2015

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See, Think, Do, Care Wining Combo: Content + Marketing + Measurement!

Occam's Razor

There have been tons and tons of implementations around the world of my wonderfully profitable See-Think-Do-Care business framework. This is immensely gratifying. Over the last year, I've also worked with many companies to drive new and rapid innovation in their digital strategies using the framework. In the process, I've learned a whole lot more, evolved my thinking and refined the nuances.

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The hardest parts of data science

Data Science and Beyond

Contrary to common belief, the hardest part of data science isn’t building an accurate model or obtaining good, clean data. It is much harder to define feasible problems and come up with reasonable ways of measuring solutions. This post discusses some examples of these issues and how they can be addressed. The not-so-hard parts Before discussing the hardest parts of data science, it’s worth quickly addressing the two main contenders: model fitting and data collection/cleaning.

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How to get a job at Google — as a data scientist

The Unofficial Google Data Science Blog

by SEAN GERRISH If you are a regular at this blog, thanks for reading. We will continue to bring you posts from the range of data science activities at Google. This post is different. It is for those who are interested enough in our activities to consider joining us. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare.

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Information Builders Honored for Exceptional Customer Service by the 2015 American Business Awards

Information Builders

Information Builders , a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions, today announced that it has been honored with four 2015 Stevie Awards for outstanding customer service by the American Business Awards.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Finding Data Quality

Jim Harris

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? In the spring of 2003, Pixar Animation Studios produced one of my all-time favorite Walt Disney Pictures— Finding Nemo. This blog post is an hommage to not only the film, but also to the critically important role into which data quality is cast within all of your enterprise information initiatives, including business intelligence, master data management, and data gover

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5 Signs You Need Better Cloud Integration

In(tegrate) the Clouds

I recently participated in an online web conference called Cloudcon 2015: Integration and Web APIs where I reviewed 5 signs you need better cloud integration: You’re Struggling with the Integrator’s Dilemma. You Have Unintegrated Integration: You Thought Cloud = API Utopia. You Still Have Swivel Chair Integration. You’re Considering Going Back to On-Prem Due to Diminishing SaaS Returns.

IT 56

More Trending

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Watch Out for Business Intelligence "Gotchas"

Howard Dresner

When it comes to commentary with valuable real-world insights, I can always count on the participants at my weekly #BIWisdom tweetchats on Fridays. I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” It took only a few minutes for them to toss out a lot more than five. As I commented then, there are a bunch of successful overachievers who participate in #BIWisdom tweetchats!

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How Data Visualization Can Help Governments Address Societal Challenges

TIBCO

Until recently, data analytics and data visualization tools have commonly been used by cities and government agencies to address societal challenges such as congestion, crime, and municipal services. But increasingly, government officials are applying these tools to help fight poverty and other forms of social inequality. For instance, at the 14 th Convening of the Project on Municipal Innovation–Advisory Group, which recently took place at the Harvard Kennedy School in Cambridge, MA, one of

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Shell Basics every Data Scientist Should know - Part II(AWK)

MLWhiz

Yesterday I got introduced to awk programming on the shell and is it cool. It lets you do stuff on the command line which you never imagined. As a matter of fact, it’s a whole data analytics software in itself when you think about it. You can do selections, groupby, mean, median, sum, duplication, append. You just ask. There is no limit actually.

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Azure Data Factory and Visual Studio

Ms SQL Girl

Great news ! Azure Data Factory is now generally available. AND, there are quite a number of tutorials to help you get started. One thing that I’d like to highlight is there is an Azure Data Factory extension in Visual Studio. Yes, that means you can edit your workflow locally. I first saw this at Wee Hyong Tok’s Introduction to Azure Data Factory webinar yesterday.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

'The 80/20 rule applies to our use of web analytics tools as well. Most of us use just a small amount of power our tools contain. This hurts my feelings! Ok, not so much hurts my feelings and more that I'm sad you are not taking advantage of all of the features at your disposal to drive smarter decisions by your leadership teams. Regardless of the tool you have, it is always prudent to take a fresh look at a familiar tool every once in a while and see what you've been missing.

Analytics 155
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The wonderful world of recommender systems

Data Science and Beyond

I recently gave a talk about recommender systems at the Data Science Sydney meetup (the slides are available here). This post roughly follows the outline of the talk, expanding on some of the key points in non-slide form (i.e., complete sentences and paragraphs!). The first few sections give a broad overview of the field and the common recommendation paradigms, while the final part is dedicated to debunking five common myths about recommender systems.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling. A/B testing is used widely in information technology companies to guide product development and improvements.

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Information Builders Celebrates 40 Years of Innovation at Summit 2015

Information Builders

Today at its 2015 Summit User Conference, Information Builders, a leader in business intelligence ( BI ) and analytics, information integrity, and integration solutions announced three new capabilities that build on the companys 40 years of innovation in the BI and analytics industry.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Bringing Shadow IT into the Light

Jim Harris

The few lingering doubts I may have had about the mainstreaming of cloud computing were eliminated yesterday when I saw a television commercial touting cloud-connected stuffed animals that use a mobile app and a public cloud service to allow parents and children to exchange brief audio messages. I couldn’t help but think, had such a thing been available when I was a child, that my older brother would have used it to send me scary messages from the shadows of my bedroom in the middle of the night

IT 53
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2016 Data Predictions from Gaurav Dhillon

In(tegrate) the Clouds

Gaurav Dhillon , the co-founder and CEO of SnapLogic , who also co-founded Informatica in the early ’90’s and was CEO of that company for 12 years, posted 4 data predictions and 1 market prediction this week on LinkedIn and the SnapLogic blog. His predictions are as follows: Data Eats the World and Integration Strategies Will Drive Digital Transformation.

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Pluck the Low-Hanging Fruit

Darkhorse

This is part two in a series of articles about effective analytics implementation. The first part “ The Five Faces of Analytics ” explores the roles necessary to develop a successful analytics team. So you’ve assembled a team of world beaters and they’re chomping at the bit. They’re ready to transform your organization into a data-driven decision-making juggernaut.

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Benchmarking for excellence in healthcare

ScienceSoft

What accounts for consistent and timely delivery of high quality healthcare services? Analytical software and BI solutions help to identify and track the best practices in healthcare management and leadership, thus helping spread the knowledge across the industry. For over 22 years Truven Health Analytics have been sieving and sifting through terabytes of data to crystallize the ways in which certain health systems excel in their work.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

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.

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Participate In Our Forrester/DMA Customer Loyalty Benchmark Research

Srividya Sridharan

This is a guest post by Samantha Ngo, Researcher on the Customer Insights team. Wonder how your loyalty strategies compare to others in the industry? As a refresh to our 2012 benchmarks, we invite you to take part in our 2015 Customer Loyalty Benchmark survey. If you manage or make decisions about your company's […].

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Shell Basics every Data Scientist Should know -Part I

MLWhiz

Shell Commands are powerful. And life would be like hell without shell is how I like to say it(And that is probably the reason that I dislike windows). Consider a case when you have a 6 GB pipe-delimited file sitting on your laptop and you want to find out the count of distinct values in one particular column. You can probably do this in more than one way.

IT 40
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Azure Data Factory and Visual Studio

Ms SQL Girl

Great news ! Azure Data Factory is now generally available. AND, there are quite a number of tutorials to help you get started. One thing that I’d like to highlight is there is an Azure Data Factory extension in Visual Studio. Yes, that means you can edit your workflow locally. I first saw this at Wee Hyong Tok’s Introduction to Azure Data Factory webinar yesterday.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

'The world of digital analytics seems to be insanely complicated. And, yes, some of it is. Third-party or first-party cookies anyone? And, are we tracking people, devices, web browsers or whoknowswhat? But it is a lot less complicated than you might believe. No. Really. A lot less complicated. I led a discussion the other day with a collection of people who were brand new to the space and some who were jaded long-term residents of Camp Web Analytics.

Analytics 150
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Learning to rank for personalised search (Yandex Search Personalisation – Kaggle Competition Summary – Part 2)

Data Science and Beyond

This is the second and last post summarising my team’s solution for the Yandex search personalisation Kaggle competition. See the first post for a summary of the dataset, evaluation approach, and some thoughts about search engine optimisation and privacy. This post discusses the algorithms and features we used. To quickly recap the first post, Yandex released a 16GB dataset of query & click logs.

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Replacing Sawzall — a case study in domain-specific language migration

The Unofficial Google Data Science Blog

by AARON BECKER In a previous post, we described how data scientists at Google used Sawzall to perform powerful, scalable analysis. However, over the last three years we’ve eliminated almost all our Sawzall code, and now the niche that Sawzall occupied in our software ecosystem is mostly filled by Go. In this post, we’ll describe Sawzall’s role in Google’s analysis ecosystem, explain some of the problems we encountered as Sawzall use increased which motivated our migration, and detail the techni

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City of Charlotte Selected As a 2015 PTI Solutions Award Winner

Information Builders

Information Builders , a leader in business intelligence (BI) and analytics, information integrity, and integration solutions, today announced that the Public Technology Institute (PTI) has named its customer, the City of Charlotte, a 2015 Solutions Award Winner in the IT and Telecommunications category.

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MSPs and Cloud-based Analytics

Jim Harris

A decade ago the phrase cloud-based analytics would have conjured images of meteorologists basing their weather forecasts on the analysis of data describing cloud formations and atmospheric movements. Today cloud-based analytics refers to the use of cloud computing to provide more business users with access to the data and analytical functionality needed to forecast business outcomes, calculate risks, predict market shifts, develop profitable promotions, and make more informed business decisions

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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A Few 2016 Technology Predictions

In(tegrate) the Clouds

I can’t help it. I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. — Merv Adrian (@merv) December 19, 2015. //platform.twitter.com/widgets.js. With that in mind, I recently participated in a SandHill.com Q&A on predictions and the year in review.

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Make the Grade

Darkhorse

Recently the Alberta government hosted Apps for Alberta - a competition using the province’s open data. Being an Alberta-based data visualization firm, we felt encouraged, perhaps even duty-bound, to enter. So we did. We managed to pull together a couple submissions, the first of which is a look at high school grades in the province. In an ideal world , you start by asking: What question am I helping to answer?

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The TCO of analytics in the cloud and the mid-market advantage

Wise Analytics

Last week I was part of a panel discussion with Robin Bloor of the Bloor Group and Marc Clark from Teradata to discuss the TCO of cloud analytics and the strategic benefits and challenges of cloud deployments. The reality is that more organizations are looking to the cloud due to broader storage, big data management, and perceptions of lower cost and easier to maintain solutions.

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The Customer Insights Research Team Is Hiring!

Srividya Sridharan

Gone are the days when we have to “sell” the idea of using customer and marketing data to drive better business decisions. The sheer scale and diversity of customer data will provide rich new sources of insight and allow firms to effectively engage with customers using enterprise marketing technologies. In fact, customer analytics solutions, one […].

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.