Occam's Razor
JULY 15, 2014
'I'm excited about the power of a well created dashboard. It is a thing of beauty and a source of immense joy. Oh, and of course a critical element for any company's path to glory. Dashboards are every where, we will look at a lot of them in this post and they are all digital. So let's start with one that you might not typically bump into.
Darkhorse
SEPTEMBER 26, 2014
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
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Edwin Chen
AUGUST 14, 2014
Imagine you just started a job at a new company. You watched World War Z recently, so you're in a skeptical mood, and given that your last two startups failed from what you believe to be a lack of data, you're giving everything an extra critical eye. You start by thinking about the impact of the sales team. How much extra revenue are they generating for the company?
Ms SQL Girl
DECEMBER 3, 2014
I recently had an assignment to build a prototype for one of my clients, which involved in setting up KPIs. I then had a talk with a couple of people in my network to discuss how one could setup dynamic KPI thresholds. Narius Patel came up with a great idea of representing KPI status with image and using separate table to store the threshold values.
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Howard Dresner
JANUARY 20, 2014
I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. A great place for an insightful, real-world view of BI trends is my weekly #BIWisdom tweetchats with BI customers, vendors and consultants.
Data Science and Beyond
DECEMBER 28, 2014
In my summary of the Kaggle bulldozer price forecasting competition, I mentioned that part of my solution was based on stochastic gradient boosting. To reduce runtime, the number of boosting iterations was set by minimising the loss on the out-of-bag (OOB) samples, skipping trees where samples are in-bag. This approach was motivated by a bug in scikit-learn, where the OOB loss estimate was calculated on the in-bag samples, meaning that it always improved (and thus was useless for the purpose of
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
MLWhiz
NOVEMBER 30, 2014
In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. For this competition, we have provided 11 days worth of Avazu data to build and test prediction models. Can you find a strategy that beats standard classification algorithms?
Martha Bennett
NOVEMBER 6, 2014
Big data – the Holy Grail of business intelligence (BI)? Big data technologies certainly hold the promise of closing the gap between the data that’s available in your organization, and the ability to make that data available to those who need it, when they need it. But it’s about more than just technology: you also […].
Srividya Sridharan
FEBRUARY 25, 2014
Customer analytics takes center stage in the age of the customer for firms trying to understand and predict customer behavior. From descriptive to predictive methods, customer insights (CI) professionals can apply a wide array of analytics methods to behavioral customer data. CI professionals have a lot to consider when deciding on the right portfolio of […].
Nutanix
DECEMBER 24, 2014
I am honored to report that we received over 80 detailed Nutanix Technology Professionals (NTC) Program applications.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Occam's Razor
MAY 19, 2014
'There is unlimited amount of data thrown off our digital existences. (Or to use sexy term du jour , we have big data!). Our leaders (companies, agencies, teams) have to deal with an incredibly complex landscape, and they don't have enough time. The very natural outcomes is this ask of us: "Can you make it simple? What's the one thing I should care about?
Darkhorse
DECEMBER 22, 2014
We've done a few critique/redesigns of graphics on the site, but now its time to shine that sometimes unflattering light back on ourselves. While going through some materials I came across a graphic much like this one. The chart is clean, with axes lightened so the data is in the foreground, and the series direct labelled. Unfortunately it is not very effective at conveying much beyond "There is lots of pillaging.
Edwin Chen
AUGUST 13, 2014
I love studying users and products, and think data science can be extremely useful in guiding product/strategy as a whole. So I thought it would be fun to depart from the usual machine learning and engineering things I write about, and do a quick study of Airbnb. Think of this like business analysis, or strategy – from a data science point of view. (It's in slide deck form , of course, because that's how these things roll.).
Ms SQL Girl
DECEMBER 23, 2014
It is Christmas Eve here in Australia now! Wow! I’d like to say thank you to all my readers, my twitter followers and most of all #SQLFamily (whom quite a few of them are now becoming my absolutely dear friends). This year has been truly a blast! Thank you for being part of my SQL and Data/BI journey. All the best and here’s something that I put together (last minute) using Power Map.
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Howard Dresner
NOVEMBER 6, 2014
November 2, 2014 It happened so fast …. With one foot in the trap, it looked like he had utterly failed in his mission. … It all started nineteen years earlier when …. Everyone likes a good story. Especially marketing teams in today’s leading businesses. They know that effective storytelling enhances brand and knocks down barriers to sales. Similarly, it’s becoming a powerful way to distribute data and information in business intelligence initiatives.
Data Science and Beyond
DECEMBER 14, 2014
In previous posts about getting traction for my Bandcamp recommendations project (BCRecommender), I mentioned search engine optimisation (SEO) as one of the promising traction channels. Unfortunately, early efforts yielded negligible traffic – most new visitors came from referrals from blogs and Twitter. It turns out that the problem was not showing up for the SEO game: most of BCRecommender’s pages were blocked for crawling via robots.txt because I was worried that search engines (=Google
Wise Analytics
DECEMBER 19, 2014
As BI use matures within the organization, the way in which it is being applied is also changing. Organizations are looking for more strategic ways to deliver analytical insight and make sure that the right people have direct access to the information they need. Part of this includes the increasing adoption of embedding analytics within operations. At the same time, organizations are taking advantage of embedded BI to provide customer facing analytics and added services by leveraging the data th
MLWhiz
OCTOBER 1, 2014
This is a simple illustration of using Pattern Module to scrape web data using Python. We will be scraping the data from imdb for the top TV Series along with their ratings We will be using this link for this: [link] This URL gives a list of top Rated TV Series which have number of votes atleast 5000. The Thing to note in this URL is the “&start=” parameter where we can specify which review should the list begin with.
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Occam's Razor
MARCH 25, 2014
'In a world of infinite choice, the ability to pick critical few metrics to focus on is, well…, critical. It is the difference between plodding along, or winning big. But choosing what to focus on is extremely hard. You have to have a deeper understanding of the business, an expansive knowledge of what is possible (and not just inside Google/Adobe Analytics), and, this is so, so, so important, the ability to balance the now and the near future.
Occam's Razor
JUNE 11, 2014
'We have more data than God wants anyone to have. We have more talent deployed than was ever true in history. We have more money being pumped into our ecosystem than ever before. We have our senior leadership involved like never before. Yet the end result of all that is so far away from where it should be. We definitely stink less in most cases. But with all this data, talent, money and leadership support, we are not knocking the ball out of the park.
Occam's Razor
FEBRUARY 3, 2014
'YouTube is magnificent. YouTube is amazing. YouTube is… wait, let me quantify that. YouTube Marketing and Analytics Framework for Success. According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. And rather than just being content you watch, it is content you watch, share and shape. How cool is that!
Occam's Razor
AUGUST 11, 2014
'My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). More English (IABI, specifically) would lead to a smarter understanding of performance, and of course glory for data practitioners. Here's the post: Strategic & Tactical Dashboards: Best Practices, Examples. In the post Adil commented that he's observed that attribution modeling is missing from most web analytics dashboards.
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Occam's Razor
NOVEMBER 18, 2014
'Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presented insight drive action.
Occam's Razor
FEBRUARY 25, 2014
'There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. (More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.). We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%.
Occam's Razor
SEPTEMBER 15, 2014
'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.
Occam's Razor
JANUARY 7, 2014
'Every indicator we have is that companies are investing more in every facet of analytics. Tools. People. Consulting. Processes. Yet, it is unclear if that increase in investment is being followed by a commensurate increase in value delivered to the organization's bottom-line. A part of reason for this mis-match in value delivered is that there is a natural evolution that needs to occur.
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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?
Occam's Razor
APRIL 21, 2014
'Every once in a while I take a pause and answer your questions, your burning questions (!), about digital marketing and analytics. I'd requested you to submit questions on my Facebook or Google+ pages and am always delighted at the wide range of challenges you share. For some answers, What is Avinash's typical day like? Hour-by-hour report please. :)?
Data Science and Beyond
NOVEMBER 19, 2014
Messy data, buggy software, but all in all a good learning experience. Early last year, I had some free time on my hands, so I decided to participate in yet another Kaggle competition. Having never done any price forecasting work before, I thought it would be interesting to work on the Blue Book for Bulldozers competition, where the goal was to predict the sale price of auctioned bulldozers.
Data Science and Beyond
NOVEMBER 4, 2014
This is the fifth 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, the recommendation algorithms, and initial traction planning. In a previous post, I discussed my plans to apply the Bullseye framework from the Traction Book to BCRecommender, my Bandcamp recommendations project.
Data Science and Beyond
OCTOBER 6, 2014
A few months ago I participated in the Kaggle Greek Media Monitoring competition. The goal of the competition was doing multilabel classification of texts scanned from Greek print media. Despite not having much time due to travelling and other commitments, I managed to finish 6th (out of 120 teams). This post describes my approach to the problem. Data & evaluation The data consists of articles scanned from Greek print media in May-September 2013.
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