CIO Business Intelligence

OCTOBER 11, 2023

Once you find product market fit, you scale, build foundations and implement production lines. With a career that spans decades across some of the most recognized brands and companies, Raji Subramanian has been making her mark at San Fransisco-based Opendoor for nearly three years.

Digital Transformation 77

Digital Transformation Metrics Optimization Strategy 77

O'Reilly on Data

JANUARY 25, 2021

Even small restaurants and farm markets were adding online ordering features to their websites. in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. It’s particularly difficult if testing includes issues like fairness and bias.

Machine Learning 362

Machine Learning Software Testing Technology 362

Smart Data Collective

MARCH 23, 2020

In 2014, there were about 1.82 What is more important, these models reduce the necessity of finding focus groups to test new things – the results can be foreseen through a simulation based on users’ data. However, the new GDPR policy may have an impact on using big data in marketing. billion gamers worldwide. billion in 2021.

Big Data 103

Big Data Recreation/Entertainment Data mining Optimization 103

O'Reilly on Data

APRIL 25, 2019

Due to the nascency of cryptocurrency markets, volatility has remained a staple for both outside observers and users. Stablecoins aren’t a new revelation in the cryptocurrency space, as attempts at their implementations have been in motion since 2014. The volatility problem is one such important candidate. Stablecoin history.

Cost-Benefit 109

Cost-Benefit Risk Marketing Finance 109

Occam's Razor

NOVEMBER 2, 2015

if yes, what should your content (and marketing) strategy be. Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. It covers, content, marketing and measurement. We have intent, why be the terrible Marketer that discriminates? It is pronounced the more test. Facebook for Businesses.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

bridgei2i

SEPTEMBER 1, 2020

A deep dive of this would include all marketing activities that support such digital transactions, including people, processes, and technologies associated with analytics, promotion, pricing, customer acquisition and retention, and customer experience at all touchpoints throughout the customer buying journey. These are: Watchtower.

Sales 52

Sales Metrics Optimization Enterprise 52

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. 2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. The evolution of Cloud Computing.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Sisense

JUNE 9, 2021

On 8 July 2014, Brazil suffered its worst ever defeat at the hands of Germany, losing 7-1 in the World Cup semifinal. This data allows them to identify, change, and test the effectiveness of typical passages of play. To illustrate this, let’s look at one of the most shocking scores in international football.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This situation can quickly pose a dilemma for the chief data officer.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Surely you are not surprised that digital finally beats TV.

Metrics 141

Metrics Reporting Analytics Marketing 141

Howard Dresner

FEBRUARY 11, 2014

These pronouncements are often the verdict when technology evolves quickly and some functionalities or features don’t grab a strong enough hold quickly enough in the market. Vendors need to automate and decrease that effort.” • “I tested a social analytics tool; I was less than impressed. All that glitters isn’t gold.

Analytics 45

Analytics Business Intelligence Data Processing Marketing 45

Insight

APRIL 16, 2019

million by 2021 , a more than 300% increase since 2014. According to the CyberSeek report by the National Institute of Standards and Technology (NIST), the supply of security professionals is alarmingly low compared to the number of openings in several key markets. Despite urgent calls for more education and training from leaders?—?from

Machine Learning 68

Machine Learning Software Risk Reporting 68

Domino Data Lab

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. To test out DBSCAN, I’m going to use a dataset consisting of annual customer data for a wholesale distributor. Application.

Metrics 116

Metrics KDD Testing Machine Learning 116

datapine

FEBRUARY 23, 2023

To get a clearer impression, here is a visual overview of which chart to select based on what kind of data you need to show: **click to enlarge** Your Chance: Want to test modern data visualization software for free? Your Chance: Want to test modern data visualization software for free?

Visualization 177

Visualization Dashboards Sales Measurement 177

Occam's Razor

FEBRUARY 9, 2015

When you are done reading the post, you'll be super mad that your marketing strategy is not more influenced by your competitor's data! Note to NSA reviewer of this blog post: I'm a harmless digital marketer, totally not worth your attention.]. Identify changes in your marketing mix/strategy. More on that below.).

Metrics 155

Metrics Reporting IT Advertising 155

Occam's Razor

NOVEMBER 18, 2014

In each case the creator did something interesting that made me wonder how I can use their strategy in my daily efforts in service of digital marketing and analytics. In the other two, I'll ask for your help in how you might connect the inspiration to your work as a Marketer/Analyst. We will look at six short stories.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014). Unfortunately, randomization is not possible in many situations.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Edwin Chen

AUGUST 14, 2014

How can we understand causal lifts in the absence of an A/B test? One day, Brad 1 happens to receive the last batch of Soylent from a marketer on the street, while Brad 2 does not, and so only Brad 1 begins to incorporate Soylent into his diet. Assume that it's impossible to run an A/B test now that the feature has been launched.)

Modeling 75

Modeling Measurement Sales Testing 75