April, 2019

Why Data Driven Decision Making is Your Path To Business Success

datapine

We read about it everywhere. The term ‘big data’ alone has become something of a buzzword in recent times – and for good reason.

Tukey, Design Thinking, and Better Questions

Simply Statistics

Roughly once a year, I read John Tukey’s paper “The Future of Data Analysis” , originally published in 1962 in the Annals of Mathematical Statistics. I’ve been doing this for the past 17 years, each time hoping to really understand what it was he was talking about.

What Does Clustering in Data Mining Mean?

DataFloq

Data mining and clustering are closely interlinked. They both focus on the pattern recognition underlying a particular dataset. Mainly, it’s a joint effort of machine learning, pattern recognition and statistics. They help in discovering patterns in data.

Why a data scientist is not a data engineer

O'Reilly on Data

Or, why science and engineering are still different disciplines. "A A scientist can discover a new star, but he cannot make one. He would have to ask an engineer to do it for him.". Gordon Lindsay Glegg, The Design of Design (1969).

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.

Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019

Analytics Vidhya

Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop. The post Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019 appeared first on Analytics Vidhya.

More Trending

Microsoft Races to Catch Up in Analytics and BI Market

David Menninger's Analyst Perspectives

I am happy to offer some insights on Microsoft drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements.

Interview with Abigail Britton, Data Science Lead, Anheuser-Busch InBev

Corinium

Corinium’s data analytics events are designed to provide deep value to senior leaders and decision makers who are responsible for driving the strategic growth of data analytics within their organisations.

Top AI algorithms for Healthcare

DataFloq

The benefits of AI for healthcare have been extensively discussed in recent years up to the point of the possibility to replace human physicians with AI in the future.

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Specialized tools for machine learning development and model governance are becoming essential

O'Reilly on Data

Why companies are turning to specialized machine learning tools like MLflow. A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects.

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?"

8 Awesome Data Science Capstone Projects from Praxis Business School

Analytics Vidhya

Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only. The post 8 Awesome Data Science Capstone Projects from Praxis Business School appeared first on Analytics Vidhya.

How data analytics is evolving from analyzing the past to predicting the future

Phocas

To compete in today's competitive market place, it is critical that executives have access to an accurate and holistic view of their business. The key element to sifting through a massive amount of data to gain this level of transparency is a robust analytics solution.

Build Up Your Performance With KPI Scorecards – Examples & Templates

datapine

Monitoring the business performance and tracking relevant insights in today’s digital age has empowered managers and c-level executives to obtain an invaluable volume of data that increases productivity and decreases costs.

Data Scientists vs. Data Engineers

Corinium

Very often, there is a confusion on the difference between Data Scientists and Data Engineers. Most organizations use the terms interchangeably thus causing further confusion between the exact roles and responsibilities for each profile. CDAO Africa CDAO Africa Insights

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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.

How to Make Chatbots more Intelligent with Contextual Intelligence

DataFloq

Chatbots need to have contextual awareness if they have to adequately resolve a query. This contextual awareness leads to intelligence over time, by handling millions of queries over significant periods.

Why companies are in need of data lineage solutions

O'Reilly on Data

The O’Reilly Data Show Podcast: Neelesh Salian on data lineage, data governance, and evolving data platforms. In this episode of the Data Show , I spoke with Neelesh Salian , software engineer at Stitch Fix , a company that combines machine learning and human expertise to personalize shopping.

8 Useful R Packages for Data Science You Aren’t Using (But Should!)

Analytics Vidhya

Introduction I’m a big fan of R – it’s no secret. I have relied on it since my days of learning statistics back in. The post 8 Useful R Packages for Data Science You Aren’t Using (But Should!) appeared first on Analytics Vidhya. Data Science Data Visualization Machine Learning R data science data visualization machine learning R package

How to create a report on yesterday’s sales activity

Phocas

Waiting for traditional reports is often a long and frustrating process. Because these reports are usually generated by the IT department and can take time to be completed. Oftentimes, factors change, making it obsolete by the time the report is received.

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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.

Your Guide To Project Management Dashboards – Examples & Templates

datapine

Projects are one of the cornerstones of a successful business. Sector or industry aside, strategic initiatives focused on specific areas of the business are what helps drive an organization forward, growing, progressing, and evolving year after year.

Be a Data Avenger not a Carpenter

Corinium

Ok guys , heres my first blog and I hope it’s a good start. Happy to get your feedback whether be it positive or constructive, however my objective here is to share my ideas and communicate with you regardless of where you are located. The topic is about the analytical and data story telling.

Blockchain and AI: A Perfect Match?

DataFloq

Blockchain and Artificial Intelligence are two of the hottest technology trends right now. Even though the two technologies have highly different developing parties and applications, researchers have been discussing and exploring their combination [6]. PwC predicts that by 2030 AI will add up to $15.7

What data scientists and data engineers can do with current generation serverless technologies

O'Reilly on Data

The O’Reilly Data Show Podcast: Avner Braverman on what’s missing from serverless today and what users should expect in the near future.

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 Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python

Analytics Vidhya

Introduction I have always been fascinated with games. The seemingly infinite options available to perform an action under a tight timeline – it’s a. The post A Hands-On Introduction to Deep Q-Learning using OpenAI Gym in Python appeared first on Analytics Vidhya. Python Reinforcement Learning deep reinforcement learning python q-learning

How to keep favorite data views close at hand

Phocas

What data can't you live without? Actual sales versus budget, stock on hand, low margin against products? Phocas allows you to save a number of favourite data views so factual decision-making is easy. Product Job Role - Executive Job Role - Inventory/Operations Job Role - Marketing

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Dashboard Storytelling: From A Powerful To An Unforgettable Presentation

datapine

Plato famously quipped that “those who tell stories rule society.” This statement is as true today as it was in ancient Greece – perhaps even more so in modern times.

Snowflake: 6 Compelling Reasons to Modernize Your Data Warehouse

Corinium

Are you extracting maximum insights from your data? You know crude oil is more valuable when it’s processed. Data is the same. It’s much more valuable when you can use it to drive your business forward.

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.

How Big Data Is Transforming Insurance

DataFloq

Data analysts often use the term “big data” to describe data sets that are too large to store and analyze with traditional methods such as relational database management systems (RDBMS). Big data is greatly affecting the operations of many businesses, including those in the insurance sector.

Strata San Francisco, 2019: Opportunities and Risks

O'Reilly on Data

Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. The Strata Data Conference in San Francisco was filled with speakers talking about opportunity.

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How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!)

Analytics Vidhya

Introduction We are currently in the midst of a global fitness revolution. Most of the people I know are geeking out over the latest. The post How I Built Animated Plots in R to Analyze my Fitness Data (and you can too!) appeared first on Analytics Vidhya. Data Visualization R data science data visualization ggplot2 Interactive dashboards