Sisense

JUNE 26, 2020

A Python data visualization helps a user understand data in a variety of ways: Distribution, mean, median, outlier, skewness, correlation, and spread measurements. Box-plot helps in measuring two observations: 1. Observations: With the above box-plot visualization we can measure the following parameters: The minimum is 1.0

Visualization 97

Visualization Unstructured Data Measurement Data-driven 97

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

APRIL 15, 2019

A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. Bubble Kings most commonly reside in organizations where there is little to no accountability (or misplaced accountability, ex: celebration of vanity metrics).

Measurement 80

Measurement Strategy Data Processing Uncertainty 80

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. Prepare the data Refer to the following notebook for the steps needed to create this use case. We aggregated the usage data hourly.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. This is important because unlike diabetes or high blood pressure we don’t yet have clear metrics for Parkinson’s.

Machine Learning 50

Machine Learning Internet of Things Data-driven Cost-Benefit 50

O'Reilly on Data

APRIL 23, 2024

But in 2013 and 2014, it remained stuck at 83% , and while in the ten years since, it has reached 95% , it had become clear that the easy money that came from acquiring more users was ending. The market was maturing. From 2000 to 2011, the percentage of US adults using the internet had grown from about 60% to nearly 80%.

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. To learn more about the Do in stage one please review my See-Think-Do-Coddle framework for content, marketing and measurement.]. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Look at the colors. Look at the icons. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

MARCH 10, 2015

Universal Analytics: T3: Measurement Protocol! Measurement Protocol – all your data are belong to us! Universal Analytics: T3: Measurement Protocol! Measurement Protocol is perhaps the most complex of the major Universal Analytics features. + Universal Analytics: What the heck is it? Closing Thoughts. They are: 1.

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Occam's Razor

AUGUST 9, 2016

Along the way I'll share some of my favourite metrics and analytics best practices that should accelerate your path to becoming a true Analysis Ninja. At this point you'll be a little confused about some metric or the other. Go, read one of the best pages in the Analytics help center: Understanding Dimensions and Metrics.

Analytics 110

Analytics Metrics Reporting Strategy 110

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 149

Marketing Advertising Strategy Optimization 149

Occam's Razor

OCTOBER 14, 2014

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. If you have set the targets for your KPIs up front (Unique Visitors for Sept.

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Occam's Razor

JANUARY 31, 2017

There is only one simple message above, and just two metrics that matter. The latter is especially important because it directly ties to what content the ads/marketing should contain, what the tone and texture should be of the landing page/app experience, and what we'll use to measure success (S, T, D, C metrics).

Visualization 149

Visualization IT Strategy Key Performance Indicator 149

Occam's Razor

APRIL 29, 2013

[A benchmark for you: In 2013 if 30% of your time, Ms./Mr. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. They get you fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

IBM Big Data Hub

FEBRUARY 22, 2024

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”).

Metadata 91

Metadata Measurement Risk Modeling 91

Jet Global

MAY 1, 2023

Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Users’ varied needs require a shift in traditional BI thinking.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. Future versions of the AIgent may be improved with the use of more nuanced metrics, depending on the class-encoding scheme applied.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

FEBRUARY 24, 2025

In its Technology Leaders Survey, IBM reports that only 36% of CEOs say IT is effective at providing basic technology services, down from 64% in 2013; 50% of CFOs rate the IT organization as efficient, down from 60% in 2013; and only 47% of surveyed tech leaders say as much, down from 69%. Find metrics where theres no limit, he says.

IT 140

IT Measurement Metrics Cost-Benefit 140

CIO Business Intelligence

DECEMBER 18, 2024

in previous years and the lowest since 2013. Continuous learning was one of the key performance metrics we were measured on. Worse still, the ratio of actively disengaged employees in North America has dropped to 1.8 engaged employees for every disengaged worker, down from 2.1 This disengagement is costing an astounding $7.8

Deep Learning 98

Deep Learning Interactive Reporting Digital Transformation 98

CIO Business Intelligence

JANUARY 2, 2025

The second part of deepening insight comes from improving the measures that show the efficacy of the technology in use. Boards and management teams need to balance strengthened governance around measured implementations with passion and imagination. It is this leadership in the boardroom that our stakeholders deserve.

Reporting 52

Reporting Technology Enterprise Cost-Benefit 52