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

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

JANUARY 13, 2021

Big data has started to change the world in a lot of ways. quintillion bytes of data every single day. As scalability with big data accelerates, consumers and organizations around the world are starting to witness its impact. Every aspect of our lives has been shaped by big data to some degree.

Big Data 121

Big Data Machine Learning Data-driven Manufacturing 121

CIO Business Intelligence

JANUARY 23, 2023

And, of course, they can check out ChatGPT, the interactive text generator that has been making waves since its release in November 2022. the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

JUNE 21, 2022

Amazon Cases is expected to aid agents in tracking, collaborating and resolving customer cases faster, especially the ones that require multiple interactions and follow-up tasks, the company said. Lack of clarity in product placement.

Management 115

Management Machine Learning Interactive Marketing 115

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. Data limitations in Microsoft Excel. 25 and Oct.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

MAY 18, 2023

This step-by-step guide to designing a high-functioning organization helps you understand four team types and interaction patterns and helps you to type and build it. “It By defining team types, their fundamental interactions, and the science behind them, you learn how to better model your organizations according to these definitions.

IT 130

IT Recreation/Entertainment Software Technology 130

John Wheeler

MARCH 6, 2019

That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks. Unfortunately, in my thousands of client interactions, end-user views of GRC technology effectiveness are not compatible with this need for agility.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Sisense

NOVEMBER 26, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. We live in a world of data. Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs? Everything about data storage has changed since then.

Digital Transformation 93

Digital Transformation Data-driven ROI Software 93

Sisense

JANUARY 14, 2021

Especially when dealing with business data, trust in the figures is an essential element of every transaction. A reputation for stability and accuracy is critical in the fintech industry, dealing as it does with sensitive, high-impact data and security challenges. For analytics teams, trust is hard to gain and easy to lose.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

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

CIO Business Intelligence

JUNE 27, 2024

Since the initiative’s launch in 2017, Vulcan has deployed myriad proprietary technology solutions that serve up real-time market insights, thereby improving experiences for sales reps, customers, and the truckers responsible for transporting goods to job sites. And so it did. To this end, Vulcan leaders did two things.

IT 98

IT Digital Transformation Sales Data-driven 98

Jen Stirrup

APRIL 2, 2019

I thought I’d share how we started to apply marketing theory, practice, and insights from data. Research evidence has shown that consumers interact with advertising in complex ways, especially since we have such short attention spans (Weilbacher, 2003). The secret is the data. to 3.9% (UK Government, 2017).

Marketing 61

Marketing Advertising Data-driven Strategy 61

Smart Data Collective

FEBRUARY 11, 2021

Data analytics is the linchpin of digital business strategies in the 21st Century. Sensible companies need to know how to properly utilize data analytics to take full advantage of all of their digital resources. The Intersection Between Data Analytics and Digital Asset Management.

Marketing 109

Marketing Data Analytics Management Analytics 109

CIO Business Intelligence

MAY 6, 2022

Things can happen in an airline very quickly and when that happens, it’s human nature to want speak to somebody directly — a face-to-face interaction with somebody who can help you,” Birnbaum says. The data resides in United’s reservation system on several databases, including Amazon S3 and Dynamo. You see it at the airport.

Uncertainty 98

Uncertainty Testing Metadata Digital Transformation 98

Jet Global

DECEMBER 2, 2020

A common complaint of executive level management is “I know that we track a lot of data in our ERP system, but for some reason, we have a lot of difficulty gaining visibility into that information.”. Let’s look at a few ways in which clear visibility to accounting data translates to higher revenue and greater profitability.

Sales 98

Sales Finance Reporting Manufacturing 98

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

Jet Global

JULY 29, 2020

For users of Oracle E-Business Suite (EBS), data access is about to get a bit more difficult now that the company has phased out the Oracle Discoverer product. Note that extended support for Oracle Discoverer ended in 2017. Interactive dashboards that provide reports with a rich variety of visualization tools.

Reporting 98

Reporting Cost-Benefit Consulting Finance 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

IBM Big Data Hub

FEBRUARY 20, 2024

Climate modeling consists of using datasets and complex calculations to represent the interactions between major climate system components—namely, the atmosphere, land surface, oceans and sea ice. 12 Ongoing sea level rises may be driven by instability and disintegration of ice shelves and ice sheets in Antarctica and Greenland.

Forecasting 113

Forecasting Modeling Reporting Risk 113

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. More efficient, more scalable systems are going to be able to handle more data. I’m also seeing more of a centralization of data through the cloud technology.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Alation

FEBRUARY 20, 2020

Born into a world where information often seems more overwhelming than helpful, Aaron was inspired, along with Venky Ganti, Feng Niu and myself, to build a collaborative software platform that helps people find, understand and take advantage of data to make better decisions. Today, we call this data literacy. A human-centric approach.

Machine Learning 52

Machine Learning Interactive Data-driven Software 52

IBM Big Data Hub

MARCH 8, 2024

In the constantly shifting, rapidly expanding ecommerce ecosystem, businesses must think creatively about their digital strategies and how best to create dynamic, interactive shopping experiences that improve customer relationships. Just six years after it emerged in 2016, the industry was projected to bring in USD 647 billion in the country.

Consulting 79

Consulting Marketing Sales Data Processing 79

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

IBM Big Data Hub

NOVEMBER 2, 2023

This allows applications to run quickly in any environment—whether on- or off-premises—from a desktop, private data center or public cloud. Borg’s large-scale cluster management system essentially acts as a central brain for running containerized workloads across its data centers.

Software 100

Software Management Enterprise Data Processing 100

AWS Big Data

JUNE 6, 2023

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). Additionally, you can use the Data on EKS blueprint to deploy the entire infrastructure using Terraform templates.

Optimization 96

Optimization Data Lake Cost-Benefit Management 96

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

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

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

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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

O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however.

Deep Learning 356

Deep Learning Machine Learning Data-driven Modeling 356

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. When you analyze the data in Google Analytics (or Adobe or WebTrends or Webtrekk), this data will be in your Campaigns folder waiting for you to some pretty magnificent analysis. Tag your mobile website. Everything.

Metrics 143

Metrics Reporting Analytics Marketing 143

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

CIO Business Intelligence

SEPTEMBER 2, 2022

From their implementations in January 2018, PSD2 and UK Open Banking regulations have spread around the globe, with regulators in many countries implementing some form or another of rules mandating that banks open, via APIs, customer transaction data, payment initiation, and other banking data and functions.

B2B 98

B2B Data-driven Finance Sales 98

CIO Business Intelligence

AUGUST 31, 2022

From their implementations in January 2018, PSD2 and UK Open Banking regulations have spread around the globe, with regulators in many countries implementing some form or another of rules mandating that banks open, via APIs, customer transaction data, payment initiation, and other banking data and functions.

B2B 98

B2B Data-driven Finance Sales 98