Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. DataOps strategies share these common elements: Collaboration among data professionals and business stakeholders. Over the past 5 years, there has been a steady increase in interest in DataOps.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Howard Dresner

NOVEMBER 6, 2014

November 2, 2014 It happened so fast …. Several agreed that storytelling is “sharing” and thus part of collaboration to bring people “through a data-driven journey” or bring the “results of statistical analysis into others’ workflows.” With one foot in the trap, it looked like he had utterly failed in his mission. …

Business Intelligence 45

Business Intelligence ROI Interactive Statistics 45

The Unofficial Google Data Science Blog

APRIL 17, 2017

An obvious requisite property of reconciliation is arithmetic coherence across the hierarchy (which is implicit in the sum-up-from-the-bottom possibility in the previous paragraph), but more sophisticated reconciliation may induce statistical stability of the constituent forecasts and improve forecast accuracy across the hierarchy.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. It is also a sound strategy when experimenting with several parameters at the same time. And sometimes even if it is not[1].)

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

JANUARY 6, 2019

Skills continuing to grow in prominence by 2022 include analytical thinking and innovation as well as active learning and learning strategies. Later in 2014, Matei Zaharia and I developed an Introduction to Apache Spark course, then I took over the reigns of the popular Spark Camp from Andy Konwinski who’d created it.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Occam's Razor

SEPTEMBER 21, 2015

We are going to discuss a cluster of strategies you can use to ensure that you present your message with radical simplicity and with an incredible focus. First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014. You are a Ninja, it will likely take you less. Simpler, right?

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

MAY 2, 2019

As mentioned, asking the right questions will form the foundations of choosing the right types of visualization charts for your project, strategy, or business goals. In our example above, we are showing Sales by Payment Method for all of 2014. Adding a trend line will help show the correlation and how statistically significant it is.

Visualization 173

Visualization Dashboards Sales KPI 173

Peter James Thomas

OCTOBER 1, 2019

For example if the categories related to products, then the size of rectangle appearing against Product A might be proportional to the number sold, or the value of such sales. | © JMB (2014) | Used under a Creative Commons licence |. See also: Data Visualisation according to a Four-year-old. Cartograms. © peterjamesthomas.com Ltd.

Sales 61

Sales Measurement Statistics Data Architecture 61

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. and implications of findings) than in statistical significance. But it can be overwhelming to get started with data visualization.

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. However, in 2014, 2015 the editors were falling in love with Slack.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. Starting with Python 3.0 The result?

Machine Learning 363

Machine Learning Software Testing Technology 363