datapine

SEPTEMBER 4, 2023

As a result, you can develop a management report that will enable you to gain the insights you need to make changes that have a positive impact on the business. For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Back in 2015, when around 46.3 million USD, a shocking 15% increase over three years.

Interactive 264

Interactive Visualization Cost-Benefit Dashboards 264

BizAcuity

MARCH 25, 2019

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. billion in 2015 to $21.92

Analytics 74

Analytics Dashboards Sales Marketing 74

CIO Business Intelligence

APRIL 24, 2023

Amanda Merola had zero technical background when she came to The Hartford in 2015, despite a natural interest in computers and a proclivity for problem-solving. Moreover, in a recent Gartner survey, 86% of CIOs said they faced stiffer competition for qualified tech candidates while 73% confirmed they were worried about IT talent attrition.

IT 111

IT Strategy Insurance Software 111

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. They send out reports and dashboards. If you are a report writer in your company most of the time, ponder the above thought. Take all the math class you can possibly take, including Calc I, Calc II, Calc III, Linear Algebra, Probability, and Statistics. I mean Analysts.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 95

Experimentation Statistics Testing Knowledge Discovery 95

Jen Stirrup

OCTOBER 21, 2019

I’m normally reporting into Board level, or one level below, so my projects tend to have high visibility across the organization. Davies Review (2015 ) I mproving the Gender Balance on British Boards. Office for National Statistics (2015) Gender Pay Gap. Parliament UK (2015) Parliament and Women.

Data-driven 49

Data-driven Marketing Testing Insurance 49

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ).

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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

Jet Global

AUGUST 4, 2023

Power BI Visuals One competitive feature that Microsoft added to Power BI in 2015 was the implementation of Custom Visuals. This ranges from budgeting, forecasting, financial planning, financial modeling, report building, and business partnering. It’s basically as if you are working in Excel, but in Power BI.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

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

Domino Data Lab

JULY 9, 2019

When I showed up I was reporting to the head of BI who reported to CTO who reported to CIO who reported to EVP of digital products who reported to CEO. At this point data is a function that reports directly to CEO. However, in 2014, 2015 the editors were falling in love with Slack.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

JANUARY 6, 2019

Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Sharply increasing importance of skills such as technology design and programming highlights the growing demand for various forms of technology competency identified by employers surveyed for this report. In particular, note “Exhibit 6:”. In a word, yes.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

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.

Advertising 42

Advertising Testing Sales Statistics 42

Andrew White

JANUARY 9, 2022

For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. This was not statistic and we have not really explored this in any greater detail since. Here is the 2021 report: What Are Must-Have Roles for Data and Analytics? That is the key.

Analytics 64

Analytics Measurement Data-driven Modeling 64

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. If you want to go deeper into the topic, take a look at our misleading statistics blog post.

Visualization 267

Visualization Metrics Statistics Dashboards 267

Alation

FEBRUARY 20, 2020

To address these needs, a catalog should provide data samples and statistical profiles, lineage, lists of users and stewards, and tips on how the data should be interpreted. If I see a metric in a report, I want to be able to look it up, even if it shouldn’t have been used in the first place. Prescriptive vs. Descriptive.

Metrics 52

Metrics Consulting Machine Learning Statistics 52

Occam's Razor

JULY 13, 2017

Good reporting. The Global Gender Gap Report is a fabulous example how to solve this problem. The output is not the reporting, the output are the conclusions from the Analyst’s brain. Consider this, conversion rate could go up by a statistically significant percentage… While revenue actually goes down. Simple exploration.

Visualization 125

Visualization Strategy Interactive Statistics 125

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

Smart Data Collective

MAY 19, 2021

This trend is prevalent in the US, UK and further afield, with the former’s Bureau of Labour Statistics reporting that three of the jobs with the highest forecast growth level are wind turbine technician, registered nurse, and solar technician.

Data Analytics 91

Data Analytics Analytics Big Data Predictive Analytics 91

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. Nate Silver and FiveThirtyEight have put substantial thought into how to report their probabilistic forecasts.

Uncertainty 280

Uncertainty Testing Risk Reporting 280