CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Data scientists often work with data analysts , but their roles differ considerably.

Unstructured Data 129

Unstructured Data Data Analytics Analytics Structured Data 129

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Occam's Razor

DECEMBER 12, 2016

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. Even if you follow the 10/90 rule, it is important to focus our time and resources optimally. All that is great.

Analytics 141

Analytics Data-driven Strategy Consulting 141

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. Be skeptical, intellectually honest.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

JANUARY 7, 2014

12: Almost all reporting is off custom reports. #11: 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: 6: All automated reports are turned off on a random day/week/month each quarter to assess use/value. #5: Reporting Squirrels vs. Analysis Ninjas.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

OCTOBER 19, 2010

Move from a data collection obsession and develop a crush on data analysys. A huge vast majority of clicks coming from search engines continue to be organic clicks (which is why I love and adore search engine optimization). Experimentation and Testing Tools [The "Why" – Part 1]. Google Website Optimizer.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

AUGUST 13, 2012

Jeroen Hesterman: My biggest challenge is this: I've created a data platform which captures all campaign (paid) traffic and can attribute a conversion to each based on whatever model I choose. Now… how do I create actionable insights from this data which are going to help me decide where to spend my budget?

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

APRIL 29, 2013

If it take ten days to make a decision to change bids on our PPC campaigns, let's go with that data cycle. " Here's why… Real-time data is very expensive. It is expensive from a systems/platforms/data processing/data reporting perspective. " Right-time. You'll get fired. Page views.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Online, offline or nonline.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Keep in mind that data science is fundamentally interdisciplinary. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. Optimal Acquisition Email Metrics. Most email programs now have preview panes that typically block images and scripts (Outlook, Thunderbird, Gmail, everyone), and default settings prevent data collection due to concerns about viruses.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

MARCH 23, 2010

My problem with these mistruths and FUD is that they result in a ton of practitioners and companies making profoundly sub optimal choices, which in turn results in not just much longer slogs but also spectacular career implosions and the entire web analytics industry suffering. This is sad. Even a little frustrating. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

MAY 27, 2015

Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. A data-first strategy is a winning formula. Per our friends at Wikipedia, Programmatic encompasses an array of technologies that automate the buying, placement and optimization of media inventory. Programmatic platforms are a panacea.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). What's the optimal organization structure (and who should own web analytics!)? Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60