March, 2019

Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5%

All in the Data: Negative Attitudes and the Four Horsemen of the Data Apocalypse

TDAN

From time to time, TDAN.com polishes off oldie but goodie content. A regular columnist required time to address personal issues, so we are substituting one of my past columns in its place. I hope you have as good a time reading it as I had writing it back in October of 2017. While I was […].

IT 56

What Are the Business Benefits of Data Mining?

DataFloq

In today’s landscape, there’s nothing more important than valuable information. Companies receive information in the form of digital data or content, more commonly in the shape of performance and user metrics.

Bias-Busting with Diversity in Data

Rocket-Powered Data Science

Diversity in data is one of the three defining characteristics of big data — high data variety — along with high data volume and high velocity.

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.

Trends in Data Management and Analytics

TDAN

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

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The Role of Data and Reason in being Data-Driven

Andrew White

It’s all the rage- we need to be ‘data driven’. Unfortunately important ideas and advice are often dumbed-down or simplified to singular messages for ease of consumption and this can lead to yet more problems. To be data driven is a great example. What is such a thing? Conceptually to be data driven sounds like a situation whereby a decision ought to have its roots founded in data. In this case, data really means all manner of information from raw data, analyses of that data (e.g.

The Role of AI & ML in Network Monitoring

DataFloq

Network monitoring deals with detecting the slow components present in the network like overloaded or frozen servers, failed switches, failing routers, or any other problematic devices.

Automating ethics

O'Reilly on Data

Machines will need to make ethical decisions, and we will be responsible for those decisions. We are surrounded by systems that make ethical decisions: systems approving loans, trading stocks, forwarding news articles, recommending jail sentences, and much more.

The Importance Of Financial Reporting And Analysis: Your Essential Guide

datapine

“Vision without action is merely a dream. Action without vision just passes the time. Vision with action can change the world.” – Joel A. Barker. Financial analysis and reporting are one of the bedrocks of modern business.

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?"

11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)

Analytics Vidhya

Introduction The rapid rise of data science as a professional field has lured in people from all backgrounds. Engineers, computer scientists, marketing and finance. The post 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) appeared first on Analytics Vidhya.

SAP Consolidates Its Analytics Efforts in The Cloud

David Menninger's Analyst Perspectives

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

IT 226

10 things R can do that might surprise you

Simply Statistics

Over the last few weeks I’ve had a couple of interactions with folks from the computer science world who were pretty disparaging of the R programming language. A lot of the critism focused on perceived limitations of R to statistical analysis. It’s true, R does have a hugely comprehensive list of analysis packages on CRAN , Bioconductor , Neuroconductor , and ROpenSci as well as great package management.

CCO Melbourne Sponsorship Material

Corinium

Zendesk

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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.

Lessons learned building natural language processing systems in health care

O'Reilly on Data

NLP systems in health care are hard—they require broad general and medical knowledge, must handle a large variety of inputs, and need to understand context. We’re in an exciting decade for natural language processing (NLP).

Take Complete Charge Of Customer Satisfaction Metrics – Customer Effort Score, NPS & Customer Satisfaction Score

datapine

“There’s a certain way of creating a service, hospitality, and experience that perpetuates people feeling like they matter.” ” – Julie Rice, entrepreneur, and investor. Today’s tech-savvy customers are driven by experiences.

Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals)

Analytics Vidhya

Introduction Do you often work with reports in Excel? Or regularly build dashboards and visualizations in Tableau or Power BI? If you answered yes. The post Infographic: 11 Steps to Transition into Data Science (for Reporting / MIS / BI Professionals) appeared first on Analytics Vidhya. Career Data Science Infographics Business Intelligence data science MIS reporting

Embedded Analytics Provide Meaningful Insights

David Menninger's Analyst Perspectives

Analytics and business intelligence (BI) play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally.

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.

Turn your customers into data advocates

Phocas

A key benefit of data analytics is the ability to understand the needs of your customers. High performing companies share data with customers to better understand how both can grow. Business Intelligence Basics Job Role - Sales Job Role - Executive

Snowflake : Executive's Guide to Alternative Data Analytics

Corinium

Investment managers are expected to spend more than $1.6 billion on alternative data sets in 2020. The sheer volume of data produced will necessitate a change in how businesses acquire, process, and use it.

Proposals for model vulnerability and security

O'Reilly on Data

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks.

Seize The Power Of Customer Data Management – Best Practices

datapine

“Get closer than ever to your customers. So close that you tell them what they need well before they realize it themselves.” – Steve Jobs.

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.

5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic)

Analytics Vidhya

Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic. The post 5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! with Illustrated Infographic) appeared first on Analytics Vidhya. Deep Learning Infographics Python caffe deep learning deep learning framework deeplearning4j keras python pytorch tensorflow

Five Small But Important Things to Observe in AI and Machine Learning

DataFloq

Regardless of how fascinating future of AI might be, there would always be some amount of scepticism coupled with the subject. Movies have conditioned us to believe the age of Robots might take over humans but people often ignore the upside of AI and Machine learning.

7 metrics every sales manager must know and measure

Phocas

Sales managers need to be savvy and strategic to get ahead. Here's the 7 metrics every sales manager must know and measure. Job Role - Sales

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Interview with Sriram Iyer @ CDAOI UK 2019

Corinium

Analytics Big Data

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.

Highlights from the Strata Data Conference in San Francisco 2019

O'Reilly on Data

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

Take Advantage Of Mobile Dashboards – Examples & Selected Designs

datapine

We live in a mobile world. According to the statistics portal Statista , there are currently around 4.78 billion mobile device users worldwide.

Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning

Analytics Vidhya

Introduction Q-learning became a household name in data science when DeepMind came up with an algorithm that reached superhuman levels on ATARI games. It’s. The post Nuts and Bolts of Reinforcement Learning: Introduction to Temporal Difference (TD) Learning appeared first on Analytics Vidhya. Python Reinforcement Learning python