Category Archives: Product Management

Differences: Data Analyst & Business Analyst

business analyst vs data analyst

Data analysts and business analysts are two very different positions in the world of business. Data analysts are responsible for examining data and manipulating it into a format that is easy to understand, while business analysts are responsible for taking this data and using it to make informed business decisions. This is not to say that one job is more important than the other – both positions are necessary for a well-functioning company. However, it is important to understand the distinctions between these two jobs so that you can better identify which role you might be interested in pursuing. Data Analysts vs Business Analysts Data analysts and business analysts are …

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Posted in Data, Data analytics, Product Management. Tagged with , .

AI Product Manager Interview Questions

interview questions for machine learning

AI has become such an integral part of our lives that it is important to hire professionals who can help create AI / machine learning products that will be used by many people. These AI product manager interview questions will give you insight into your candidate’s experience, skills, and industry knowledge so that you can get prepared in a better manner before appearing for your next interview as an AI product manager. Check out a detailed interview questions and answers with greater focus on machine learning topics. Before getting into the list of interview questions, lets understand what can be the job description of an AI product manager. How to …

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Posted in AI, Career Planning, Interview questions, Machine Learning, Product Management. Tagged with , , .

Insurance Machine Learning Use Cases

insurance machine learning use cases

As insurance companies face increasing competition and ever-changing customer demands, they are turning to machine learning for help. Machine learning / AI can be used in a variety of ways to improve insurance operations, from developing new products and services to improving customer experience. It would be helpful for product manager and data science architects to get a good understanding around some of the use cases which can be addressed / automated using machine learning / AI based solutions. In this blog post, we will explore some of the most common insurance machine learning / AI use cases. Stay tuned for future posts that will dive into each of these …

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Posted in AI, Data Science, Insurance, Machine Learning, Product Management. Tagged with , , , .

OKRs vs KPIs vs VGIs: Differences and Examples

VGI vs OKR vs KPI

The difference between OKRs , KPIs and VGIs is not always clear, but the concept is a great way to measure the progress towards achieving your business objectives. As business analysts, product managers, project or team leaders, it is important to understand the concepts of OKRs, VGIs & KPIs, and what’s the difference between OKR, VGIs and KPIs. In this blog post, we will discuss OKR vs VGI vs KPI and how they can be used for setting goals / objectives and measure different aspects of your team’s and organization’s performance in relation to achieving those goals. We’ll also go over real-world examples for OKRs, VGIs and KPIs so you can …

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Posted in Analytics, Data analytics, Product Management. Tagged with , , , .

How to Identify AI / Machine Learning Use Cases

identify ai and machine learning use cases

As AI and machine learning solutions and technologies continue to evolve, more and more businesses are looking for ways to incorporate them into their operations to realize a greater business impact. But with so many potential applications, it can be difficult to know where to start. In this blog post, we’ll outline some tips for identifying AI and machine learning use cases. We’ll also provide a few examples of how AI & machine learning can be used in business settings. So if you’re thinking about adding AI or machine learning to your toolkit, read on! This blog post will be appropriate for product managers, business analysts, data science architects, data …

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Posted in AI, Data analytics, Machine Learning, Product Management. Tagged with , , .

Book: First principles thinking for building winning products

Can innovation be taught and learned in a methodical manner? Can there be an innovation playbook using which, given a need to create a thing, product, or solve a complex problem, a set of well-defined steps be followed? How has Elon Musk been super successful time and again to create game-changing innovative products that created tremendous value for end-users and society at large? The answers to these questions can be found with a reasoning technique called first principles thinking. First principles thinking is defined as a method of reasoning or a thought process in which you try and understand the fundamental truth regarding different aspects of the existence of a …

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Posted in Books, Product Management, Reasoning. Tagged with , .

Business Analytics Team Structure: Roles/ Responsibilities

business analytics value chain

Business analytics is a business function that has been around for years, but it’s only recently gained traction as one of the most important business functions. Organizations are now realizing how business analytics can help them increase revenue and improve business operations. But before you bring on a business analytics team, you need to determine if your company needs full-time or part-time team members or both. It might seem logical to hire full-time staff members just because they’re in demand, but this isn’t always necessary. If your business operates without any external data sets and doesn’t have complex reporting and advanced analytics needs then it may be more cost-effective to …

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Posted in Data analytics, Data Science, Machine Learning, Product Management. Tagged with , , .

Leading & Lagging KPIs – Concepts & Examples

kpi concepts and examples leading lagging KPIs

Key performance indicators (KPIs) are important for any organization. They measure the success or failure of initiatives, projects and products with specific metrics and can be used to make informed decisions about future strategies. However, there is no one single definition of what a KPI is; instead, they come in many forms. KPIs are key metrics for product and project managers and are used to track the success of products and projects. This blog post will explore two types of KPIs – leading KPIs and lagging KPIs – as well as provide some examples. What are KPIs? KPIs are defined as a quantitative measure that indicates the performance of a …

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Posted in Product Management. Tagged with , .

Product Manager – Machine Learning Interview Questions

interview questions for machine learning

In this post, you will learn about some of the interview questions which can be asked in the AI / machine learning based product manager / business analyst job.  Some of the questions listed in this post can also prove to be useful for the interview for the job position of director  or vice president, product management. The interview questions can be categorized based on some of the following topics: Machine learning high level concepts Identifying a problem as machine learning problems Identifying business metrics vs value generation Feature engineering Working with data science team in model development lifecycle Monitoring model performance Model performance metrics presentation to key stakeholders Setting up …

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Posted in Interview questions, Machine Learning, Product Management. Tagged with , , .

Top 10 Data Science Skills for Product Managers

Top 10 data science skills for product managers

In this post, you will learn about some of the top data science skills / concepts which may be required for product managers / business analyst to have, in order to create useful machine learning based solutions. Here are some of the topics / concepts which need to be understood well by product managers / business analysts in order to tackle day-to-day challenges while working with data science / machine learning teams. Knowing these concepts will help product managers / business analyst acquire enough skills in order to solve machine learning based problems. Understanding the difference between AI, machine learning, data science, deep learning Which problems are machine learning problems? …

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Posted in AI, Data Science, Machine Learning, Product Management.