CIO Business Intelligence

JANUARY 8, 2024

But in this next cloud optimization phase, the airliner will focus on enhancing the security and performance of these workloads on the cloud, says Nair, who was hired by Cathay in 2011 as an application service manager, working his way up to his current position 10 years later.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

CIO Business Intelligence

MARCH 24, 2022

The CDO position dates to at least 2011 , when Russell Reynolds Associates began receiving calls looking for candidates. He wanted to lead digital transformation at the business by focusing on the operating model, everything to do with innovation, new product introduction (NPI), and fulfillment. Chief digital officer responsibilities.

Digital Transformation 107

Digital Transformation Strategy Technology Enterprise 107

The Data Visualisation Catalogue

JANUARY 24, 2022

Also, the data used in this article focuses on the dynamic changes in the field of ‘scientometrics’ from 2011 to 2015. Data Visualization by Alluvial Diagrams for Bibliometric Reports, Systematic Reviews and Meta-Analyses (2017). Instead, Yeung visualises two datsets: one on demographic data and another on a bibliometric report.

Visualization 77

Visualization Reporting Modeling IT 77

CIO Business Intelligence

JANUARY 23, 2023

times higher cash flow per employee and three in four job seekers and workers prefer diverse companies, according to data from a 2022 BuiltIn report. The report also found that diverse management increases revenue by 19% and gender-diverse companies report performing 15% higher financial returns than the industry median.

Strategy 98

Strategy IT Reporting Data Processing 98

Jedox

JUNE 24, 2021

In the marketing environment alone, the number of known marketing technology (MarTech) tools has grown from about 150 in 2011 to over 7000 in 2020. Being able to flexibly evaluate, analyze, plan and report is indispensable. Collaboration and integration are key. Collaboration and integration are key.

Sales 95

Sales Marketing Optimization Metrics 95

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . We live in a hybrid data world. In fact, the total amount of data is expected to nearly triple by 2025.

IT 108

IT Data Architecture Unstructured Data Big Data 108

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. And, as Deloitte put it: “Hybrid cloud is the de facto model”. . We live in a hybrid data world. In fact, the total amount of data is expected to nearly triple by 2025.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. I've gone through the five stages in the Kubler-Ross model. The Multi-Channel Funnels folder in Google Analytics contains the Top Conversion Paths report. From there, jump to my personal favorite report in MCF, Assisted Conversions.

Optimization 154

Optimization Reporting Experimentation Metrics 154

The Unofficial Google Data Science Blog

APRIL 17, 2017

Selection and aggregation of forecasts from an ensemble of models to produce a final forecast. Calendaring was therefore an explicit feature of models within our framework, and we made considerable investment in maintaining detailed regional calendars. Adjustments for effects: holiday, seasonality, and day-of-week effects.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. There are models everywhere. Now there are calls for model governance.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Occam's Razor

SEPTEMBER 13, 2016

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. Bonus #2: The Askers-Pukers Business Model. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. The term upskilling is more likely to become your byword.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

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. Another way to find the metric you want to change is to look at your business model. The business model also tells you what the metric should be.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " I'd postulated this rule in 2005, it is even more true in 2011. Doing anything on the web without a Web Analytics Measurement Model. Yet there they are.

Marketing 126

Marketing Measurement Metrics Testing 126

Occam's Razor

JUNE 4, 2018

Go to the Multi-Channel Funnels folder in Google analytics and look at two other yummy reports: Time Lag and Path Length. They report two dimensions of speed: How long does it take for a human to convert? Not easy, but your business model has to change to survive.). You should. The conversion headroom is massive. Add to Basket!

Strategy 124

Strategy Cost-Benefit Testing Sales 124

IBM Big Data Hub

NOVEMBER 20, 2023

According to a 2023 International Data Corporation (IDC) report (link resides outside ibm.com), NVMe was designed to speed data transfer to systems connected via a PCI express, a serial expansion bus that’s standard for connecting a computer to one or more peripheral devices. What is NVMe?

Internet of Things 70

Internet of Things Enterprise Technology IoT 70

Peter James Thomas

AUGUST 12, 2018

A clear parallel would be credit risk in Retail Banking, but something as simple as an estimate of potentially delinquent debtors is an inherently statistical figure (albeit one that may not depend on the output of a statistical model). A model may for example spit out a figure like £12.4 The model is not saying that £12.4

Metrics 49

Metrics Statistics Data Quality Measurement 49

IBM Big Data Hub

NOVEMBER 13, 2023

According to a 2023 International Data Corporation (IDC) report (link resides outside ibm.com), NVMe was designed to speed data transfer to systems connected via a PCI express, a serial expansion bus that’s standard for connecting a computer to one or more peripheral devices. Storage capacity: NVMe and SATA M.2 Data centers: NVMe M.2

Internet of Things 78

Internet of Things Technology Enterprise Marketing 78

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. If you’ve enjoyed the efficiency of rich snippets, you’ve enjoyed the riches schema.org ( based on RDF ) brings to the world of search since 2011.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. What’s been the impact of using ML models on culture and organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

Rita Sallam

AUGUST 28, 2022

At a global level the number of people without reliable access to electricity spiked in 2011. Some of the key insights they found: Access to electricity has improved around the world in the last 20 years. That year over 112 million people in India alone suddenly found themselves without a reliable power source. LTI Lumin by Fosfor.

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

The Unofficial Google Data Science Blog

MAY 31, 2016

On the other hand, for the models that we use, the standard error of the iROAS estimate is inversely proportional to the ad spend difference in the treatment group. The model regresses the outcomes $y_{1,i}$ on the incremental change in ad spend $delta_i$. The noisier the data, the higher the standard error. For example, $beta_2 = 3.1$

Advertising 42

Advertising Testing Sales Statistics 42

datapine

AUGUST 29, 2022

He founded the project Apache Storm in 2011, which turned to be “one of the world’s most popular stream processors and has been adopted by many of the world’s largest companies, including Yahoo!, Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. The author also introduces the concept of “analytics 3.0”

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

FEBRUARY 22, 2010

Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? For example, with Alexa , you can report on traffic statistics (such as rank and page views), upstream (where your traffic comes from) and downstream (where people go after visiting your site) statistics, and key-words driving traffic to a site.

Metrics 123

Metrics Advertising Reporting Software 123

Sisense

MAY 4, 2020

“Soon, data itself will become a primary product for nearly every business, and data analytics (some use the loose term “AI”) will form the core of every company’s business model. Nearly every product on the market will be forced down one of two paths, becoming either ‘smart’ (i.e., analytics- and data-driven) or obsolete. ”.

Big Data 78

Big Data Data-driven Snapshot Unstructured Data 78

Occam's Razor

JUNE 28, 2011

Yet our heroic efforts to report the aforementioned sexy metrics lead to little business action. Perhaps your client did not provide you with the all important Web Analytics Measurement Model. You: The person responsible for "providing data" / "analyzing metrics" / "reporting." That was success?

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

IBM Big Data Hub

FEBRUARY 8, 2024

To track the results of such efforts, including energy efficiency and emissions reductions, GPT Group deploys an SaaS tool that consolidates enterprise ESG data for analysis and reporting. Through pumped storage hydropower, an energy storage model dating back to the 1890s, water flows between two water reservoirs at different elevations.

Manufacturing 78

Manufacturing Reporting Data-driven Technology 78

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Alation

FEBRUARY 20, 2020

This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. Her report states that organizations relying on manual processes to provision, manage, and govern data simply can’t scale. According to the report, “Alation started the MLDC trend.“[6].

Machine Learning 52

Machine Learning Marketing Reporting ROI 52

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Selection bias and survivorship bias When we slice a population by some factor or combination of factors and compute a metric over the new sub-populations, we are implicitly specifying a model (the metric is a function of the slicing factors) and testing a hypothesis.

Experimentation 61

Experimentation Testing Statistics Metrics 61

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The serverless model was also compelling because we did not have to pay for server instances nor license fees per reader.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

Edwin Chen

JANUARY 7, 2013

— Sohaib Athar (@ReallyVirtual) May 1, 2011. We’ll describe a novel real-time human computation engine we built that allows us to find search queries as soon as they’re trending, send these queries to real humans to be judged, and finally incorporate these human annotations into our backend models.

Statistics 73

Statistics Machine Learning Advertising Metadata 73

Smart Data Collective

MARCH 16, 2020

In October 2012, Bonnie Feldman and other colleagues at Fieldman 360° published the report “Big Data Healthcare Hype and Hope”[3] where they explore, quite accurately, how big data is becoming a growing force for change in the healthcare landscape. The focus on single payer healthcare makes his point even more salient.

Deep Learning 78

Deep Learning Unstructured Data Cost-Benefit Big Data 78

O'Reilly on Data

MAY 11, 2020

Not all models are created equal, however: they operate on different principles, and impact us as individuals and communities in different ways. To understand the menagerie of models that are fundamentally altering our individual and shared realities, we need to build a typology, a classification of their effects and impacts.

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190