datapine

JUNE 13, 2019

Using daily and/or weekly sales reports with your team may be the single most powerful action you can take to increase your team’s performance. So they taste test frequently throughout the whole process. What Is A Sales Report? Sales reports help in finding potential new market opportunities where they could improve the results.

Sales 264

Sales Reporting KPI B2B 264

CIO Business Intelligence

JANUARY 18, 2024

Recognizing this need, we have created a cutting-edge VSM maturity model. Drawing upon our extensive experience facilitating successful VSM initiatives within large-scale enterprises, this model serves as a compass, offering insights into their current VSM maturity and providing practical direction to advance and reap the additional benefits.

Digital Transformation 103

Digital Transformation Modeling Management Data-driven 103

Analytics Vidhya

JULY 25, 2023

Microsoft’s Bing Chat, the AI-powered chatbot, is breaking out of its Microsoft-exclusive boundaries and is now being tested on non-Microsoft browsers. Excitement surrounds this move as Bing Chat, powered by OpenAI’s GPT-4 model, promises a seamless conversational experience.

Testing 185

Testing Reporting Modeling Analytics 185

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 198

Machine Learning Modeling Testing Risk Management 198

O'Reilly on Data

JUNE 15, 2023

The world changed on November 30, 2022 as surely as it did on August 12, 1908 when the first Model T left the Ford assembly line. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. This is unacceptable.

Metrics 292

Metrics Reporting Measurement Finance 292

O'Reilly on Data

OCTOBER 30, 2023

While I am heartened to hear that the Executive Order on AI uses the Defense Production Act to compel disclosure of various data from the development of large AI models, these disclosures do not go far enough. These include: What data sources the model is trained on. Operational Metrics.

Measurement 307

Measurement Risk Modeling Metrics 307

CIO Business Intelligence

MARCH 6, 2024

What has IT’s role been in the transformation to a SaaS model? We built that end-to-end data model and process from scratch while we ran the old business. We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. Today, we’re a $1.6 Today, we’re a $1.6

Modeling 107

Modeling Management IT Metrics 107

Paul Turley

OCTOBER 10, 2020

Moving important business data into a data model for analytic reporting can often be a two-edge sword. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. not exactly scientific. not exactly scientific.

Modeling 145

Modeling Dashboards Testing Visualization 145

Paul Turley

OCTOBER 18, 2020

Moving important business data into a data model for analytic reporting can often be a two-edge sword. But, data in the model may be one or two layers away from the original source data, making it more challenging to compare with familiar user reports. not exactly scientific. not exactly scientific.

Modeling 144

Modeling Dashboards Testing Visualization 144

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

DataKitchen

MAY 10, 2024

Development : Observability in development includes conducting regression tests and impact assessments when new code, tools, or configurations are introduced, helping maintain system integrity as new code of data sets are introduced into production. Are production models accurate, and do dashboards display correct data?

Testing 124

Testing Metrics Data Quality Dashboards 124

CIO Business Intelligence

MARCH 25, 2024

Modern digital organisations tend to use an agile approach to delivery, with cross-functional teams, product-based operating models , and persistent funding. But to deliver transformative initiatives, CIOs need to embrace the agile, product-based approach, and that means convincing the CFO to switch to a persistent funding model.

Modeling 117

Modeling Cost-Benefit IT ROI 117

Sisense

JANUARY 6, 2021

What are white-labeled reports White-label reports: Under the hood Exploring white-label dashboards Use case snapshots Horsepower under the hood. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time.

Dashboards 119

Dashboards Reporting Snapshot Visualization 119

DataRobot

MAY 27, 2021

Michael earned his MD and PhD degrees from Emory University, and today his research combines mathematical and epidemiological models with high-throughput phage-display–based serological laboratory investigations. In particular, Mina believes that our failure to test effectively has allowed COVID-19 to spread.

Testing 98

Testing Machine Learning Measurement Publishing 98

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

Risk 111

Risk Modeling IT Risk Management 111

Jet Global

OCTOBER 31, 2023

If you are looking for a reporting solution that can handle complex data and deliver fast results, you might want to check out Jet Reports version 23.3, Jet Reports 23.3 comes with significant performance improvements that make your reporting experience faster and smoother than ever. How Fast Is Jet Reports 23.3?

Reporting 52

Reporting Data Processing Dashboards Optimization 52

Juice Analytics

JANUARY 18, 2022

Customer reporting is one of the most under-appreciated touch-points that service and solution companies have. Whether it is a weekly status update or a performance dashboard, reporting can be an opportunity to demonstrate expertise and value. How can you take advantage of your reporting efforts? Learn from: Email subject lines.

Reporting 88

Reporting Metrics Dashboards Testing 88

DataKitchen

SEPTEMBER 20, 2021

The best way to ensure error-free execution of data production is through automated testing and monitoring. The DataKitchen Platform enables data teams to integrate testing and observability into data pipeline orchestrations. Automated tests work 24×7 to ensure that the results of each processing stage are accurate and correct.

Testing 246

Testing Metrics Measurement Dashboards 246

O'Reilly on Data

FEBRUARY 16, 2023

It might be easy to dismiss these stories as anecdotal at best, fraudulent at worst, but I’ve seen many reports from beta testers who managed to duplicate them. That’s what beta tests are for. Large language models like ChatGPT and Google’s LaMDA aren’t designed to give correct results.

Testing 220

Testing Statistics Modeling Optimization 220

Cloudera

OCTOBER 20, 2021

Stress testing was heavily scrutinized in the post 2008 financial crisis. In a BIS advisory report , it was highlighted that the stress testing scenarios used by the banks were insufficient to capture the extreme risks and fluctuations that were realized. Transition : the changes in asset values, business models, etc. (ex.

Risk 80

Risk Modeling Risk Management Measurement 80

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

CIO Business Intelligence

MARCH 5, 2024

India’s Ministry of Electronics and Information Technology (MeitY) has caused consternation with its stern reminder to makers and users of large language models (LLMs) of their obligations under the country’s IT Act, after Google’s Gemini model was prompted to make derogatory remarks about Indian Prime Minister Narendra Modi.

Testing 122

Testing Modeling Cost-Benefit Reporting 122

CIO Business Intelligence

MAY 30, 2024

The State of Generative AI in the Enterprise report from Deloitte found that 75% of organizations expect generative AI technology to impact talent strategies within the next two years, and 32% of organizations that reported “very high” levels of generative AI expertise are already on course to make those changes.

Digital Transformation 136

Digital Transformation Machine Learning Software Testing 136

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Data and tool tests.

Testing 130

Testing Statistics Measurement Metrics 130

AWS Big Data

MAY 25, 2023

This team is allowed to create AWS Glue for Spark jobs in development, test, and production environments. During testing, one of the jobs wasn’t configured to automatically scale its compute resources, resulting in jobs timing out, costing the organization more than anticipated.

Reporting 69

Reporting Metrics Optimization Data Lake 69

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 262

Modeling Software Sales Statistics 262

DataKitchen

MARCH 12, 2024

We kept adding tests over time; it has been several years since we’ve had any major glitches. DataKitchen helped us completely transform our operations by broadening our testing definition. Tests assess important questions, such as “Is the data correct?” Data errors can cause compliance risks.

Metrics 117

Metrics Software Cost-Benefit Testing 117

DataKitchen

NOVEMBER 20, 2021

A DataOps Engineer can make test data available on demand. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed. It then autogenerates QC tests based on those rules. You can track, measure and create graphs and reporting in an automated way.

Testing 246

Testing Machine Learning Data Warehouse Reporting 246

erwin

MARCH 12, 2020

The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management. In addition, customers want to ensure platforms are secure with sound coding practices and testing. Guess what?

Enterprise 85

Enterprise Reporting Management ROI 85

DataKitchen

AUGUST 8, 2023

Which report tab is wrong? Which production job filled that report? Are problems with data tests? And as any developer knows, you can’t ship code based on static tests. You must dynamically test the code. Monitoring and testing the data to ensure its reliability continually is crucial. Did it fail?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. Collaboratively develop reports.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

NOVEMBER 30, 2021

We found that organizations with clear strategies in place for longer than a year indeed report higher profit growth , with 96% of senior business decision makers reporting data strategies as essential to their organizations’ positive performance. The Enterprise Data Maturity Model – Putting resiliency to the test.

Enterprise 73

Enterprise Reporting Data Strategy Strategy 73

CIO Business Intelligence

NOVEMBER 9, 2023

While it addresses a broad spectrum of objectives for the AI ecosystem and builds upon previous directives related to AI, it is not without its challenges, notably a lack of accountability and specific timelines alongside potentially over-reaching reporting requirements. Thus, additional clarity around reporting of deep R&D is needed.

Testing 122

Testing Reporting Data-driven Machine Learning 122

DataKitchen

JANUARY 2, 2021

In this report, Gartner outlines recommendations to effectively operationalize AI solutions that involve the core management competencies of ModelOps, DataOps, and DevOps. Blog: Deliver AI and ML Models at Scale with ModelOps. On-Demand Webinar: Your Model is Not an Island: Operationalize Machine Learning at Scale with ModelOps.

Testing 130

Testing Machine Learning Reporting Modeling 130