Thu.Mar 21, 2019

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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.

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Interview with Sriram Iyer @ CDAOI UK 2019

Corinium

Big Data 150
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Simplifying Big Data Projects with Data Virtualization

Data Virtualization

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific. The post Simplifying Big Data Projects with Data Virtualization appeared first on Data Virtualization and Modern Data Management.

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Optimizing SaaS Pricing Strategy Based On Data Analysis

Smart Data Collective

Trying to create the ultimate SaaS pricing strategy is tricky, to say the least. The point is to make yourself and your customers happy – you want your product to be properly aligned with value so you can earn revenues from it, while on the other side clients want something they deem “affordable.” If the price is too low, it may even deter the buyers as it may be associated with low quality.

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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Connected scatterplots: explained with an example

Daydreaming Numbers

A connected scatterplot is a scatterplot with a third ordered variable used to connect the encoding between X and Y positions. This third variable is often time. The post Connected scatterplots: explained with an example appeared first on Daydreaming Numbers.

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Intent Data 101: What B2Bs Need To Know About This Information

Smart Data Collective

Data is in the air businesses breathe and the water they drink; it is impossible to run a business successfully in 2019 without an ample amount of information about customers, competitors and more. However, too often, businesses make major mistakes when it comes to data collection. It’s possible, easy even, to collect too much data, and oftentimes businesses focus on gathering data that doesn’t do them any good while ignoring types of data that would make a major difference.

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What To Know About The Importance Of Analytics In Content Marketing

Smart Data Collective

Among the various factors that play a role in the content marketing decision-making process, analytics ranks near the top of the list. However, not many people understand the benefits of using various analytics tools for marketing a business. Two Experts Share their Perspective on the Benefits of Analytics in Marketing. Elissa Hudson has covered the importance of analytics in digital marketing in her post for HubSpot.

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What’s Business Process Modeling Got to Do with It? – Choosing A BPM Tool

erwin

With business process modeling (BPM) being a key component of data governance , choosing a BPM tool is part of a dilemma many businesses either have or will soon face. Historically, BPM didn’t necessarily have to be tied to an organization’s data governance initiative. However, data-driven business and the regulations that oversee it are becoming increasingly extensive, so the need to view data governance as a collective effort – in terms of personnel and the tools that make up the strategy – is