CIO Business Intelligence

AUGUST 30, 2022

Despite an evolving internet penetration rate of 47% in 2020, according to Internet World statistics, the social use of ICTs remains the main cause of digital illiteracy in Africa. He discovered digital currencies in India in 2012 and has since been fascinated by them and has worked with them to understand what lies ahead. “I

Digital Transformation 98

Digital Transformation Strategy Statistics Consulting 98

Smart Data Collective

APRIL 13, 2021

By 2012, there was a marginal increase, then the numbers rose steeply in 2014. Citing statistics from the Accenture 9th Annual Cost of Cybercrime Study , Accenture Managing Director Robert Kress submits that “humans are still the weakest link when it comes to an organization’s cybersecurity defenses.” Employee training.

Testing 120

Testing Behavioral Analytics Data-driven Big Data 120

Data Science and Beyond

JANUARY 11, 2020

I learned about Bayesian statistics and conjugate priors. Towards the end of my PhD in 2012, I got into Kaggle competitions. Sentiment analysis is a commodity – using it in practice is a software engineering problem. Moving forward in my PhD, I got into topic modelling. Today, I probably wouldn’t bother with the maths.

Software 103

Software Data Science Machine Learning Deep Learning 103

Peter James Thomas

AUGUST 18, 2018

Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation. These people take on much of the heavy lifting of consolidating, fixing and enriching datasets, allowing the Data Scientists to focus on Statistical Analysis, Data Mining and Machine Learning.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Sisense

MARCH 7, 2019

In fact, according to the UNESCO Institute for Statistics , “16 million girls will never set foot in a classroom – and women account for two-thirds of the 750 million adults without basic literacy skills.”. Despite progress in recent years, UNESCO says that more girls than boys remain out of school.

Statistics 90

Statistics Reporting Dashboards Interactive 90

Smart Data Collective

SEPTEMBER 25, 2019

The trouble began in 2012 when a thief stole a laptop containing 30,000 patient records from an employee’s home. Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. Ponder the statistics and points of focus here as you plan how to proceed.

Technology 82

Technology Statistics Strategy Insurance 82

Rita Sallam

SEPTEMBER 11, 2020

Rather than just using some solely fun data like football/ soccer statistics – go Mo Salah! Although global life expectancy at birth continues to increase yearly, the United States plateaued in 2012 (79yrs) and started declining ever so slightly in 2014. We try use the Bake-Offs as a platform for data for good. ThoughtSpot.

Statistics 96

Statistics Machine Learning Sales Data Science 96

Alation

FEBRUARY 20, 2020

Metrics and statistics are wonderful, but we need to surround data with more context and lower the costs of using data. Rather than focusing on making data consumers do more work, maybe we can boost literacy by surrounding the data with context and reducing the burden of understanding the information.

Big Data 52

Big Data Data-driven Statistics Metrics 52

AWS Big Data

APRIL 3, 2024

In our case, we are appending _custom to the statistic name, resulting in the following format for KPIs: Completeness_custom Uniqueness_custom In a real-world scenario, you might want to set a value that matches with your data quality framework in relation to the KPIs that you want to track in Amazon DataZone.

Data Quality 87

Data Quality Visualization Metadata Metrics 87

datapine

MAY 14, 2019

For those embarking on a journey to master the art of the ‘R’ language – a statistical computing program and framework for increased business intelligence-based success – Advanced R is intuitive, easy to follow, and will give you a well-rounded overview of this invaluable area of data science.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

The Unofficial Google Data Science Blog

JUNE 30, 2016

Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces. For a random sample of units, indexed by $i = 1.

Statistics 44

Statistics Optimization Modeling Experimentation 44

datapine

SEPTEMBER 27, 2022

This piece, published in 2012, offers a step-to-step guide on everything related to SQL. Originally published in 2018, the book has a second edition that was released in January of 2022. 4) “SQL Performance Explained” by Markus Winand.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Occam's Razor

MARCH 12, 2012

Clickstream + qualitative data + rigorous statistical analysis of outcomes + deep mining of data from competitive intelligence sources + rapid experiments + more. Avoiding big disappointment and the hows were on my mind as I prepared my keynote for Strata 2012 Big Data conference.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

Jen Stirrup

OCTOBER 21, 2019

According to the Telegraph (2012), Female execs earn £423,390 less than men over careers. . Office for National Statistics (2015) Gender Pay Gap. I always learn something from the people that I work beside, and for that, I am truly blessed. It’s clear that there are general issues around diversity, however.

Data-driven 48

Data-driven Marketing Testing Management 48

AWS Big Data

JUNE 28, 2023

Create a role in the target account with the following permissions: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Action":[ "redshift:DescribeClusters", "redshift-serverless:ListNamespaces" ], "Resource":[ "*" ] } ] } The role must have the following trust policy, which specifies the target account ID. Choose Create policy.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

Occam's Razor

MAY 14, 2012

It used to fall behind lag the other two in brand queries, but you can see how starting late 2009 (bad year for Target in this context) Amazon overtook Target and now (2011, 2012) is casting a big shadow over Target. They are full of specific insights you can use to optimize your online search campaigns.

Measurement 128

Measurement Analytics Advertising Marketing 128

The Unofficial Google Data Science Blog

APRIL 17, 2017

In the first plot, the raw weekly actuals (in red) are adjusted for a level change in September 2011 and an anomalous spike near October 2012. Prediction Intervals A statistical forecasting system should not lack uncertainty quantification. Journal of Official Statistics 6.1 Specifically, see "1.4 2] Cleveland, Robert B.,

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

IBM Big Data Hub

JANUARY 10, 2023

To make it easy for clients to understand how to utilize this capability within NPS, a demonstration was created that uses flight delay data for all commercial flights from United States airports that was collected by the United States Department of Transportation (Bureau of Transportation Statistics). Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

Data Science and Beyond

JULY 22, 2018

I got my first data science job in 2012, the year Harvard Business Review announced data scientist to be the sexiest job of the 21st century. Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. Things have changed considerably since 2012.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

Domino Data Lab

APRIL 21, 2021

In contrast, the decision tree classifies observations based on attribute splits learned from the statistical properties of the training data. Machine Learning-based detection – using statistical learning is another approach that is gaining popularity, mostly because it is less laborious. 3f" % x) dataDF.describe().

Statistics 69

Statistics Machine Learning Modeling Metrics 69

CIO Business Intelligence

JULY 2, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 million , and this figure is likely due to many professionals giving their home offices a refresh.

Statistics 95

Statistics Sales Technology Visualization 95

CIO Business Intelligence

JULY 5, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 million , and this figure is likely due to many professionals giving their home offices a refresh.

Statistics 89

Statistics Sales Technology Visualization 89

AWS Big Data

MARCH 21, 2024

Available metrics on the Amazon Redshift console are integration metrics and table statistics, with table statistics providing details of each table replicated from Amazon RDS for MySQL to Amazon Redshift. Choose Create policy. Choose Zero-ETL integrations in the navigation pane and choose the integration to display activity metrics.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). This is an increase from 64.2 zettabytes of data in 2020, a tenfold increase from 6.5

Big Data 100

Big Data Data-driven Recreation/Entertainment Data Governance 100

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. I went to a meeting at Starbucks with the founder of Alation right before they launched in 2012, drawing on the proverbial back-of-the-napkin.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

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. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What is MMM? Data Requirements.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

Domino Data Lab

AUGUST 8, 2019

Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. It’s a quick way to clear the room. machine learning? Or something. Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Alation

JULY 7, 2022

In 2012 Davenport and Patil declared the data scientist was “ The Sexiest Job of the 21st Century.” The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. Who would uncover secrets from these unknown landscapes? The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

The Unofficial Google Data Science Blog

AUGUST 27, 2019

But importance sampling in statistics is a variance reduction technique to improve the inference of the rate of rare events, and it seems natural to apply it to our prevalence estimation problem. Statistical Science. Statistics in Biopharmaceutical Research, 2010. [4] 5] Ray Chambers, Robert Clark (2012). 7] Neyman, J.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Depict Data Studio

NOVEMBER 4, 2022

I published my first video on November 4, 2012…. ” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. and the rest was history! I never intended to start a business; it just kind of happened naturally thanks to YouTubing and blogging. Or, “I have a job interview coming up.

Dashboards 75

Dashboards Testing Software Consulting 75

IBM Big Data Hub

OCTOBER 12, 2023

However, AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. Human intervention was required to expand Siri’s knowledge base and functionality.

Machine Learning 71

Machine Learning Deep Learning Interactive Modeling 71

Data Science and Beyond

OCTOBER 22, 2014

Person who is better at statistics than any software engineer and better at software engineering than any statistician. Josh Wills (@josh_wills) May 3, 2012 One of my reasons for doing a PhD was wanting to do something more interesting than “vanilla” software engineering. This post discusses my favourite definition.

Data Science 40

Data Science Statistics Software IT 40

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment. In the U.S., Cambridge, 2007.

Advertising 42

Advertising Testing Sales Statistics 42

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

The Unofficial Google Data Science Blog

MARCH 31, 2016

We often use statistical models to summarize the variation in our data, and random effects models are well suited for this — they are a form of ANOVA after all. Cambridge University Press, (2012). [4] Journal of the American Statistical Association 68.341 (1973): 117-130. [5] Journal of the American Statistical Association, Vol.

Modeling 40

Modeling Statistics Advertising Testing 40

Sisense

DECEMBER 11, 2019

From a startup in 2012, it is now valued at $3.2 The easy set-up and access to embedded analytics enable them to measure KPIs, get game statistics, monetization and retention statistics that help them to optimize players’ experience, hone best practices and benchmarks, and maximize stickiness and profitability. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80