CIO Business Intelligence

APRIL 26, 2023

Experimentation broadens expertise, particularly in a rapidly evolving field like technology where being able to learn many new skills is key to both career and enterprise success, he says. Some people are visual thinkers, while others are more analytical or creative,” Kumar says. Perspectives matter, he notes. IT Training

IT 106

IT Experimentation Forecasting Technology 106

O'Reilly on Data

APRIL 19, 2021

The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. This is almost exactly in line with the results from 2020, where 25% of the respondents reported that they had products in production (“Mature” wasn’t a possible response in the 2020 survey.). Bottlenecks to AI adoption.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

datapine

FEBRUARY 4, 2020

An important part of a successful business strategy is utilizing a modern data analysis tool and implementing a marketing report in its core procedures that will become the beating heart of acquiring customers, researching the market, providing detailed data insights into the most valuable information for any business: is our performance on track?

Reporting 280

Reporting Marketing Advertising Metrics 280

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. The data analyst’s products are charts, graphs and visualizations. Make reports on every aspect of the data team’s processes and the data lifecycle. What is DataOps. Low error rates. Their product is the data.

Testing 152

Testing Dashboards Measurement Experimentation 152

Domino Data Lab

JUNE 13, 2019

“Hundreds of publications report increasingly good performance on this same test set [10,000 samples]. Visually examine the poorest matches, trying to understand what the MNIST authors could have done differently to justify these differences without at the same time changing the existing close matches.

Testing 83

Testing Data Science Experimentation Metadata 83

FineReport

APRIL 24, 2024

Learn Data Visualization Understanding the Importance of Visualizing Data Data visualization is a powerful tool for conveying complex information in a clear and impactful manner. Whether it’s through charts, graphs, maps, or other visual formats, mastering data visualization is crucial for anyone working with data.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

DataRobot

APRIL 19, 2021

They need data assembly, data science, integration, and visualization skills. In “ Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning ,” the authors report the results of two experiments.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Reporting – data warehousing & dashboarding. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They cannot process language inputs generally.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smarten

NOVEMBER 3, 2017

Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. Code (62%) : Gen AI helps developers write code more efficiently and with fewer errors.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

Ontotext

JULY 6, 2023

Connected Inventory Ontotext’s Connected Inventory integrates data from various sources, which enables efficient reporting. Experimentation with different technical analysis services becomes possible. It incorporates the knowledge of Subject Matter Experts and ensures accurate sentiment measurements.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

FineReport

DECEMBER 11, 2019

Follow FineReport Reporting Software on Facebook to know more about data visualization! . – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton. – Data Divination: Big Data Strategies. You might also be interested in….

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Jet Global

DECEMBER 31, 2019

They range from automating repeatable processes to improved analytics and reporting, to better integration with other organizational functions. Organizations need to become really comfortable with experimentation. The innovation process, where experimentation might live in an organization, has grown in popularity in the last few years.

Digital Transformation 59

Digital Transformation Finance Experimentation Data-driven 59

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The drug under investigation is an anti-inflammatory agent, and the study looks at self-reported pain relief and plasma concentration over time. In this tutorial we will use JupyterLab.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Depict Data Studio

JULY 13, 2021

Qualitative analysis basically means you are looking for patterns and changes in patterns in both your numbers data (what people report on surveys) and your stories data (what people tell you in words). Data Teams are for answering questions in real life; experimental design and statistics are for answering scientific questions. (

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Did your data consumer just tell you about a visualization that she really could use in making an upcoming critical business decision? Let’s take a look. Six DataOps best practices.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Occam's Razor

AUGUST 22, 2011

Delibrate Your Data, Dig Into Your Data, Reimagine Content Reporting. The Difference Between Web Reporting And Web Analysis. Refuse Report Requests. Consultants, Analysts: Present Impactful Analysis, Insightful Reports. Six Data Visualizations That Rock! The Awesome Power of Data Visualization.

KPI 124

KPI Metrics Measurement ROI 124

Alation

SEPTEMBER 28, 2022

Monitoring and reporting of processes. This includes everything from data storage and warehousing solutions to artificial intelligence and analytics reporting tools. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Easy-to-experiment data development environment. Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. I’ve intended to create a simple visual that absorbs the scale, complexity and many moving parts. That’s because we have to talk about tools (so many!), via automation).

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

JULY 6, 2016

Today's post is an adjacent mistake: The cardinal sin of spending too much time with data and in reports! 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. Everything's Fine.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. While that’s a limitation, there are reports of promised functionality not yet available.

Cost-Benefit 125

Cost-Benefit Advertising Experimentation Software 125

CIO Business Intelligence

MARCH 7, 2023

Tech companies have laid off over 250 thousand employees since 2022, and 93% of CEOs report preparing for a US recession over the next 12 to 18 months. Then, often reporting to risk, compliance, or security organizations, are separate data governance teams focused on data security, privacy, and quality.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

Occam's Razor

SEPTEMBER 30, 2013

Visuals, because if I can paint a simple picture about something complex it means I understand it and in turn I can explain it to others. Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. And you have!). People and companies.

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

IBM Big Data Hub

OCTOBER 20, 2023

Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

DataRobot

SEPTEMBER 14, 2021

But the reality is that success with AI often falls short: 87% of organizations struggle with long deployment cycles, according to an upcoming report by Algorithmia. And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. New Flows to Automate Complex Decision Logic.

Machine Learning 94

Machine Learning Modeling Experimentation Visualization 94

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Occam's Razor

AUGUST 12, 2013

I normally ask people to look at the Path Length report in the Multi-Channel Funnels standard report in Google Analytics (or equivalent tool if you are using SiteCatalyst or WebTrends or other web analytics tools). The simplest way to start is to look at your Assisted Conversions report in Google Analytics. From a Venn -diagram.

Modeling 161

Modeling Optimization Marketing Interactive 161

DataRobot Blog

SEPTEMBER 30, 2022

Adoption of AI/ML is maturing from experimentation to deployment. Visualize Data Drift Over Time to Maintain Model Integrity. DataRobot MLOps offers user-friendly visuals to track data drift over time. These stats report a complete view of models in production and must be automatically monitored to keep an eye on performance.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

Occam's Razor

SEPTEMBER 13, 2016

If you are open to being challenged… then here are the short-stories inside this post… The World Needs Reporting Squirrels. The World Needs Reporting Squirrels. If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Visual perception of information. Bottom-line.

Modeling 127

Modeling Reporting Strategy Consulting 127

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Cloudera

NOVEMBER 25, 2020

Traditional systems are siloed, hard to access and often structured to serve traditional reports. A discovery data warehouse is a modern data warehouse that easily allows for augmentation of existing reports and structured data with new unstructured data types, and that can flexibly scale with volume and compute needs.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Developers report being more productive and less frustrated when using GitHub Copilot, and Microsoft says 40% of the code Copilot users check in is AI-generated and unmodified.

Modeling 111

Modeling Testing Cost-Benefit Experimentation 111

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

FEBRUARY 7, 2011

I open GA's keyword report. For paid search keyword reporting (volumes, competitive performance, CPS's etc.) 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.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

OCTOBER 23, 2006

6 Reporting is not Analysis. # Core Message : The most common mistake in web analytics is to slap a clickstream tool (Omniture, WebTrends, HBX / WebSideStory, CoreMetrics etc) on the website and to start sending reports chock full of clickstream kpi’s out. 6 Reporting is not Analysis. Refuse Report Requests.

Data-driven 117

Data-driven Metrics KPI Reporting 117

Occam's Razor

MAY 27, 2015

It is an investment in numerous report writers or data (puking) automation or hiring a small army in India or Philippines to do that, before investing in any smart Analyst. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Climb up the ladder some more. < /A > ].

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153