CIO Business Intelligence

APRIL 2, 2024

When devops teams release changes to applications, dashboards, and other technology capabilities, end-users experience a productivity dip before people effectively leverage new capabilities. This dip delays when the business can start realizing the value delivered.

Management 125

Management Digital Transformation Testing Experimentation 125

CIO Business Intelligence

JUNE 16, 2022

Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. If data is difficult to work with, experimentation slows down, and consequently, so does innovation.

IT 128

IT Experimentation IoT Data-driven 128

IBM Big Data Hub

OCTOBER 4, 2022

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation. Dynamic dashboards provide clear, concise customizable results that enable a robust set of workflows, enhanced collaboration and helps to drive business compliance across multiple regions and geographies.

Metadata 101

Metadata Risk Risk Management Experimentation 101

Sisense

MARCH 26, 2021

Some of those hurdles are overcome via dashboards, but they sit in a system several layers removed from anything that many people normally interact with. Once users have navigated to a dashboard, they need to distinguish their desired data point from within a lot of noise.

Analytics 98

Analytics Data-driven Dashboards Experimentation 98

DataKitchen

OCTOBER 5, 2021

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. We find it helpful to think of data operations as a factory.

Testing 157

Testing Dashboards Measurement Experimentation 157

DataRobot Blog

FEBRUARY 28, 2023

They can enjoy a hosted experience with code snippets, versioning, and simple environment management for rapid AI experimentation. The DataRobot MLOps dashboards present the model’s health, data drift, and accuracy over time and can help determine model accountability. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture.

Management 332

Management Machine Learning Experimentation Metrics 332

Octopai

MAY 2, 2022

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

FineReport

DECEMBER 19, 2019

Taking FineReport as an example, it is a BI reporting tool that can connect to various data sources, quickly analyze the data, and make various reports and cool dashboards. Dashboard of FineReport. For the super rookie, the learning cost and threshold are relatively low, and it is easy to get started. Reporting of FineReport.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

DataRobot

FEBRUARY 17, 2021

She uses data and analytics to clean up those messes, whether it’s creating a dashboard that displays patient flows through the military hospital or finding ways to implement predictive maintenance. There is a whole section of the Army that is focused on research and development and experimentation.”. Our strategic objectives are huge.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

Cloudera

APRIL 9, 2021

Reporting – data warehousing & dashboarding. To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. Here are the key stages: . Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

AWS Big Data

JANUARY 9, 2024

The OpenSearch Compare Search Results tool The Compare Search Results tool, generally available in OpenSearch Service version 2.11, allows you to compare search results from two ranking techniques side by side, in OpenSearch Dashboards, to determine whether one query produces better results than the other.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. If you’ve created a useful reporting process or dashboard segment, no one need ever waste time reinventing it. What DataOps best practices put you on track to achieving this ideal?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Smarten

NOVEMBER 3, 2017

The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Depict Data Studio

JULY 13, 2021

Data Teams are for answering questions in real life; experimental design and statistics are for answering scientific questions. ( Tableau is great for being able to create dashboards you can manipulate and post on the web. Ask us more about Data Teams! We love to talk about them!). You HAVE TO GRAPH Your Data to See How it Looks.

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. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. The Ultimate Web Analytics Data Reconciliation Checklist. Go Get Your Own. Got Surveys?

KPI 124

KPI Metrics Measurement ROI 124

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Also, the people at Indigo Slate are great. As I like to say, “I came for the platform. I stayed for the people.”

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

AWS Big Data

FEBRUARY 12, 2024

By leveraging the Amazon Redshift materialized views, Gupshup has been able to dramatically improve query performance on recurring and predictable workloads, such as dashboard queries from Business Intelligence (BI) tools. They also use Redshift to directly power some of their high-concurrency dashboards.

Data Warehouse 96

Data Warehouse Analytics Snapshot Cost-Benefit 96

CIO Business Intelligence

APRIL 18, 2022

They use dashboards to monitor value. Companies that make effective use of dashboards are more likely to succeed at digital transformation, according to a new brief from the MIT Center for Information Systems Research. They invest in cloud experimentation. This will elevate digital trust.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

O'Reilly on Data

OCTOBER 19, 2021

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Besides infrastructure, effective A/B testing requires a control plane, a modern experimentation platform, such as StatSig. This approach is not novel.

IT 346

IT Testing Experimentation Software 346

Occam's Razor

JULY 24, 2018

Ignore the metrics produced as an experimental exercise nine months ago. Or, a VP wants two more histograms that represent seven dimensions squeezed into her one page dashboard. Are the metrics on your VP Dashboards/Slides the ones in Super Strategic cluster? Ignore the metrics you wish you were analyzing, but don’t currently.

Analytics 93

Analytics Metrics Strategy Measurement 93

datapine

FEBRUARY 4, 2020

That said, we will go into details of a marketing campaign report, provide a digital marketing report template, and look into marketing reporting and analysis with the help of carefully created dashboards. It shows how targets are performing in a monthly view, but the user can easily set this marketing dashboard to a yearly time frame.

Reporting 280

Reporting Marketing Advertising Metrics 280

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. They are all things I love and have repeatedly asked you to care for. and get stuff fixed. Testing Kills/Delays Good Ideas. It is very expensive.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

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

FineReport

APRIL 24, 2024

Regional Sales Management Dashboard by FineReport Book A Demo Furthermore, color can evoke emotional responses and associations, adding depth to the storytelling aspect of data visualization. Each of these tools has its strengths, such as interactive dashboards , robust data connectivity, and advanced customization options.

Visualization 52

Visualization Dashboards Interactive Data-driven 52

CIO Business Intelligence

JULY 17, 2023

Currently, we have not implemented any full-fledged AI solutions, but internal discussions with the management are underway to develop dashboard solutions with data analytics. How do you foster a culture of innovation and experimentation in your team to ensure consistent learning, and achievement of your digital transformation goals?

IT 92

IT Digital Transformation IoT Internet of Things 92

Occam's Razor

JUNE 6, 2007

Experimentation & Testing (A/B, Multivariate, you name it). Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization. It is a book about Web Analytics 2.0. Qualitative and quantitative. Clicks and outcomes. RSS and RIA's.

Analytics 60

Analytics Metrics Marketing Dashboards 60

IBM Big Data Hub

JANUARY 17, 2023

From there, it can be easily accessed via dashboards by data consumers or those building into a data product. AI is no longer experimental. The kind of digital transformation that an organization gets with data integration ensures that the right data can be delivered to the right person at the right time. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

Occam's Razor

NOVEMBER 13, 2009

Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation. Behavior targeting, dashboards, accuracy, data mining, predictive analytics, and, the thing you'll appreciate the most IMHO, five steps for intelligent analytics evolution! You get a jump start. The thing you'll adore: Pages 190 – 192.

Analytics 71

Analytics Metrics Measurement Testing 71

AWS Big Data

OCTOBER 4, 2023

Cataloged assets can represent a consumable unit of asset that may include a table, a dashboard, an ML model, or a SQL code block that shows the query behind the dashboard.

Metadata 96

Metadata Data Lake Publishing Data Governance 96

IBM Big Data Hub

OCTOBER 20, 2023

Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

DataKitchen

APRIL 13, 2021

Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management. Production Monitoring Only. ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Kubeflow — The Machine Learning Toolkit for Kubernetes.

Testing 307

Testing Machine Learning Consulting Data Quality 307

O'Reilly on Data

JULY 25, 2023

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. I found it easier to keep a single conversational flow within ChatGPT rather than switching between multiple tools.

Consulting 246

Consulting Interactive Software IT 246

Sisense

JULY 15, 2020

This article will focus on the AI Research (AIR) team’s effort, specifically an experimental combination of Sisense BloX (actionable embedded analytics ) and Quest (an advanced analytics add-on for Sisense) which we called the SEIR app. Finally, design and style your Sisense BloX widget to complement your dashboard.

Analytics 90

Analytics Modeling Visualization Dashboards 90

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. I don’t just mean like metric dashboards as to how your model is doing.

Management 110

Management Machine Learning Experimentation Metrics 110

Decision Management Solutions

JUNE 25, 2019

Her presentation really showed the importance of persistence, experimentation and lateral thinking in developing an analytic solution. Lily Quinto-Banton , Associate Director of Data Science, Humana Military presented on How a Single Question and a Healthy Dose of Skepticism Inspired Us to Use Analytics to Rethink Strategy.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Domino Data Lab

JUNE 10, 2020

By allowing data science teams to focus on monitoring of potential “at-risk” models, they have more time for experimentation and problem-solving. And IT teams can sleep easier knowing that they have everything they need to deeply understand model performance in an easy-to-understand dashboard. In Domino 4.2

Data Science 82

Data Science Enterprise Experimentation Modeling 82