Smart Data Collective

MARCH 28, 2019

According to Financial Regulation News, banks lost $2.2bn to fraud throughout 2016, as revealed by the most recently collated statistics. Fraud remains a major risk for banks, and is only set to increase as people become more open with their data.

Big Data 104

Big Data Statistics Risk Management 104

Smart Data Collective

NOVEMBER 11, 2020

A study was held in 2016 that saw Big Data come into the scene. Some companies provide golfers with smartwatches to track every shot hit and their location and also help them to get all their statistics in real-time. Statistical analysis can help in creating new ways to play, train, and watch the sport with advanced details.

Big Data 88

Big Data Scorecard Statistics Cost-Benefit 88

Smart Data Collective

APRIL 13, 2021

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. Based on figures from Statista , the volume of data breaches increased from 2005 to 2008, then dropped in 2009 and rose again in 2010 until it dropped again in 2011.

Testing 130

Testing Behavioral Analytics Data-driven Big Data 130

Smart Data Collective

MARCH 17, 2020

Data Science is a field that extracts useful information from loads of structured and unstructured data using algorithms, statistics, and programming. By 2016, everyone wanted to hire a data scientist, and everyone wanted to be a data scientist. Its primary focus is to use user-generated data to good use. Sexiest Job of 21 st Century.

Data Science 98

Data Science Big Data Machine Learning Statistics 98

Peter James Thomas

AUGUST 22, 2018

While the history is not certain, most authorities credit the pioneer of graphical statistics, William Playfair , with creating this icon, which appeared in his Statistical Breviary, first published in 1801 [2]. The left-hand Pie Chart is smaller and so we assume that annual sales have increased between 2016 and 2017.

Sales 73

Sales Statistics IT Publishing 73

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. We identified the trend that fans were eager to consume this data and know more about competitions.”

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

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

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. For example, in October 2016 Wells Fargo and The Commonwealth Bank of Australia made history by using blockchain to facilitate paying for a shipment of cotton from the U.S.

Technology 279

Technology Internet of Things IT IoT 279

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

CIO Business Intelligence

MARCH 22, 2022

And the pipeline doesn’t suggest a near-term correction, as only 19% of computer science degrees were awarded to women in 2016, down from 27% in 1997. Women in tech statistics: The hard truths of an uphill battle. Gender gapped: The state of gender diversity in IT. Women IT leaders bring fresh perspectives to corporate boards.

Software 145

Software Technology Statistics IT 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. Among these, Spain, the United Kingdom, and the United States passed the highest number of AI-related bills in 2021 adopting three each.

Risk 111

Risk Modeling IT Risk Management 111

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

FEBRUARY 19, 2024

They point to statistics that highlight challenges in IT workforce recruitment and diversity. NCDIT and many other employers in recent years have become more intentional in their efforts to increase the number of workers coming into the IT profession and, more specifically, the diversity of that pipeline.

IT 137

IT Consulting Reporting Software 137

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. Current Ratio. Let me draw that out for you.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

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

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. “Deliveries were made in phases, and complexity increased with each phase,” Gopalan says.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Rita Sallam

SEPTEMBER 11, 2020

Rather than just using some solely fun data like football/ soccer statistics – go Mo Salah! In 2016, life expectancy in the United States (78.5) The United States grew the least at only 2% from 2000 to 2016. We try use the Bake-Offs as a platform for data for good. – this year, we used population health data.

Statistics 73

Statistics Machine Learning Sales Data Science 73

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

CIO Business Intelligence

FEBRUARY 28, 2023

After we opened the museum, the director and curatorial staff were talking about how to how to reach even more people who wouldn’t be able to come to the museum and experience it,” says Jill Roberts, program manager of the Searchable Museum at the Office of Digital Strategy and Engagement (ODSE).

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

CIO Business Intelligence

APRIL 24, 2023

in January according to analysis of US Bureau of Labor statistics by CompTIA — finding seasoned tech veterans to fill posts such as full-stack developers is next to impossible, according to John Hill, senior vice president and chief digital information officer for MSC Industrial Supply Co. “The

IT 111

IT Strategy Insurance Software 111

IBM Big Data Hub

SEPTEMBER 20, 2022

Back in 2016, IBM formed a partnership with ESPN. Today, those insights take the form of two features: Trade Analyzer with Watson , which uses AI to analyze player statistics and media commentary to help team managers understand the value of a potential trade. And no, it’s not because the Giants and IBM are both nicknamed “Big Blue.”

Broadcasting 52

Broadcasting Statistics Consulting Data-driven 52

Ontotext

MAY 26, 2021

Our first data source says that on June 13, 2016 Microsoft bought LinkedIn , while the second – that Microsoft bought LinkedIn for $28.1 Beyond training, each and every AI system, be it based on symbolic rules or statistical models, has to be evaluated, in the same way children take exams to graduate.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

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

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

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).

Dashboards 75

Dashboards Predictive Modeling Visualization Modeling 75

Depict Data Studio

APRIL 10, 2023

and implications of findings) than in statistical significance. Use the Data Visualization Checklist Stephanie Evergreen and I designed the Data Visualization Checklist in 2014 and updated it in 2016. Laypeople are often more interested in practical significance (the “so what?” You can use the checklist to help you assess your drafts.

Visualization 105

Visualization Dashboards Testing Reporting 105

Smarten

SEPTEMBER 6, 2019

SSDP tools allow users to compile and analyze data and test theories and prototypes to support dynamic decisions and planning on their own so the business does not lose time or competitive advantage while waiting for reports or analysis from a central source.

Analytics 51

Analytics IT Business Intelligence Testing 51

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.

Modeling 128

Modeling Reporting Strategy Consulting 128

Smarten

JANUARY 3, 2019

Business users can work with self-serve advanced data discovery and advanced analytical tools using a drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. ’ Clearly, Citizen Analysts are here to stay!

Business Intelligence 40

Business Intelligence Statistics Interactive Data Science 40

Decision Management Solutions

MARCH 31, 2023

Principle 15 (Business Alignment) is directly supported in DMN as a business context best practice aligning both to the goals and KPIs for a decision as well as capturing the decision properties such as the business meaning, connections with business entities, statistics, process context, governance, and data context. [1]

Modeling 52

Modeling Statistics Management Technology 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

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. 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. linear regression, trees) can be too rigid in their functional forms. Pfeifer, J., Voevodski, K., Mangylov, A., Moczydlowski, W. Pfeifer, J.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

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

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] CoRR, 2014. [2] 2] Shrikumar, Avanti, Greenside, Peyton, Shcherbina, Anna, and Kundaje, Anshul.

IT 68

IT Visualization Modeling Uncertainty 68

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. A modern BI platform supports IT-enabled analytic content development. Again, check out the Critical Capabilities for BI and Analytic Platforms for how each vendor compares.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Jen Stirrup

OCTOBER 21, 2019

Office for National Statistics (2015) Gender Pay Gap. Parliament UK (2016) Unemployment by ethnic background House of Commons Briefing Paper 6385 . . & Kamenou-Aigbekaen, N. 2017) “Ethnicity and low wage traps: favouritism, homosocial reproduction and economic marginalization”, Work, employment and society online.

Data-driven 49

Data-driven Marketing Testing Insurance 49

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