AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Sell 1 (PVH, PVH) 2022-09-06 18321.729571 55.15

Snapshot 82

Snapshot Data Lake Testing Strategy 82

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

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

JUNE 6, 2019

This model increases predictability without creating undesirable data silos. Multi-tenancy Strategies with Virtual Private Clusters. Prior to using Virtual Private Clusters, cluster admins need to decide on an isolation strategy for the compute-only clusters. In other words, tenants map to human beings. 2) By workload type.

Metadata 86

Metadata Data Lake Optimization Strategy 86

Occam's Razor

DECEMBER 12, 2016

How do you ensure that your can zig-zag with business strategy? And, of course there is the delicious detail of this strategy not adding burden to your site's visitor experience due to it's async nature. You got me, I am ignoring all the data layer and custom stuff! Macro & Micro Outcomes Content/Strategy.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

MAY 27, 2015

In a recent set of keynotes and consulting engagements in the US, UK and Canada, I've had an overwhelming feeling that in very fundamental ways some companies make imprecise choices when it comes to their digital strategy. Here are the digital myths that are leading us down a profoundly sub-optimal path: 1. The web is dead.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

OCTOBER 19, 2010

Depending on the size of your company (translation: resources available and what's impactful and doable) here is the priority order that I recommend for you to execute your web analytics tools strategy right. They'll simply puke data faster and, if you implement them right, more efficiently. Google Website Optimizer.

Analytics 135

Analytics Testing Measurement Optimization 135

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. our measurement strategies 2. This is sad.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

It is hard, it is time consuming, but it also allows you to test your hypotheses on possible optimal allocations, test them in the real world, find the best answers and be brilliant with your marketing spend mix. I can use that to hypothesize what an optimal budget allocation might look like.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) But if their primary output is just data, and not actions to take expressed in English or verbally in weekly senior staff meeting, then they are simply Reporting Squirrels. Most companies hire a Web Analyst, Sr.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

APRIL 29, 2013

Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

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. One sample strategy: Expect that I'll ask open-ended questions (If a company has 90% Reach on TV, why the heck do they need digital?). Beautiful, right? SCOTUSblog FTW!

Marketing 136

Marketing Analytics Machine Learning Strategy 136