Occam's Razor
OCTOBER 14, 2014
'We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. In this type of an environment, I've frequently stressed the value of identifying targets for your key performance indicators. [See step four in the process for creating your Digital Marketing and Measurement Model.].
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
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Edwin Chen
OCTOBER 6, 2014
Imagine you're building a recommendation algorithm for your new online site. How do you measure its quality, to make sure that it's sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it's not clear that it's the best metric after all. Take Google's search engine. In many cases, improving the quality of search results will decrease CTR!
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.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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
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 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 17, 2014
Over the last five years, we have made significant progress in our journey, thanks to our incredible ecosystem of believers – the community of employees, customers, partners, investors, analysts, and technology advocates, who have been core to our success, every step of the way.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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
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.
Advertisement
Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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
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.
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.
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.
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.
Data Science and Beyond
SEPTEMBER 19, 2014
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.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
Data Science and Beyond
SEPTEMBER 7, 2014
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.
Data Science and Beyond
AUGUST 30, 2014
I’ve been a Bandcamp user for a few years now. I love the fact that they pay out a significant share of the revenue directly to the artists, unlike other services. In addition, despite the fact that fans may stream all the music for free and even easily rip it, almost $80M were paid out to artists through Bandcamp to date (including almost $3M in the last month) – serving as strong evidence that the traditional music industry’s fight against piracy is a waste of resources and time.
Data Science and Beyond
APRIL 5, 2014
Over the years, I’ve participated in a few Kaggle competitions and wrote a bit about my experiences. This page contains pointers to all my posts, and will be updated if/when I participate in more competitions.
Howard Dresner
FEBRUARY 11, 2014
Missed the boat. Didn’t gather enough steam. All that glitters isn’t gold. These pronouncements are often the verdict when technology evolves quickly and some functionalities or features don’t grab a strong enough hold quickly enough in the market. But applying that verdict to collaboration BI as well as social media and text analytics would be a mistake, even though they haven’t met expectations.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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.
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.
Wise Analytics
NOVEMBER 25, 2014
Sometimes people get stuck in the weeds when evaluating technology projects by focusing on key features and product capabilities and not on solving business challenges. Although gathering both business and technical requirements are essential to any successful technology project, projects should start from a business perspective and based on a business pain being experienced.
Wise Analytics
NOVEMBER 16, 2014
Just over a week ago I attended the Enterprise Data & BI Conference Europe in London. The conference focused on many different BI and data management related topics, many of which support mid-market goals to achieve greater visibility and better analytics. The takeaway most interesting to me was the fact that many SMBs are still struggling with their BI implementations.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
Expert insights. Personalized for you.
133 
Let's personalize your content