DataKitchen

JANUARY 23, 2023

It is important to have additional tools and processes in place to understand the impact of data errors and to minimize their effect on the data pipeline and downstream systems. These operations can include data movement, validation, cleaning, transformation, aggregation, analysis, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130

DataRobot Blog

APRIL 4, 2022

MMM stands for Marketing Mix Model and it is one of the oldest and most well-established techniques to measure the sales impact of marketing activity statistically. Data Requirements. As with any type of statistical model, data is key and GIGO (“Garbage In, Garbage Out”) principle definitely applies. What cannot be measured?

Machine Learning 52

Machine Learning Sales Measurement ROI 52

CIO Business Intelligence

JANUARY 24, 2024

Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency. IoT, Web Scraping, API, IDP, RPA Data Processing Data Pipelines and Analysis Layer Employ data pipelines with algorithms to filter, sort, and interpret data, transforming raw information into actionable insights.

IoT 92

IoT Machine Learning Optimization Internet of Things 92

erwin

APRIL 16, 2024

Gathering this data isn’t possible without automation. erwin Data Intelligence has the functionality to scan the organization’s data estate and capture metadata about all data held in databases.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

AWS Big Data

MAY 3, 2023

As companies continue to expand their digital footprint, the importance of real-time data processing and analysis cannot be overstated. The ability to quickly measure and draw insights from data is critical in today’s business landscape, where rapid decision-making is key. Loader – This is where users specify a target database.

IoT 104

IoT Internet of Things Data Transformation Management 104

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

ROI 52

ROI Measurement Data-driven Data Transformation 52

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 72

Reporting Metrics Optimization Data Lake 72

IBM Big Data Hub

OCTOBER 16, 2023

AI governance refers to the practice of directing, managing and monitoring an organization’s AI activities. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 72

Risk Modeling Management Metadata 72

AWS Big Data

FEBRUARY 8, 2023

Commonly (and in this solution), the Levenshtein distance is used to measure the distance between two strings, and therefore their similarity. Create a table for weight information This reference table holds two columns; the table name and the column mapping with weights.

Data Quality 79

Data Quality Testing Data Warehouse Unstructured Data 79

O'Reilly on Data

OCTOBER 19, 2021

but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Adapted from the book Effective Data Science Infrastructure. The iteration cycles should be measured in hours or days, not in months. Let’s now take a tour of the various layers, to begin to map the territory.

IT 342

IT Testing Experimentation Software 342

Alation

NOVEMBER 22, 2022

Data governance is the foundation for these strategies. To unlock your data’s value, you need a data governance program that addresses: Data ownership. Data breach mitigation measures. Transparency over data usage. You follow the data. Efficient Access To Data. Data usage.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

OCTOBER 28, 2021

Protect data at the source. Put data into action to optimize the patient experience and adapt to changing business models. What is Data Governance in Healthcare? Data governance in healthcare refers to how data is collected and used by hospitals, pharmaceutical companies, and other healthcare organizations and service providers.

Data Governance 52

Data Governance Measurement Metrics Modeling 52

AWS Big Data

NOVEMBER 13, 2023

In pursuit of this principle, strategic measures were undertaken to ensure a smooth migration process towards enabling data sharing, which included the following steps: Planning: Replicating users and groups to the consumer, to mitigate potential access complications for analytics, data science, and BI teams.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

Alation

JANUARY 17, 2023

A modern data stack relies on cloud computing, whereas a legacy data stack stores data on servers instead of in the cloud. Modern data stacks provide access for more data professionals than a legacy data stack. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Jet Global

MAY 28, 2019

A data warehouse is typically used by companies with a high level of data diversity or analytical requirements. When you want to get answers from your data, your request goes directly to the appropriate cube. When organizations start to collect data in multiple databases, the size of the data sets grow exponentially.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

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. The standard deviation tells us about the spread of our data.

Testing 68

Testing Modeling Interactive Measurement 68

Occam's Razor

OCTOBER 19, 2010

so you have some reference as to where each item fits (and this will also make it easier for you to pick tools for the priority order referenced in Context #3 above). You'll measure Task Completion Rate in 4Q (below). You'll measure Share of Search using Insights for Search (below). The Best Web Analytics 2.0

Analytics 135

Analytics Testing Measurement Optimization 135

Jet Global

MAY 1, 2023

that gathers data from many sources. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Strategic Objective Create a complete, user-friendly view of the data by preparing it for analysis. Data Transformation and Enrichment Data can be enriched for analysis.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52