Sisense

MARCH 16, 2020

It’s so significant that in 2014, the UN established its Data Revolution Group to recommend how data can optimize its role as a force for good in sustainable development. Better data and statistics will help governments track progress and make sure their decisions are evidence-based; they can also strengthen accountability.

Statistics 72

Statistics Data-driven Big Data Finance 72

CIO Business Intelligence

APRIL 18, 2022

He began his IT career as an HPE customer, developing statistical databases and operating a timesharing data center. Marianne joined HPE in 2014 as an administrator and shortly thereafter moved to the Engagement and Pursuit team as Bid Manager for the Irish Market. About Marianne Talbot. Marianne Talbot – Hewlett Packard Enterprise.

Management 128

Management IT Data-driven Risk 128

BizAcuity

OCTOBER 21, 2019

In 2014, the Trip Barometer survey, which was conducted by TripAdvisor , suggested that online reviews influenced about 95% of the travelers in the United States. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

CIO Business Intelligence

MARCH 22, 2022

Change Catalyst is an organization focused on diversity in tech for women and minorities — it was developed in a direct response to Silicon Valley tech industry diversity numbers released in 2014. Women in tech statistics: The hard truths of an uphill battle. Gender gapped: The state of gender diversity in IT.

Software 145

Software Technology Statistics IT 145

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. This is how likely poor kids are to grow up and move out of poverty based on where they live [link] pic.twitter.com/7BBZQJ9bdg — Mother Jones (@MotherJones) January 31, 2014 Establish a Text Hierarchy Size your fonts according to their importance.

Visualization 105

Visualization Dashboards Testing Reporting 105

AWS Big Data

APRIL 3, 2024

For ADD_FILES options, you can use AWS Glue to generate Iceberg metadata and statistics for an existing data lake table and create new Iceberg tables in AWS Glue Data Catalog for future use without needing to rewrite the underlying data. He has helped customers of all sizes implement data management, data warehouse, and data lake solutions.

Data Lake 105

Data Lake Snapshot Metadata Data Architecture 105

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 66

Forecasting Statistics Modeling Software 66

Octopai

MAY 2, 2022

The term “DataOps” was coined by Lenny Leibman in 2014, both on his own blog and in a well-publicized (but no longer extant) article on the IBM Big Data & Analytics Hub. DataOps automation prevents that by using automated tests and statistical process control on your data pipelines. Issue detected?

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

Sisense

JANUARY 14, 2021

Michael Hartmann, VP of Business Intelligence With a Master of Science in physics, Michael has been working in data analysis and fintech since 2014. Whatever you’re building for your users, the right testing protocols (automated and human-centric) can be vital to delivering a product they’ll trust and keep using.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. Do you understand what data scientists do? Just so we’re on the same page, what is data science? No one knows for sure.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

datapine

MAY 2, 2019

In our example above, we are showing Sales by Payment Method for all of 2014. In the example above, the story isn’t about the total number of customers aged 15-25, but that 22% of the customers were 15-25 in the first quarter of 2014 (and 26% in Q4). They display relationships in how data changes over a period of time. What to avoid.

Visualization 173

Visualization Dashboards Sales Data-driven 173

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

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 45

Statistics Optimization Modeling Experimentation 45

BizAcuity

OCTOBER 21, 2019

In 2014, the Trip Barometer survey, which was conducted by TripAdvisor , suggested that online reviews influenced about 95% of the travelers in the United States. High-quality information is typically derived through the devising of patterns and trends through statistical pattern learning.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

The Unofficial Google Data Science Blog

APRIL 17, 2017

An obvious requisite property of reconciliation is arithmetic coherence across the hierarchy (which is implicit in the sum-up-from-the-bottom possibility in the previous paragraph), but more sophisticated reconciliation may induce statistical stability of the constituent forecasts and improve forecast accuracy across the hierarchy.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Howard Dresner

NOVEMBER 6, 2014

November 2, 2014 It happened so fast …. Several agreed that storytelling is “sharing” and thus part of collaboration to bring people “through a data-driven journey” or bring the “results of statistical analysis into others’ workflows.” With one foot in the trap, it looked like he had utterly failed in his mission. …

Business Intelligence 45

Business Intelligence ROI Interactive Statistics 45

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. e-handbook of statistical methods: Summary tables of useful fractional factorial designs , 2018 [3] Ulrike Groemping. Hedayat, N.J.A.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

AUGUST 7, 2023

AI algorithms have the potential to surpass traditional statistical approaches for analyzing comprehensive recruitment data and accurately forecasting enrollment rates. 2014 Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S. Department of Health and Human Services.

Optimization 55

Optimization Forecasting Data-driven Statistics 55

Depict Data Studio

NOVEMBER 4, 2022

” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. By 2014, thanks to blogging and YouTubing, there was so much demand for my dataviz training that I left the corporate world and started my own company. Or, “I have a job interview coming up. The Middle Years.

Dashboards 75

Dashboards Testing Software Consulting 75

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Quality must be monitored continuously to catch unexpected variation cases and produce statistics on its operation. Over the past 5 years, there has been a steady increase in interest in DataOps.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Peter James Thomas

OCTOBER 1, 2019

For example if the categories related to products, then the size of rectangle appearing against Product A might be proportional to the number sold, or the value of such sales. | © JMB (2014) | Used under a Creative Commons licence |. See also: Data Visualisation according to a Four-year-old. Cartograms.

Sales 61

Sales Measurement Statistics Data Architecture 61

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. CoRR, 2014. [2] References [1] Szegedy, Christian, Liu, Wei, Jia, Yangqing, Sermanet, Pierre, Reed, Scott E.,

IT 70

IT Visualization Modeling Uncertainty 70

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] At the time—in 2014—the three were colleagues working. representations using RNN encoder-decoder for statistical machine translation. Example 11.6 Detecting collocated bigrams with more conservative thresholds. Pennington, J., Note: Cho, K.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JANUARY 6, 2019

Later in 2014, Matei Zaharia and I developed an Introduction to Apache Spark course, then I took over the reigns of the popular Spark Camp from Andy Konwinski who’d created it. What started as a book evolved into video plus Jupyter notebooks, then a series of conference tutorials for O’Reilly Media.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

CIO Business Intelligence

AUGUST 5, 2022

Today, data visualization encompasses all manners of presenting data visually, from dashboards to reports, statistical graphs, heat maps, plots, infographics, and more. Choropleths use shades or patterns on a map to represent a statistical variable, such as population density by state. What is the business value of data visualization?

Visualization 143

Visualization Dashboards Statistics Business Intelligence 143

Juice Analytics

MARCH 4, 2022

Nightingale was known for her love of statistics. She used her experience in nursing and love of statistics to take data and information that were collected and turn it into charts and graphs like the one below.

Visualization 110

Visualization Statistics Data-driven Interactive 110

CIO Business Intelligence

JULY 20, 2022

This is a potentially alarming statistic given a projected worldwide staffing shortage of nearly 3 million cybersecurity professionals , a half million in the United States alone.

IT 136

IT Software Cost-Benefit Strategy 136

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. From 2014 onwards, I tried to do exactly that.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

Occam's Razor

SEPTEMBER 21, 2015

First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014. You are comparing 2012 and 2013, add a row of data at the top that shows your computation of the size of the opportunity for 2014. conversion rate (it might not be statistically significant!).

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

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 73

Statistics Machine Learning Sales Data Science 73

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. However, in 2014, 2015 the editors were falling in love with Slack.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. Starting with Python 3.0

Machine Learning 364

Machine Learning Software Testing Technology 364