Rocket-Powered Data Science

DECEMBER 15, 2018

If we cannot know that ( i.e., because it truly is unsupervised learning), then we would like to know at least that our final model is optimal (in some way) in explaining the data. The objective function (also known as cost function, or benefit function) provides an objective measure of model performance.

Machine Learning 171

Machine Learning Optimization Metrics Modeling 171

FineReport

APRIL 9, 2024

The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance. Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

JANUARY 10, 2023

Furthermore, this capability can also tackle another stumbling block we face: once you have introduced a change, how do you easily measure its success and adoption? By applying process mining, you can quickly see levels of process compliance right across the organisation and right across the value chain.

Management 52

Management Data-driven Data mining Business Objectives 52

Smart Data Collective

OCTOBER 20, 2020

Some of the benefits of using data technology in conjunction with your GTM approach include: More easily defining a plan for your marketing and sales teams to follow. Defining the metrics and goals to measure the success of your business strategy. Identifying the needs, behaviors, and characteristics of your customers.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. Be data driven?" " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!].

KPI 124

KPI Metrics Measurement ROI 124

datapine

OCTOBER 10, 2019

And if you’re looking to make a dashboard to outline return on marketing investment (ROMI), your visualizations, design, and metrics would be very different from those featured in a marketing channel engagement report. d) What KPIs, if measured, will help them reach their goals? e) How are they currently viewing these KPIs?

Dashboards 146

Dashboards Visualization Sales Metrics 146

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

The Unofficial Google Data Science Blog

JANUARY 14, 2016

The LSOS may do this by exposing a random group of users to the new design and compare them to a control group, and then analyze the effect on important user engagement metrics, such as bounce rate, time to first action, or number of experiences deemed positive. And an LSOS is awash in data, right?

Experimentation 41

Experimentation Statistics Metrics Measurement 41

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

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

Occam's Razor

NOVEMBER 13, 2009

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. Chapter 5 The Key to Glory: Measuring Success. A good thing. I am out of breath! It was hard.

Analytics 71

Analytics Metrics Measurement Testing 71

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Mobile content consumption, behavior along key metrics (time, bounces etc.)

Metrics 141

Metrics Reporting Analytics Marketing 141

datapine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. Figure 8: The DataKitchen Platform tracks collaboration, productivity and quality metrics. Priya has more than 10 years of experience in IT, Data Warehousing, Reporting, Business Intelligence, Data Mining and Engineering, and DataOps.

Testing 152

Testing Metadata Dashboards Statistics 152

BizAcuity

APRIL 1, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 52

Business Intelligence Consulting KPI Data Warehouse 52

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

datapine

JULY 24, 2019

Data has never been more readily accessible. Approaches to communication are changing, and success in today’s technology-driven world correlates directly to the quantity rather than the quality of one’s information—metrics relating to the business, the client, the competitor, and the market. 2) Know your dashboards.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Occam's Razor

SEPTEMBER 4, 2012

I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. That would have been an easy thing to do based on data mining ( lame data mining!). When I got this email, as a Marketer and Data Mining connoisseur, I had to smile. Measurement? Let me explain.

Marketing 144

Marketing Data mining Measurement Strategy 144

AWS Big Data

FEBRUARY 22, 2023

Before implementing a data lake on AWS, Ruparupa had no infrastructure capable of processing the volume and variety of data formats in a short time. Data had to be manually processed by data analysts, and data mining took a long time. Because of the fast growth of data, it took 1–1.5

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

The Unofficial Google Data Science Blog

FEBRUARY 29, 2016

Variance reduction through conditioning Suppose, as an LSOS experimenter, you find that your key metric varies a lot by country and time of day. And since the metric average is different in each hour of day, this is a source of variation in measuring the experimental effect. Obviously, this doesn’t have to be true.

Experimentation 40

Experimentation Metrics Statistics Measurement 40

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. For a beginner, it’s a lot in one place.

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

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. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

datapine

NOVEMBER 27, 2019

While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account. It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices.

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Standalone is a thing of the past.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52