers and patients. This approach led to the development of a user-friendly interface that streamlined data entry and reduced errors, resulting in a more user-centric product.

In my experience, Technical knowledge and soft skills are the key components to become a successful BA. On the contrary, business analysis certifications helps an individual helps them get familiar with the activities and boundaries as a Business analyst. Furthermore, it helps business analysts hone their basic skills which in turn helps them to pursue more opportunities in different industries.

This is absolutely an important trend. Although the actual hands-on experience is important, but certification can assure that this experience is based on correct standards and proper techniques. Certifications do not only provide recognition, but also provide trust to business analysts holding such certifications from one side and also to their employers from the other side.

Certifications are helpful to put your foot on the door on the concepts and be updated on the constant changes that happens in the business analysis world. Having a certification does not only displays your knowledge and competency but also gives the confidence that you need especially in doing business analysis activities.

Obtaining relevant certifications in business analysis has become a growing trend. Certifications like the Certified Business Analysis Professional (CBAP) or Agile certifications provide recognition of one's expertise and commitment to the field. Personally, I pursued the CSM certification, which not only expanded my knowledge but also boosted my credibility and career prospects.

The pace of change in the business world requires professionals to prioritize continuous learning and development. Whether it's staying updated on emerging technologies or enhancing soft skills, ongoing education is crucial. In my role as a business analyst, I regularly attend webinars, workshops, and conferences. This has helped me stay at the forefront of industry trends and bring new insights to my projects.

To this end, such learning has to be affordable. Companies must be willing to invest in training, and accept that BAs don't improve in a vacuum, or by googling a solution. And more practiced BAs have to be willing to share their hard-earned knowledge with new BAs BEFORE they retire.

At my company, continuous learning is not just a catchphrase; it's a necessity. I've established a learning roadmap that aligns with both short-term project needs and long-term career goals. Utilizing resources like online courses, we've sharpened our skills in data analytics and customer relationship management and capturing missed opportunities. Regularly, I hold meetings to share our learnings with each other as a team to foster a culture of collective growth. Additionally, mentorship plays a key role, as both a mentee and mentor, in keeping me grounded and focused on development. #ContinuousLearning #BusinessAnalysis #ProfessionalDevelopment #Mentorship #TeamGrowth

Technical skills are crucial to adapt in different technology settings but the most critical skill to be an effective business analyst from my experience is soft skills and improving it. As a BA, we act as intermediaries between stakeholders and technical teams, which requires effective communication, problem-solving, and interpersonal abilities. Mastering empathy, active listening, mediation/conflict resolution, transparency and clear communication helps build trust and will help you elicit better requirements when you build that relationship with the stakeholder.

I see generative AI changing how we do BA work! AI will allow us easier access to more data and understanding of that data of how processes and value streams are actually performing in real time. With code and documentation generated by AI as well our role will become more focused on strategic alignment, and carrying that through to the detailed scenarios and measurements of value. The role will become far less about documentation and system specs.

Artificial intelligence (AI) is the latest trend in Business Analysis world. It has large number of use cases in business analysis such as: -Robotic Process Automation -Expert Systems -Big Data Analytics -Market Analysis And many more...

Using AI in your everyday life. And it's not only ChatGPT, but also AI features in collaborative tools (e-whiteboards like Miro), AI in knowledge bases (like in Atlassian products) etc. Generating ideas, describing user stories - lots of activities can be covered using AI. Important thing: never replace your personality with AI.

Customer-Centric Analysis: Businesses were focusing on understanding their customers better. This involved techniques like customer journey mapping, personas, and user experience analysis to drive product and service improvements. Regulatory Compliance and Risk Analysis: Compliance requirements were growing more complex in many industries. Business analysts with expertise in regulatory compliance and risk assessment were in demand.