CIO Business Intelligence

NOVEMBER 7, 2022

However, the measure of success has been historically at odds with the number of projects said to be overrunning or underperforming, as Panorama has noted that organizations have lowered their standards of success. million in implementation costs. If they turned on their new SAP system prematurely, their own operations could be compromised.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

Cloudera

AUGUST 6, 2018

Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease. For example, researchers from Berkeley used mobile data to predict poverty and wealth of individuals or microregions in Rwanda at a time when measuring poverty in Africa remains a challenge.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

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. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

OCTOBER 15, 2012

The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. It is SUPER important to passionately measure the offline impact of your online efforts until the day you die (cue, dramatic music). What you see is for 2012. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

APRIL 3, 2019

Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on. DG emerges for the big data side of the world, e.g., the Alation launch in 2012. credit cards). Data is on the move. That would’ve been heresy in earlier years.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. TensorBoard is a tool that provides the measurements and visualizations needed to help inspect, debug, and iterate during the machine learning workflow. Today, the sexy is starting to lose its shine.

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. It is pretty obvious to a data scientist that the only way one can measure the effect of an event is by knowing which events are happening at what time. What is MMM?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Occam's Razor

DECEMBER 3, 2012

And here's the test to apply to your brand: Would you want your brand's posts to in your own newsfeed every day? Another test to apply: How are you doing in terms of Conversation Rate, Amplification Rate, Applause Rate ? Do you have a 2009, 2012, 2015 mobile strategy? Your mobile strategy is ready for 2012.

Marketing 147

Marketing Advertising Strategy Optimization 147

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Smart Data Collective

APRIL 20, 2023

In 2012, we wrote this article on using big data for market research , which you may want to look at. Measuring content performance: Data analysis can help you measure the effectiveness of your content marketing efforts, such as website traffic, social media engagement, and conversions.By

Marketing 79

Marketing Strategy ROI Big Data 79

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. Use Kissmetrics or 4Q and measure primary purpose by task completion. I can't measure if the person voted. I can measure that they came. I can measure that they signed up for a lead.

Analytics 120

Analytics Measurement Data-driven Optimization 120

AWS Big Data

OCTOBER 23, 2023

Then to perform more complex data analysis such as regression tests and time series forecasting, you can use Apache Spark with Python, which allows you to take advantage of a rich ecosystem of libraries, including data visualization in Matplot, Seaborn, and Plotly.

Data Lake 100

Data Lake Visualization Optimization Interactive 100

Domino Data Lab

AUGUST 8, 2019

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. Have you run any A/B tests yet or written a one-pager describing a Minimum Viable Product?”. Afterward, I headed quietly back to my laptop for some light coding to recover. Or something. No big deal.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

SEPTEMBER 25, 2019

We see it when working with log data, financial data, transactional data, and when measuring anything in a real engineering system. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Time series data is commonly encountered. > # make a prediction for 5 years out?

Forecasting 87

Forecasting Modeling Statistics Optimization 87

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case.

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

MAY 17, 2021

Your Chance: Want to test a professional data discovery tool for free? Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world. Your Chance: Want to test a professional data discovery tool for free?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161