Smart Data Collective

DECEMBER 17, 2021

These insights optimized his marketing efforts for better ROI and conversion rates. The data collection process is an ongoing process that starts with setting goals, defining success metrics , identifying what data needs to be collected, and how it will be gathered. What works for one person might not work for another. Source: [link].

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Even with good training data and a clear objective metric, it can be difficult to reach accuracy levels sufficient to satisfy end users or upper management.

Management 332

Management Machine Learning Experimentation Metrics 332

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Business leaders worldwide are asking their teams the same question: “Are we using the cloud effectively?” Why move to cloud?

Modeling 81

Modeling Cost-Benefit Optimization Digital Transformation 81

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

datapine

JANUARY 6, 2022

Before any serious data analysis can begin, the scale of measurement must be decided for the data as this will have a long-term impact on data interpretation ROI. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Variables are exclusive and exhaustive.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

SEPTEMBER 16, 2021

Consider what your ambitions are and what metrics you’re going to use to judge your effectiveness. Good digital marketing takes budget ceilings and ROI into consideration, so it’s critical for marketers to make the most of their limited resources. Cost-per-lead.

Marketing 132

Marketing Strategy Metrics ROI 132

Smart Data Collective

MAY 18, 2022

So, QA engineers get the information they need to work on product quality assurance, developers get the information that points to the problem spots in the code, and managers get the analytics and metrics, which allow them to evaluate the effectiveness of work on the product and its readiness for release. Test process monitoring.

Testing 106

Testing Data Analytics Analytics Big Data 106

datapine

NOVEMBER 5, 2019

By harnessing the insights, information, and metrics that are most valuable to key aspects of your business and understanding how to take meaningful actions from your data, you will ensure your business remains robust, resilient, and competitive. The Link Between Data And Business Performance.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Occam's Razor

SEPTEMBER 29, 2009

Remember: Engagement is not a metric, its an excuse. ]. The ideal metrics for this desired outcome are Visitor Loyalty & Visitor Recency. You can compute two important metrics: Likelihood to Recommend / Brand Lift. There are a number of wonderful metrics you can use to measure online success of such marketing campaigns.

Measurement 128

Measurement Metrics Analytics Marketing 128

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 It offers ease of access through mobile devices, on the go, with critical metrics displayed at-a-glance. We live in a mobile world. billion mobile device users worldwide. 3 Superb Mobile Dashboard Examples. Sales mobile dashboard example.

Dashboards 112

Dashboards Visualization Metrics KPI 112

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Customer Lifetime Value ROI, Buzz Monitoring, Click Fraud.

KPI 124

KPI Metrics Measurement ROI 124

FineReport

MAY 9, 2023

As a result, you’ll be able to understand key metrics better and lay the groundwork for increasing conversions as a result. Threfore, you want to focus on the most important metrics and a project overview that is concise and to the point in the summary. Marketing KPIs are a good starting point for you.

Reporting 52

Reporting Marketing Advertising Metrics 52

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. All of which can be used to increase profitability, gain better ROIs, and be better adapted to changing economic landscape and consumer behavior.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

FEBRUARY 25, 2021

They require a deep enough knowledge of dozens of ML techniques in order to choose the right approach for a given use case, a thorough understanding of everything required to execute on that use case, as well as a solid foundation in statistics fundamentals to ensure their choices and implementations are mathematically sound and appropriate.

Deep Learning 82

Deep Learning Machine Learning Forecasting Visualization 82

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

datapine

SEPTEMBER 6, 2022

Modern content performance reports in the shape of an interactive online dashboard present an intuitive and accessible way to assess your content’s success and its ROI in real-time and in one centralized location. Enter modern content reports. Which we present below. What Is A Content Dashboard?

Dashboards 179

Dashboards Reporting ROI Metrics 179

Occam's Razor

JANUARY 6, 2010

2 Learn basic statistics. No longer can tools or "analysts" just puke 15 metrics on a report and hope to survive. For all of the above reasons it is becoming ever more important that you are know atleast Statistics 101. Knowledge of statistics is a key arrow to add to your analytical skills quiver.

Analytics 99

Analytics IT Statistics Metrics 99

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. These three statements are data rich and full of financial metrics. The Fundamental Finance KPIs and Metrics – Cash Flow. What is a Financial KPI? Current Ratio. View Guide Now.

Metrics 98

Metrics Finance Reporting KPI 98

datapine

NOVEMBER 13, 2019

Fortunately, we live in a digital age rife with statistics, data, and insights that give us the power to spot potential issues and inefficiencies within the business. With so many areas to consider, deciding which KPIs to focus on while defining metric measurement periods can prove to be a challenge at the initial stages.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

datapine

MARCH 18, 2020

and metrics (follows, likes, reach, growth, awareness, post performance, engagements, etc.) Social media marketing reporting is based on a curated collection of data and statistics that are customized based on your business’s social marketing activities and goals. Choose the right metrics. over various time frames.

Reporting 178

Reporting Dashboards Metrics KPI 178

datapine

DECEMBER 17, 2019

The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus. What kind of metrics matter to my audience? Once you have defined what you want to measure, you can select the appropriate metrics and visualize them with effective dashboard design.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

The ROI of human involvement When it comes to human involvement, the key difference is in the magnitude of costs associated with any one forecast cycle. This defines the ROI on the investment of human time. With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. When this contribution is put against the marketing spend in the particular channel, it produces a reading on the highly coveted return on investment (ROI).

Machine Learning 52

Machine Learning Sales Measurement ROI 52

datapine

JUNE 4, 2020

A chief technology officer (also referred to as chief technical officer or chief technologist), has an immense responsibility to drive a company forward and lead the technological advancements, research, development, and management in order to generate business value and increase the return on investment (ROI). What Is A CTO Dashboard?

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Insight

FEBRUARY 19, 2020

Building Models to Predict Movie Profitability Here I use profitability as the metric of success for a film and define profitability as the return on investment (ROI). The ROI is simply the fraction of the budget that the movie makes back at the box office (i.e., ROI = Profit/Budget). 158% (median ROI of 82%)!

Risk 67

Risk ROI Modeling Metrics 67

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. But if the same insights or metrics are presented in a simple graph, the number rises to 97%. A BI strategy that leverages data visualization will provide an ROI of $13.01

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. What do you recommend to organizations to harness this but also show a solid ROI?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

JUNE 23, 2019

Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. All you need to know, for now, is that machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn based on data by being trained on past examples.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? The leaders have learned how to create ROI from ML—now they’re competitive and doubling down on their AI bets. That’s the point where models degrade once exposed to live customer data, and where it requires significant statistical expertise to answer even a simple “Why?”

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Because every tool uses its own sweet metrics definitions, cookie rules, session start and end rules and so much more. Part of it fueled by some Consultants.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Andrew White

JANUARY 9, 2022

This was not statistic and we have not really explored this in any greater detail since. This is the same for scope, outcomes/metrics, practices, organization/roles, and technology. We have various tools, best practices and techniques to help explore the ROI for a range of D&A investments. I suspect we should.

Analytics 64

Analytics Measurement Modeling Data-driven 64

DataKitchen

JUNE 24, 2021

One of the keys for our success was really focusing that effort on what our key business initiatives were and what sorts of metrics mattered most to our customers. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It DataOps Maximizes Your ROI. Design for measurability.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

ROI 102

ROI Statistics Machine Learning Measurement 102

DataRobot Blog

NOVEMBER 8, 2022

To do that, we have expanded beyond intermediary signals, like reach and other delivery metrics, and applied more focus on measurement that is linked to business outcomes—because it allows us to have better and more nuanced conversations. most of what Mindshare does is designed expressly to inform and enhance our client’s decision-making.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

InsightOut

OCTOBER 15, 2021

The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. A failure to engage external stakeholders and provide them with timely business metrics may hamper their decision-making and hurt the businessxe2x80x99s bottom lines.

Dashboards 52

Dashboards Key Performance Indicator Digital Transformation Metrics 52