CIO Business Intelligence

MAY 31, 2022

These new, digitally enhanced worlds, realities, and business models are poised to revolutionize both life and enterprise in the next decade, as explored in Accenture’s recent Technology Vision 2022 report. Here are five implications these technologies will have on security and privacy as we build our collective future. .

Technology 116

Technology Interactive Experimentation IoT 116

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 142

Data-driven Consulting Reporting Marketing 142

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? Hopefully soon!

Modeling 125

Modeling Metrics Data Quality Data-driven 125

CIO Business Intelligence

AUGUST 16, 2023

Finally, there’s a presentation layer to reach the world outside Svevia in order to exchange data with customers. With the right data available and Microsoft’s Power platform, the aim is to proactively issue reports and decision support on an ongoing basis, and provide the power to digitize all parts of the company.

Risk 98

Risk Cost-Benefit Internet of Things Digital Transformation 98

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. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline.

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

IBM Big Data Hub

MARCH 27, 2024

A 2022 CDP study found that for companies that report to CDP, emissions occurring in their supply chain represent an average of 11.4x The same study showed that 72% of CDP-responding companies reported only their operational emissions (Scope 1 and/or 2). more emissions than their operational emissions.

Experimentation 73

Experimentation Deep Learning Modeling Data-driven 73

Occam's Razor

JULY 18, 2011

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. This should drive aggressive experimentation of email content / offers / targeting / every facet by your team. That is okay.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

Depict Data Studio

JULY 13, 2021

Qualitative analysis basically means you are looking for patterns and changes in patterns in both your numbers data (what people report on surveys) and your stories data (what people tell you in words). You’re examining how the data look – the shape, the themes, the patterns that emerge, and when the patterns change.

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

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 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

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 138

Marketing Analytics Machine Learning Strategy 138

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization. It is a book about Web Analytics 2.0. Qualitative and quantitative. Clicks and outcomes. RSS and RIA's.

Analytics 60

Analytics Metrics Marketing Dashboards 60

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Without clarity in metrics, it’s impossible to do meaningful experimentation.

Marketing 364

Marketing Experimentation Metrics Testing 364

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Dive into Mobile Reporting and Analysis. Dive into Mobile Reporting and Analysis. Media-Mix Modeling/Experimentation. Dive into Mobile Reporting and Analysis. What do you learn from this report?

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

OCTOBER 19, 2010

Move from a data collection obsession and develop a crush on data analysys. With simple configuration updates in the tools you'll create a custom report showing you Source/Campaign, Visits –> Live Chat % –> Goal Conversion Rate –> Per Visit Goal Value. of these three tools: ~ Yahoo! Three tools.

Analytics 136

Analytics Testing Measurement Optimization 136

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. There is a difference between reporting and analysis. Don't ask for too much reporting. No problem.

Analytics 142

Analytics Data-driven Strategy Consulting 142

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.

Experimentation 62

Experimentation Testing Statistics Metrics 62

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. When it comes to proving which campaigns are better and which numbers to report to the management what will you do? Likely not. Omniture cannot save you. Only you can save yourself. Fail faster. [

Analytics 119

Analytics Consulting Metrics Experimentation 119

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

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 Machine Learning Data-driven 66

Occam's Razor

MAY 27, 2015

It is the quest to implement systems (usually massive) to collect data of all shapes and manner before all else. It is an investment in numerous report writers or data (puking) automation or hiring a small army in India or Philippines to do that, before investing in any smart Analyst. Climb up the ladder some more.

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155

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. Just look at your own reports.

Marketing 166

Marketing Metrics Advertising Measurement 166

CIO Business Intelligence

FEBRUARY 5, 2025

Also in 2024, 42% of companies reported that their gen AI initiatives have yet to deliver meaningful results. Break the project into manageable, experimental phases to learn and adapt quickly. Leverage existing data and infrastructure to avoid costly delays in data collection or system integration.

Cost-Benefit 117

Cost-Benefit ROI Metrics Measurement 117