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 84

Advertising Recreation/Entertainment Experimentation Enterprise 84

Occam's Razor

MAY 2, 2017

There is no golden metric for everyone, we are all unique snowflakes! :). That then takes us down the very best way to answer that question, to use the five-step process to build out the Digital Marketing and Measurement Model. and tell you what are the best key performance indicators (metrics) for them.

Metrics 141

Metrics Key Performance Indicator B2B Measurement 141

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Data Insight

APRIL 15, 2019

If you look at the metrics of what defines business success from a leadership perspective, a traditional business measurement used to be all about profit and loss, production, efficiency and productivity. That’s a massive shift in quite a short time frame from traditional metrics without us even realising it.

Data-driven 40

Data-driven Metrics Measurement Strategy 40

AWS Big Data

AUGUST 7, 2023

The data contains measurements of electric power consumption in different households for the year 2014. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting 81

Forecasting Data Warehouse Machine Learning Modeling 81

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

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

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. A catalog of validation data sets and the accuracy measurements of stored models.

Modeling 194

Modeling Machine Learning Testing Metrics 194

Insight

OCTOBER 25, 2019

Before feeding features into SVM classifiers (linear kernel), I normalized all input features using min-max, performed PCA to reduce input dimension, then supplemented the visual features with min-max-normalized measures of object sizes (diameters in 3 dimensions) from the CAD models.

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

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. When you compare your monthly numbers to a larger sample and comparable periods, you get a truer measure of your performance, minus elements that may be distorting your data. The answer: year-over-year growth.

KPI 96

KPI Measurement Metrics Key Performance Indicator 96

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

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. The qualitative surveys measuring unhappiness went down even more than before. Metrics matter. You are what you measure.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

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

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? It is hard to account for such tweaking in measurement systems. Pertinence and fidelity of metrics developed from Data.

Metrics 49

Metrics Statistics Data Quality Measurement 49

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). “ Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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

Insight

MARCH 25, 2019

Bugs in a third-party CDN provider’s system, such as this one from 2017, can have serious implications for the security and privacy of your users. Latency measurements on the internet can change over time, and these are the measurements that Route53 uses to determine where to route users when this routing policy is implemented.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

Jet Global

DECEMBER 4, 2020

In 2017, Walmart announced its intention to reduce overall CO2 emissions. Finally, and perhaps most importantly, effective reporting tools provide clear visibility of key performance metrics across the entire organization. Barcoding, likewise, is a common requirement imposed by larger customers. Better Visibility to Performance.

Reporting 52

Reporting Sales Finance Software 52

Cloudera

MAY 18, 2021

Value-at-Risk (VaR) is a widely used metric in risk management. Fortunately, with a modern streaming platform like Flink, and an easy to use stream programming language like Flink SQL, we can quickly build robust pipelines to calculate intraday risk measures as market data arrives in real-time. Intraday VaR. Citations. [1]

Risk 94

Risk Marketing Risk Management Data-driven 94

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. 05) in predicting changes in attendance.

Statistics 59

Statistics Machine Learning Testing Modeling 59

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. The single red line shows the actual value of some metric up to the middle section of the chart. Most charts have two axes.

Sales 61

Sales Measurement Statistics Data Architecture 61

Occam's Razor

DECEMBER 8, 2017

If the Surface Marketing team is like every other team at every other company engaged in sponsorships and television advertising, it’ll measure the same collection of smart metrics like everyone else. The Surface team is likely measuring it with deep granularity (by individual games, geo, days, times of days, and a lot more).

Broadcasting 121

Broadcasting Measurement Marketing Sales 121

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

Occam's Razor

JUNE 7, 2017

And, less than 1% engagement of any kind from that less than 1% reached (identified using the best social media metrics: Conversation Rate, Amplification Rate, Applause Rate ). Do you have access to any data to measure how deeply non-impactful your organic Social Media efforts are? The Broken Promise of Marketing Utopia: Examples.

Advertising 162

Advertising Marketing B2B ROI 162

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. regression, multi-class classification etc.), See Wei et al.

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. from 2017 , and this is one of the business analytics topics we will hear even more in 2020.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Alation

AUGUST 26, 2021

HBR Review May/June 2017. A common BI application is the BI dashboard, which displays key metrics so that leaders have a “big picture view” to inform wise goals and decisions. Your goals should reflect your business’ objectives and clearly define by what metrics you will deem those goals successful. What will success look like?

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MARCH 2, 2022

As such, some of the measures published in respect of ESG include: As such, some of the measures published in respect of ESG include: Non-Financial Reporting Directive (NFRD). The Task Force on Climate-Related Disclosures or TCFD released its disclosure recommendation in 2017.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59