CIO Business Intelligence

APRIL 7, 2022

More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work. KPMG, for example, built its first interactive chatbot in 2016. To fill this gap, some companies are turning to employee surveys aimed at gauging how workers are feeling.

Consulting 145

Consulting Interactive Management Metadata 145

CIO Business Intelligence

JULY 31, 2024

The company has been bundling various forms of automation into its Einstein brand since 2016. For teams that want to boil down their own data into predictive tools, Model Builder will turn all those records of past purchases sitting in the data lake into a big statistical hair ball of tendencies that passes for an AI these days.

Data Lake 119

Data Lake IT Sales Experimentation 119

CIO Business Intelligence

FEBRUARY 19, 2024

They point to statistics that highlight challenges in IT workforce recruitment and diversity. Abraham interned as a software engineer at Lincoln Financial Group, after first interacting with the company on the Morgan campus through a college-affiliated mentor and hackathon called codeLinc.

IT 137

IT Consulting Reporting Software 137

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. TF Lattice offers semantic regularizers that can be applied to models of varying complexity, from simple Generalized Additive Models, to flexible fully interacting models called lattices, to deep models that mix in arbitrary TF and Keras layers. monotonicity, diminishing returns).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

The Data Visualisation Catalogue

APRIL 4, 2019

Then in around 2016, I first started using VR hardware and from there I had two thoughts: first, that VR is going to be the most revolutionary technology of my lifetime; and second, that VR can make the process of data analysis and presentation much easier (especially in my job as an investment analyst). Is momentum important? And so on.

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. As the crisis evolved.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Occam's Razor

SEPTEMBER 13, 2016

Econsultancy/Lynchpin provides this description in the report: "There were 960 respondents to our research request, which took the form of a global online survey fielded in May and June 2016. Ok, maybe statistical modeling smells like an analytical skill. " The survey was 76% from the UK and EU. You lose twice.

Modeling 128

Modeling Reporting Strategy Consulting 128

Smarten

SEPTEMBER 6, 2019

The key to self-serve solutions is to provide sophisticated features and functionality in an easy-to-use, intuitive, interactive environment that users will want to adopt and leverage. Users can control the data elements, the volume and the timing of the analysis and reporting. Can SSDP Truly Make Analytics Self-Serve?

Analytics 51

Analytics IT Business Intelligence Testing 51

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Lots of time and interest: Interactive charts. Consult a Chart Chooser My interactive Chart Chooser includes dozens of chart types, resources, tutorials, and templates. Laypeople are often more interested in practical significance (the “so what?” New to Dataviz?

Visualization 105

Visualization Dashboards Testing Reporting 105

Smarten

JANUARY 3, 2019

Citizen Analysts create and generate data models and use sophisticated analytics that are supported by easy-to-use interactive BI dashboards. By definition, Citizen Analysts are not data scientists, or professional analysts or IT staff. How Can Citizen Analysts Improve Your Organization? ’ Clearly, Citizen Analysts are here to stay!

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

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. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

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. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ Journal of the American Statistical Association, Vol.

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data. Example 11.6 Joulin, A., arXiv: 1607.01759.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JANUARY 6, 2019

For content, the foundational material needs hands-on examples which reinforce statistical thinking , how to build reproducible workflows , understanding how to use confidence intervals , how to visualize data , no free lunch theorem, creating a confusion matrix , and so on. Jake Vanderplas (2016). Chris Albon (2018). Think Stats.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

AWS Big Data

JULY 10, 2024

The new data preparation interface in AWS Glue Studio provides an intuitive, spreadsheet-style view for interactively working with tabular data. Create an IAM role for the console user Complete the following steps to create the IAM role to interact with the console: On the IAM console, in the navigation pane, choose Role.

Interactive 103

Interactive Visualization Data Integration Statistics 103

Domino Data Lab

AUGUST 8, 2019

Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Putting discussions about security aside, the statistics competency required to confront fairness and bias issues for machine learning models in production set quite a high bar. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Occam's Razor

JULY 13, 2017

4: Interactivity With Insightful End-Points. Strategy 4: Interactivity With Insightful End-Points. In a business context when you are working with interactive data visualizations, ask this very valuable question: In a sea of data, whose job is it to include a logical end-point with an insight of value? 2: If Complex, Focus!

Visualization 125

Visualization Strategy Interactive Statistics 125

Smarten

SEPTEMBER 9, 2024

The Definition and Evolution of the Citizen Data Scientist Role The world-renowned technology research firm, Gartner, first introduced the concept of the Citizen Data Scientist in 2016. Since then, the idea has grown in popularity, and the role has grown in importance and prominence. ‘To Who is a Citizen Data Scientist ?

Prescriptive Analytics 52

Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

Domino Data Lab

MARCH 27, 2019

This data set contains the percentage of votes that were cast in each state for the Democratic Party candidate in each presidential election from 1932 to 2016. For an interactive exploration of how state voting patterns have shifted over time, see this piece by the New York Times. presidential elections, built with the ggplot2 package.

Statistics 85

Statistics Data Science Visualization IT 85

Smarten

SEPTEMBER 9, 2024

In fact, the world-renowned technology research firm, Gartner, first introduced the concept in 2016. Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

O'Reilly on Data

JUNE 16, 2020

We know, statistically, that doubling down on an 11 is a good (and common) strategy in blackjack. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S. One way to correct for this bias in the data is to look at the statistics of “excess deaths,” the numbers when compared with previous years.

Uncertainty 278

Uncertainty Testing Risk Reporting 278