Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour. Where does it stand today?

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

Ontotext

MAY 19, 2021

Expensive paywalls used by publishers, restrictive usage policies by scientific literature sources, a lack of consistency in the formatting and data locked away by proprietary software have all had detrimental effects on the dissemination of scientific knowledge. More rigour and analysis leads to better science.

Publishing 72

Publishing Measurement Data-driven Metrics 72

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. I asked attendees: How often do you think about data ethics? What does data ethics mean to you?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

MAY 28, 2022

There seems to be a new database for every use case, and data is scattered across many technology silos. Developers who build the real-time experiences that customers love need a tech stack that lets them access data quickly and easily. With an open data stack that just works. Demand for apps isn’t going to slow down.

IT 59

IT Data-driven Data Lake Enterprise 59

Peter James Thomas

MARCH 23, 2020

When I occasionally re-read articles I penned back in 2009 or 210, I’m often struck that – no matter how many things have undeniably changed over the intervening years in the data arena – there are some seemingly eternal verities. To provide some more colour, let’s go back to 2007 / 2008. Then I like a challenge.

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

CIO Business Intelligence

JUNE 12, 2023

Difference between COBIT 5 and COBIT 2019 COBIT 5 was released in 2012, but by 2019 a lot of changes were introduced around compliance and regulation standards in the industry, most notably the adoption of the European GDPR framework for data protection laws. COBIT 4 was released in 2005, followed by the refreshed COBIT 4.1

Risk Management 94

Risk Management Strategy Digital Transformation Enterprise 94

Occam's Razor

AUGUST 22, 2011

Be data driven?" Six Rules For Creating A Data Driven Boss! Be data driven?" Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. The Ultimate Web Analytics Data Reconciliation Checklist.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. It is great that we have big data.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. Cloud washing is storing data on the cloud for use over the internet. Storing data is extremely expensive even with VMs during this time. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

The Unofficial Google Data Science Blog

JUNE 30, 2016

By IVAN DIAZ & JOSEPH KELLY Determining the causal effects of an action—which we call treatment—on an outcome of interest is at the heart of many data analysis efforts. To do this, you have a data set at the person level containing, among other variables, an indicator of ad exposure, and whether the person bought the truck.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. It helps you to amplify what’s proven to work, throw away what isn’t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

SEPTEMBER 19, 2011

It is also important to point out that I am keeping the data simple purely to keep communication of the story straightforward. Here's the outcomes data for the control version of the experiment. People in the test regions will participate in our hypothesis testing. For people in the control region, nothing changes. None of that.

Measurement 119

Measurement Advertising Testing Marketing 119

CIO Business Intelligence

DECEMBER 18, 2023

Thanks to this injection of capital, which allowed it to improve its squad through new hires, Hoffenheim finally reached the Germany’s first division in the 2007-2008 season. Artificial Intelligence, Business Intelligence, Cloud Management, Data Management, Digital Transformation, IT Leadership, SAP

Sales 52

Sales Finance Optimization Software 52

CIO Business Intelligence

DECEMBER 20, 2023

Organizations face persistent challenges in achieving, and more importantly, sustaining Payment Card Industry Data Security Standard (PCI DSS) compliance. This step lays the foundation for a targeted and purpose-driven approach, ensuring that efforts are aligned with the overarching objective of safeguarding sensitive data.

Optimization 52

Optimization Data-driven Risk Management Management 52

Decision Management Solutions

AUGUST 18, 2020

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. Write different rules for each category.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. C-level executives and professionals alike must learn to speak a new language - data. The benefit of speaking data, a.k.a. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

CIO Business Intelligence

DECEMBER 13, 2022

Here, I’ll give you an overview of Cassandra, along with a few reasons why this database might just be the right way to persist data at your organization and ensure your data and the apps that your developers build on it are infinitely scalable, secure, and fast. Split the data among multiple machines and create a distributed system.

Broadcasting 59

Broadcasting IoT Data-driven Software 59

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. Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

JUNE 7, 2023

Recognizing it — and even capitalizing on it — requires data. Obviously, your data will tell you. Fortunately, you likely have enough data available to make decisions, unlike during the Great Recession. The challenge, however, is ensuring you can find the data you need, it’s the correct data, and you fully understand the data.

Uncertainty 52

Uncertainty Data Lake Risk Data-driven 52

datapine

DECEMBER 28, 2021

Statistics are infamous for their ability and potential to exist as misleading and bad data. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Here they speak about two use-cases in which COVID-19 data was used in a misleading way.

Statistics 363

Statistics Advertising Visualization Data mining 363

Cloudera

DECEMBER 11, 2017

While supporting data is still being collected, there is a clear relationship between open civic space and the health of societies that is already becoming obvious from the initial findings of Civicus Monitor. . Challenges to the effective use of data include questions of data ethics, privacy, governance, and cybersecurity.

Strategy 40

Strategy Data-driven Reporting Data Processing 40

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. The following diagram illustrates this architecture.

Interactive 93

Interactive Metadata Data Warehouse Data-driven 93

bridgei2i

OCTOBER 27, 2020

Using Data Science to Power Demand Generation in the Digital Focused Economy. As the conversation moves towards digital, the new customer journeys create large volumes of data throughout the loop. Marketers need an additional set of skills to skim through the data and provide them with actionable data-driven decision making support.

Data Science 75

Data Science Sales Marketing Data-driven 75

Juice Analytics

OCTOBER 30, 2018

“Purpose-built apps” “Low-code app development” “hpaPaaS” “Citizen Data Scientists” “Data monetization” Witness the cloud of new buzzwords floating in the air. Collectively, these phrases are a reaction to the long-standing challenge of getting more data into more hands.

IT 54

IT Data Lake Big Data Data-driven 54