IBM Big Data Hub

OCTOBER 16, 2023

Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported. Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications.

Data Processing 72

Data Processing Dashboards Metrics Software 72

BizAcuity

DECEMBER 31, 2019

With the limited time F1 drivers have to test these days, rookies have to learn things very quickly – and he has done it very well. White traveled with the team to Baltimore ahead of Sunday night’s game against the Ravens, Mike Reiss of reports. I grew up on St. The Rays have not named a starter. Price: $32.00.

Reporting 52

Reporting Testing Modeling IT 52

CIO Business Intelligence

NOVEMBER 7, 2022

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. An investigation found that only about 30% of the data in the system was actually correct.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

The Unofficial Google Data Science Blog

APRIL 23, 2024

Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. We use PrePost in most of our A/B tests, so we have pre-experiment metric measurements readily available that we can use as covariates in our models. Springer Netherlands, 2013. [16]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

One way to check $f_theta$ is to gather test data and check whether the model fits the relationship between training and test data. This tests the model’s ability to distinguish what is common for each item between the two data sets (the underlying $theta$) and what is different (the draw from $f_theta$).

KDD 40

KDD Testing Machine Learning Modeling 40

Occam's Razor

APRIL 29, 2013

A benchmark for you: In 2013 if 30% of your time, Ms./Mr. It is expensive from a systems/platforms/data processing/data reporting perspective. Focus on incredible behavior metrics like Pages/Visit, focus on the Visitor Flow report, obsess about Checkout Abandonment Rate, make love to Average Order Size. " Right-time.

Marketing 166

Marketing Metrics Advertising Measurement 166

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Howard Dresner

AUGUST 27, 2013

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). If you open your copy of Google/Adobe Analytics or CoreMetrics or Webtrekk you'll notice that every single report has a gigantic number of metrics in it. Look at the colors.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Domino Data Lab

JULY 9, 2019

A “data scientist” might build a multistage processing pipeline in Python, design a hypothesis test, perform a regression analysis over data samples with R, design and implement an algorithm in Hadoop, or communicate the results of our analyses to other members of the organization in a clear and concise fashion.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These reports are critical to making decisions. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Occam's Razor

JANUARY 31, 2017

That's the difference between someone who reports data to someone who drives change in behavior. In our case, every table, every slide that comes from a piece of data, has to pass the so what test. It is certainly the place where Analysis Ninjas are separated from Reporting Squirrels. We have it handy, we'll use it.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148