IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 79

Measurement Metrics Reporting Strategy 79

O'Reilly on Data

APRIL 23, 2024

They published the original Transformer paper (not quite coincidentally called “Attention is All You Need”) in 2017, and released BERT , an open source implementation, in late 2018, but they never went so far as to build and release anything like OpenAI’s GPT line of services.

Advertising 265

Advertising Cost-Benefit Marketing Risk 265

O'Reilly on Data

JUNE 19, 2019

In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. There needs to be a way to validate this against a given metric and validation set before deploying a model.

Modeling 193

Modeling Machine Learning Testing Metrics 193

CIO Business Intelligence

NOVEMBER 29, 2022

AWS launched Amazon Connect in 2017 in an effort to offer a low-cost, high-value alternative to traditional customer service software suites. The schedules created can be edited or reviewed if needed and once the schedules are published, Amazon Connect notifies the agent and the supervisor that a new schedule has been made available.

Machine Learning 90

Machine Learning Forecasting Recreation/Entertainment Metrics 90

datapine

APRIL 8, 2020

A SQL dashboard is a visual representation of data and metrics that are generated from a SQL relational database, and processed through a dashboard software in order to perform advanced analysis by creating own queries, or using a visual drag-and-drop interface. But let’s start from the beginning and define this kind of a dashboard.

Dashboards 209

Dashboards Software Visualization Sales 209

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

Sisense

DECEMBER 27, 2019

Case in point: when you look at your company’s monthly metrics, you’re focused solely on a single month’s worth of data. Unlike standalone monthly metrics, YOY gives you a picture of your performance without seasonal effects, monthly volatility, and other factors. Unsurprisingly, this is a key metric for retail analytics.

KPI 96

KPI Measurement Metrics Key Performance Indicator 96

Smart Data Collective

FEBRUARY 1, 2023

A 2017 study from Harvard Medical School discusses some of the changes big data has created for nurses. The bed can also monitor patient activity and provide data on things like heart rate, or even sleep patterns — important metrics that can make a big difference in healthcare outcomes. It’s a big deal. So, what’s out there?

Data Analytics 117

Data Analytics Analytics Big Data Internet of Things 117

Decision Management Solutions

JUNE 4, 2021

Define the metrics or key performance indicators (KPIs) they want to improve: But analytics cannot magically improve metrics—they can only tell you if your analytic investment was worthwhile. 1 MIT Sloan Management Review September 06, 2017. Focusing on decision-making changes everything.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Business Over Broadway

DECEMBER 20, 2018

Data Science/Analytics Tools, Technologies and Languages used in 2017. A recent survey by Kaggle revealed that data professionals used data visualization, logistic regression, cross-validation and decision trees more than other data science methods in 2017. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Jenny Sussin

JUNE 13, 2019

75% of organizations we surveyed have increased their CX technology investment in 2018, as compared to 2017. Organizations are most focused on getting CX metrics right and listening to the Voice of the Customer (VoC) which means investing in customer analytics applications.

Technology 72

Technology Customer Analytics Metrics Sales 72

CIO Business Intelligence

MARCH 19, 2024

Lynch is among them, for “failure to meet agreed performance goals, including financial metrics.” September 2017: HPE finally sells its software business, of which Autonomy assets make up a small part, to UK-based Micro Focus International. Whitman hires PricewaterhouseCoopers to investigate. November 2012: HP takes an $8.8 billion.

Software 97

Software Sales Unstructured Data Enterprise 97

Smart Data Collective

DECEMBER 9, 2020

In 2017, the university forged a partnership with Microsoft and the city of Bellevue. This data is obviously important, because the nature of a vehicle and driver demographics will always be part of any sensible risk scoring metric. New machine learning initiatives offer promising opportunities to lower car accidents.

Machine Learning 141

Machine Learning Risk Insurance Predictive Analytics 141

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. The medical insurance company wasn’t hacked, but its customers’ data was compromised through a third-party vendor’s employee.

Data Governance 98

Data Governance Enterprise Data Quality Metadata 98

datapine

MAY 11, 2022

While pie charts have received a bad rep in recent years, we feel that they form a useful visualization tool that serves up important metrics in an easy-to-follow format. Retail analytics tools allow you to visualize relevant metrics in interactive bar charts such as the one displayed below. c) Pie charts. d) Gauge charts.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Jet Global

OCTOBER 8, 2020

And it’s possible to become lost in the minutiae of the many different metrics available to measure an organisation’s AR capabilities. A 2017 study by FSN found that businesses which made better use of non-financial data were more than twice as likely to be able to forecast beyond the 12-month time horizon than those that didn’t.

Finance 98

Finance Reporting Forecasting Metrics 98

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. Current Ratio. Let me draw that out for you.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

CIO Business Intelligence

JULY 20, 2022

Yet in the cybersecurity field, women only account for about one quarter (24%) of the overall workforce, albeit, up from 11% in 2017, according to the ISC2 Women in Cybersecurity report. A 2020 World Economic Forum report found that women make up a similar percentage (26%) of data and AI positions in the workforce. “We

IT 128

IT Software Cost-Benefit Strategy 128

CIO Business Intelligence

MAY 24, 2023

Heavy investment for us in cloud, though, really started in 2017 when we launched our redesigned, cloud-based, cloud-native central reservation system called ChoiceEdge. And then at the back end of this, how to drive accountability, leveraging the metrics you’re gathering and what goals you’re going to set.

Cost-Benefit 52

Cost-Benefit Digital Transformation Metrics Insurance 52

Depict Data Studio

SEPTEMBER 13, 2023

Grant Deliverables In this blog post , you’ll see how Josephine Engels did need to start from scratch — she was visualizing these metrics for her organization for the first time — and then made several dashboards to track grant deliverables. Adapt one of these dashboards instead.

Dashboards 52

Dashboards Visualization Snapshot Data-driven 52

Juice Analytics

APRIL 21, 2019

Collecting good requirements is less about a laundry list of charts and metrics, but an understanding of how information can transform the business from how it exists today. In 2017 I had the opportunity to work on an insurance industry project for the first time. What are the metrics that drive top line revenue?

Insurance 69

Insurance Dashboards Metrics Reporting 69

Domino Data Lab

MAY 20, 2021

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Alation

MAY 11, 2023

These metrics are a testament to our global expansion in EMEA and APAC. He was previously VP of Marketing at Datadog , as well as the VP and Head of Product Marketing at MuleSoft , where he oversaw critical growth, culminating in the company’s successful IPO in 2017 and acquisition by Salesforce the next year.

B2B 52

B2B Finance Data Governance Marketing 52

Cloudera

APRIL 7, 2021

A 2017 PWC survey of over 100 global insurance company CEOs revealed that the number one objective of these CEOs was to “get closer to their customers and to better understand their evolving needs.” In order to get from here to there, insurance companies need to focus on data management.

Insurance 58

Insurance Digital Transformation Internet of Things IoT 58

CIO Business Intelligence

MAY 16, 2023

higher [in 2022] than in 2017.” Organizations can accelerate the adoption of data-dependent use cases such as those revealed through our research by having their data in order: using information governance to manage data across its lifecycle through processes, roles, controls, and metrics to collect, organize, use, and secure data.

Advertising 79

Advertising Recreation/Entertainment Experimentation Enterprise 79

CIO Business Intelligence

JANUARY 23, 2023

When Strickland joined Wyndham in 2017, he served as a traditional CIO, but he soon expanded his portfolio with vendor management, selling the argument that because IT constituted the bulk of the spend, it made sense to centralize under one organization and management.

Digital Transformation 145

Digital Transformation Technology Management Insurance 145

Smarten

JANUARY 7, 2020

Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization. How is Modern BI Different From Traditional BI?

IT 52

IT Business Intelligence ROI Reporting 52

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. References. Maria Fox, Derek Long, and Daniele Magazzeni.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

The Unofficial Google Data Science Blog

JULY 18, 2023

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. We will follow the example of Janson and Olsson , and start from this generalized definition of the metric, which they call iota.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Alation

MAY 11, 2023

These metrics are a testament to our global expansion in EMEA and APAC. He was previously VP of Marketing at Datadog , as well as the VP and Head of Product Marketing at MuleSoft , where he oversaw critical growth, culminating in the company’s successful IPO in 2017 and acquisition by Salesforce the next year.

B2B 40

B2B Finance Data Governance Marketing 40

BizAcuity

APRIL 28, 2019

is delinquent as of June 30th, 2017. Also, we noticed that, earlier, the data consisted of only a few metrics, based on which the team classified its customers. According to a Federal Bank report, more than $600 billion of household debt in the U.S. Out of which, $400 billion is delinquent for more than 90 days.

Predictive Analytics 98

Predictive Analytics Analytics Big Data Data mining 98

Rita Sallam

NOVEMBER 11, 2016

What’s on Deck for 2017? This new engine will replace the.TDE by end of 2017. Nearer-term in 2017, Tableau’s Live Query Agent features will be the most important. Users will also be able to define and monitor metrics and alerts to changes based on defined or dynamic thresholds. Enterprise Features. Tableau for Linux!!

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Smarten

JANUARY 17, 2019

For example, a business user might create the following search using natural language: ‘how did John Smith’s product sales in 2017 compare to his product sales in 2016?’.

Enterprise 40

Enterprise Analytics Forecasting Sales 40

Sisense

MARCH 25, 2020

According to a 2017 survey that polled 1,000 professional software developers from the United States and Great Britain, 41% of respondents cited “waiting for other people to do stuff” and “meetings where I mostly remain silent” (40%), as their biggest time-wasters. Overcoming workplace time-sucks.

Dashboards 75

Dashboards Visualization Reporting Management 75

Alation

JUNE 23, 2022

The report ranks 18 data catalogs by these metrics, placing Alation at the top of the list. Customer surveys focused on three core catalog features: content co-creation & sharing, advanced catalog features, and administrative/governance. Key findings. Business size matters.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. Adrian Weller (2017-07-29). “ If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Challenges for Transparency ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105