Occam's Razor

AUGUST 9, 2016

Being book smart is good. The outcome of book smart is rarely better for analytics practitioners then folks trying to learn how to fly an airplane from how-to books. Hence, I have been obsessed with encouraging you to get actual data to learn from. This is all the way from Aug 2009: Web Analytics Career Advice: Play In The Real World! Or a subsequent post about how to build a successful career: Web Analytics Career Guide: From Zero To Hero In Five Steps.

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Analytics Metrics Reporting Strategy 110

Darkhorse

AUGUST 19, 2016

We've explored improving our bar charts , data tables , and pie charts – all with the maxim: remove to improve. In this new installment of our Data Looks Better Naked series, we take on maps. More specifically, the choropleth map. There are libraries with entire floors devoted to the art and science of cartography so, clearly, this animation is general advice for one specific type of map.

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Reporting IT Visualization 73

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer. For instance, the well-known Mantel-Haenszel estimator cannot be implemented in a single MapReduce.

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Data Science Sales Optimization Cost-Benefit 66

Data Science and Beyond

AUGUST 4, 2016

Data science can be defined as either the intersection or union of software engineering and statistics. In recent years, the field seems to be gravitating towards the broader unifying definition, where everyone who touches data in some way can call themselves a data scientist. Hence, while many people whose job title is Data Scientist do very useful work, the title itself has become fairly useless as an indication of what the title holder actually does.

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Business Intelligence

In(tegrate) the Clouds

AUGUST 4, 2016

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space? There are three trends that I believe are fundamentally changing the world of data.

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IoT Internet of Things Data Lake Data Warehouse 45

Jenny Sussin

AUGUST 30, 2016

Over the last week or so, there have been a lot of news articles flying around about WhatsApp being open for businesses and businesses are losing their collective minds with excitement. Before we get into WHY this is the reaction, let me explain what the status quo was before this announcement. PRIOR TO this update to their terms of service , WhatsApp told businesses that they were not allowed to use their application for commercial purposes: advertising, commerce, customer service…This w

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Advertising Technology 40

Darkhorse

AUGUST 26, 2016

How many times has this happened to you: You get to the end of a gruelling analytics project. You’ve tortured the data until it confessed. You’ve made a silk purse out of a sow’s ear. You’ve found the fountain of youth. Against all odds, you solved it and know without a doubt that you have the right answer. You are thrilled. All that effort was worthwhile.

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Uncertainty Data Quality Modeling Visualization 40

Nutanix

AUGUST 29, 2016

IT organizations face significant challenges in providing applications on-demand, while ensuring high uptimes and responsiveness. Legacy IT infrastructure can no longer cater to evolving business needs, especially in cases where IT acts as a cost center rather than an enabler.

Technology 20

Technology Enterprise IT 20

Data Science and Beyond

AUGUST 21, 2016

You’re a hotshot manager. You love your dashboards and you keep your finger on the beating pulse of the business. You take pride in using data to drive your decisions rather than shooting from the hip like one of those old-school 1950s bosses. This is the 21st century, and data is king. You even hired a sexy statistician or data scientist, though you don’t really understand what they do.

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Dashboards Data-driven Management 52

Darkhorse

AUGUST 5, 2016

This is the third part of a series of articles about effective analytics implementation. The first part “ The Five Faces of Analytics ” explores the roles you need on your team. The second “ Pluck the Low-hanging Fruit ” helps you discover and prioritize projects. An analytics project is a house of cards. Each project is really three: a change management project stacked on top of a software development project stacked on top of a research project.

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Measurement Metrics Modeling Visualization 40

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Nutanix

AUGUST 29, 2016

Cisco® recently removed Nutanix from of its Solution Partner Program (SPP). Cisco® Partner Certification is done through this program. The termination surprisingly followed the successful conclusion of working with very cooperative, and enthusiastic Cisco® teams (Engineering, Product Management, Technical Marketing, Sales) to certify Nutanix’s software on UCS®.

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Sales Software Marketing Management 20

Nutanix

AUGUST 4, 2016

It’s that time of the year again! VMworld US 2016 is around the corner and there is nothing (other than our own.NEXT!) like the energy of over 20,000 people in Las Vegas talking technology. As always, Nutanix has a lot going on both on the show floor and off.

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Technology 20

Nutanix

AUGUST 22, 2016

Traditionally, the main datacenter has been the center of gravity for most business IT organizations.

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IT 20