Piyanka Jain

AI on Pause?

Piyanka Jain

Pretty much all AI/ML customer and transactional models have been on pause for the last few months. As we speak, history is being written… Continue reading on Becoming Human: Artificial Intelligence Magazine ». analytics data-science machine-learning data artificial-intelligence

Key Questions to ask your data?—?2022 Analytics Agenda

Piyanka Jain

Key Questions to ask your data?—?2022 2022 Analytics Agenda [link] As a start-up, you might have higher aspirations than your peers to sustain and thrive. You might also have various questions relating to your revenue, operational success, and nuances that are impacting your business significantly. Your analytics resources may not be equipped to answer all of your questions. So how can you know what questions to ask of your data to set up yourself for success in 2022?

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2022 Readiness?—?Investing in Data Infrastructure

Piyanka Jain

2022 Readiness?—?Investing Investing in Data Infrastructure [link] In 2022, Big data is transforming businesses in unprecedented ways. Today the question is not just about scalability, it is whether or not you are enabling maximum scalability with the power of data. In the above video, Piyanka Jain talks about how and when to plan and invest in data infrastructure to drive growth. 2022 Readiness?—?Investing

Customer Segmentation for Growth Hacking

Piyanka Jain

Marketers often equate growth hacking with driving user acquisition. Continue reading on The Startup ». data-science machine-learning ai marketing analytics

Customer Preferences: How Community Can Deliver a Simplified Experience

Your customers want a simplified customer experience. Make sure you give it to them with community. Download the whitepaper to learn more!

How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Continue reading on Towards Data Science ». business data-science analytics data data-literacy

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AI on Pause?

Piyanka Jain

Pretty much all AI/ML customer and transactional models have been on pause for the last few months. As we speak, history is being written. Thus new models can’t be created either as these models rely on the fundamental principle that the past predicts future.

AI on Pause?

Piyanka Jain

Pretty much all AI/ML customer and transactional models have been on pause for the last few months. As we speak, history is being written. Thus new models can’t be created either as these models rely on the fundamental principle that the past predicts future.

Is programming a must for applying Data Science?

Piyanka Jain

Do you need to be able to code in R, Python, or any other programming language to put Data Science to work for you? The answer is NO! Continue reading on DataSeries ». analytics careers machine-learning business data-science

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Customer Segmentation for Growth Hacking

Piyanka Jain

Marketers often equate growth hacking with driving user acquisition. Continue reading on Medium ». data-science machine-learning ai marketing analytics

Knowing What Products Not to Build: A Case Study With NBC Universal

Knowing what not to build is just as important as what to build when it comes to product development. Learn how NBC Universal saved millions by knowing what not to build and created a more cohesive customer experience with Feedback Loop.

Customer Segmentation for Growth Hacking

Piyanka Jain

Customer Segmentation for Growth Hacking (Aryng?—?Unsplash?—?William Unsplash?—?William William Iven) Marketers often equate growth hacking with driving user acquisition. They invest all their effort and money to acquire maximum users with a minimum amount of spend. However, not all users are equal.

How Data Science Beat Human Mind?

Piyanka Jain

A lesson in behavioral economics will tell you that consumers don’t always practice what they preach. So what better reason is there for product marketers to make testing a key phase in their product lifecycle?

Feature Engineering?—?Hypothesis-driven vs. ML-driven

Piyanka Jain

Feature Engineering?—?Hypothesis-driven Hypothesis-driven vs. ML-driven I was talking to a CTO of a Fortune 100 bank this morning and we got talking about feature engineering in AI/ML models. With the advent of ML and AI, many believe that the statistical methods of feature engineering are redundant. For example, in the case of a supervised classification 0/1 problem, many use LASSO now to identify features of importance instead of using the correlation matrix (stat approach).

Glad you liked it

Piyanka Jain

Glad you liked it

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Omnichannel is Multichannel 2.0

Multichannel and omnichannel marketing are not the same. Many organizations are striving for omnichannel, but it can be a daunting journey—unless you have a map. Download your copy of the ultimate omnichannel guide today!

Feature Engineering?—?Hypothesis-driven vs. ML-driven

Piyanka Jain

Feature Engineering?—?Hypothesis-driven Hypothesis-driven vs. ML-driven I was talking to a CTO of a Fortune 100 bank this morning and we got talking about feature engineering in AI/ML models. With the advent of ML and AI, many believe that the statistical methods of feature engineering are redundant. For example, in the case of a supervised classification 0/1 problem, many use LASSO now to identify features of importance instead of using the correlation matrix (stat approach).

Essential Statistics for You and Me

Piyanka Jain

[link] A few days ago I met an old acquaintance of mine, who had been working in the marketing department of an IT giant. As we got to talking, I could see that he was a data skeptic?—?someone someone who did not believe in the power of data. Data Science is not for those who fall on the business side of the company, he said. Quite surprisingly, it is not just him who considers the myth that only techies and analysts need Data Science skills for their work. There are many with the same belief.

Top 5 Reasons For Data Science Project Failure

Piyanka Jain

Whether you are a seasoned data scientist or a business executive with a significant investment in analytics, chances are you’ve seen the… Continue reading on DataSeries ». data-science data-literacy

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BADIR?—?The Antidote to Low ROI from Data Science Projects

Piyanka Jain

BADIR?—?The The Antidote to Low ROI from Data Science Projects [link] Data Science, Machine Learning, Robotics, and AI?—?these these are some of the hottest keywords in the business right now. Trillions of dollars are being invested in these fields by organizations. One would think with such large investment, these organizations must be reaping a lot of value out of data science. However, recent reports published by Gartner and others tell a different tale.

Better Learning, Better Results: A Guide for Product and Project Leaders

Continuous improvement is the differentiator that can drive your team to the next level. Download our 4-step guide to collaborative learning and position your team for success.

3 Musts For Building Data Literacy

Piyanka Jain

A few months into his new role as Data Analytics leader, Alan and his team clearly saw the lack of data-driven thinking across the… Continue reading on Towards Data Science ». data-culture data-literacy corporate-culture big-data data-science

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What Google’s and SalesForce’s respective acquisition of Looker and Tableau Software means for…

Piyanka Jain

What Google’s and Salesforce’s respective acquisition of Looker and Tableau Software means for CIO’s The BI analytics tool space is consolidating to compete against Microsoft’s ensemble of Business Analytics(BA) products which promises to solve for the entire workflow?—?data data generation, data capture, data storage, data access stratified by persona and data visualization. Because Data is the new currency.

Essential Statistics for You and Me

Piyanka Jain

[link] A few days ago I met an old acquaintance of mine, who had been working in the marketing department of an IT giant. As we got to talking, I could see that he was a data skeptic?—?someone someone who did not believe in the power of data. Data Science is not for those who fall on the business side of the company, he said. Quite surprisingly, it is not just him who considers the myth that only techies and analysts need Data Science skills for their work. There are many with the same belief.

Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! link] I can say so because I have been on both sides of the table, having hired analytics consulting companies for big organizations and also providing analytics consulting services to top companies. I have seen projects worth hundreds of thousands of dollars being wasted, and I have seen them becoming successful too. In November 2017, Gartner released a report stating that 60% of big data projects fail.

A Strategic Guide to Community Gamification

Does creating engaged customers and impacting CS objectives sound interesting? Learn more about how gamification can help your customer success team in our free eBook.

Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! link] I can say so because I have been on both sides of the table, having hired analytics consulting companies for big organizations and also providing analytics consulting services to top companies. I have seen projects worth hundreds of thousands of dollars being wasted, and I have seen them becoming successful too. In November 2017, Gartner released a report stating that 60% of big data projects fail.

Are you a Data Science hero?—?aka BADIRist?

Piyanka Jain

Are you a Data Science hero?—?aka aka BADIRist? One of my colleagues is a big fan of detective stories and Sherlock Holmes. One day we started talking about Sherlock and what it would look like if Sherlock transitioned his career to become an analyst or data scientist? He wondered if Sherlock would be a BADIRist? I definitely think so. Sherlock used something similar to BADIR™ to solve crimes, though Sir Arthur Conan Doyle didn’t know of the term back then.

An Engineer’s Journey To Become A Data Scientist

Piyanka Jain

Unsplash Neha has an engineering and MBA background. She was looking to rejoin the workforce after several years on a personal sabbatical. Her last role had involved business process analysis, planning, and market research. It wasn’t something she wanted to go back to. When she started exploring options for a more satisfying career, analytics emerged as a strong contender. She had always enjoyed data and patterns. Aryng quickly popped up on her radar. She took Aryng’s aptitude assessment.

Data Literacy 101

Piyanka Jain

Joel is the newly-appointed CEO of a 100-year-old consumer company. He has been brought in with a vision to make the company customer-centric and tasked with leading digital transformations so that it is at par with the new information era. After taking the reins of the company, he spends his first six weeks getting the lay of the land, understanding its culture, products, and customers. Following his assessment, he develops a strategic plan to present before the board.

Product Research 201: The Intermediate Guide to De-Risking Decisions

Bring the voice of the customer into your decisions with product market research. This guide will help you find out how to clearly define your learning objective, create questions to support the objective, build screener questions to get the right audience, and more!

Top 5 FAQ On Mastering Data Science And Making Your Career Transition

Piyanka Jain

Recently I have been mentoring fresh graduates of the Masters in Business Analytics program from a historic Virginia school. Ironically… Continue reading on Towards Data Science ». data-science analytics education business careers

What 2 Men And a Runner Taught Me About Data Science and Fraud Modeling

Piyanka Jain

As I was wrapping up my work last evening, darkness started to loom outside. I decided to go for a short run on a neighboring track… Continue reading on Towards Data Science ». machine-learning data-science business

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