Smart Data Collective

FEBRUARY 1, 2023

You can’t even sleep uninterrupted without getting woken up every few hours for a test or a check-in. Referred to as the Internet of Things (IoT) these devices communicate directly with doctors or the patient themselves to provide up-to-the-minute health updates that can be lifesaving. You can’t eat without them bringing you food.

Data Analytics 118

Data Analytics Analytics Big Data Internet of Things 118

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Data Science 101

JANUARY 15, 2020

Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product. Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. REFERENCES. We randomly recruit subjects for that.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

FEBRUARY 13, 2023

The name references the Greek letter sigma, which is a statistical symbol that represents a standard deviation. Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. During the improve phase, the focus is on testing the best potential solutions identified in the earlier phases.

Management 89

Management Statistics Manufacturing Measurement 89

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

OCTOBER 16, 2023

By looking critically at these examples, and at successes in overcoming bias, data scientists can begin to build a roadmap for identifying and preventing bias in their machine learning models. Enable secure access to users, models and data. Safeguard AI models, data and infrastructure from adversarial attacks.

Advertising 72

Advertising Machine Learning Data Architecture Cost-Benefit 72

IBM Big Data Hub

MAY 28, 2024

It oversees all tasks related to securely transferring production data to data stores, whether on-premises or in external cloud environments. Incident response Incident response (IR) refers to an organization’s processes and technologies for detecting and responding to cyber threats, security breaches and cyberattacks.

Strategy 45

Strategy Measurement Risk Cost-Benefit 45

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. You can test this solution yourself using the AWS Samples GitHub repository. The Lambda function is triggered at regular intervals using a scheduled EventBridge rule.

Analytics 99

Analytics IoT Metadata Internet of Things 99

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. Perhaps I can refer them to someone else in that case.).

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Jet Global

SEPTEMBER 18, 2020

In a world built on complex and globalized supply chains, COVID-19 tested that internal agility, sometimes to breaking point. Data collected and stored in this format are difficult to share and update centrally, especially when teams are working remotely.

Finance 98

Finance Risk Reporting Technology 98

O'Reilly on Data

MARCH 31, 2020

The model outputs produced by the same code will vary with changes to things like the size of the training data (number of labeled examples), network training parameters, and training run time. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Text synopses are ‘tokenized’ with the aid of a reference library.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

FineReport

JUNE 7, 2023

It serves as a quick reference point for understanding the project’s overall status and progress. Quality Assessment : Any quality testing conducted during the project should be reported, along with any identified issues. These pieces of information provide a foundation for the report.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

AWS Big Data

JULY 3, 2023

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ). Load the dataset into Amazon S3.

Snapshot 87

Snapshot Data Lake Testing Strategy 87

datapine

FEBRUARY 9, 2024

The fundamentals of measuring performance indicators are not all that different from well-established scientific evaluation methods: ask a question, set a goal, find a quantifiable means of achieving that goal, test these means, and then retest for consistency. Your Chance: Want to test a KPI management software for free?

KPI 221

KPI Management Key Performance Indicator Measurement 221

AWS Big Data

FEBRUARY 1, 2024

For instructions, refer to Create your first S3 bucket. For instructions, refer to Get started. Common Crawl data The Common Crawl raw dataset includes three types of data files: raw webpage data (WARC), metadata (WAT), and text extraction (WET). For explanations of each field, refer to Common Crawl Index Athena.

Metadata 101

Metadata Modeling Data Processing Unstructured Data 101

datapine

JULY 6, 2022

Your Chance: Want to test a professional KPI tracking software? Sales goals and profit margins are all performance metrics examples that businesses reference, but it goes much deeper than that. In order to set a point of reference for your human resources professionals, the average time to fill is a helpful productivity metric.

Measurement 243

Measurement Metrics KPI Sales 243

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. Choosing your evaluation metric Lastly, metrics just refers to your choice of evaluation metric. In the next section, we’ll find out!

Metrics 58

Metrics Optimization Modeling Testing 58

CIO Business Intelligence

APRIL 28, 2024

Huawei’s outlook on power scenarios may not be from an insider’s point of view, but our fresh perspective can still provide valuable reference and input for power companies. Grid-based sources, like weather forecasts, can provide accurate weather data to enhance the prediction accuracy of wind, solar, and hydro power generation.

Interactive 85

Interactive Uncertainty Data Collection IoT 85

Cloudera

AUGUST 17, 2020

Next, Hue is used to extract all support cases from Impala where there is a reference to a Knowledge Article in the CDM fields and store it into Parquet files. This is done for easy transport and reference from Spark. Data Collection Request – A sentence requesting data from the customer. Testing the Results.

Testing 82

Testing Machine Learning Interactive Metrics 82

AWS Big Data

JULY 13, 2023

Enable QuickSight in your data collection account. For instructions, refer to Setting up for Amazon QuickSight. Follow the steps in Centralized view of support cases opened from multiple AWS accounts using AWS Systems Manager to establish Systems Manager Explorer and create a resource data sync for data aggregation.

Dashboards 72

Dashboards Visualization Interactive Management 72

AWS Big Data

NOVEMBER 15, 2023

For more information on this foundation, refer to A Detailed Overview of the Cost Intelligence Dashboard. Additionally, it manages table definitions in the AWS Glue Data Catalog , containing references to data sources and targets of extract, transform, and load (ETL) jobs in AWS Glue.

Dashboards 98

Dashboards Analytics Metadata Data Warehouse 98

Depict Data Studio

MAY 12, 2020

Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices. COVID-19 Data Quality Issues. Amanda said, “Consider the fact that even though the dataset are very accessible right now, does not mean it is high quality data.”.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

datapine

OCTOBER 14, 2020

Your Chance: Want to test interactive dashboard software for free? An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Rocket-Powered Data Science

SEPTEMBER 18, 2018

For the modern digital organization, the proof of any inference (that drives decisions) should be in the data! Rich and diverse data collections enable more accurate and trustworthy conclusions. lack of appetite; or other pains) and may order other medical tests (blood pressure checks, or other lab results).

Big Data 103

Big Data Data Science Measurement Data Collection 103

Occam's Razor

JULY 12, 2010

High Scores in personable use positive emotion words, ask questions, express their own ambivalence and reference others frequently. There are many methods of collecting data depending on the platform you are on, and if Steve Jobs gets upset he can totally shut you down with a mere update of his TOS! :).

Analytics 96

Analytics Measurement Metrics KPI 96

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In our case, every table, every slide that comes from a piece of data, has to pass the so what test. simplification and 2.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Cloudera

JANUARY 19, 2021

Developers drag and drop processors to design and test a flow. . This aims to avoid business impacts and to avoid any data loss during the change. In terms of Cloudera Flow Management, the ‘data collecting mode’ of a flow will impact the data resilience in different manners. DataFlow Process Group. Flow Template.

Management 64

Management Big Data Enterprise Dashboards 64

Cloudera

JUNE 6, 2019

We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business. A third strategy splits clusters based on the overall priority of the workloads running on those clusters.

Metadata 85

Metadata Data Lake Optimization Strategy 85

The Unofficial Google Data Science Blog

JULY 18, 2023

While we can count the number of rods that measure a particular length, we struggle to provide a concrete reference value for something like the liberalness of a particular government. Measurement challenges Assessing reliability is essentially a process of data collection and analysis. We highly recommend you read that as well.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Their tests are performed using C4.5-generated 1988), E-state data (Hall et al., References. Chawla et al., 1998) and others).

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. An example of a data science tool is Dataiku.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Occam's Razor

APRIL 19, 2010

Point of confusion: People, like me, often also use the term Desirable Outcomes to refer to business objectives. Full disclosure: Depending on the specificity of your business objectives my asking you for your "desirable outcomes" could refer to "what are your goals". They are one and the same thing. See below.]. Truly heart warming.

Metrics 138

Metrics Key Performance Indicator KPI Business Objectives 138

Domino Data Lab

AUGUST 20, 2019

We are going to turn our attention away from expanding our catalog of models [as mentioned previously in the book ] and instead take a closer look at the data. Feature engineering refers to manipulation—addition, deletion, combination, mutation—of the features. Filling missing values.

Testing 68

Testing Modeling Interactive Measurement 68

datapine

JUNE 13, 2019

So they taste test frequently throughout the whole process. The optimal response time should be determined after different strategies are tested. Graphs and charts to visualize all the data collected. To use another example, one secret that good cooks use is to taste their food constantly as they are preparing it.

Sales 264

Sales Reporting KPI B2B 264

Domino Data Lab

OCTOBER 23, 2019

Instead of starting with a thorny data source such as the official NBA web site, which actively prevents you from downloading its data, we are going to start with something relatively easy. You can add a Makefile command test that will run all of your notebooks by issuing. test: py.test --nbval notebooks/*.ipynb.

Statistics 59

Statistics Machine Learning Testing Modeling 59