February, 2016

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Rock Analytics More: Obsess About Goals And Goal Values!

Occam's Razor

If you don't have goals, you are not doing digital analytics. You are doing i am wasting earth's precious oxygenalytics. Let's back up. Let me start with a story. We were brain storming about the next cluster of coolness for Analytics, the conversation quickly went to what Analysts need to look at on a daily, weekly and monthly basis.

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Data analytics: on the way to value-based care

ScienceSoft

Now that Meaningful Use transforms into the value-based care delivery model, providers face a major challenge of adapting to the changes in how care delivery is organized, measured and reimbursed. No gilding any pills here, it is the ‘Do or Die’ dilemma. Find out how the healthcare data analytics can solve this dilemma.

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Why you should stop worrying about deep learning and deepen your understanding of causality instead

Data Science and Beyond

Everywhere you go these days, you hear about deep learning’s impressive advancements. New deep learning libraries, tools, and products get announced on a regular basis, making the average data scientist feel like they’re missing out if they don’t hop on the deep learning bandwagon. However, as Kamil Bartocha put it in his post The Inconvenient Truth About Data Science, 95% of tasks do not require deep learning.

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LSOS experiments: how I learned to stop worrying and love the variability

The Unofficial Google Data Science Blog

by AMIR NAJMI In the previous post we looked at how large scale online services (LSOS) must contend with the high coefficient of variation (CV) of the observations of particular interest to them. In this post we explore why some standard statistical techniques to reduce variance are often ineffective in this “data-rich, information-poor” realm. Despite a very large number of experimental units, the experiments conducted by LSOS cannot presume statistical significance of all effects they deem pra

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Forrester Quick Take: SAP Acquires Roambi, Opens New Chapter In Mobile BI

Martha Bennett

Major conferences are often the occasion for key vendor announcements, and SAP didn’t disappoint. At the 2016 SAP Insider event on BI/Hana in Las Vegas, SAP announced the acquisition of independent mobile BI specialist Roambi’s solution portfolio and key assets. With this acquisition, SAP underlines its commitment not only to mobile and cloud but also […].

IT 40
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The Heart of IoT: Data Analytics

TIBCO

Every large-scale technological breakthrough is often accompanied by a data delivery breakthrough. This has been true in the past and we are living through another shift. Lets take a quick stroll through history to understand this evolution, to where we are today, and what the future holds. The first industrial revolution that occurred from 1760-1840 drove the emergence of steam power and the printing press, and for the first time in human history, there was an increase in both population and pe

IoT 40

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Take the NEXT step on the journey to invisible infrastructure at the second annual.NEXT Conference!

Nutanix

First Nutanix made storage and compute invisible. Then we made virtualization invisible. This year will be about the Enterprise Cloud.

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Take the NEXT step on the journey to invisible infrastructure at the second annual.NEXT Conference!

Nutanix

First Nutanix made storage and compute invisible. Then we made virtualization invisible. This year will be about the Enterprise Cloud.

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An interview with Steven Parrish, Chief Information Officer, Mater Health Services

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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An interview with Justin Mason, ITM Operations Manager, University of Canberra

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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An interview with Dave Thompson, Group Manager of IT, Sealord Group

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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An interview with Tim Pinnock, ICT Manager, Inaburra School

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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An interview with Ricardo Alberto, Chief Technology Officer, Commonwealth Treasury

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

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Why Data Analytics is Set to Slay Corporate Silos in 2016

TIBCO

Silos, not the tall towers used for grain storage, but the pesky divisions and hierarchies that are rampant across many organizations and largely resistant to destruction. They take many forms, and once established, prove to be tenacious and embedded; keeping people in their boxes, marginalized and isolated, cementing a ‘them and us’ culture, which remains the perennial gripe of corporate life.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.