CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. With this huge amount of data per month, we are able to offer stats and reports,” Bruno says.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

CIO Business Intelligence

APRIL 7, 2022

KPMG, for example, built its first interactive chatbot in 2016. According to Genpact, 66% of their employees used the Amber chatbot in 2021, and of those who did, 84% reported a positive mood. More recently, they’ve been exploring the use of interactive chatbots to check the pulse of employee sentiment at work.

Consulting 145

Consulting Interactive Management Metadata 145

DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. The regulators have provided a universal definition that has been adopted across the financial industry.

Risk 111

Risk Modeling IT Risk Management 111

Occam's Razor

SEPTEMBER 13, 2016

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Bonus #2: The Askers-Pukers Business Model.

Modeling 128

Modeling Reporting Strategy Consulting 128

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 45

Visualization Predictive Modeling Statistics Reporting 45

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Surrounding myself with a variety of chart types, all of which have been used in different reports and for different groups of people, helps me create brand new charts easily. Put your easiest-to-follow chart in your final presentation or report.

Visualization 105

Visualization Dashboards Testing Reporting 105

CIO Business Intelligence

APRIL 24, 2023

In the 2023 State of the CIO report , IT leaders said they were most concerned about finding qualified experts in advanced areas such as cybersecurity, blockchain, and data science and analytics. Internal talent is gold, and we’re making sure our current employees find places to grow and modernize their skill sets.”

IT 111

IT Strategy Insurance Software 111

Ms SQL Girl

MAY 19, 2016

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. SQL Server 2016 RC3 : this includes SQL Server R Services that you can install.

Visualization 40

Visualization Predictive Modeling Statistics Reporting 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

Smarten

SEPTEMBER 6, 2019

The traditional definition of data preparation describes an iterative process, typically executed by IT staff or analysts to extract and transform raw data so that the data can be used for discovery, analytics and reporting. Users can control the data elements, the volume and the timing of the analysis and reporting.

Analytics 51

Analytics IT Business Intelligence Testing 51

Smarten

JANUARY 3, 2019

In the past, business users would request reports and data analysis from an analyst or IT professional with defined report and analytical requirements and then wait for the results to be produced through data extraction, transformation and loading (ETL) or analytical expertise. How Can Citizen Analysts Improve Your Organization?

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

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. A modern BI platform supports IT-enabled analytic content development. What Happened to Tradition BI?

Analytics 40

Analytics Business Intelligence Metadata Statistics 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. 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

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, 2016. [3] Technical Report 1341, University of Montreal, 2009. CoRR, 2014. [2]

IT 68

IT Visualization Modeling Uncertainty 68

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. Office for National Statistics (2015) Gender Pay Gap. Parliament UK (2016) Unemployment by ethnic background House of Commons Briefing Paper 6385 . & Kamenou-Aigbekaen, N.

Data-driven 49

Data-driven Marketing Testing Insurance 49

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. – 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. That is the key.

Analytics 64

Analytics Measurement Data-driven Modeling 64

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

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

datapine

AUGUST 29, 2022

It was lately revised and updated in January 2016. He recognizes big online companies like Google or Facebook as the originators of the top big data tools and technologies, as well as data-driven management reporting and best practices. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

JULY 13, 2017

This is the simple view that greets you, outbreaks from 1890 to 2016 with vaccine development during that same time…. 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. Simple exploration.

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

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

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. Interrogate reported data and information with a healthy skepticism through thinking about the processes that generate the data. We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S.

Uncertainty 278

Uncertainty Testing Risk Reporting 278