datapine

MAY 11, 2022

Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 105

B2B Contextual Data Deep Learning IoT 105

Smart Data Collective

AUGUST 9, 2022

The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Big data technology is becoming more important in the field of cybersecurity. As the demand for cybersecurity solutions grows, the need for data-savvy experts will rise accordingly. Categorizing data.

Big Data 126

Big Data Technology Testing Cost-Benefit 126

CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6

Modeling 116

Modeling Management IT Metrics 116

CIO Business Intelligence

DECEMBER 7, 2023

And the key to success is having data that can be analyzed for actionable insights. But until recently , gathering accurate and timely data from multiple sources had been challenging for the local island governments because of a lack of equipment, process and format standardization, technology, and human resources.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

Cloudera

MARCH 30, 2022

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The ongoing challenges of the data-driven business model.

Data-driven 120

Data-driven Marketing Measurement Modeling 120

CIO Business Intelligence

MAY 18, 2023

The Unicorn Project: A Novel About Developers, Digital Disruption, and Thriving in the Age of Data (IT Revolution Press, 2019) tells the story of Maxine, a senior lead developer, as she tries to survive in a heartless bureaucracy overrun with paperwork and committees. Martin’s Press, 2017) by Jocko Willink and Leif Babin.

IT 130

IT Recreation/Entertainment Software Technology 130

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. But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means.

IT 348

IT Modeling Testing Risk 348

Jet Global

OCTOBER 8, 2020

Most operational finance activities are driven by the month end and ledger close, typically involving a web of steps including transaction processing, reconciliation, journal entry capture, and financial statement preparation. Tip 3: Make decisions with operational data. Tip 1: Overcoming month-end inefficiencies.

Finance 98

Finance Reporting Forecasting Metrics 98

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless. 1988), E-state data (Hall et al., Merging the two results in a completely balanced dataset (50:50). Their tests are performed using C4.5-generated

Machine Learning 136

Machine Learning Metrics Data mining Data Science 136

Juice Analytics

APRIL 21, 2019

Often customer data products or applications go awry because of poor requirements. While customers can describe a billing workflow or a mobile app feature, explaining how data should be used is less clear. In 2017 I had the opportunity to work on an insurance industry project for the first time. Does the end user trust the data?

Insurance 73

Insurance Dashboards Metrics Reporting 73

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. McKinsey & Company’s 2022 Global Survey on AI says , “AI adoption globally is 2.5x

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

BizAcuity

MARCH 25, 2019

This is resulting in the largest event management companies across this sector spending more than $43 billion on revenue analytics – which is a multi-dimensional and evolving field harnessing statistics, Artificial Intelligence and other tools to identify meaningful patterns in large data sets. Image Source: [link].

Analytics 74

Analytics Dashboards Sales Marketing 74

IBM Big Data Hub

FEBRUARY 20, 2024

These proactive measures are made possible by evolving technologies designed to help people adapt to the effects of climate change today. 5 The Global Disaster Preparedness Center recommends policymakers and others adopt a range of measures to help their regions adapt to higher heat. Global Change Research Program, 2017.

Forecasting 113

Forecasting Modeling Reporting Risk 113

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 99

Risk Marketing Risk Management Data-driven 99

CIO Business Intelligence

FEBRUARY 6, 2023

One of the first things Patrick Thompson (pictured) did on becoming chief information and digital transformation officer of specialty chemicals manufacturer Albemarle in 2017 was to introduce an annual survey to gauge employee attitudes toward services IT staff provides. They’re motivated. The playbook is there. It’s all in the execution.”

Digital Transformation 98

Digital Transformation Manufacturing Software Strategy 98

CIO Business Intelligence

MARCH 14, 2024

As businesses digitally transform, technology is increasingly integrated into every activity, and the CIO is becoming more of a catalyst for data-driven value creation through analytics, new AI model training, software development, automation, vendor engagement, and more. The first step in this transformation was organizational.

Digital Transformation 92

Digital Transformation Sales Forecasting Data Lake 92

Peter James Thomas

APRIL 9, 2019

As in 2017 , I have failed miserably in my original objective of posting this early in January. This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. Data Visualisation.

Data-driven 49

Data-driven Statistics Data Science Big Data 49

CIO Business Intelligence

MAY 2, 2024

Yet, these fundamental work activities expose organizations to a wide range of security risks, like data leaks, identity and password theft, malicious browser extensions, phishing sites and more. Today’s modern enterprise employees rely heavily on browser-based services and SaaS applications.

IT 59

IT Risk Enterprise Data-driven 59

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Data Insight

APRIL 15, 2019

“ It’s no coincidence that Google, Amazon and some of the most valuable companies in the world today were built not on product but on data from the outset.” We are now living in a world that is increasingly driven by data thanks to the emergence of digital and cloud-based technologies and the proliferation of social mobility.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The evolution from Data Governance 1.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Metadata 64

Metadata Data Governance Dashboards Software 64

Peter James Thomas

AUGUST 12, 2018

These normally appear at the end of an article, but it seemed to make sense to start with them in this case: Recently I published Building Momentum – How to begin becoming a Data-driven Organisation. A number of factors can play into the accuracy of data capture. Honesty of Data that is captured. Timing issues with Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Cloudera

DECEMBER 11, 2017

And, while measuring the global progress on human rights is still a work in progress, assessments at the country level confirm what we see daily on the news. Sadly, more than 80 years later his statement is as relevant today as it was in 1946. 2) Funding towards human rights causes. 2) Funding towards human rights causes.

Data-driven 40

Data-driven Strategy Reporting Data Processing 40

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MAY 2, 2017

The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model.

Metrics 143

Metrics Key Performance Indicator B2B Measurement 143

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Framing the Opportunity. It will save you hours and hours of time, effort and focus. Everything.

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

FEBRUARY 28, 2017

A story where data is the hero, followed by two mind-challenging business-shifting ideas. The qualitative surveys measuring unhappiness went down even more than before. You are what you measure. Bonus: Remember, you can measure profit everyday in Google Analytics! ]. The success metric, ACT, did go down.

Key Performance Indicator 107

Key Performance Indicator Metrics Measurement Advertising 107

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Jet Global

MARCH 2, 2022

ESG reporting is the process of disclosing data by a company or organization about its environmental, social, and governance impacts. Privacy and data security. As such, there are no formal requirements that require companies and organizations to report and provide their ESG data. What is ESG Reporting? Social opportunity.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

AWS Big Data

NOVEMBER 13, 2024

This second post of a two-part series that details how Volkswagen Autoeuropa , a Volkswagen Group plant, together with AWS, built a data solution with a robust governance framework using Amazon DataZone to become a data-driven factory. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

AWS Big Data

OCTOBER 31, 2024

Volkswagen Autoeuropa aims to become a data-driven factory and has been using cutting-edge technologies to enhance digitalization efforts. In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111

CIO Business Intelligence

DECEMBER 18, 2024

Its a complex neural network, powered by algorithms that interact with an exponential amount of data, mimicking the human brains learning process. Or Alex Honnold, who free solo climbed El Capitan in Yosemite in June 2017 and lived to tell us about it. Continuous learning was one of the key performance metrics we were measured on.

Deep Learning 98

Deep Learning Interactive Reporting Digital Transformation 98