September, 2014

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

'Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. Mobile devices (phones, tablets, wearables) are transforming how we behave, how we buy, how we consume content, and dare I say how we become happy or we become sad. You after all have all of the aforementioned devices, and it is likely that at some level you are looking at traffic to your company's digital existence.

Metrics 143
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Salvaging the Pie

Darkhorse

The poor, maligned 3D pie chart. He is so popular among the common folk, but put him next to his peers and his vacant stare betrays (not entirely unfounded) feelings of insecurity and inadequacy. Sometimes the only way to address such feelings is to let go of your inhibitions and do something unexpected. He has value hidden away, we're sure of it. And so, for the third installment in our Data Looks Better Naked series, we are recommending that the 3D pie do what the bar chart and table have done

IT 112
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Bandcamp recommendation and discovery algorithms

Data Science and Beyond

This is the third part of a series of posts on my Bandcamp recommendations (BCRecommender) project. Check out the first part for the general motivation behind this project and the second part for the system architecture. The main goal of the BCRecommender project is to help me find music I like. This post discusses the algorithmic approaches I took towards that goal.

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Governed data discovery – looking at the importance of managing data validity

Wise Analytics

The role of governed data discovery is becoming increasingly important as organizations manage more complex and diverse data that they want to gain insights from. Self-service BI access and broader data discovery capabilities means that BI is deployed to more users who leverage data in the way that best suits them and not according to pre-defined analytics.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Dictvectorizer for One Hot Encoding of Categorical Data

MLWhiz

THE PROBLEM: Recently I was working on the Criteo Advertising Competition on Kaggle. The competition was a classification problem which basically involved predicting the click through rates based on several features provided in the train data. Seeing the size of the data (11 GB Train), I felt that going with Vowpal Wabbit might be a better option. But after getting to an CV error of.47 on the Kaggle LB and being stuck there , I felt the need to go back to Scikit learn.

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Dresner's Point: Organizations Need to Eliminate Data Sheep in BI

Howard Dresner

Perhaps a tag with “some assembly required” should be attached to business intelligence analytics tools. We just released in July our Advanced and Predictive Analytics Market Study report in our Wisdom of Crowds series, and I wanted to explore the topic in more depth in one of my recent Friday #BIWisdom tweetchats. Our market survey found that awareness of the importance of BI analytics is high (90 percent), but adoption of analytics tools is in the early stages of deployment even though many of

More Trending

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Building a recommender system on a shoestring budget (or: BCRecommender part 2 – general system layout)

Data Science and Beyond

This is the second part of a series of posts on my BCRecommender – personalised Bandcamp recommendations project. Check out the first part for the general motivation behind this project. BCRecommender is a hobby project whose main goal is to help me find music I like on Bandcamp. Its secondary goal is to serve as a testing ground for ideas I have and things I’d like to explore.

Testing 52
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Learning pyspark – Installation – Part 1

MLWhiz

This is part one of a learning series of pyspark, which is a python binding to the spark program written in Scala. The installation is pretty simple. These steps were done on Mac OS Mavericks but should work for Linux too. Here are the steps for the installation: 1. Download the Binaries: Spark : [link] Scala : [link] Dont use Latest Version of Scala, Use Scala 2.10.x 2.

40
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Hadoop, Mapreduce and More – Part 1

MLWhiz

It has been some time since I was stalling learning Hadoop. Finally got some free time and realized that Hadoop may not be so difficult after all. What I understood finally is that Hadoop is basically comprised of 3 elements: A File System Map – Reduce Its many individual Components. Let’s go through each of them one by one. 1. Hadoop as a File System: One of the main things that Hadoop provides is cheap data storage.

IT 40
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Applying the Traction Book’s Bullseye framework to BCRecommender

Data Science and Beyond

This is the fourth part of a series of posts on my Bandcamp recommendations (BCRecommender) project. Check out previous posts on the general motivation behind this project, the system's architecture, and the recommendation algorithms. Having used BCRecommender to find music I like, I’m certain that other Bandcamp fans would like it too. It could probably be extended to attract a wider audience of music lovers, but for now, just getting feedback from Bandcamp fans would be enough.

IT 40
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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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The importance of BI specific skill sets

Wise Analytics

BI implementations are becoming more commonplace as organizations realize they cannot overlook the management of and access to their data in order to facilitate better decision-making. What this means for many is the re-evaluation of resources, skill sets, and project planning to ensure that the proper resources exist to support BI and analytics development.

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Why are organizations still struggling with their data?

Wise Analytics

This is a question I’ve been asking myself for a while. The data infrastructure exists to support Big Data, operational data streams, data quality practices, and the list goes on. Best practices exist for organizations to follow to achieve a strong information management framework and tie data to business processes enabling decision makers the ability to take actions on the insights they’ve gleaned.

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Dresner's Point: Mobile BI on the Move

Howard Dresner

“If I’m at Starbucks doing business intelligence via WiFi with my laptop, is that Mobile BI? If so, if I do the same thing at work, what is that?” That question started the discussion at one of my recent Friday #BIWisdom tweetchats. When the tweetchat tribe tried to level set what this booming area of business intelligence really is, we found some differing opinions.

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Prism Element and Prism Central Walkthrough

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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Nutanix – High Availability and Data Protection

Nutanix

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

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Nutanix High Availability and Continuity – Impact on Ops

Nutanix

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

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Data-at-Rest Encryption Solutions: How It Works – Nutanix

Nutanix

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

IT 20
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Choice: vSphere Licensing on Nutanix

Nutanix

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

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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.

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The Consequence of Success – Competitive FUD

Nutanix

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

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Bringing “Value” back to your customers – and in “VAR”

Nutanix

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

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Mark Brunstad joins Nutanix

Nutanix

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Mark Brunstad joins Nutanix

Nutanix

20
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Mark Brunstad joins Nutanix

Nutanix

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