Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. Data lakes were designed to be agile and provide analytics data on the fly while processing incoming data at a remarkable speed. The Thrust for Data Lake Creation.

Data Lake 83

Data Lake Big Data OLAP Testing 83

Smart Data Collective

APRIL 5, 2019

For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. Social media monitoring involves collecting data and is quantifiable. During this time, they raised $300,000 in seed funds, $3.5

Big Data 79

Big Data Interactive Data-driven Metrics 79

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. In our opinion, both terms, agile BI and agile analytics, are interchangeable and mean the same. What Is Agile Analytics And BI? Agile Business Intelligence & Analytics Methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. Following revelations of NSA activities via Mr. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all web analytics tools. No keyword data in analytics tools.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Occam's Razor

APRIL 25, 2011

Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8. " I'd postulated this rule in 2005, it is even more true in 2011. Web Analytics, 4Q, KissInsights, Insights for Search, AdPlanner, and all the other glorious free tools. The 10/90 rule. People matter.

Marketing 126

Marketing Measurement Metrics Testing 126

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 28, 2011

Web Analysts are blessed with an immense amount of data, and an amazing amount of valuable, even sexy, metrics to understand business performance. Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Since crappy sounds bad, let's just say you are reporting super lame metrics.

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. In a world of rapid technological change, digital tools for marketers are having a moment.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

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. head(wine).

Statistics 100

Statistics Machine Learning Metrics Measurement 100

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. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

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). What metrics are used to evaluate success? Companies are applying AI in functional areas in which they likely have existing analytic applications, building atop that base. Who builds their models? One-third use human-in-the-loop.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Smart Data Collective

JUNE 6, 2021

The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery. Before diving into whether or not Google BigQuery is the future of big data analytics, it’s vital to firstly understand what “big data analytics” actually means. What is big data?

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

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. With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. And for good reason!

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. Business Leaders.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167