May, 2019

Designing Charts and Graphs: How to Choose the Right Data Visualization Types

datapine

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. But while doing so is easy, a great dashboard still requires a certain amount of strategic planning and design thinking.

Research quality data and research quality databases

Simply Statistics

When you are doing data science, you are doing research. You want to use data to answer a question, identify a new pattern, improve a current product, or come up with a new product.

Moving from reactive analytics to proactive analytics

Corinium

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

Statistics 101: Introduction to the Central Limit Theorem (with implementation in R)

Analytics Vidhya

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

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Top 5 Tips For Conducting Successful BI Projects With Examples & Templates

datapine

Five benefits of data analytics for your sales branches

Phocas

Your branches are the frontline of your business, leading the charge when it comes to customer interaction and building customer loyalty.

Sales 193

4th Industrial Revolution, What is it? And What Impact does it Actually have?

Corinium

Industry 4.0…. it is just a buzz word thrown about? What does it actually mean? And how does it have an impact? We went straight to the source and asked the founding father and driving force behind the Industry 4.0 workgroup- Henrik von Scheel. What exactly is the Fourth Industrial Revolution

IT 195

Applications of data science and machine learning in financial services

O'Reilly on Data

The O’Reilly Data Show Podcast: Jike Chong on the many exciting opportunities for data professionals in the U.S. and China. In this episode of the Data Show , I spoke with Jike Chong , chief data scientist at Acorns , a startup focused on building tools for micro-investing.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners

Analytics Vidhya

Introduction We have worked on plenty of drag-and-drop tools in our business intelligence (BI) journey. But none has come close to matching the Swiss. The post 10 Useful Data Analysis Expressions (DAX) Functions for Power BI Beginners appeared first on Analytics Vidhya.

A Guide to a Career In Big Data

DataFloq

Some might feel that data science is intimidating. This is particularly the case when someone is just getting started. They might wonder what tool should they start learning such as R or maybe Python. They may feel unsure about what techniques they should put the majority of their focus on.

Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7

The Internet of Things: Real-Time Data and Analytics Enable Business Innovation

David Menninger's Analyst Perspectives

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Snowflake: 3 Benefits of a Self-Adapting Data Warehouse

Corinium

With the rise of new data streams, the ability to access more data and derive insights from it more quickly is critical. By 2023, worldwide revenue for big data solutions will reach $260 billion.*

Sustaining machine learning in the enterprise

O'Reilly on Data

Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Continue reading Sustaining machine learning in the enterprise

Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos

Analytics Vidhya

This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can. The post Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos appeared first on Analytics Vidhya. Machine Learning Python classification data collection Data Extraction machine learning python random forest scraping selenium web scraping

IoT in e-Commerce: How a Connected World Can Change Trade

DataFloq

The Internet of Things is one of the hottest topics today that penetrates all spheres of life from healthcare to commerce.

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

Introduction To The Basic Business Intelligence Concepts

datapine

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author.

How to compare multiple data streams: actual sales v budget v stretch budget

Phocas

Comparison of sales information against targets has many benefits such as allowing individuals to be more strategic, more motivated and more in control of their actions.

Sales 183

Exclusive Q&A with Phillipa Cameron, CCO of Stuff NZ

Corinium

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Real-time entity resolution made accessible

O'Reilly on Data

The O’Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. In this episode of the Data Show , I spoke with Jeff Jonas , CEO, founder and chief scientist of Senzing , a startup focused on making real-time entity resolution technologies broadly accessible.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science

Analytics Vidhya

Introduction Data scientists spend close to 70% (if not more) of their time cleaning, massaging and preparing data. That’s no secret – multiple surveys. The post A Beginner’s Guide to Tidyverse – The Most Powerful Collection of R Packages for Data Science appeared first on Analytics Vidhya. Data Science Data Visualization R data cleaning data preprocessing data science data visualization ggplot r packages tidy tidyverse

Machine Learning Will Be the Next Big Thing in Supply Chain Management

DataFloq

Supply chain management, or SCM, is becoming a more critical job every year, as more consumers turn to e-commerce and warehouses and distribution centers grow. Technology is catching up to the exponential expansion of this industry, but it's been a slow process.

How Restaurant Analytics Can Make Your Business More Profitable

datapine

The restaurant industry is one of the most competitive sectors on the planet. Not only do we as a species need to eat and drink to survive; communal dining is an experience that people have cherished for centuries.

Big Data for Business: A Requirement for Today’s Business Analytics

David Menninger's Analyst Perspectives

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Facebook Insight - Connecting your Data Science & Marketing Teams

Corinium

Over it's lifetime Facebook has become possibly the biggest B2C/B2B marketing channel available to marketers. The platform is a mass generator of big customer data that holds immense potential value for making smarter marketing decisions.

Highlights from the Strata Data Conference in London 2019

O'Reilly on Data

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. Below you'll find links to highlights from the event. Making the future.

Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Analytics Vidhya

Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what. The post Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify appeared first on Analytics Vidhya. Machine Learning Python machine learning python web scraping