O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. What is needed are data scientists who can interrogate the data and understand the underlying distributions, working alongside domain experts who can evaluate models holistically. Real modeling begins once in production.

Machine Learning 277

Machine Learning Risk Management Statistics 277

Smart Data Collective

NOVEMBER 14, 2019

If you get the right data in hand, it becomes a lot easier to know which direction to take. Five KPIs and Metrics Worth Tracking. And if you employ the data strategically, you can learn a lot about who your customers are and what they might want. We live in a digital world where data and data collection are ubiquitous.

Metrics 81

Metrics Key Performance Indicator Cost-Benefit Optimization 81

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement.

Metrics 98

Metrics Finance Reporting KPI 98

Smart Data Collective

DECEMBER 9, 2021

Outside of that, it is important to know how your customers interact with your products, buying trends, what devices they use, what times they like to shop, and so much more. Collecting too much data would be overwhelming and too little – inefficient. Data collection is just a step data-driven approach.

Big Data 142

Big Data Data-driven Key Performance Indicator Testing 142

datapine

APRIL 16, 2019

While sometimes it’s okay to follow your instincts, the vast majority of your business-based decisions should be backed by metrics, facts, or figures related to your aims, goals, or initiatives that can ensure a stable backbone to your management reports and business operations. 3) Gather data now. 6) Analyze and understand.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. The purpose of collection and interpretation is to acquire useful and usable information and to make the most informed decisions possible. What is the keyword? Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

JUNE 4, 2020

A CTO dashboard is a critical tool in the process of evaluating, monitoring, and analyzing crucial high-level IT metrics such as support expenses or critical bugs, e.g., with the goal to create a centralized and dynamic point of access for all relevant IT data. Try our professional dashboard software for 14 days, completely free!

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Smart Data Collective

OCTOBER 25, 2023

The Social Media Landscape: Beyond Likes and Shares Social media offers businesses and individuals a window of opportunity into the preferences, behaviors, and interactions of users. These platforms provide a web of data – everything from demographic details to engagement patterns, content preferences, and even the timing of user activity.

Key Performance Indicator 122

Key Performance Indicator Business Intelligence Data-driven OLAP 122

Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

Smart Data Collective

AUGUST 11, 2022

Research conducted by the Harvard Business Review found that the interaction between machines and humans significantly improves firms’ performance. Fortunately, AI eliminates the human factor, therefore significantly improving data quality. However, Ai uses algorithms that can screen and handle large data sets.

Data Quality 139

Data Quality Machine Learning Digital Transformation Big Data 139

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Smart Data Collective

FEBRUARY 24, 2022

The three biggest enemies to user onboarding are the lack of data analysis, data collection, and the wrong amount of information. Unfortunately, many businesses worldwide are not doing a good job collecting data and thus, fail to enhance customer relationships. Pay attention to the metrics.

Data Analytics 124

Data Analytics Analytics Visualization Optimization 124

Occam's Razor

AUGUST 13, 2012

That means: All of these metrics are off. That's simply because this model is unique to my business and my understand of our data. The nice thing is that my custom attribution model will give me a unique view of the conversion path on MY site (a new column to look at under "% Change from Last Interaction").

Modeling 125

Modeling Metrics Data Quality Data-driven 125

datapine

JANUARY 31, 2022

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. Overall, the use of data analysis in this use case showed a significant increase in employee collaboration and increased operational efficiency for the company.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Ontotext

AUGUST 12, 2021

The hospital (and many other Healthcare institutions like it) keeps the data in various systems where each serves the specific needs of a different department and there is no unified access or identification of individuals between databases. Custom metrics are no different.

Metrics 98

Metrics Visualization Reporting Data Collection 98

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Jet Global

MAY 21, 2020

Streamline budget creation and distribution by integrating planning data with live ERP actuals. These metrics are important to be able to understand the impact of costs and change in order to create sustainable business models and seek new forms of revenue and funding. Admissions and enrollment. Get a personalized demo. .

Finance 98

Finance KPI Forecasting Data-driven 98

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 105

Advertising Recreation/Entertainment Experimentation Data Collection 105

Smart Data Collective

JUNE 29, 2022

NLP chatbots can automate the workflow and collect valuable data through these interactions. Since AI relies on high-quality and high quantity data, staying compliant with data collection laws is crucial. Success Metrics. Metrics of success for one fintech firm may be different than another.

Cost-Benefit 111

Cost-Benefit Predictive Analytics Finance Forecasting 111

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. I also don't like the slew of metrics thrown at us in the standard report, hence I switch to the Comparison view and just pick the two metrics I want.

Analytics 156

Analytics Reporting Metrics Slice and Dice 156

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. These technologies enable systems to interact, learn from interactions, adapt and become more efficient. billion by 2030.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

Jet Global

JUNE 27, 2024

Unfortunately, ESG reporting is complex, requiring data from multiple sources, such as enterprise resource planning, sustainability systems, customer relationship management, and human resource management. Businesses also struggle to collect and consolidate ESG metrics alongside their financial data.

Reporting 64

Reporting Management Data Collection Metrics 64

Cloudera

AUGUST 17, 2020

In order to deliver effective results in the context of a chat interaction, we had to re-think how people search. Data Collection Request – A sentence requesting data from the customer. Next is to join this all together along with some metrics to help promote the more relevant content. Promote the Results.

Testing 88

Testing Machine Learning Interactive Metrics 88

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data.

Statistics 97

Statistics Metrics Visualization Finance 97

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. Solution overview The following highly simplified architectural diagram illustrates the smart sensor data collection and processing.

Dashboards 98

Dashboards Statistics Data Collection Business Intelligence 98

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Sisense

JUNE 9, 2021

Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Smart Data Collective

APRIL 5, 2019

The Complex Role Between Big Data and Social Listening Tools. The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. Social media monitoring involves collecting data and is quantifiable. Why is this so important?

Big Data 100

Big Data Interactive Data-driven Machine Learning 100

IBM Big Data Hub

SEPTEMBER 11, 2023

A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

IBM Big Data Hub

DECEMBER 18, 2023

Contrary to what you might think, RUM data isn’t a performance indicator for Captain Morgan, Cuban tourism or a Disney film franchise. Real User Monitoring (RUM) data is information about how people interact with online applications and services. Are there alternatives to RUM data? Why “real”?

IT 63

IT Metrics Optimization Testing 63

Occam's Razor

JULY 12, 2010

Please click on the above image for a higher resolution version , including all the other metrics.]. In the last month data was copied off one of my posts 5,616 times, with most of it being content and some of it images. This entire interaction that was completely invisible to me is now a bit more visible. Why is this cool?

Analytics 97

Analytics Measurement Metrics KPI 97

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

CIO Business Intelligence

AUGUST 15, 2023

The scalable avatar can have hundreds of thousands of conversations individually and simultaneously, and is highly customizable and interactive in real-time, thereby providing an immersive experience for each user. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 98

IT Manufacturing IoT Cost-Benefit 98