Smart Data Collective

DECEMBER 17, 2021

Introduction: What is Marketing Analytics and How Does it Help Marketers? Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development.

Marketing Analytics 96

Marketing Analytics Marketing Data-driven Analytics 96

CIO Business Intelligence

MARCH 3, 2023

A big part of that effort involves advanced analytics to gain better insight into what’s happening at a venue in real-time so staff can respond rapidly to changing conditions. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

Smart Data Collective

MAY 29, 2022

What is data analytics? One of the most buzzing terminologies of this decade has got to be “data analytics.” Companies generate unlimited data every day, and there is no end to the data collected over time. Data analytics helps in meeting these goals.

Data Analytics 133

Data Analytics Analytics Strategy Insurance 133

Occam's Razor

JUNE 25, 2012

The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Web Data Collection Context: Cookies and Tools.

Data Collection 130

Data Collection Advertising Metrics Reporting 130

Aryng

JUNE 3, 2022

Misalignment between business objectives and success metrics is a common problem, especially as a start-up is in its journey of growing and evolving.

Analytics 52

Analytics Business Objectives Metrics Data Collection 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

Smart Data Collective

FEBRUARY 24, 2022

It’s no secret that the key to having a successful onboarding process is data. All information you collect from people who admire your products and services represents the core of marketing & sales. Hence, data analytics is the main basis for product management decisions. Data analytics importance.

Data Analytics 111

Data Analytics Analytics Visualization Optimization 111

Smart Data Collective

FEBRUARY 1, 2023

The data there has not only helped the hospital treat the various respiratory conditions that those emissions have produced, but it is also helping locals motion for increased sanctions on the factory. Data is so important to modern healthcare that nurses can now specialize in it.

Data Analytics 118

Data Analytics Analytics Big Data Internet of Things 118

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

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 66

Metrics Key Performance Indicator Cost-Benefit Optimization 66

Jet Global

JUNE 5, 2020

An insurance Key Performance Indicator (KPI) or metric is a measure that an insurance company uses to monitor its performance and efficiency. Insurance metrics can help a company identify areas of operational success, and areas that require more attention to make them successful. This insurance metric helps gauge two different aspects.

Insurance 59

Insurance Metrics Reporting KPI 59

O'Reilly on Data

JULY 28, 2020

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

Jet Global

JULY 8, 2020

A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. These metrics help companies identify areas of operational success and failure through measuring specific quantifiable aspects of their business.

Metrics 52

Metrics Reporting KPI Key Performance Indicator 52

Smart Data Collective

DECEMBER 9, 2021

Big data has been highly beneficial to business. Decisions like whether or not to expand a certain division or add a big contractor are understood to require painstaking data analytics, research and planning before execution. Data is one of the most important resources for any business. Understand Your Business.

Big Data 129

Big Data Data-driven Key Performance Indicator Testing 129

datapine

JULY 6, 2022

1) What Are Productivity Metrics? 3) Productivity Metrics Examples. 4) The Value Of Workforce Productivity Metrics. What Are Productivity Metrics? Productivity metrics are measurements used by businesses to evaluate the performance of employees on various activities related to their general company goals.

Measurement 243

Measurement Metrics KPI Sales 243

datapine

JULY 8, 2020

A COO (chief operating officer) dashboard is a visual management tool used by COOs to connect multiple data sources, track, evaluate, and help COOs to optimize operational processes within a company by using interactive metrics and advanced analytical capabilities. Choose the most valuable metrics for your industry.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. Study employee performance metrics Performance metrics are a measure of how well team members are doing at their work. One of the biggest advantages is that it can bolster employee productivity. They reflect your business’s performance.

Metrics 89

Metrics Measurement Data-driven Optimization 89

Occam's Razor

JANUARY 12, 2015

The world of digital analytics seems to be insanely complicated. I led a discussion the other day with a collection of people who were brand new to the space and some who were jaded long-term residents of Camp Web Analytics. Digital Analytics Ecosystem: The Inputs. Digital Analytics Ecosystem: The Outputs.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

BizAcuity

FEBRUARY 22, 2019

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent. Financial analytics is becoming an important and inherent part of software applications that are being used by event industry.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

Occam's Razor

APRIL 13, 2015

The 80/20 rule applies to our use of web analytics tools as well. I recommend that periodically you gather folks around you for lunch, pull up Adobe Analytics on the big screen in the conference room, let each person expose one hidden report or feature. Google Analytics Shortcuts: Save Your Complex Views. This hurts my feelings!

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

CIO Business Intelligence

DECEMBER 19, 2022

Different cloud platforms mean unproductive time spent cobbling together and homogenising data. Using this data collection method, the window of maximum campaign opportunity will close before a campaign is even started. A remote and home working ethos amplifies this problem.

Advertising 97

Advertising Cost-Benefit Metrics Marketing 97

IBM Big Data Hub

DECEMBER 18, 2023

Does that imply that there are “fake” user metrics as well? Synthetic data is where algorithms and simulations attempt to create the experience of an “average” user based on representative data samples. How is RUM data collected and processed? Why “real”? Actually, yes!

IT 69

IT Metrics Optimization Testing 69

O'Reilly on Data

MARCH 31, 2020

Many consumer internet companies invest heavily in analytics infrastructure, instrumenting their online product experience to measure and improve user retention. It turns out that type of data infrastructure is also the foundation needed for building AI products. If you can’t walk, you’re unlikely to run.

Management 332

Management Machine Learning Experimentation Metrics 332

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately. Keep in Mind Metrics and KPIs.

Data-driven 88

Data-driven Big Data Metrics Strategy 88

Jet Global

AUGUST 11, 2020

This includes tools that automatically pull data from across an enterprise organization, in real time, and organize that data into easy-to-read CFO reports and CFO dashboards. Automated data collection, for example, can be used to deliver faster information and insights to customers in real time.

Digital Transformation 90

Digital Transformation Finance Machine Learning Data Collection 90

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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 121

Cost-Benefit Internet of Things Data-driven Data Lake 121

Smart Data Collective

JUNE 29, 2022

Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications. Interpreting data to generate valuable insights on analytics for consumers can help users improve their financial habits and achieve their financial goals easily. Predictive Analytics.

Cost-Benefit 87

Cost-Benefit Predictive Analytics Finance Forecasting 87

Jet Global

JANUARY 20, 2020

The debt-to-equity ratio is one of the simplest metrics to calculate (total liabilities/total shareholder value) and also one of the most important. Finding the Ratios Inside the Data. The formula behind the debt-to-equity ratio may be simple, but that doesn’t mean consistently tracking this metric is easy.

Risk 80

Risk Metrics Snapshot Dashboards 80

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. To ensure these scenarios remain actionable, they should be updated regularly based on the latest data and insights.

Forecasting 87

Forecasting Marketing Risk Sales 87

CIO Business Intelligence

JUNE 5, 2023

Optimize internal technology Today, CIOs can influence everything from hardware procurement and the way developers write code for their company, to how IT gathers, processes, distributes and stores data—all of which impact a company’s carbon footprint. The CIO’s role in delivering this technology will be essential.

Software 105

Software Measurement Visualization Business Objectives 105

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 102

Advertising Recreation/Entertainment Experimentation Enterprise 102

CIO Business Intelligence

NOVEMBER 22, 2022

“Unique insights derived from an organization’s data constitute a competitive advantage that’s inherent to their business and not easily copied by competitors,” she observes. Failing to meet these needs means getting left behind and missing out on the many opportunities made possible by advances in data analytics.”

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! Couple of other examples of going to your own data to identify your benchmarks.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

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 74

Dashboards Statistics Data Collection Business Intelligence 74