CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Its cloud-hosted tool manages customer communications to deliver the right messages at times when they can be absorbed. Of course, marketing also works.

Management 140

Management Advertising Data Lake Sales 140

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. Here, day-of-week is a time-based confounder.

Experimentation 95

Experimentation Statistics Testing Strategy 95

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 Design for ‘bigger fingers’: With mobile platforms especially, people will use their fingers to interact with your dashboards – and of course, peoples’ fingers come in a host of shapes and sizes. We live in a mobile world. Sales mobile dashboard example.

Dashboards 112

Dashboards Visualization Metrics KPI 112

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

AWS Big Data

OCTOBER 18, 2023

Choose Test connection to verify that AWS SCT can connect to your source Azure Synapse project. Choose Test connection to verify that AWS SCT can connect to your target Redshift workgroup. When the test is successful, choose OK. to indicate local host. Choose Test connection. Choose Test Task.

Analytics 99

Analytics Data Warehouse Testing Dashboards 99

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. It’s generated by a host of sources in different ways.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The majority (72%) of enterprises that use APIs for model access use models hosted on their cloud service providers. Example : A patient visits a doctor with concerning symptoms.

Cost-Benefit 94

Cost-Benefit Modeling Manufacturing Interactive 94

IBM Big Data Hub

DECEMBER 4, 2023

Risk management To make underwriting decisions related to property, insurance companies gather a significant amount of external data, including the property data provided in insurance application forms, historical records of floods, hurricanes, fire incidents and crime statistics for the specific location of the property.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

CDW Research Hub

AUGUST 14, 2020

This requires coordination across multiple teams to get all of these applied and tested within the various environments, so don’t leave it to the last minute. What about external penetration testing for potential threats and vulnerabilities? And if they are, plan extra time for testing. Performance testing & tuning.

Testing 52

Testing Optimization Strategy Statistics 52

Domino Data Lab

JULY 10, 2019

This blog also provides code examples with a Jupyter notebook that you can download or run via hosting provided by Domino. Beginning their analytical strategy with a data type abstraction allowed the Uber engineering team to better integrate deep learning best practices for model training, validation, testing and deployment.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

CIO Business Intelligence

JUNE 14, 2022

Whitehall has expressed a desire to move to a buy once, use many times approach to technology as well as ensuring that nationally important systems are resilience tested annually. One Login would replace the 180 different accounts and 44 different sign-on methods you would theoretically need to access all government services. .

Strategy 96

Strategy IT Digital Transformation Data Processing 96

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

AWS Big Data

JUNE 15, 2023

Follow along In the following examples, we often refer to two out-of-the-box sample topics, Product Sales and Student Enrollment Statistics , so you can follow along as you go. For example, in the student enrollment statistics example, Q already set Home of Origin as Location so if someone asks “where,” Q knows to use this field (Figure 6).

Sales 69

Sales Dashboards Visualization Testing 69

CDW Research Hub

AUGUST 19, 2019

This includes fulfillment providers, CDN, networking and infrastructure, hosting providers (as applicable), security team leadership, payment processors, media asset delivery providers, call centers, monitoring teams, application support teams, application vendor and product teams, marketing and merchandising teams, etc.

Testing 49

Testing Optimization Data Processing Strategy 49

datapine

JULY 17, 2019

Also, explore our guide to KPI management and learn from a host of helpful best practices. The financial loss and profit dashboard hones in on gross profit margin, OPEX ratio, operating profit margin, and net profit margin, offering a host of bespoke information at your fingertips. Quick Ratio / Acid Test. click to enlarge**.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

AWS Big Data

NOVEMBER 8, 2023

The 3-node RA3 16XL provisioned cluster that had previously been hosting their warehouse was taking around 12 hours to ingest this data to Amazon Redshift , and Gilead was looking to optimize the data ingestion process in a more dynamic manner. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 78

Data Lake Data Warehouse Cost-Benefit Optimization 78

O'Reilly on Data

JANUARY 25, 2021

Both SRE and DevOps emphasize similar practices: version control (62% growth for GitHub, and 48% for Git), testing (high usage, though no year-over-year growth), continuous deployment (down 20%), monitoring (up 9%), and observability (up 128%). It’s particularly difficult if testing includes issues like fairness and bias.

Machine Learning 363

Machine Learning Software Testing Technology 363

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. Also known as data validation, integrity refers to the structural testing of data to ensure that the data complies with procedures. Your Chance: Want to test a professional analytics software?

Data Quality 241

Data Quality Metrics Data-driven Management 241

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

JUNE 4, 2018

I mean developing and inserting a subtle collection of gentle nudges that can help increase the conversion rate by a statistically significant amount. Social cues (/proof) can help create a sense of urgency for a whole host of companies. Such is the case with A/B testing. I don’t mean: BUY IT NOW OR ELSE! Sizing the Opportunity.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Rita Sallam

APRIL 2, 2023

SAS created, on top of the traditional statistical and machine learning models to predict events, a set of four unique models specifically focused on helping people impacted by flooding: An optimization network model (cost network flow algorithm) to optimally help displaced people reach public shelters and safer areas.

Optimization 52

Optimization Machine Learning Insurance Risk 52

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

datapine

MARCH 22, 2019

For instance, if you’re offering a free test or trial of a product or service online, you’ll be able to capture NPS-based data and understand how to evolve your offerings to better meet the needs of your consumers. We see our customers as invited guests to a party, and we are the hosts. Primary KPIs: Top Agents. Utilization Rate.

Metrics 134

Metrics Dashboards Measurement Interactive 134

bridgei2i

JANUARY 25, 2022

I’m your host for the day, Janci Rani, and I’m here representing people who are thriving to enter the domain of data science. The only thing is, you know, I understand what we do understand that, you know, using statistics using coding and everything, we will do amazing stuff. So I asked him one.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

Domino Data Lab

JULY 9, 2019

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems. And we can do that.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Your Chance: Want to test a powerful data visualization software? 14) “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau. click for book source**.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. Survey CTO One common way to test market sentiment is to gather information directly from customers.

Management 102

Management Advertising Data Lake Sales 102

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

Occam's Razor

DECEMBER 3, 2008

Your deep understanding of statistics etc is not required. Some companies have inhouse (hosted) solutions (javascript tag based or log file based). Understanding ecosystem. Business strategy. Trinity type execution of measurement. Smooth talker (sorry, "effective communicator") etc. Javascript hacking skills are optional.

Analytics 115

Analytics Consulting Metrics Reporting 115

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. Storytelling is a nice one to use early on to test the approach. But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. Yes, and no.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. We were excited to see our TPC benchmarking results and additional benchmarking tests. Co-developing with customers in gaming, banking and ridesharing.

Data-driven 73

Data-driven Data Warehouse Data Processing Marketing 73

datapine

MAY 17, 2021

Your Chance: Want to test a professional data discovery tool for free? Your Chance: Want to test a professional data discovery tool for free? While every organization is inherently different and one size certainly doesn’t fit all, there are a host of pain points that often cross over from one organization to another.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

MAY 1, 2023

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Some cloud applications can even provide new benchmarks based on customer data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52