DataKitchen

AUGUST 24, 2023

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

Smart Data Collective

OCTOBER 2, 2019

According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. Either of these types of tools can provide you with performance metrics like open rates, click rates, and more. Other Campaign Tracking Metrics.

Data-driven 110

Data-driven Marketing Testing Optimization 110

CIO Business Intelligence

JULY 5, 2022

Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Optimization: Once trends have been identified and predictions made, simulation techniques can be used to test best-case scenarios. Prescriptive analytics: What do we need to do?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. Another increasing factor in the future of business intelligence is testing AI in a duel. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

MARCH 10, 2021

Gartner reports that 37% of companies used AI in the workplace in 2019. One of the fastest-growing (primarily B2C) industries is eCommerce and it’s also one of the biggest testing grounds for AI implementations. A growing number of companies have become dependent on AI technology. That figure will likely rise in the near future.

Cost-Benefit 143

Cost-Benefit Big Data Metrics Technology 143

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We need to get to the root of the problem. Model Drift.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

CIO Business Intelligence

MAY 27, 2024

Case Study: Capital One Data Breach In 2019, Capital One experienced a data breach that exposed the personal information of over 100 million customers. According to the Ponemon Institute’s 2023 Cost of Data Breach Report , organizations with extensive incident response planning and testing programs saved $1.49

Cost-Benefit 116

Cost-Benefit Statistics ROI Measurement 116

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

For example, we may prefer one model to generate a range, but use a second scenario-based model to “stress test” the range. If the alternate model is plausible with a small probability, then we’d like to see that the “stress test” forecast scenario still falls inside the prediction interval generated from our preferred model.

Forecasting 115

Forecasting Data Science Statistics Uncertainty 115

IBM Big Data Hub

APRIL 13, 2023

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

Modeling 81

Modeling Statistics Machine Learning Testing 81

TIBCO

AUGUST 14, 2019

They look at things like the weather forecast, road elevation, and terrain, as well as their individual metrics, like cadence and heart rate, to decide when it’s time to change gears. Team TIBCO–SVB members will be in the Innovation Hub at TIBCO NOW London —stop by and say hello, or test your endurance on the TIBCO–SVB Bike Challenge!

Forecasting 85

Forecasting Strategy Metrics Testing 85

Data Science 101

MAY 6, 2019

I’ve interviewed with a lot of companies and one of the things that I always do is I just ask the recruiter: what are the metrics that you will be evaluating me on in these interviews and what topics will be covered? He asks, “How important is SQL in comparison to Python in 2019?”. So, the question is: what’s important in 2019?

Data Science 98

Data Science Machine Learning Modeling Testing 98

bridgei2i

NOVEMBER 20, 2020

Ashwini: Hmm, see, BI systems of yesteryears provided good visibility on key metrics, but they were descriptive at best and had clear challenges as we started asking for more. Too many reports and metrics, but low clarity on what really needs attention. Do you see a similar challenge among your clients as well?

Risk Management 92

Risk Management Risk Management Metrics 92

Smart Data Collective

JULY 26, 2021

You can look at various metrics to see which employees are most effective at various tasks and make data-driven decisions on hiring. dollars in 2019, accounting for more than 10% of the entire IT market. Data analytics has proven to be very useful for training members of your teams. Maximizing employee utility. Monitoring benchmarks.

Data Analytics 126

Data Analytics Analytics Cost-Benefit Data-driven 126

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Let’s look at a heat map of Robert Lewandowski’s play for FC Bayern Munich in its imperious 2019/2020 Bundesliga and Champions League winning season. Heat Map: Robert Lewandowski, Bayern Munich, 2019/2020 season.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. After the simulation, organizations also receive metrics on employee click rates and often follow up with additional phishing awareness training. million phishing sites.

Testing 73

Testing Measurement Behavioral Analytics Statistics 73

DataRobot

JUNE 29, 2021

Machine learning models trained on 2019 data didn’t know what to do. As part of the same process, it also generates and tests a whole host of new models and presents the top ones as recommended challengers. This type of capability would have been handy in 2020 when the pandemic really kicked in and the lockdowns started.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Occam's Razor

JANUARY 7, 2019

To help kick-start your 2019 step change , I’ve written two “Top 10” lists, one for Marketing and one for Analytics – consisting of things I recommend you obsess about. Identify four relevant micro-outcomes to focus on in 2019. (In 2019's the year you get serious about serious analytics.

Marketing Analytics 89

Marketing Analytics Marketing Analytics Strategy 89

datapine

FEBRUARY 23, 2023

To get a clearer impression, here is a visual overview of which chart to select based on what kind of data you need to show: **click to enlarge** Your Chance: Want to test modern data visualization software for free? In our example above, we are showing Revenue by Payment Method for all of 2019.

Visualization 177

Visualization Dashboards Sales Measurement 177

Smarten

MAY 18, 2022

When a business sets goals and establishes metrics to determine the value of an analytical solution and a business user analytics initiative within the enterprise, the management team often fails to focus on the more subtle, but powerful, concept of efficacy. Which sales representative sold the most pancake mix during April 2015 to May 2019?

Data-driven 69

Data-driven Sales Metrics Analytics 69

CIO Business Intelligence

JUNE 27, 2022

Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code. We rely heavily on automated testing. You pointed to frontend as a key area in 2019. I thought, really?!

Software 115

Software Experimentation Testing Marketing 115

CIO Business Intelligence

JULY 7, 2023

The ITIL 4 was updated by Axelos in February 2019 to include a stronger emphasis on maintaining agility, flexibility, and innovation in ITSM, while still supporting legacy networks and systems. You’ll be tested on a situation of your choosing, so the material will be personal to your experience.

Cost-Benefit 98

Cost-Benefit Strategy Management Uncertainty 98

IBM Big Data Hub

DECEMBER 8, 2023

While it’s nice to be able to report to executives about the number or percentage of critical severity CVEs that have been patched, does that metric actually tell us anything about the improved resiliency of their organization? Does reducing the number of critical CVEs significantly reduce the risk of a breach?

Risk 67

Risk Testing Reporting Software 67

AWS Big Data

FEBRUARY 28, 2024

OpenSearch Ingestion is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and manage cloud resources efficiently. touch main.tf

Metrics 72

Metrics Management Software Testing 72

Sisense

JULY 8, 2020

As of 2019, according to Bissfully’s 2020 SaaS trends report , smaller companies (0-50 employees) use an average of 102 SaaS applications, while mid-sized ones (101-250 employees) use about 137 SaaS applications. Product and engineering teams dig into productivity metrics or bug reports to help them better prioritize their resources.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Insight

MARCH 25, 2019

I incorporated ExternalDNS into kubeCDN and configured my video test service to use ExternalDNS and set a DNS record when deployed. In order to achieve this, a monitoring solution would be needed to monitor a chosen metric. When this metric reaches a predefined threshold in a region, infrastructure can be dismantled.

Data Processing 106

Data Processing Cost-Benefit Optimization Metrics 106

Sisense

FEBRUARY 24, 2021

In fact, in a 2019 edition of Industrial Management & Data Systems, a research team led by Yu Nie noted that prior to the year 2000, there were only six chief data officers in the world. This could be because that department is testing out an idea or may just have a specific niche use case for its area.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

bridgei2i

SEPTEMBER 1, 2020

in March and April compared with 2019. BRIDGEi2i’S Watchtower leverages proprietary self-learning algorithms for mapping metrics relationships, correlation, and anomaly detection to deliver real-time actionable insights and proactive alerts on key business metrics. Purchases made on social media rose 84.7% These are: Watchtower.

Sales 52

Sales Metrics Optimization Enterprise 52

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

For example, consider the following simple example fitting a two-dimensional function to predict if someone will pass the bar exam based just on their GPA (grades) and LSAT (a standardized test) using the public dataset (Wightman, 1998). Curiosities and anomalies in your training and testing data become genuine and sustained loss patterns.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Ontotext

APRIL 4, 2019

On March 19, 2019, Economy.bg Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. They have different metrics for judging whether some content is interesting or not. This is one of the main diagnostic tests.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

Sisense

JULY 10, 2019

A couple of weeks ago, we officially launched the Cloud-Native Sisense on Linux deployment after a successful beta release cycle that kick-started in Spring 2019. In addition, we added Grafana and Prometheus, which provide counters of what’s going on in the system by providing a detailed view of system metrics. Learnings Along the Way.

IT 69

IT Testing Technology Sales 69

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Cost-Benefit 52

Domino Data Lab

MARCH 3, 2019

Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice (Feb 2019). What metrics are used to evaluate success? How companies are building sustainable AI and ML initiatives ”. Or something.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Alation

FEBRUARY 8, 2022

Zhamak Dehghani of Thoughtworks defined data mesh in 2019, tying it to domain-driven design and calling upon data users to “embrace the reality of ever present, ubiquitous and distributed nature of data.”. Alation surfaces domain related key data assets including terms, metrics, data products, and policies to ensure addressability.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Andrew White

JANUARY 11, 2021

Storytelling is a nice one to use early on to test the approach. As with offensive policies, too many firms mistake hygiene metrics such as the number of records cleaned up versus the impact on outcomes as the measure of success, with risk I would wary of the same mistake. Yes, and no. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

datapine

OCTOBER 21, 2020

Every patient has his own digital record which includes demographics, medical history, allergies, laboratory test results, etc. EHRs can also trigger warnings and reminders when a patient should get a new lab test or track prescriptions to see if a patient has been following doctors’ orders. 2) Electronic Health Records (EHRs).

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Domino Data Lab

MAY 8, 2019

If your “performance” metrics are focused on predictive power, then you’ll probably end up with more complex models, and consequently less interpretable ones. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Agile to the core.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105