Smarten

NOVEMBER 19, 2018

Predictive analytics employs various analytical and modeling techniques, leveraging historical data and business results to identify crucial relationships, opportunities and risks so that business managers can more accurately predict growth, and competitive and market changes and identify trends and patterns.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

O'Reilly on Data

FEBRUARY 18, 2020

Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform. After several years of steady climbing—and after outstripping Java in 2017—Python-related interactions now comprise almost 10% of all usage. Not necessarily: Java-related searches increased by 5% between 2017 and 2018. Coincidence?

Data-driven 342

Data-driven Software Statistics Marketing 342

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

CIO Business Intelligence

MARCH 8, 2023

She left that position — and Austria — in 2017 to become the CIO for the Wisconsin Department of Natural Resources. But being a woman in professions where statistically women are underrepresented hasn’t been an issue for Wood. “I She took a position as a senior IT program manager, then global IT director and next delegate CIO.

IT 131

IT Consulting Insurance Technology 131

Sisense

MARCH 25, 2019

Here’s a statistic to start with: in 2017, Linux was running 90 percent of the public cloud workload. Other fun Linux stats include an 82% market share for smartphones (hello, Android?) Other fun Linux stats include an 82% market share for smartphones (hello, Android?), The Cloud (and Enterprises).

Enterprise 71

Enterprise Software IoT Cost-Benefit 71

Smarten

NOVEMBER 22, 2017

Your business users can perform advanced analytics, using sophisticated tools in an easy-to-use, drag and drop interface, with no advanced skill requirement for statistical analysis, algorithms or technical knowledge. Original Post: What is Advanced Analytics and How Can it Advance Your Organization?

Analytics 40

Analytics IT Business Intelligence Visualization 40

CIO Business Intelligence

MAY 27, 2024

The path to securing the boardroom’s buy-in is more complex than simply having the right statistics and studies on paper,” says Dara Warn, the CEO of INE Security , a global cybersecurity training and certification provider. “To Leverage Data and Statistics Presenting data from reputable sources can lend credibility to the argument.

Cost-Benefit 107

Cost-Benefit Statistics ROI Measurement 107

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. For businesses looking to improve their consumer marketing communications, finding relevant images in real-time is a time-consuming venture. The solution?

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Challenges for Transparency ”. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

CIO Business Intelligence

JUNE 14, 2022

Departments with upskilling over 90% of senior civil servants on digital and data essentials, training over 90% DDaT professionals on DDaT-related training once a year and – perhaps crucially given the current recruitment market – to reduce digital and data vacancies to under 10% of the total DDaT headcount. Pay and Notify.

Strategy 96

Strategy IT Digital Transformation Data Processing 96

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

Peter James Thomas

AUGUST 12, 2018

It is entirely feasible that some market event occurs this year ( for example the entrance or exit of a competitor, or the launch of a new competitor product) which would render prior year figures a poor guide. Integrity of statistical estimates based on Data. Using Q4 prior year as is would not reflect this. million ± £0.5

Metrics 49

Metrics Statistics Data Quality Measurement 49

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. on average.

Statistics 27

Statistics Uncertainty Risk Marketing 27

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. What drives the valuation of teams more: attendance or the local real estate market? Just because an NBA player scores more points than another player, it doesn’t necessarily mean [they] add more value to the team.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Smarten

AUGUST 9, 2017

You may also have read the recent Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics’ , Published 27 July 2017, by Rita L. Users can perform advanced analytics in an easy-to-use, drag and drop interface without knowledge of statistical analysis or algorithms.

Analytics 40

Analytics IT Statistics ROI 40

Domino Data Lab

AUGUST 8, 2019

following a breakthrough paper or two, plus changes in market microstructure). Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

O'Reilly on Data

MARCH 23, 2023

All of these models are based on a technology called Transformers , which was invented by Google Research and Google Brain in 2017. It’s commonly believed that the more parameters, the better; that’s at least a good story for marketing to tell. And it can look up an author and make statistical observations about their interests.

IT 271

IT Modeling Testing Risk 271

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

Peter James Thomas

APRIL 9, 2019

As in 2017 , I have failed miserably in my original objective of posting this early in January. Overall the total number of articles and new pages I published exceeded 2017’s figures to claim the second spot behind 2009; our first year in business. Statistics & Data Science. Statistics & Data Science.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Smarten

MAY 11, 2017

Plug n’ Play Predictive Analysis enables business users to explore power of predictive analytics without indepth understanding of statistics and data science. Gartner analysts have recently predicted the future of Advanced Analytics and the business intelligence market.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

datapine

NOVEMBER 27, 2019

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. Airlines use it to decide how many tickets to sell at each price for a flight.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JANUARY 25, 2021

Even small restaurants and farm markets were adding online ordering features to their websites. Our data shows that Chef and Puppet peaked in 2017, when Kubernetes started an almost exponential growth spurt, as Figure 4 shows. When you dominate a market the way AWS dominates the cloud, there’s nowhere to go but down.

Machine Learning 363

Machine Learning Software Testing Technology 363

Data Science and Beyond

JANUARY 8, 2017

As of early 2017, fewer than half. And how can you calculate your customer lifetime value correctly, avoiding the traps set up by clever search engine marketers? Second, given Google’s near-monopoly of the search market, if a page ranks highly for popular search terms, it is likely to become more popular and be seen as credible.

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

Occam's Razor

JULY 13, 2017

Ex: Six Visual Solutions To Complex Digital Marketing/Analytics Challenges. Consider this, conversion rate could go up by a statistically significant percentage… While revenue actually goes down. Their Statistical Bulletin 2017 has a lovely collection of graphs and charts that we all use in some shape or form.

Visualization 124

Visualization Strategy Interactive Statistics 124