DataRobot Blog

SEPTEMBER 1, 2022

But many of the things you need to measure for your business are hyperspecific for your unique problems and opportunities — specific business KPIs or data science secrets. New DataRobot Large Scale Monitoring allows you to access aggregated prediction statistics. It will let you independently control the scale.

Metrics 145

Metrics Statistics Modeling Data Science 145

IBM Big Data Hub

JANUARY 9, 2024

Increased variance: Variance measures consistency. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results. This may also entail working with new data through methods like web scraping or uploading.

Enterprise 73

Enterprise Data Integration Data Quality Contextual Data 73

Alation

JANUARY 25, 2022

A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.

Metadata 52

Metadata IT Metrics Data-driven 52

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

What’s the best way to organize data and ensure it is supported by business policies and well-defined, governed systems, data elements and performance measures? The company measure sales down to a zip-code territory level across product categories. 5 Advantages of Using a Data Catalog for Crisis Preparedness & Business Continuity.

Measurement 96

Measurement Sales Data Governance Metadata 96

Alation

OCTOBER 12, 2022

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Measures of central tendency. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. Percentages.

Statistics 52

Statistics Sales Testing Marketing 52

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes.

Data Quality 90

Data Quality Visualization Metadata Metrics 90

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might have millions of short videos , with user ratings and limited metadata about the creators or content. Machine learning adds uncertainty.

Management 327

Management Machine Learning Experimentation Metrics 327

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Any metric can and will be abused.

Marketing 361

Marketing Experimentation Metrics Testing 361

CIO Business Intelligence

MARCH 15, 2023

It’s important to understand that launching an offensive cybersecurity strategy does not mean abandoning traditional defensive measures such as deploying firewalls, intrusion detection systems (IDS), anti-malware software, patch management, security information and event management (SIEM), and other such tools.

Testing 72

Testing Strategy Metadata Statistics 72

DataKitchen

JUNE 24, 2021

Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It It takes them out of the craft world of people talking to people and praying, to one where there’s constant monitoring, constant measuring against baseline. [It Design for measurability. DataOps Maximizes Your ROI.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Ontotext

MAY 26, 2021

Originally, the Gold Standard was a monetary system that required countries to fix the value of their currencies to a certain amount of gold, aiming to replace the unreliable human control with a fixed measurement that could be used by everyone. Simply put, we need to be able to measure and evaluate our results against clearly set criteria.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Rita Sallam

APRIL 2, 2023

For the vendors that participate in the Bake-Off and Show Floor Showdowns, it is in equal measure fun and extremely stressful. Metadata management goes beyond technical metadata and even combining that with business metadata when it infers or anticipates new users of recently introduced data assets.

Optimization 52

Optimization Machine Learning Insurance Risk 52

CDW Research Hub

APRIL 17, 2019

Collect additional high-fidelity data sources, like endpoint activity and network metadata to drive advanced attack detection. Mature organizations are able to continuously monitor their environment for alerts and triage, as well as respond to threats in a consistent, repeatable and measurable way. Stage 3: Expansion.

Analytics 40

Analytics Data-driven Machine Learning Metadata 40

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

datapine

MAY 29, 2019

The point is to access, explore, and analyze measurable aspects of a business. Data cleansing, metadata management, data distribution, storage management, recovery, and backup planning are processes conducted in a data warehouse while BI makes use of tools that focus on statistics, visualization, and data mining.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

CIO Business Intelligence

APRIL 7, 2022

But the AI tool can help measure employee moods. By analyzing messaging metadata, “not the messages themselves,” he says, “we can now statistically prove that certain types of communication behavior directly correlate to business performance.”. Previously, Genpact used surveys, he says.

Consulting 134

Consulting Management Interactive Metadata 134

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. But remember to set achievable and measurable goals along the way. Aim high while creating and improving your plan.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Cloudera

MAY 18, 2021

CDP Public Cloud leverages the elastic nature of the cloud hosting model to align spend on Cloudera subscription (measured in Cloudera Consumption Units or CCUs) with actual usage of the platform. that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. .

Cost-Benefit 85

Cost-Benefit Data-driven Machine Learning Data Warehouse 85

DataKitchen

JANUARY 23, 2023

Data testing can be done through various methods, such as data profiling, Statistical Process Control, and quality checks. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time. They measure data sets at a point in time.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Alation

APRIL 25, 2023

Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly. But remember to set achievable and measurable goals along the way. Aim high while creating and improving your plan.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Domino Data Lab

AUGUST 8, 2019

Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. The gist is, leveraging metadata about research datasets, projects, publications, etc., Afterward, I headed quietly back to my laptop for some light coding to recover.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Sisense

SEPTEMBER 3, 2019

To check if the distribution method you’ve chosen is reasonably distributed across your nodes, you can query SVV_TABLE_INFO and measure the skew of your table. By using metadata about where the data is stored, it allows the query engine to skip over chunks of data that it knows are not within the bounds of your query’s parameters.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

O'Reilly on Data

MARCH 20, 2019

Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. This could include data poisoning, watermark attacks, or adversarial example attacks.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

O'Reilly on Data

MARCH 23, 2023

But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. And it can look up an author and make statistical observations about their interests. Tokens are significant parts of a word.

IT 258

IT Modeling Testing Risk 258

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. This was not statistic and we have not really explored this in any greater detail since. I suspect we should. There really is not one plan per se for everyone.

Analytics 64

Analytics Measurement Modeling Data-driven 64

The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

The scope of each record is determined by the source of the data; it might be a web page, metadata about an app, or logs from a web server. You declare one or more output tables in each program to accumulate statistics. For example, let’s say you want to measure the impact of two versions of a spam classifier on different websites.

Data Science 56

Data Science Statistics Testing Metadata 56

Edwin Chen

JANUARY 7, 2013

Behind the scenes: we run a Storm topology that tracks statistics on search queries. The Storm topology attaches a spout to this Kafka queue, and the spout emits a tuple containing the query and other metadata (e.g., Before we dive into the details, here’s an overview of how the system works. (1)

Statistics 73

Statistics Machine Learning Advertising Metadata 73

Andrew White

JANUARY 11, 2021

measuring value, prioritizing (where to start), and data literacy? 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. Great idea. I think some of our earlier webinars touch on these.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. How to measure the value. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52