AWS Big Data

AUGUST 7, 2023

Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. About the authors Tahir Aziz is an Analytics Solution Architect at AWS. and Karra Taniskidou, E.

Forecasting 84

Forecasting Data Warehouse Machine Learning Modeling 84

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? So, be a dear.

Metrics 141

Metrics Reporting Analytics Marketing 141

datapine

MAY 11, 2022

Visualization plays an important part in data analytics and helps interpret big data in a real-time structure by utilizing complex sets of numerical or factual figures. Recent studies discovered that the use of visualizations in data analytics could shorten business meetings by 24%. back on every dollar spent. Know Your Audience.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

Smarten

JANUARY 7, 2020

Disparate data sources are integrated into a uniform view, so users can drag and drop data and interact with the tools. Every business understands the value of objective metrics and accurate analysis and the modern BI environment is designed to support these goals at every level of the organization.

IT 52

IT Business Intelligence ROI Reporting 52

Peter James Thomas

AUGUST 12, 2018

Pertinence and fidelity of metrics developed from Data. Metrics are seldom reliant on just one data element, but are often rather combinations. There are often compromises to be made in defining metrics. Again see Using BI to drive improvements in data quality for further details. Some of these are based on the data available.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Rita Sallam

NOVEMBER 11, 2016

Perhaps because 20% of attendees self-identified as either in IT or Data and Analytics leadership roles – and, admittedly,, we are a more boring bunch. What’s on Deck for 2017? This new engine will replace the.TDE by end of 2017. Nearer-term in 2017, Tableau’s Live Query Agent features will be the most important.

Visualization 49

Visualization Metrics Machine Learning Enterprise 49

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. 2] Bayraktar, Erhan and Munk, Alexander, Mini-Flash Crashes, Model Risk, and Optimal Execution (May 27, 2017).

Risk 98

Risk Marketing Risk Management Data-driven 98

Smarten

APRIL 24, 2019

The Merriam-Webster dictionary defines the word ‘augment’ this way: ‘to make greater, more numerous, larger or more intense’ If you are wondering how this applies to the term ‘augmented analytics’, you are not alone. What is Augmented Analytics? Users can compare results against plans and forecasts.

Business Intelligence 0

Business Intelligence Analytics IT Metrics 0

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? Katherine Twomey, Gert Westermann (2017). This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Business Over Broadway

DECEMBER 20, 2018

Using Predictive Analytics and Artificial Intelligence to Improve Customer Loyalty – As users/customers engage with a company (their products, services, surveys), they generate a lot of data about their behaviors and interactions with the brand. Data Science/Analytics Tools, Technologies and Languages used in 2017.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. The analytics trends in data quality grew greatly this past year.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

JUNE 7, 2017

If someone bothers to interact with the post, the posted comment is a spam or totally useless. Which in turn lead to even fewer customer interactions for content posted by brands. To give you some context as to how insanely lame these numbers are, Expedia.com received 59,400,000 Visits in May 2017. They keep posting.

Advertising 162

Advertising Marketing B2B ROI 162

Alation

AUGUST 26, 2021

Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more. HBR Review May/June 2017. Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data.

Metadata 64

Metadata Data Governance Dashboards Software 64

Occam's Razor

JULY 13, 2017

By design none of them from the world of digital analytics, though I’ll stay connected to that world from a how could you use this idea perspective. The sixteen examples neatly fall into nine strategies I hope you’ll cultivate in your analytics practice as you create data visualizations: 1: The Simplicity Obsession. Tweet that.

Visualization 124

Visualization Strategy Interactive Statistics 124

Domino Data Lab

SEPTEMBER 9, 2019

This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries. Here’s an interactive visualization for understanding texts: scattertext , a product of the genius of Jason Kessler. Introduction.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110