CIO Business Intelligence

MARCH 8, 2023

Like other business leaders, Koinig also discovered the appeal of working on strategy. “I 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

IT 131

IT Consulting Insurance Technology 131

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. Further Reading.

Data-driven 49

Data-driven Marketing Testing Management 49

Smart Data Collective

AUGUST 5, 2020

They help to create strategies regarding the areas to expand their forces most efficiently. Specifically, they apply the examination of historical crime statistics and face-recognition technology to improve staff effectiveness. To make the above-mentioned reality, U.S. Police Departments are taking advantage of predictive algorithms.

Risk 107

Risk Statistics Machine Learning Big Data 107

CIO Business Intelligence

JUNE 14, 2022

The UK Central Data and Digital Office (CDDO) has unveiled the Transforming for a Digital Future strategy, which sets out a collective cross-government roadmap and vision for 2025. The mission also suggests the imminent launch of a new mobile application strategy. One Login for government. Better data to power decision making.

Strategy 96

Strategy IT Digital Transformation Data Processing 96

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 Here are some key strategies: 1. million compared to those with lower levels.

Cost-Benefit 107

Cost-Benefit Statistics ROI Measurement 107

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.

Analytics 40

Analytics IT Business Intelligence Visualization 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. 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

APRIL 17, 2017

An obvious requisite property of reconciliation is arithmetic coherence across the hierarchy (which is implicit in the sum-up-from-the-bottom possibility in the previous paragraph), but more sophisticated reconciliation may induce statistical stability of the constituent forecasts and improve forecast accuracy across the hierarchy.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

JULY 22, 2020

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

Experimentation 95

Experimentation Statistics Testing Strategy 95

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. Wes McKinney (2017). Aurélien Géron (2017). or Julia (winner of 2018 Wilkinson prize ), most people are focusing on Python for introduction to data science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Sisense

DECEMBER 3, 2019

Data is the New Oil” was coined by The Economist in May 2017 and became a mantra for organizations to drive new wealth from data. Business users can independently compare the forecast with actual values for the last period, view the respective weights of the statistical model, and change inputs to fine-tune their forecast.

Data Warehouse 90

Data Warehouse Analytics Digital Transformation Forecasting 90

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

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. Then rethink your hiring strategies w.r.t. It’s a quick way to clear the room. machine learning?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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 108

Machine Learning Deep Learning Modeling Interactive 108

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 27

Statistics Uncertainty Risk Marketing 27

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. How to Spot a Flawed Data Strategy.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. from 2017 , and this is one of the business analytics topics we will hear even more in 2020. BN by 2023, with a CAGR of 13.6%

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

JANUARY 25, 2021

Our data shows that Chef and Puppet peaked in 2017, when Kubernetes started an almost exponential growth spurt, as Figure 4 shows. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. AI, Machine Learning, and Data. The result?

Machine Learning 363

Machine Learning Software Testing Technology 363

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 124

Visualization Strategy Interactive Statistics 124

Data Science and Beyond

JANUARY 8, 2017

As of early 2017, fewer than half. My main problem with the Kissmetrics infographic is that it helps feed an illusion of understanding that is prevalent among those with no statistical training. The rise of data science increases the availability of statistical and scientific tools to small and large businesses. Why is that?

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100