Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? Insights. As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. That understanding leads to insights about why the performance occurred, which leads to so what we should do. Do you see how far away a Reporting Squirrel's job is from that of an Analysis Ninja?

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Data Science and Beyond

NOVEMBER 22, 2015

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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The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

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

JUNE 26, 2015

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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Business Intelligence

Jim Harris

DECEMBER 24, 2015

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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In(tegrate) the Clouds

JULY 16, 2015

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.

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Howard Dresner

JANUARY 4, 2015

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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TIBCO

DECEMBER 9, 2015

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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MLWhiz

OCTOBER 10, 2015

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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Ms SQL Girl

AUGUST 6, 2015

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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Occam's Razor

AUGUST 11, 2015

Standard reports stink. Custom reports rock! If you are a regular reader of this blog, you are quite familiar with this sentiment. I've expressed it often. :). The primary reason is simple: You are unique. Your business is unique. Why would a report created for everyone work for the special someone that you are? There are other great reasons as well.

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Data Science and Beyond

OCTOBER 1, 2015

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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The Unofficial Google Data Science Blog

OCTOBER 7, 2015

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

MAY 28, 2015

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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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.

Marketing

Jim Harris

JULY 13, 2015

Background: “Apathy is the enemy of data quality”. I began work on data quality in the late 1980s at the great Bell Laboratories. We worked in partnership with a couple of AT&T groups and made rapid strides. The AT&T groups that applied our methods made order-of-magnitude improvements and, in so doing, saved tens of millions of dollars per year.

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In(tegrate) the Clouds

DECEMBER 28, 2015

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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Darkhorse

MARCH 31, 2015

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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ScienceSoft

JUNE 12, 2015

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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Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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.

Business Intelligence

Srividya Sridharan

APRIL 8, 2015

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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MLWhiz

OCTOBER 8, 2015

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.

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Ms SQL Girl

AUGUST 6, 2015

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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Occam's Razor

JULY 6, 2015

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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Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Data Science and Beyond

FEBRUARY 10, 2015

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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The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

by SEAN GERRISH and AMIR NAJMI To deliver the services our users have come to rely upon, Googlers have to process a lot of data — often at web-scale. For doing analyses quickly, it helps to abstract away as much of the repeated work as possible. In this post, we’ll describe some things we have learned about mixing declarative and procedural programing paradigms to simplify MapReduce as used by data scientists.

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Information Builders

JUNE 15, 2015

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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Jim Harris

AUGUST 12, 2015

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

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Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

In(tegrate) the Clouds

DECEMBER 21, 2015

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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Darkhorse

JULY 21, 2015

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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Wise Analytics

FEBRUARY 18, 2015

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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Srividya Sridharan

MARCH 18, 2015

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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