Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Reporting – data warehousing & dashboarding. A/B testing). The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. And this blog will focus on Predictive Analytics.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Depict Data Studio

JULY 13, 2021

In the science world, if you have a small group of people and do not find statistical significance, one thing you can do is test a much bigger group! Using scientific methods to test hypotheses (which are what statistics test) are what scientists do; delivering programming and tracking client progress is what nonprofit practitioners do.

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Occam's Razor

AUGUST 22, 2011

The "Action Dashboard" (An Alternative To Crappy Dashboards). Five Rules for High Impact Web Analytics Dashboards. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007. The Awesome Power of Data Visualization. Five Reasons And Awesome Testing Ideas.

KPI 124

KPI Metrics Measurement ROI 124

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. Lab usability testing and online surveys both provide great strategies to obsess about user centric design. United Breaks Hearts.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

DataKitchen

APRIL 13, 2021

Testing and Data Observability. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 307

Testing Machine Learning Consulting Data Quality 307

CIO Business Intelligence

MARCH 7, 2023

While many organizations are successful with agile and Scrum, and I believe agile experimentation is the cornerstone of driving digital transformation, there isn’t a one-size-fits-all approach. Here are some force-multiplying differences achievable by agile data teams: Want that dashboard, then update the data catalog.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. 1) Web Analytics Report.

Reporting 280

Reporting Marketing Advertising Metrics 280

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software IT 246

Sisense

MAY 18, 2021

However, as Deven states, avoiding data insights and going with your gut is like choosing all the wrong answers on a test despite your professor giving you the right ones. When you discover data that means something, you need to be agile enough to make experimental changes.”. Data visualizations are graphic representations of data.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Occam's Razor

FEBRUARY 7, 2011

I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. please refer to the controlled experimentation section, page 205, in the book for more. And to visualize it in a report.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: In service of report creation the job includes: Pulling data, writing queries, fulfilling ad-hoc requests, scheduling data outputs (reports, dashboards), liaising with script implementers / IT teams to collect more data, etc.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Smarten

DECEMBER 11, 2017

Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist. Advanced Data Discovery ensures data democratization and can drastically reduce the time and cost of analysis and experimentation. Advanced Data Discovery Can and Should Be Available to All!

Experimentation 65

Experimentation Statistics Visualization Dashboards 65

Smarten

MAY 11, 2017

The Smarten Advanced Data Discovery gives users the freedom to leverage data beyond simple visual data analysis and dashboards. Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist, ETL or developer.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

Smarten

JULY 3, 2017

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization. It’s simple!

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40