Smart Data Collective

APRIL 13, 2021

Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011. The instances of data breaches in the United States are rather interesting. By 2012, there was a marginal increase, then the numbers rose steeply in 2014. Employee training.

Testing 122

Testing Behavioral Analytics Data-driven Big Data 122

bridgei2i

MAY 26, 2020

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. To introduce him better, he has been a supply chain analytics professional for over 14 years. And the third dimension is their data and analytics sophistication. Subscribe Now. Transcript. Anushruti: Right.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

MAY 14, 2012

A lot of digital analytics focuses on direct response (conversions, leads, etc.). But there is an additional valuable, and sexy, focus of our marketing we don't give enough analytical love: Branding! Bonus One: Read: Brand Measurement: Analytics & Metrics for Branding Campaigns ]. Amazon is an interesting example.

Measurement 128

Measurement Analytics Advertising Marketing 128

Occam's Razor

APRIL 8, 2013

This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. In this post, we’ll look at each of the four steps in the Lean Analytics Cycle in more detail. Let’s look at some case studies that will really help to drive the Lean Analytics Cycle home.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Bonus: The best computation of conversion rate is orders divided by users (the default in your analytics tool is sessions). I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Peter James Thomas

AUGUST 12, 2018

Integrity of statistical estimates based on Data. Having spent 18 years working in various parts of the Insurance industry, statistical estimates being part of the standard set of metrics is pretty familiar to me [7]. The thing with statistical estimates is that they are never a single figure but a range. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

Occam's Razor

SEPTEMBER 24, 2012

But if you read it, I promise, you'll see Facebook marketing, advertising and analytics in a completely new light. You've deployed five, six or 15 web analytics tools on your website/mobile app. If you are new to analytics, maybe you obsess about the wrong thing (impressions). Let's go! That is ok. That is how!

Advertising 165

Advertising ROI Metrics Marketing 165

Domino Data Lab

JANUARY 6, 2019

This is especially the case in data science; most enterprise organizations simply cannot hire enough of the data analytics talent they need therefore, so much of these staffing needs must be filled by current employees. Downey (2011). Based on the business focus of an organization, people need different approaches to training.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

OCTOBER 9, 2019

As Domino seeks to support the acceleration of data science work, including core tasks, Domino reached out to Addison-Wesley Professional (AWP) Pearson for the appropriate permissions to except “Clustering” from the book, R for Everyone: Advanced Analytics and Graphics, Second Edition. Chapter Introduction: Clustering.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

Occam's Razor

SEPTEMBER 13, 2016

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Today's post comes from a source of deep pain.

Modeling 127

Modeling Reporting Strategy Consulting 127

Sisense

MAY 4, 2020

These statistics highlight how large the task is to extract, transform, and load data that will be ready for analysis. Sisense CEO, Amir Orad, has said that every company is a data and analytics company or must become one soon. analytics- and data-driven) or obsolete. ”. analytics- and data-driven) or obsolete. ”.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

The Unofficial Google Data Science Blog

JULY 18, 2023

It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework. In what follows, assume we have a large number of items and people, so that the measures have little statistical uncertainty.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

FEBRUARY 22, 2010

Competitive intelligence, the "what else", is one of the core tenets of Web Analytics 2.0. Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? 5: Benchmarks from Web Analytics Vendors. Web analytics vendors have lots of customers, which means they have lots of data.

Metrics 123

Metrics Advertising Reporting Software 123

Domino Data Lab

MARCH 3, 2019

Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). Companies are applying AI in functional areas in which they likely have existing analytic applications, building atop that base. AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice (Feb 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Juice Analytics

MARCH 22, 2021

This work from 2011 was ahead of it’s time — as is most of Victor’s imaginative, inspirational work. How to Forecast an American’s Vote by The Economist “We have built a statistical model to estimate the odds of how each respondent will vote in next week’s mid-term elections.” Which 2020 Candidates Have The Most In Common … On Twitter?

Visualization 135

Visualization Interactive Statistics Forecasting 135

Domino Data Lab

JULY 9, 2019

The importance of data scientists having analytical technical skills coupled with the ability to clearly and concisely communicate with non-technical stakeholders. I’m not doing any analytics about people and claiming that somebody is a NASCAR mom or a business decision maker who’s interested in God knows what.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Domino Data Lab

SEPTEMBER 25, 2019

To support data scientists extract insights and accelerate their work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt “Time Series and Autocorrelation” chapter from the book R for Everyone: Advanced Analytics and Graphics, Second Edition. Chapter Introduction: Time Series and Autocorrelation.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. 1]" Statistics, as a discipline, was largely developed in a small data world. 1]" Statistics, as a discipline, was largely developed in a small data world.

Experimentation 61

Experimentation Testing Statistics Metrics 61