Sat.Aug 10, 2019 - Fri.Aug 16, 2019

Why Sports Analytics Matters

DataRobot

A few weeks ago, one of my favorite webcomics, Math with Bad Drawings , posted a comic in response to his other post, “ Why Baseball Statistics Matter”. I really enjoyed Ben Orlin’s explanation because it combines my passion for both baseball and data science.

Explaining Data Teams to HR

Juice Analytics

The importance of a good team to build data solutions can’t be underemphasized.

The Power of Prioritization in Data Management

Teradata

Find out how the early architectural decisions surrounding the Teradata Database are still making a critical contribution to performance today. Read more

Data Visualisation according to a Four-year-old

Peter James Thomas

Click to view a larger version in a new window. When I recently published the latest edition of The Data & Analytics Dictionary , I included an entry on Charts which briefly covered a number of the most frequently used ones.

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

Statistical Modelling vs Machine Learning

KDnuggets

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

More Trending

A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code

Analytics Vidhya

Overview What are loss functions? And how do they work in machine learning algorithms? Find out in this article Loss functions are actually at. The post A Detailed Guide to 7 Loss Functions for Machine Learning Algorithms with Python Code appeared first on Analytics Vidhya.

Five Ways AI is Changing Customer Service

Corinium

AI is transforming the customer service profession. Gartner predicts that 15% of all customer service interactions will be handled using AI by 2021. That means half of all enterprises could be spending more on AI than traditional mobile within two years. Artificial Intelligence

Increase data visibility into your business

Phocas

Business leaders want to make decisions faster and with more efficiency. Without visible data that is accessible and organized, it’s nearly impossible to make well-informed decisions.

Serverless Computing — a New Business’ Little Helper

DataFloq

Several years ago commercial development of applications was an expensive process that required capital investment in hardware and software before a single line of code was generated.

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac

Analytics Vidhya

Overview Facing issues trying to install Python on your Linux, Mac or Windows machine? This article is for you! Step-by-step walkthrough on how to. The post Everything You Ever Wanted to Know About Setting up Python on Windows, Linux and Mac appeared first on Analytics Vidhya.

What is the difference between Shared Services today and Shared Services in 2007?

Corinium

In 2007 I was asked to produce an event around shared services. I was awe struck at how many developments there were in the industry at that time. There was all this talk about significant cost benefits, enhanced service quality and manageable challenges. This was an exciting time.

Loeb Electric spots trends using data analytics

Phocas

As Loeb Electric grew and data inquiries increased, the company needed better technology. The company was ready to try a different approach to Excel and CRM for analysis and reporting.

DATAx: Data Science in the Real World

DataFloq

Argyle Group is pleased to announce an exciting reimagined program for DATAx New York.

Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches

Analytics Vidhya

Overview Hackathons are a wonderful opportunity to gauge your data science knowledge and compete to win lucrative prizes and job opportunities Here are the. The post Innoplexus Sentiment Analysis Hackathon: Top 3 Out-of-the-Box Winning Approaches appeared first on Analytics Vidhya.

Top 5 use cases for an open CRM platform

Corinium

Customer relationship management (CRM) is about knowing every critical piece of information about your customers. It’s absolutely necessary to have a CRM platform that can harness and manage data about your customers, no matter where it comes from.

Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data.

The School of Tomorrow Will Revolve Around AI

DataFloq

We live in exponential times, and merely having a digital strategy focused on continuous innovation is no longer enough to thrive in a constantly changing world.

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.

Historical Databases: Becoming a Thing of the Past?

David Menninger's Analyst Perspectives

Organizations’ use of data and information is evolving as the amount of data and the frequency with which that data is collected increase. Data now streams into organizations from myriad sources, among them social media feeds and internet-of-things devices.

Established BI solutions vs. in-house development

Phocas

Management teams are no longer questioning whether or not to dig into the data; rather it’s which is the best tool to use for their businesses: an established, dedicated data analytics solution or software developed in-house.

BI 139

How to Become More Marketable as a Data Scientist

KDnuggets

As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019. 2019 Aug Opinions Advice Andriy Burkov Carla Gentry Data Science Skills Data Scientist

Repair your Data Weakness and see your Profits Rise

DataFloq

Possibly the only thing everyone in business agrees on is that money talks. Whether you’re looking at turnover or profit, the end game is the same – to make the numbers better.

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.

Team TIBCO–SVB is Better Together

TIBCO

Here at TIBCO, we’re all about being better together. TIBCO knows that innovation does not happen in isolation—innovation is a team sport. When provided with the right tools, the right mindset, and the right teammates, the impact of innovation can change the game.

The Insights Beat: The Times They Are A-Changin’

Srividya Sridharan

Understanding Cancer using Machine Learning

KDnuggets

Use of Machine Learning (ML) in Medicine is becoming more and more important. One application example can be Cancer Detection and Analysis. 2019 Aug Tutorials, Overviews Cancer Detection Healthcare Machine Learning Medical

How AI Can Benefit and Protect Your Online Business

DataFloq

Artificial intelligence (AI) and machine learning (ML) were once the stuff of science fiction, closer to faster-than-light travel than to a functional and usable tool.

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

Labeling, transforming, and structuring training data sets for machine learning

O'Reilly on Data

The O’Reilly Data Show Podcast: Alex Ratner on how to build and manage training data with Snorkel.

The rise of AI in the digital era kicks into high gear

Smart Data Collective

We are no strangers to technological advancement. We are positively immersed and surrounded in it. It seems that no matter where one looks, there is the prominent force of technology and rapid digitalisation present in some way.

The Easy Way to Do Advanced Data Visualisation for Data Scientists

KDnuggets

Creating effective data visualisations is a core skill for data scientists. This tutorial will guide you through how to easily develop interactive visualisations using the Python library plotly. 2019 Aug Opinions D3.js Data Visualization Jupyter Plotly