CIO Business Intelligence

APRIL 7, 2022

KPMG, for example, built its first interactive chatbot in 2016. By analyzing messaging metadata, “not the messages themselves,” he says, “we can now statistically prove that certain types of communication behavior directly correlate to business performance.”. It saw some limited adoption at first, but interest waned quickly.

Consulting 145

Consulting Interactive Management Metadata 145

CIO Business Intelligence

JUNE 28, 2023

It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Follow a value-focused strategy. “Deliveries were made in phases, and complexity increased with each phase,” Gopalan says.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

FEBRUARY 19, 2024

They point to statistics that highlight challenges in IT workforce recruitment and diversity. Jo Abernathy, CIO, Blue Cross Blue Shield NC BCBSNC “Understanding the historical lack of diverse representation in IT, we have been very intentional in creating partnerships and strategies to create a pipeline of diversified talent.

IT 137

IT Consulting Reporting Software 137

CIO Business Intelligence

FEBRUARY 28, 2023

We wanted a digital platform that would bring the museum to other people in the world.” Curators and IT experts who designed the digital replica continue to enhance the platform with technologies that make it not only more widely accessible but also replete with fresh, robust content.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

bridgei2i

MAY 26, 2020

And over the past few weeks, on our AI to Impact podcast, we’ve been chatting with reputed AI & analytics leaders, digital transformation advisors and BRIDGEi2i business heads to gather their point of view on the current crisis challenges that enterprises are facing and some strategies to manoeuvre the COVID-19 situation.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. and implications of findings) than in statistical significance. But it can be overwhelming to get started with data visualization.

Visualization 105

Visualization Dashboards Testing Reporting 105

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

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

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. It is also a sound strategy when experimenting with several parameters at the same time. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. When these concerns loom too large to ignore, data scientists and practitioners will generally adopt one of a few suboptimal strategies. by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Jen Stirrup

OCTOBER 21, 2019

I am mentoring and leading them, while delivering the project, setting a vision, generating and implementing data strategies, and slowly helping to mould the culture to be more data-driven as well as insight-driven. In the Art of War, one strategy is to decide when to expend your energy and when to conserve energy.

Data-driven 49

Data-driven Marketing Testing Insurance 49

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. Journal of the American Statistical Association 68.341 (1973): 117-130. [5] Journal of the American Statistical Association, Vol. 5] Anoop Korattikara, et al.

Modeling 40

Modeling Statistics Advertising Testing 40

Andrew White

JANUARY 9, 2022

– We did some early work a few years ago that look at the career path of a CDO – see from 2016 Build Your Career Path to the Chief Data Officer Role. This was not statistic and we have not really explored this in any greater detail since. 2016) though I have followed the topic in retail and CPG for years.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below.

Sales 61

Sales Measurement Statistics Data Architecture 61

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

Domino Data Lab

JANUARY 6, 2019

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Jake Vanderplas (2016). or Julia (winner of 2018 Wilkinson prize ), most people are focusing on Python for introduction to data science. Machine Learning with Python Cookbook. Think Stats.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics. and an error term ??

Statistics 31

Statistics Uncertainty Risk Marketing 31

Occam's Razor

SEPTEMBER 13, 2016

I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. Bonus #1: Lessons from Econsultancy/Lynchpin Survey Strategy. I heart you. Bottom-line.

Modeling 128

Modeling Reporting Strategy Consulting 128

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. It was lately revised and updated in January 2016. Stein Kretsinger, founding executive, Advertising. Davenport.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

TDAN

APRIL 2, 2025

In 2016, the technology research firmGartnercoined the term citizen data scientist, defining it 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.

Prescriptive Analytics 52

Prescriptive Analytics Statistics Modeling Technology 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. How can you say always ?!? Mike had made the common error of equating a bad outcome with a bad decision.

Uncertainty 357

Uncertainty Testing Risk Reporting 357

Occam's Razor

JULY 13, 2017

The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. Strategy 1: The Simplicity Obsession. Strategy 2: If Complex, Focus! Strategy 3: Venn Diagrams FTW! Strategy 4: Interactivity With Insightful End-Points.

Visualization 125

Visualization Strategy Interactive Statistics 125