Occam's Razor

MARCH 19, 2018

I worry about data’s last-mile gap a lot. As a lover of data-influenced decision making, perhaps you worry as well. A lot of hard work has gone into collecting the requirements and implementation. An additional massive investment was made in the effort to perform ninja like analysis. The end result was a collection trends and insights. The last-mile gap is the distance between your trends and getting an influential company leader to take action.

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Visualization B2B Dashboards Marketing 132

IBM Big Data Hub

MARCH 21, 2018

Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.

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Machine Learning Data Science Analytics 72

Perceptual Edge

MARCH 21, 2018

We typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments.

Uncertainty 66

Uncertainty Visualization IT Reporting 66

Juice Analytics

MARCH 21, 2018

Over the years, we’ve had the pleasure to work with many great individuals and companies and through our work have gained the ability to sympathize with their experiences of what we like to call “going from 0 to 100." No, we’re not endorsing excessive speeding in your car. We’re talking about going from having nothing but hopes and dreams about delivering engaging analytics (0) to having an interactive data story that your users don’t want to put down (100).

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Visualization Risk Interactive Strategy 66

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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?

Business Intelligence

The Unofficial Google Data Science Blog

MARCH 22, 2018

by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps. But what if users don't immediately uptake the new experimental version? What if their uptake rate is not uniform? We'd like to be able to make decisions without having to wait for the long tail of users to experience the treatment to which they have been assigned.

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Experimentation Measurement Modeling Statistics 62

IBM Big Data Hub

MARCH 22, 2018

Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.

Analytics 71

Analytics 71

ScienceSoft

MARCH 22, 2018

Big data can drive your company to success, but first you’ll need to deal with 7 major big data challenges. Find out what they are and how to solve them.

Big Data 58

Big Data 58

Bruno Aziza

MARCH 20, 2018

Cyber attackers have become adept and hyper-active in using SSL for malevolent purposes. This blog covers the biannual analysis of SSL trends conducted by Zscaler’s Threatlabz, which found that the number of SSL encrypted messages that contained advanced threats continued to rise in 2017.

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IBM Big Data Hub

MARCH 22, 2018

Hard to believe, but we’ve arrived at the final day of Think 2018. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. But we’re not done yet. Here are our top picks for analytics pros today.

Data-driven 71

Data-driven Analytics 71

Data Science and Beyond

MARCH 20, 2018

A post I’ve written on applying some software engineering best practices to data science projects. Data for Breakfast. Most data scientists have to write code to analyze data or build products. While coding, data scientists act as software engineers. Adopting best practices from software engineering is key to ensuring the correctness, reproducibility, and maintainability of data science projects.

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Data Science Statistics Software IT 40

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Data-driven

Nutanix

MARCH 19, 2018

Once upon a time, a long time ago (in 1999), 3-tier infrastructure was the go to for the needs of applications…from 1999.

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Smarten

MARCH 20, 2018

Is Augmented Analytics Too Complex for Business Users? The concept of Augmented Analytics may sound complicated (and it may, in fact, be a challenge for a software vendor to accomplish), but the new augmented data discovery tools are quite easy to use. Unlike the data discovery tools of old, business users do not need to look to the IT staff or data scientists to perform advanced data discovery.

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Visualization Forecasting Software Business Intelligence 40

IBM Big Data Hub

MARCH 20, 2018

The excitement, insights and innovation at Think 2018 is truly astounding. Today we heard from IBM Chairman, President and CEO, Ginni Rometty, plus industry leaders and clients who are transforming whole business sectors.

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IBM Big Data Hub

MARCH 19, 2018

We’re live at Think 2018. If you’re joining us in Las Vegas, welcome to the biggest IBM event of the year. You’re about to experience a whirlwind of analytics keynotes, panels, demos, and more.

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Analytics 63

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

IBM Big Data Hub

MARCH 19, 2018

Think 2018 is the biggest IBM conference of the year covering all things tech. And, to be sure you don't miss a moment, here are highlights from Monday, March 19, the first day of the event.

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IBM Big Data Hub

MARCH 21, 2018

Are you ready for another exciting day of Think 2018? There’s a big day planned for you at the Cloud & Data Campus and we’re here to help you navigate the many exciting sessions. Here are our top analytics picks of the day.

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Analytics 49

IBM Big Data Hub

MARCH 20, 2018

The second day of Think 2018 is here, and there’s an abundance of things to see and do at the Cloud & Data Campus. Here are the not-to-miss Think 2018 keynote speeches, demos, panels, training labs and other hands-on activities for Tuesday, March 20, both at the event and by tuning in online.

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