Master Data Analytics with the Power of Python

If you’ve ever tried to roll out Lean in your organization and felt like nothing truly changed, don’t worry, you’re not alone. Most Lean implementations don’t fail because the tools are wrong. They fail because the approach is. And if you’ve been in the field long enough, you’ve probably seen the same movie play out over and over again. Usually, it goes like: a big launch, posters on the walls, a few training sessions, and a 5S event that looks great for two weeks. Then slowly and almost silently, everything slides back into old habits. Before addressing the primary reasons, it's vital to understand why Lean typically seems successful at first. When a company implements Lean, there is typically a surge of enthusiasm that includes seminars, new training sessions, rapid successes, and observable improvements on the shop floor. This offers the idea that Lean is "working." However, long-term improvement is distinct from early success. Surface-level advantages include things like cleaner areas, reorganized shelves, or a few KPIs showing immediate improvement. The real test comes months later, when the strain of daily operations returns. That's when you find out if Lean was a transitory campaign or if it actually took off. So the question isn’t “Does Lean work?” It’s “Why doesn’t it work for us?” Let's discuss the true causes and, more crucially, how to make continuous progress last. Reason #1: Lean is treated like a project, not a culture This is the classic trap. Companies run Lean like it’s something you “launch,” finish, and move on from. But Lean isn’t a project; it’s a mindset. A culture. A way of seeing problems, asking questions, and improving every day. People view Lean as a checklist rather than a method of working when it is implemented with start and finish dates. The fix: Stop selling Lean as a project. Position it as a long-term behavioral shift. Small daily improvements beat one big “transformation.” Reason #2: Leaders ask for Lean, but don’t live Lean One of the hardest truths about Lean implementations is this: People don’t follow tools. They follow leaders. If leaders skip Gemba walks, ignore problems, and stay stuck behind their laptops, the rest of the organization knows Lean isn’t taken seriously. You can’t build a culture of Continuous Improvement (CI) when leaders are disconnected from the real work. Another hidden reason Lean implementations collapse is poor communication. When leaders emphasize "efficiency," "performance," and "CI," employees frequently hear something completely different: "more work," "more pressure," or "they want to change everything again." People fill the void with their own presumptions when the goal of Lean isn't consistently and clearly explained. Furthermore, resistance is usually the result of assumptions. Lean requires us to convey what we are doing, why we are doing it, and how it will make our daily activities easier. Clarity turns uncertainty into involvement. The fix: Leaders don’t need to be Lean specialists, but they must be present, interested, and consistent in their approach. Teams follow leaders who set an example. Reason #3: Too much focus on tools, not enough on understanding Value Stream Maps. 5S. A3s. Kanban. PDCA. All useful; all powerful. Yet, all pointless if people don’t understand why they are using those tools. Most organizations introduce Lean tools like accessories without explaining the problems those tools are meant to solve. That creates resistance. People think Lean is “extra work” instead of “better work.” Relying too much on training in the classroom is a common mistake we see in the way many organizations teach Lean concepts. Many firms use manuals, PowerPoint presentations, and largely theoretical sessions to teach Lean concepts. People nod along, take notes, and then return to work with nothing changing. Why? Because Lean is a practice, not a lecture. Without seeing them in action, problem-solving, flow, and waste removal cannot be learned. Training needs to be practical and grounded in actual data, real challenges, and real procedures. Nothing is transformed by knowledge without practice. The fix: Start with pain points. Then introduce tools as solutions to real, felt problems, not theoretical ones. Reason #4: No structure to sustain improvements Some organizations actually succeed in improving, but they struggle to maintain the gains. Why? Because they rely on enthusiasm instead of systems. Without standard work, clear ownership, and visual management, improvements fade. What starts strong quickly gets lost in the noise of daily firefighting. The fix: Make improvements easy to see, easy to follow, and impossible to ignore. It takes habits, not hope, to sustain them. Reason #5: Fear of change is stronger than the desire to improve Let’s be honest, change is uncomfortable. Lean exposes problems, and not everyone likes seeing them. Sometimes people resist because Lean feels like a threat: “What happens when everything is efficient? Will my job still matter?” Fear may block progress. The fix: Make Lean about people, not cuts. Show how CI makes work smoother, safer, and more meaningful. Improvement should reduce pain, not increase pressure. So… how do you make Continuous Improvement actually stick? Here’s the formula, simple but powerful: Start small. Big transformations die; small wins multiply. Connect Lean to real problems, not abstract ideas. Build leadership habits. Behavior is stronger than language. Don't only teach the tools; teach the thinking. Tools complement the mindset, not the other way around. Celebrate progress. Build Momentum. Create systems that survive enthusiasm. The goal is consistency, not intensity. Lean doesn’t fail because the tools are weak. It fails because organizations overlook the human side, the cultural side, and the “why” behind the “how.” When Lean is viewed as a way of thinking rather than a transitory project, CI becomes natural. It becomes the way your organization works, learns, and grows. And that’s when Lean truly comes alive.  Continuous Improvement Essentials You Always Wanted to Know Continuous Improvement Essentials You Always Wanted to Know by renowned CI expert Amine Nefzi strengthens your understanding of how to make Lean live inside your business, how to adapt the principles to your culture, and how to see results that are both fast and sustainable. It enables you to see how CI is not just for factories; it is a way of thinking that can be applied in any environment where people and processes come together. This book is a part of Vibrant Publishers’ Self-Learning Management Series and is suitable for entrepreneurs, leaders, and professionals. Find out more about the book here: Link to the book: Continuous Improvement Essentials You Always Wanted to KnowAuthor: Amine NefziPress Release: Vibrant Publishers Launches Continuous Improvement Essentials on NetGalley: A Practical Guide to Meaningful Improvement

In the world of operational excellence, a fundamental shift is happening. While traditional OpEx focused primarily on eliminating waste and boosting efficiency, today's organizations need something more comprehensive. After two decades in process optimization, I've witnessed this evolution firsthand, from counting cycle times on factory floors to reimagining what excellence truly means in our modern, interconnected business landscape. The journey from OpEx 1.0 to OpEx 2.0 isn't just an upgrade; it's a complete paradigm shift that places effectiveness before efficiency and people before processes. The Evolution of Operational Excellence Traditional OpEx (1.0) focused on: Waste elimination – Removing non-value-adding activities from the customer's perspective Productivity metrics – Tracking cycle times, OEE, and throughput Cost reduction – Driving down production expenses through efficiency gains Process optimization – Improving individual workflows and operations Standard implementation – Rolling out methods like 5S across departments Modern OpEx (2.0) emphasizes: Effectiveness first – Asking "are we doing the right things?" before optimizing Cultural transformation – Preparing and supporting employees through continuous change Strategic alignment – Ensuring improvements support corporate vision and goals Customer-centric value – Understanding what customers truly need, not just want Integrated KPIs – Balancing process metrics with outcome measurements The Critical Role of Change Management One of the biggest lessons from my 100+ improvement projects is this: OpEx without proper change management is destined to fail. Here's why change management must be your foundation: Continuous improvement means continuous change – Employees need support throughout the journey. Resistance is natural – Even data-driven improvements face pushback without proper preparation. Culture beats strategy – The best OpEx tools fail without organizational buy-in. Success requires collaboration – Cross-functional alignment, especially with finance and accounting. Sustainability depends on people – Processes don't improve themselves; engaged employees do. Learn more about change management here: Managing change through Organizational Development  Understanding the KPI Revolution The shift from efficiency to effectiveness requires rethinking how we measure success: Efficiency KPIs tell you: How fast something gets done (cycle time) How much does it cost (production expenses) How well resources are utilized (OEE) Whether processes meet specifications Effectiveness in KPIs reveal: Whether you're creating real customer value If your products will remain relevant How well you're aligned with market needs Whether your improvements support strategic goals Real-world example: A company perfected its sheep-shearing equipment manufacturing process, achieving remarkable efficiency. But when a harmless injection was developed that temporarily stops sheep hair growth, all that efficiency became irrelevant. The lesson? Always ask effectiveness questions before efficiency questions. The OpEx 2.0 Implementation Framework Start with strategic questions: Why should we optimize this process? Does this align with our corporate strategy? Will this matter to customers in 5 years? Are we solving the right problem? Build your foundation: Establish change management protocols Align KPIs across departments Secure top management commitment Create visual management systems Develop employee empowerment programs Execute with purpose: Prioritize high-impact improvements Balance quick wins with long-term transformation Integrate digital tools (IoT, AI) strategically Measure both process and outcome metrics Celebrate progress while maintaining momentum Conclusion  OpEx 2.0 isn't about abandoning efficiency – it's about ensuring your efficiency efforts create genuine value. In today's rapidly changing business environment, being excellent at the wrong things is a recipe for obsolescence. The companies that thrive will be those that master both effectiveness and efficiency, creating cultures of continuous improvement that adapt to market realities. Book cover of Operational Excellence Essentials You Always Wanted to Know  Operational Excellence Essentials You Always Wanted to Know provides the complete roadmap for implementing modern OpEx strategies in your organization. This comprehensive guide covers: Proven change management models for sustainable transformation Framework for aligning KPIs with strategic objectives Integration of digital technologies into OpEx initiatives Real-world case studies from production, administration, and remote environments Practical toolboxes and implementation strategies Whether you're leading a manufacturing facility, managing a remote team, or driving administrative excellence, this book equips you with the mindset and methods to build operational excellence that lasts. This blog is written by Mike Hammann, author of Operational Excellence Essentials You Always Wanted to Know  About the Author: Mike Hammann brings over 20 years of operational excellence expertise, having led 100+ successful improvement projects across industries. His unique journey from mechanic to MBA-credentialed innovation expert provides practical insights for real-world OpEx implementation. Mike Hammann, author of Operational Excellence Essentials You Always Wanted to Know Learn more about the book here: Vibrant Publishers Announces A Game-Changing Operational Excellence Guide for Modern-Day Organizations Operational Excellence Essentials You Always Wanted to Know Also read:  Engage the Right People for Project Success EXPLORE YOUR CAREER OPTIONS IN OPERATIONS AND SUPPLY CHAINAgile Way of Working

If you’ve worked in a so-called “Agile” organization, you’ve probably felt this: standups every morning, JIRA boards everywhere, lots of talk about sprints, yet projects feel slow, stressful, or stuck. In this blog, we’ll unpack 7 common Agile myths that silently block real transformation—and how you and your team can start to bust them. Many of these insights come from conversations and experiences that also shaped Agile Essentials You Always Wanted to Know (Agile Essentials), 2nd Edition,  where we go deeper into the practices behind each myth. Cover of Agile Essentials You Always Wanted To Know (2nd Edition) by Vibrant Publishers Myth 1: “Agile means no planning.” If you’ve ever heard “We’re Agile, so we don’t plan,” you’re hearing a myth in action. Agile challenges big upfront planning, not planning itself. In fact, effective Agile teams plan more often, just in smaller, smarter chunks. Why it’s harmful Teams skip proper requirement discussions Work goes straight into development with vague user stories, unclear scope, or missing acceptance criteria. This leads to rework, confusion, and frustration when the “finished” feature doesn’t match what users actually need. Stakeholders feel blind and lose trust Without a shared view of priorities, upcoming work, and expected outcomes, stakeholders feel left out. They see Agile as “chaotic” or “undisciplined,” and start pushing for heavy, traditional controls again. Teams confuse “responding to change” with “being reactive” Instead of adjusting plans based on learning, teams simply react to every new request. Work is constantly interrupted, priorities are unclear, and velocity becomes meaningless because nothing truly finishes. How to bust it: Agile loves planning—just differently. You plan iteratively and at multiple levels (product roadmap, release, sprint). Plans are lightweight and revisited frequently. Focus on: Clear backlog items with acceptance criteria Prioritization based on value and risk Regular replanning (backlog refinement, sprint planning, release planning) For a simple breakdown of Agile planning vs traditional planning, the chapter on Agile Planning in Agile Essentials You Always Wanted to Know (2nd Edition) is a great place to start. Myth 2: “Scrum is the only way to do Agile.” Many organizations equate Scrum with Agile, as if the two are interchangeable. The result? If Scrum “fails,” people conclude Agile doesn’t work, when in reality, they may just be using the wrong tool for the job. Why it’s harmful: Teams feel forced into Scrum even when the context doesn’t fit You’ll see teams with highly interrupt-driven work (such as support, operations, BAU tasks) trying to fit everything into two-week sprints. Work changes daily, priorities shift mid-sprint, and everyone feels like they’re “failing Scrum” instead of asking, “Is Scrum the right choice here?” Useful practices from Kanban, XP, or Scrumban are ignored When Scrum is treated as the only option, powerful techniques like limiting WIP (Work in Progress) from Kanban, or pair programming and refactoring from XP, never enter the conversation. Teams miss out on tools that could drastically improve flow, quality, and learning. Agile becomes “following Scrum ceremonies” instead of “delivering value” Standups, sprint planning, reviews, and retros become box-ticking exercises. Agile turns into “doing all the meetings” instead of “frequently delivering small slices of value and learning from feedback.” How to bust it: Treat Scrum as one powerful Agile framework, not the only one. Explore: Scrum for complex, iterative product work Kanban for flow-based work (support, ops, maintenance) Scrumban as a hybrid when you need both structure and flow Agile Essentials’ Scrum and Agile Methodologies sections, plus the Scrumban case study, help teams see when and how to mix frameworks intelligently. Myth 3: “Agile is just a faster waterfall.” Some teams keep the same mindset and processes, just compressing everything into sprints and calling it “Agile.” The ceremonies change, but the thinking doesn’t. Why it’s harmful: Little to no feedback until very late Even though the team is “iterating,” stakeholders only see something meaningful after multiple sprints. That delays real feedback, so if you’re building the wrong thing, you discover it when you’ve already spent a lot of time and budget. Same risks, just with more meetings Daily standups, sprint planning, and retrospectives become extra meetings on top of a traditional approach. Risk, delays, and overruns remain the same, but now the difference is that people are frustrated with “Agile” as well. How to bust it: Agile isn’t about “doing the same work faster”; it’s about working in smaller slices with early feedback. Shift from: “Deliver the whole thing at the end”  to “Deliver a small, valuable increment regularly” “Big upfront requirements” to “continuous discovery, learning, and adaptation” Concepts like cycle time, escaped defects, and TDD/ATDD (covered in the Agile Execution chapter) help make this shift measurable and real. Myth 4: “Agile doesn’t work in regulated, complex, or large environments.” You’ll often hear, “Our industry is too complex for Agile,” from teams in finance, healthcare, government, aerospace, or other heavily regulated domains. Why it’s harmful: Agile is dismissed before it’s understood Teams assume Agile means chaos, lack of documentation, or no controls, so they reject it outright instead of exploring how it can coexist with compliance and governance. Opportunities for incremental value are missed Work is planned and delivered in huge chunks to fit formal reviews, when in reality, many parts of the solution could be built, tested, and validated incrementally with stakeholders. How to bust it: Agile can work in regulated or complex environments—with the right tailoring: Use Agile for incremental delivery, but preserve required documentation and controls Combine Agile practices with governance (e.g., Agile Earned Value Management) Start small: one product, one project, or one pilot team Agile Essentials explains how Agile can coexist with governance, including a section on Agile Earned Value Management and practical Agile contracting. Myth 5: “Agile means no documentation.” “Working software over comprehensive documentation” is often misread as “No docs allowed.” Teams proudly say, “We’re Agile, we don’t write documentation,” and then struggle later when people change, systems break, or audits arrive. Why it’s harmful: Knowledge lives only in people’s minds When documentation is ignored, critical context stays with a few individuals, usually senior team members. If they move teams, leave the organization, or are simply on leave, everyone else is stuck guessing. Decisions get revisited, and teams waste time rediscovering the same answers. Onboarding becomes painful New joiners spend weeks asking basic questions because there’s no single place to understand the product, architecture, or ways of working. This slows delivery, frustrates both the new hire and the team, and increases dependency on “tribal knowledge.” Compliance and audit become nightmares In regulated or enterprise environments, the absence of traceable documentation—requirements, decisions, test evidence, risk logs—can block releases, create audit issues, or lead to last-minute documentation sprints that nobody enjoys and nobody trusts. How to bust it: Agile values useful documentation, not zero documentation. Ask: Who will use this document? What decision or action will it support? Is there a simpler artifact (e.g., a one-page overview, a diagram, a test case) that works? Tip: Keep documentation lean, current, and just enough to enable understanding, support, and compliance. Myth 6: “Agile is only for software teams.” Agile began in software, but it doesn’t have to end there. Anywhere you have changing priorities, uncertain requirements, and the need for fast feedback, Agile ways of working can help. Why it’s harmful: Business, marketing, and operations teams stay siloed When Agile is seen as “an IT thing,” non-technical teams keep using rigid plans and long cycles. This creates a gap between strategy and delivery; the business sets goals once a year, while product and tech iterate every few weeks. Organizations miss out on better ways of working Teams outside IT lose the chance to experiment, learn quickly, and adjust to market signals. Campaigns, policies, and processes get locked into long timelines, even when early feedback suggests a course correction. Cross-functional collaboration suffers If only development teams are “Agile,” the rest of the organization is often stuck in old patterns of handoffs and approvals. This slows down work, creates friction, and makes it harder to deliver end-to-end value to customers. How to bust it: Agile is about short feedback loops, adaptability, and value delivery, all of which apply beyond IT. For example: Marketing teams use Kanban for campaign flow HR teams iterate on policies and programs Operations teams visualize work and reduce bottlenecks When Agile is treated as a business capability rather than just a software framework, it becomes a shared language across departments. Myth 7: “Agile doesn’t work with remote or hybrid teams.” Many people still think Agile needs everyone in the same room, every day—whiteboards, sticky notes, and war-room energy. When teams go remote, they assume Agile is no longer possible or “less effective.” Why it’s harmful Organizations give up on Agile when they go remote Instead of adapting Agile practices, some teams quietly revert to long email chains, heavy documents, and status updates. Over time, delivery slows down and stakeholders lose confidence. Teams run “ceremonies” on video but lose collaboration and trust Standups, reviews, and retrospectives become calendar obligations rather than meaningful conversations. The rituals remain, but the shared understanding and energy that make Agile effective slowly disappear. Leaders think remote equals “less Agile” Some leaders assume that if people aren’t physically together, they can’t collaborate deeply, innovate, or move fast. This belief often leads to more control: extra reporting, constant check-ins, and micromanagement. Ironically, this reduces autonomy and ownership—the very things Agile teams need to thrive. How to bust it: Agile values can absolutely thrive in remote and hybrid teams—if you’re intentional about it: Use collaboration tools as virtual information radiators Make work visible: boards, WIP limits, clear ownership Invest in psychological safety, regular check-ins, and working agreements Use async communication by default and sync for alignment and connection The new Chapter 7 – Agile in Remote Teams in Agile Essentials You Always Wanted to Know (2nd Edition) is dedicated to this topic, with practices and a case study on asynchronous work. Bringing It All Together Rethink what Agile really means and help your teams work with more clarity, focus, and trust. Most Agile transformations don’t fail because “Agile doesn’t work.” They struggle because they’re built on half-understood concepts and persistent myths. Busting those myths means: Recognizing that Agile does involve planning, just differently Treating Scrum as one framework in a broader Agile toolbox Focusing on value, feedback, and learning over rituals Adapting Agile for regulated, complex, and remote contexts If you’d like a structured, self-learning guide that walks through Agile foundations, Scrum, planning, risk management, metrics, leadership, and remote teams—with chapter summaries, solved examples, quizzes, and case studies—you may find Agile Essentials You Always Wanted to Know (2nd Edition) a very practical companion on your Agile journey. It’s a helpful way to turn “we’re doing Agile” into “we’re thinking and working Agile”—and that’s where real transformation starts. Also read:10 Exciting Career Paths in Project Management & AgileWhy Stakeholder Engagement Differs from Stakeholder ManagementSix Essential Skills Every New Product Manager Must Master

One concern that often comes up in the ever-expanding world of technology is whether data analytics will be overtaken by artificial intelligence (AI). The merging of artificial intelligence and data analytics has created new opportunities for studying and using massive data. By offering deeper insights, predictive analytics, and automated decision-making processes, this combination holds the potential to completely transform several industries. Let's examine this complex relationship and what data analytics will look like in the AI era.   Data Analytics and AI Data analytics is the process of searching through information systems to find significant data. Artificial Intelligence has revolutionized this process, which was formerly laborious and manual. AI improves data analytics by processing and analyzing massive amounts of data quickly, which increases accuracy and efficiency. Machine learning (ML), a subfield of AI, is especially important for data analytics. With little assistance from humans, machine learning algorithms can recognize patterns in data, learn from them, and make judgments. This skill is essential to predictive analytics, which forecasts future trends and results by analyzing historical data. The development of AI in data analytics has been accelerated by the Big Data era. Older data analytics techniques are unable to keep up with the exponential rise of data coming from social media feeds, IoT (Internet of Things) devices, and other sources. In these settings, AI and ML flourish, sorting through intricate, unstructured data sets to produce insights that are impossible for people to find on their own. Enhanced Decision-Making Prescriptive Analytics, which offers suggestions and solutions, is provided by AI-driven analytics tools that go beyond basic data interpretation. This is a critical component in industries where data drives strategic decision-making, such as marketing, finance, and healthcare.   The Human Aspect of Analytics Even with AI's achievements, humans are still indispensable. AI fails in several domains; context, nuance understanding, and ethical considerations are frequently necessary for data interpretation. Despite their strength, AI systems are only as good as the data they are fed. Abnormal conclusions can result from biased or faulty data. For AI-generated analytics to be guided, interpreted, and judged, human oversight is necessary. Sensitive information is included in data analytics. Priority should be given to ethical issues like data security and privacy. This is an area where human intervention is critical, and AI systems must be designed to respect these concerns.   AI's Role in Data Analytics Future AI's significance in data analytics is growing as it develops further. With AI integration, data analytics appears to have a bright future ahead of it, enabling more sophisticated, effective, and precise analysis. AI development will improve predictive and prescriptive analytics skills, resulting in more precise forecasting and strategic planning for a variety of businesses. Real-Time Analytics AI makes it possible to process and analyze data in real-time, giving organizations instant insights and enabling them to respond quickly to changes in the market. AI-driven data analytics enables a higher level of personalization in the marketing and retail industries, enhancing consumer engagement and experiences.   Obstacles and Limitations However, there are difficulties in incorporating AI into data analytics. As AI systems handle data more intelligently, there is increasing worry about how to keep this data secure and private. Moreover, the issue of striking a balance between AI automation and human employment also exists. The workforce needs to be retrained and reskilled as AI takes on more analytical jobs.   Developing Responsible AI: A Case Study Finally, there is a strong need to have a responsible AI that is transparent, ethical, and fair. One of the best examples of responsible AI in action is Google's AI for Social Good initiative, which focuses on applying AI technologies in an ethical, transparent, and helpful way to address global concerns. This project demonstrates Google's dedication to bringing AI into daily life to solve important problems like healthcare and environmental preservation. Project Jigsaw is one of the main projects within this initiative, and its goal is to stop online abuse. To establish a safer online environment, this project uses artificial intelligence (AI) to detect and filter toxic language on the internet and discriminate between harmful and neutral information. This AI model's unique ability to understand linguistic quirks guarantees impartial and accurate screening. The application of AI to wildlife conservation (Wildlife Insights) is another important undertaking. Here, Google's AI recognizes and classifies animal species by analyzing vast amounts of data from video traps in wildlife reserves. This highlights the potential of AI in environmental protection by supporting biodiversity research and anti-poaching initiatives. Furthermore, Google's AI development places a high priority on data security and privacy. The organization complies with international data privacy laws and uses strong security measures to safeguard sensitive and personal information. To sum up, Google's AI for Social Good project offers a blueprint for ethical AI research and use. By placing a high value on ethical standards, transparency, fairness, data privacy, and positive social effects, Google demonstrates how AI can be a powerful force for good that improves both the community and individual well-being. This case study highlights how AI may greatly help society while respecting moral and ethical standards, and it serves as an example for other AI developers.   In Summary Data Analytics Essentials is a stepping-stone towards building a career as a data analyst. In a nutshell, while AI greatly improves data analytics, it is not about to take over soon and harm society. In order to provide context, exercise ethical supervision, and make strategic decisions, the human element is still essential. The future of data analytics is collaborative methods that combine human insight and judgment with AI's speed and efficiency. The goal should be to maximize the benefits of both AI and data analytics as we move through this fascinating era, laying the groundwork for a future that is both ethically and data driven. Vibrant’s new book Data Analytics Essentials You Always Wanted To Know is specially designed to serve as a stepping-stone for the future generation of data analysts. It can be used by professionals, career-switchers as well as students to build a strong foundation in data analytics. This book is a part of Vibrant Publishers’ Self-Learning Management Series. Dr. Bianca Szasz, author of Data Analytics Essentials You Always Wanted To Know This blog is written by Dr. Bianca Szasz, author of the book, ‘Data Analytics Essentials You Always Wanted To Know’ by Vibrant Publishers. Also read: 3 Unexpected Applications of Big Data Analytics What Role does Data Analytics play in Decision-Making? Introduction to Data Structures 

In this fast-moving and technologically advancing world, companies need to continuously create new products/services to meet and exceed the expectations of their customers. A product manager plays a crucial role here. What does a Product Manager do? To ensure the product meets and exceeds customer expectations and the business remains competitive, a product manager is expected to deeply understand the industry and customer preferences and then come up with a strategy to solve customer problems in a differentiated way.A product manager develops a strategy and vision for a product/service, liaises with teams from other departments to achieve the vision, and defines the product’s roadmap, strategy, and features to meet the end-users’ requirements and needs. As a matter of fact, a product manager handles all the processes required for conceptualizing, developing, marketing, and maintaining the lifecycle of a product/service. What are the important skills every product manager should have? To rise to the top 10 percent of the crowd in product management, you must exhibit, or be willing to develop, the following six skills over time.  Six Must Have Skills for Product Managers Skill 1: A knack for problem-solving The primary reason companies make a new product or refine an existing one is to find a solution to the problem their customers are confronting. As a product manager, you must demonstrate that you have a knack for problem-solving. One of your duties is to define the use of your product and match that with your customer personas to be sure you are targeting the right consumers. More importantly, you should be able to come up with real solutions to the problems that customers need help with. In some circumstances, it may require adding new features to the existing product so as to enhance its performance or create an entirely new product. Good problem-solving skills will help you understand your customer problems, create products that will help solve them, and make strategic decisions for the course of action you need to take to develop and launch such a product.  Skill 2: A general understanding of the product design and development It is imperative that you familiarize yourself with the product design and development processes. This doesn’t mean that you are required to study product design at the university before you can become a product manager, but you will certainly benefit from some rudimentary knowledge about product research, solution ideation, market research, competition research, product development, launch, and marketing. You may need to learn more about these processes throughout your career, but it pays to have an idea of how they work.  Skill 3: Business acumen and strategic thinking Having an MBA can be of advantage in developing your business and strategic thinking, but it is not a compulsory prerequisite for becoming a product manager. At the barest minimum, you must show that you fully understand the benefits of creating a new product or improving the existing ones to your organization. You want to ensure that your organization’s goals or visions are in alignment with the product(s) you are managing. In case of strategic thinking, you must be able to come up with great ideas or suggestions aimed at advancing the objectives of your organization, organize meetings, and hold sensible discussions about the opportunities your organization should take advantage of. You should be able to identify the right stakeholders that can be included in managing a product lifecycle and outline the most appropriate procedures for designing, developing, launching, and marketing the product.   Skill 4:The ability to analyze and interpret data A lot of data is generated in the course of managing a product lifecycle. Hence, it is your responsibility to properly analyze the data and interpret it in a simple, logical, and understandable way so that everyone can grasp the outcome of your research and work. If you are a tech product manager, there is a possibility that some of the people you will be working with might be non-technical, and it becomes your duty to simplify everything for them. Most executives cannot interpret data. As a product manager, it is your job to make sure that they understand everything.  Skill 5: Excellent interpersonal skills Product management is a team-based field which indicates that you will be required to work with many professionals from various departments. As a product manager, you will be liaising with members of sales, marketing, legal, engineering, manufacturing, HR, procurement, distribution teams, and some external stakeholders. So, you must exhibit great ability to manage interpersonal relationships. You should also be able to communicate your ideas clearly to others and display a nature of resiliency and compromise. Most of the time, to get your job done, you will be required to negotiate with others and seek some consensus. You need those people’s support to be able to successfully carry out your duty as a product manager. Skill 6: Customer empathy Last but not least is customer empathy. In fact, it is the most important attribute every product manager should embody. Being sympathetic with your organization’s customers means that you will carefully consider their pain points, champion the development of products/services that will help them overcome their problems, and work with them to see that they derive maximum satisfaction from using those products/services. Product Management Essentials You Always Wanted to Know by Chintan Udeshi, published by Vibrant Publishers. Product Management Essentials: Your fundamental guide to mastering these essential skills All the skill sets expected of a product manager may seem overwhelming at first, but you can learn them gradually through experience, an open heart, and some assistance. A book like Product Management Essentials helps you navigate your Product Manager role seamlessly and build the skillset necessary to ace the role. The book provides practical advice and actionable steps, bringing together everything you need to know to grow into a confident and capable product manager. Product Management Essentials makes learning about product management engaging and approachable, helping you understand complex concepts easily and apply them in real-world situations. Ultimately, it transforms the path to becoming a professional product manager into a structured, enjoyable, and achievable experience. Chintan Udeshi, author of Product Management Essentials You Always Wanted to Know  This blog is written by Chintan Udeshi, author of Product Management Essentials You Always Wanted to Know.  To know more about the book, check out: Vibrant Publishers' New Book Equips Aspiring Product Managers With Must-Have Real-World Skills If this topic piqued your interest, you might also like the following:Top 4 Must-Have Skills to Become a Successful Project ManagerSix Steps To Help You Land Your First Product Management Job

Product management can be simply defined as the process of managing the lifecycle of a product/service. It encompasses planning, developing, launching, and managing the growth of the product/service. Product managers, in collaboration with other teams within an organization, are solely responsible for overseeing the entire process of product management, from the ideation of the products/services to their development and release in the market. Is product management a great career for me? Product management is considered one of the most promising careers in recent years. In addition to its high level of occupational satisfaction, it also comes with high remuneration. Moreover, Product Management is a career that you can switch into from any discipline or role. All you need is subject matter expertise and a few additional skills.  A step-by-step guide to begin your career in Product Management  Many beginners who aspire to become product managers or want to change careers and transition into product management often wonder what steps to take to land their first job. Here is a step-by-step guide for anyone whose ambition is to one day clinch the admirable position of a product manager: STEP 1: Build background knowledge: The very first step is to build your background knowledge. What kind of subject-matter expertise do you have? You'll be intrigued to know that product managers come from different disciplines. Some are engineers whereas some are computer scientists, biologists, educationists, lawyers, and even pharmacists and medical doctors. The course you studied at the university was meant to prepare you to become a subject matter expert. You can now use your background and subject matter expertise to get the role of a product manager in that field. So, if you have studied pharmacy, for example, you can become a product manager at a pharmaceutical company.  STEP 2: Develop your product management skillset: To become a successful product manager, you will need to possess a combination of both hard and soft skills. These include technical and research skills, communication, problem-solving, negotiating, critical thinking, and analytical skills, among others. Product management is a dynamic field, and you will be required to research and design product ideas, analyze data, organize meetings, and clearly communicate your findings with other team members. Without conceptual knowledge and these skill sets, it may be practically difficult to become top-notch.  You can check out various resources available to enhance your skills and upgrade your conceptual knowledge. Take a look at the section “Your ultimate product management resource” at the end of this blog.  STEP 3: Get certified as a product manager: Not many universities globally offer “product management” as a major course. So, whatever course you may have studied, you may still need to get certified as a product manager for value addition. In the United States, some universities, such as Berkeley and Stanford, have about 10- to 12-week product management certification courses. Other independent organizations offer product management certifications, such as Product School, AIPMM, Pragmatic Institute, etc. If you are not in the USA, it is also possible to get certified by your local universities/institutes that offer product management certification courses. STEP 4: Build your product management portfolio: It is time to build your product management portfolio, which is a file that contains relevant examples of work you will be doing if you are hired as a product manager. If you are already a product manager and want to seek an opportunity at another organization, all you need to do is compile the relevant product management projects you have worked on. However, if you are a new entrant into the profession, you may want to provide a hypothetical product management portfolio. This entails that you choose a case study, research it, analyze the outcomes of your research, and present your findings in a vivid and understandable manner. For instance, you may want to produce a hypothetical product management portfolio on how you will solve a technical problem of a tech product, say Apple, Inc.’s iPhone or Microsoft’s Windows. State the product, communicate your solutions to the identified problems, and explain in detail how this can be achieved. When applying for product management jobs, you must include your product management portfolio with your resume to get recruiters’ attention. STEP 5: Establish a solid network in the field: Having made the above-mentioned preparations, it is obvious that you are ready to clinch your first job as a product manager! Surprisingly enough, for every product manager job advertised, there are several other aspiring candidates like you who are anxious to get it. However, the only option that can get you to your dream job quickly is networking with product managers who are already in the field. You can join a local product management group that is open to all certified product managers. Otherwise, you can sign up for membership in one or two product management associations. These associations may offer paid and unpaid memberships. When you interact with professionals who know more about you as far as product management is concerned, you will be properly mentored and advised about how to go about getting your first product management job or transitioning to a better-paying one. One of the secrets in this field is that many of the current product managers were recommended to the positions by other professionals they had networked with. Sometimes, when there are vacancies in some organizations, professionals use their networks to find good and knowledgeable people to fill those jobs, which means they won’t advertise them at all.  STEP 6: Apply and get your first product management job: After applying to some product management job adverts or being recommended by one of your networks, you are on your way to getting your first product management job. When this happens, the clock starts ticking for you to develop yourself as an all-rounder product management professional. There are a lot of new things to learn on the job. If you are transferring from one department in your organization to the product management department, you can utilize your existing knowledge to perform brilliantly in your new position. Your ultimate product management resource To learn more about product management and how you can master it, check out my recent publication, Product Management Essentials You Always Wanted to Know! This book contains all the necessary, helpful information you will ever require as a beginner or an entry-level product manager. As a career-long guide, you will find all the practical steps you will need to master every area of product management in Product Management Essentials, equipping yourself with essential pieces of information that will eventually help you become a successful product management professional. Book cover of Product Management Essentials You Always Wanted to Know This blog has been written by Chintan Udeshi, the author of Product Management Essentials You Always Wanted to Know. Chintan Udeshi, author of Product Management Essentials You Always Wanted to Know Also ReadFour management skills you can ace while you are at homeTop Tips for Cracking Your First Job Interview3 Top Ways to Pick Books for Career Growth Learn more about the book Product Management Essentials here: Product Management Essentials You Always Wanted to KnowVibrant Publishers' New Book Equips Aspiring Product Managers With Must-Have Real-World Skills

Introduction ‘Project management’ and ‘Agile’ are buzzwords in corporate circles today. As organizations make the move towards working smart and not just working hard, the need to ensure that projects flow smoothly takes center stage. Today, project management terminology like ‘agile’ and ‘scrum’ are known to almost every corporate manager and employee. (At Vibrant, too, we recently had an interesting training session on project management, held by the author of the same book—Mr. Kalpesh Ashar). As the workplace evolves and transitions into a seamless mix of hybrid work, shorter workdays, and changing practices, project management is no longer a luxury—it’s a necessity. In this blog, we’ll look at what project management and Agile are and the numerous careers available in these fields. We’ll also take a look at Kalpesh Ashar’s exciting books, Project Management Essentials You Always Wanted To Know and Agile Essentials You Always Wanted To Know. Read on to get a taste of the disciplines that makes work easy, fun, and profitable beyond measure. In this blog:IntroductionWhat is Project Management?Explore Exciting Careers in Project ManagementAbout Project Management Essentials You Always Wanted To KnowWhat is Agile?Explore Dynamic Careers in AgileAbout Agile Essentials You Always Wanted To KnowEnd Note What is Project Management? According to the Project Management Institute (PMI), “Project management is the use of specific knowledge, skills, tools, and techniques" to deliver something of value to people.” The main aim of project management is to create and deliver something of value to the customer. However, traditional ways of managing projects often contained unnecessary wastages of time and effort and contained loopholes that prevented the project from being 100% productive in value. When modern project management came into the picture, it changed the way projects were traditionally looked at and handled. Now, with concepts like Agile, Scrum, and Six Sigma, project management is no longer about the end-to-end completion of a project but ensuring that shorter project cycles are completed efficiently. This results in deliverables that are put together efficiently and are completely ready at the time of final delivery. Now that we’ve seen what project management looks like in the modern world, let’s explore the careers that this field offers. Explore Exciting Careers in Project Management Project management professionals are in demand today because of the ever-changing requirements of the workplace and the need to accomplish work in a quick, efficient, and optimal manner. According to the Project Management Institute, employers will need to fill nearly 2.2 million new project-oriented roles each year through 2027. Project managers, project team leads, and resource managers, for example, are just a few of the options available for enthusiastic project management professionals.  All salary information comes from Glassdoor & salary.com as of 2024.  1. Project Manager Average annual salary: $143,867Most people who take up project management certifications do so with the intention of becoming project managers. Project managers are responsible for managing the entire life-cycle of a project, right from defining the goals of the project and setting deadlines to allocating resources and monitoring the execution of work at every stage. They guide the team through the stages of the project, ensuring that the work is completed as per the requirements. Project managers are in demand in several industries like construction, healthcare, I.T, and the government, for example. 2. Project Coordinator Average annual salary: $72,566This role is ideal for those just starting to work in this field. Project coordinators assist project managers and usually specialize in the role of project budgeting and funding. They are responsible for devising strategies for projects and handling the coordination among various departments to ensure that things move smoothly. This role requires resource coordination and monitoring of team members to keep the work progress on track. Project coordinators also handle the paperwork-related aspects of the project. 3. Project Management Consultant Average annual salary : $156,548 per yearThis role involves planning, advising, and supervising the team members to ensure that they achieve the desired goals of the project. A project management consultant seeks to improve the project management process, coming up with process improvements and conceptualizing solutions to roadblocks and challenges. They are responsible for implementing the plans for the projects and ensuring that the project is completed according to the plans, as well as identifying potential risks and coming up with ways to address these risks. They usually handle several projects at a single point in time. 4. Project Team Lead Average annual salary :  $99,026A project team lead, as the name suggests, guides and motivates the team members of the project. Project team leads create and structure teams and resolve interpersonal conflicts that may arise. They organize teams, conduct meetings, assign roles and responsibilities, and are tasked with ensuring that the vision for the project is accomplished. Although this role sounds similar to that of a project manager, the major difference is that project team leads are more focused on managing the team members of a project and not just the project as a whole, as in the case of a project manager. 5. Resource Manager Average annual salary : $84,298Resource managers work under project managers and are responsible for hiring and allocating human resources to work on projects. They monitor the workload of employees and work alongside the human resource department of an organization to provide training, compensation, and documentation of resources working on projects. They assess the capacity of a company to satisfy staffing requirements for projects and work on hiring and/or allocating new resources to projects when the need arises. 6. Business Analyst Average annual salary : $92,556A business analyst acts as a consultant between the project management team and the client. They make sure that the client’s requirements are being fulfilled and negotiate with the project manager to find the best possible solution for their client. Business analysts also provide guidelines for the project, conduct trade-off and risk analyses, and undertake a cost-benefit analysis to determine the scope of the project. About Project Management Essentials You Always Wanted To Know So, how do you go about getting a job in project management? Before you embark on a certification, it’s great to learn and understand all you can about the fundamental practices of this field. That’s where Project Management Essentials You Always Wanted To Know can help. It reflects the dynamic nature of projects in the 21st-century and acts as a guide to understanding how to efficiently manage the complexities of modern-day projects. This book takes the learner through the entire life-cycle of the project, explaining the foundational stages of project management, such as project initiation, project planning and budgeting, project execution, project monitoring and controlling, and project closure. The book explores the best practices in the field of project management and explains how budding project managers, team leaders, and supervisors can practically apply the concepts in this book to optimize their projects. What is Agile? Now, let’s take a look at an important sub-field of project management. Agile is an offshoot of project management, and yet is, in some respects, an entire discipline of its own. It has completely changed the way projects are handled in the modern-day workplace. It uses an iterative approach while planning and managing projects so that projects are completed faster and with lesser delays and wastage of time and effort. Agile focuses on an incremental approach to projects. Instead of viewing the project as an aggregate, sum total of work to be done and planned for, it looks at the ways the work can be broken down into smaller increments that are then completed in shorter cycles. This ensures that the resources working on the project have enough time for rework so that as each successive part of the project is completed, the deliverables can be sent out and that stage of the project shelved. Explore Dynamic Careers in Agile Today, the demand for Agile careers like Agile Coach and Scrum Master is increasing rapidly. As companies realize the benefits of managing projects based on agile frameworks, the scope of careers in this field is widening. Let’s look at some of the most popular Agile careers. All salary information comes from Glassdoor & salary.com as of 2024. Scrum Master Average annual salary: $108,869A scrum master acts as a facilitator who coaches the team members in the Scrum methodology and ensures that they follow the processes and procedures properly. The scrum master is not in charge of the project or the development team. He or she is responsible for improving the project process and making changes wherever necessary so that the project workflow is executed smoothly. Scrum Masters conduct daily stand-up meetings, assist the product owner with the product backlog, and remove roadblocks that are impeding the progress of individual members’ work. Agile Coach Average annual salary:  $108,869The responsibility of an Agile coach is to act as a mentor and teach team members the Agile process and its methodologies. Agile coaches train the team in the implementation of Agile processes and the management of specific stages of the product lifecycle. They train and assist product owners in writing user stories and mentor scrum masters. The role of an Agile coach is wider than that of a scrum master and addresses the larger dimensions of the project. Agile Process Consultant Average annual salary: $144,713Agile process consultants make use of their expertise to provide solutions to problems that arise in the operation of projects. They formulate action plans for projects and strategies to implement and resolve issues. They also provide constant feedback and ensure that the project is being executed without any obstacles. Agile process consultants are usually contracted by organizations for a certain period of time to help them meet project objectives. Product Owner Average annual salary: $145,500The product owner is the leader of the project and an important part of the scrum team. Product owners monitor the product development and set tangible goals for the team based on the vision they have for the project. They communicate with stakeholders and define set business objectives which have to be achieved by the team. They create a product roadmap and a strategic plan for the product, based on which the product backlog is decided.  Product owners are in charge of the entire project and are tasked with the responsibility of supervising scrum masters, agile coaches, and team members. About Agile Essentials You Always Wanted To Know If that made you curious about what Agile is, you can read Agile Essentials You Always Wanted To Know. This comprehensive guide offers an exciting look into how the concepts and methodologies of Agile work. With this book, project managers and team leaders will be equipped with the core concepts and terminology they need to execute Agile methodologies such as Scrum. The book provides rich insights into Agile planning and execution, concepts like Kanban board and User Stories, and the characteristics of an Agile team that can lead organizations to success. This book is where readers will find all their questions about Agile answered. Order Agile Essentials You Always Wanted To Know here and start applying the principles of Agile in your organization today. End Note Project Management today is not what it was 20, or 10, or even 5 years ago. Today, the scope of this field is changing and growing to include the demanding requirements of a modern-day workplace that functions on efficiency rather than on just the need to get things done. This field today is therefore attracting diverse talent that has the capacity and skills required to transform the way workplaces handle projects. Today, you cannot work in project management without being up-to-date on terminology and concepts like Agile and Scrum. If you want more information on project management certifications, you can check out the Project Management Institute (PMI) here. Read sample pages of Project Management Essentials here.Read sample pages of Agile Essentials here.

Introduction In the previous blogs of the Stakeholder Engagement series, we explored what the concept is and how it differs from stakeholder management. In this blog, we are going to look at the key skills that can help you become successful at onboarding and engaging a vast network of important stakeholders.       In the second episode of the Vibrant Publishers’ podcast, Empowering Success Through Stakeholder Engagement, Project Management Professional (PMP) Michelle Bartonico talks about the need to “map out” the network of stakeholders you’ll be dealing with. “Lean on your stakeholder register. Your stakeholder register is a document that you create when you’ve identified your list of stakeholders and stakeholder groups,” she advises. “Then, map out how salient they are to your project and what their influence is.” This is needed to balance the needs and demands of every stakeholder in the project process. Her book, Stakeholder Engagement Essentials You Always Wanted To Know, talks about how to get started on the process of identifying and mapping stakeholders, a core skill of project management.       Becoming a successful project manager does not only mean handling projects from start to finish and delivering products on schedule, but also maintaining interpersonal relations with the stakeholders involved in the project. “Honestly, the best advice I can give, which is something that has always worked for me, is exercising as much empathy as you possibly can,” she says. “Empathy means assuming a different role or a different viewpoint when you’re looking at the same project, and it’s really a way to practice coming out of yourself and understanding how might this other person be viewing something.” Approaching the project from a level of genuine curiosity, she feels, changes the way project resources respond and in turn their own work contribution to the project.       When conflict arises, as it invariably does, Michelle Bartonico says it’s time to consult the register again. The project manager needs to assess how influential a stakeholder is to the success of the project and figure out how to smooth over differences as diplomatically as possible. How the project manager responds in a situation of conflict will ultimately either escalate or de-escalate the conflict. Here, the project manager has to take the call whether to mediate in the conflict and bring it to an end, or let it spiral out of control.        Building genuine relationships is what stakeholder engagement is ultimately all about. It is about building trust and connections, not just for the sake of the project, but long-term relationships as well. Stakeholder engagement requires the project manager to be a people-person, skillfully handling a network of relationships and connections that will go a long way even after the project comes to an end as is a people-centric field.   Conclusion In this blog, we discussed the key skills needed to succeed as a project manager. Project managers need to have a mix of technical and interpersonal skills. In order to map out the complex connections between stakeholders involved in a project, project managers need to determine how important each stakeholder is and what they bring to the project. Listen to the full podcast on Spotify.com or check it out on YouTube. Read the first blog in this series here.