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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How to influence with data and insights?

Piyanka Jain

Data can be a powerful tool if you know how to put it to work! Either they don’t buy into your methodology or your data?—?or If the project is a dashboard, make sure your stakeholders know how to interpret the data and then use it for analysis.

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Data Literacy 101

Piyanka Jain

One of these key focus areas is making the entire organization Data Literate. He believes developing Data Literacy across the organization would ultimately support the remaining three?—?customer-first To execute the plans of developing Data Literacy for his organization, Joel continues to focus on the power of data and decision-making. We develop a year-long partnership of infusing data in the DNA of the organization. Data-driven leadership ?—?The

How do you Build a Qualitative Data Lake?

Mind the Product

How do you build a data lake? And what’s the key to understanding qualitative data operations? The post How do you Build a Qualitative Data Lake? In fact, what even is one?

How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Learn how to blend various datasets together from top data providers in AWS Data Exchange like Safegraph, Facteus, and SimilarWeb with internal data to innovate and make smarter decisions at scale.

Essential KPIs for data-driven product managers

Mind the Product

Taking into consideration various performance indicators can be essential in providing managers with the necessary data to identify this. Read more » The post Essential KPIs for data-driven product managers appeared first on Mind the Product.

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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Product Manager Salary [2021 Data]

280 Group

This article details general Product Manager salary data based on salary information reported by Salary.com and Hired.com in January 2021. All salary data listed below was reported from Salary.com , based on U.S. Salary data aside, dollars alone won’t make for a fulfilling career.

Data scaling for startups by Crystal Widjaja

Mind the Product

In this #mtpcon Digital APAC keynote, Crystal Widjaja, Executive-In-Residence at Reforge, discusses the impact product people can have when utilising a sensible data strategy. Read more » The post Data scaling for startups by Crystal Widjaja appeared first on Mind the Product.

Data-Driven Product Management by Matt LeMay

Mind the Product

In this deep dive, Matt LeMay, author of Agile for Everybody and Product Management in Practice, explains what data means to product management and how it should be used to ensure that we’re building products designed to achieve meaningful outcomes.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. It includes on-demand video modules and a free assessment tool for prescriptive guidance on how to further improve your capabilities.

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? analytics careers machine-learning business data-scienceThe answer is NO! Continue reading on DataSeries ».

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Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! In November 2017, Gartner released a report stating that 60% of big data projects fail. A Fortune Knowledge Group survey revealed that most of the 85% of the failure that Gartner reported were likely a result of executives’ tendency to trust their gut rather than data. I am passionate about using data to build better products and create amazing customer experiences.

Data Science Consulting Is A SCAM!

Piyanka Jain

I run a Data Science Consulting company, and I say analytics consulting is a SCAM! In November 2017, Gartner released a report stating that 60% of big data projects fail. A Fortune Knowledge Group survey revealed that most of the 85% of the failure that Gartner reported were likely a result of executives’ tendency to trust their gut rather than data. I am passionate about using data to build better products and create amazing customer experiences.

Product Marketing Manager Salary [2021 Data]

280 Group

Salary data listed below was reported from Salary.com, Glassdoor.com, and ZipRecruiter.com, and is based on U.S. According to Glassdoor salary data, the base salary for a VP of Product Marketing ranges from $136,000 to $239,000, with a median salary of $198,891.

How to Scale a Data Literacy Program at Your Organization

Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health

Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in.

Developing a Data-Driven Culture at Dow Jones, By Helen Hewitt

Mind the Product

In this ProductTank London talk, Helen Hewitt, Global Head of Data Transformation at Dow Jones takes us through her personal journey with data and her work at Dow Jones in developing their data culture.

Cracking The Data Code – Mike Bugembe on The Product Experience

Mind the Product

Edwards Deming wrote, “In God we trust, all others must bring data.” – but we’re not always taught how best to use data. So you’re always better off collecting more data. How to use data properly. The ethics of data.

Make Better Product Decisions by Using Quantitative and Qualitative Data, by Brian Tran

Mind the Product

In this ProductTank San Francisco talk, Brian Tran, Director of Product Management at User Testing, shows us how we can become better product people by supercharging our data with human insights.

Tristan Handy on the changing face of the data stack

Mixpanel

In this interview, Tristan gives us his thoughts on the data stack of today and the hopefully improved capability and accessibility of tomorrow’s. Ask Tristan Handy what he thinks the future of the data stack will look like and what you’ll get in return is a history lesson.

How to Democratize Data Across Your Organization Using a Semantic Layer

Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale

Learn from data and analytics leaders at Verizon, Snowflake, EverQuote, and Affinity Federal Credit Union about how to foster a data literate culture while scaling data access and self-service analysis across your organization using a semantic layer.

What Is Data Management?

Amplitude

If someone told you that up to three-quarters of your company’s data was going unused, you might not believe them. But, as the data shows, it’s true. Data management also includes fixing mistakes in the data and designing a taxonomy to keep naming conventions consistent. .

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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How Big Data is Shaping the Future of Retail

The Product Coalition

Big Data services , powered by artificial intelligence (AI) and machine learning, help retailers stand out in a crowded, competitive marketplace. In which other ways could Big Data impact retail in the upcoming years? big-data big-data-retail future-of-retail big-data-in-retail

Product Manager Salary Data in 2020

280 Group

This article details product manager salary data for general product manager jobs (unspecified type). Benchmark data also shows that VPs and Directors of Product are strongest in five specific skill sets: Strategy, Business Skills, Competitive Analysis, Pricing, and End of Life.

How to Use a Semantic Layer to Scale Data & Analytics Across Your Organization

Download this guide for practical advice on using a semantic layer to improve data literacy and scale self-service analytics. The guide includes a checklist, an assessment, industry-specific use cases, and a data & analytics maturity model and roadmap.

How Data Lifecycle Management Applies to Product Analytics

Amplitude

Many organizations collect data, but not all effectively manage it throughout its lifecycle. And ad hoc data lifecycle management can cause problems for your product analytics. Well-organized data is essential for discovering actionable insights from product analytics.

Using Data to Build a Brand, by Abba Newberry

Mind the Product

In this ProductTank London talk, Abba Newberry, CMO at Habito, talks us through how to use data to build a brand. The post Using Data to Build a Brand, by Abba Newberry appeared first on Mind the Product.

Data-Informed Retrospectives

The Product Coalition

TL; DR: Data-Informed Retrospectives In their book Agile Retrospectives , Esther Derby and Diana Larsen popularized the idea that a Sprint Retrospect comprises five stages. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives.

A Modern Data Team for the Modern Data Stack

Indicative

There’s a rapid transition and expansion happening within the data ecosystem today. . Thanks to flexible pricing models and scalability, every company can now own and control their data. That’s given rise to the modern data ecosystem. What Is the Modern Data Stack?

How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. Don't miss King’s data expert (dare we say king?)

What is Data Lake?

Antwak Blog

What is Data Lake? A data lake is a repository of data stored in its natural or raw format, at any scale. So this central location allows you to store structured, semi-structured as well as unstructured data. This makes using data lake, cost efficient for the businesses.

Data-Driven Blunders and how to Avoid Them

Mind the Product

“We are a data-driven company”. And, while the logic behind a data-driven approach is undeniable, too often the expectations that come with it aren’t met. Let’s be clear, good tracking and hypotheses validation with data is essential for any product manager. The problem arises when we expect data to be the “secret sauce” that will immediately improve all aspects of our product, and that the answer to every question is always more (events, dashboards, tests).

The Data Literacy Continuum and the Sandwich Shop

Business of Software Conference

What is the data literacy continuum and why does it matter? Every organization is made up of users with different levels of data literacy and competence. Most organizations massively overestimate how data literate their people are. The Data Literacy Continuum © Logi Analytics.

Talking About Data Science by Jenessa Lancaster

Mind the Product

Jenessa Lancaster is a data scientist at Ocado Technology. In this ProductTank London talk, she discusses the importance of communicating data concepts to non-specialist audiences. We live in promising times for data science in business development. Many organisations are increasing investments to their data science and machine learning departments, acknowledging the valuable insights that these areas offer, particularly in terms of problem solving.

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Creating the "Right" Product Roadmap With Data

Speaker: Sunil Parekh, Head of Product Management, SimplyInsured

Data can be qualitative or quantitative, and comes from multiple sources: customer interviews, product usage & funnel analytics, company financial performance, and internal stakeholders. How do you use that data to create a product roadmap that is aligned with your organization’s business needs?

Ask an Expert: Instamojo’s Head of Analytics on data stack philosophy

Mixpanel

million micro- to medium-sized businesses in India, Ankur Sharma is in charge of all things datadata engineering, strategy, and core data analytics. In this interview, he spoke to us about what’s in Instamojo’s data stack and the philosophy behind it.

The UX of Data

Amplitude

Generating data is easy. Data is often not accessible unless you can write code. People in non-technical roles rely on data every day to make decisions, develop ideas or measure success. She goes to her colleague Enzo who is a Data Analyst to ask for help. Data is hard.

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Protect your Business Data with Cybersecurity

The Product Coalition

Cyber-attacks are launched from one computer from another computer where the aim of cyber-attacks is either to disable the target computer to gain access to the target computer’s data and gain admin privileges to manipulate this data.

Predictive Tech and Data Ethics: Part 2 – It’s Time To Operationalise Data Ethics

Mind the Product

Following on from Predictive Tech and Data Ethics: Part 1 – the Pros and Cons our intention with this post is to help individual practitioners and business leaders better understand our rationale behind why data ethics matters and how it can be done better.

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Selling Data and Decisions to your Team

Speaker: Cait Porte, SVP Product and Customer Experience, Zmags

Gathering support for a product feature or enhancement is a critical skill for Product Managers. Talking to customers, working with key stakeholders in the business and convincing development that a feature is necessary can be a daunting task. Join Product Management expert Cait Porte as she covers how to sell your ideas internally by leveraging data to drive decision making.