Technology Vocabulary

#281

Data pipeline

Example sentences

1. The data pipeline carries information through several processing steps.
2. A broken data pipeline delayed the morning report.
3. The team monitors the data pipeline for errors.

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#282

Data integration

Example sentences

1. Data integration combines information from different systems.
2. The project improved data integration between sales and finance.
3. Good data integration reduces repeated manual work.

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#283

Data migration

Example sentences

1. Data migration moves information from one system to another.
2. We tested the data migration before closing the old system.
3. The data migration included customer records and documents.

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#284

Data cleaning

Example sentences

1. Data cleaning removes errors and improves consistency.
2. The analyst used data cleaning to fix missing dates.
3. Data cleaning is necessary before many forms of analysis.

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#285

Data quality

Example sentences

1. High data quality means information is accurate and complete.
2. The team checks data quality every week.
3. Poor data quality can lead to wrong decisions.

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#286

Data governance

Example sentences

1. Data governance sets rules for managing and protecting information.
2. The company created a data governance committee.
3. Good data governance explains who can use each type of data.

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#287

Master data

Example sentences

1. Master data includes important shared information such as customer and product names.
2. The company corrected its master data before the system change.
3. All departments should use the same master data.

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#288

Metadata repository

Example sentences

1. The metadata repository stores descriptions of data and systems.
2. Analysts searched the metadata repository for the meaning of a field.
3. A metadata repository helps teams find and understand information.

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#289

Business intelligence

Example sentences

1. Business intelligence turns business data into useful reports and insights.
2. Managers use business intelligence to follow sales performance.
3. The new business intelligence system includes interactive charts.

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#290

Dashboard

Example sentences

1. The dashboard shows the most important results on one screen.
2. The manager checks the dashboard every morning.
3. A red warning appeared on the system dashboard.

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#291

Data visualization

Example sentences

1. Data visualization uses charts and images to explain information.
2. The report uses data visualization to show monthly changes.
3. Clear data visualization helps people understand complex results.

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#292

Analytics

Example sentences

1. Analytics helps organizations understand data and make decisions.
2. The website uses analytics to measure visitor behavior.
3. Sales analytics showed which product was most popular.

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#293

Descriptive analytics

Example sentences

1. Descriptive analytics explains what happened in the past.
2. The monthly report uses descriptive analytics to summarize sales.
3. Descriptive analytics showed that website visits increased.

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#294

Diagnostic analytics

Example sentences

1. Diagnostic analytics looks for reasons behind an event.
2. The team used diagnostic analytics to understand the sales decline.
3. Diagnostic analytics connected the problem to a delayed delivery.

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#295

Predictive analytics

Example sentences

1. Predictive analytics estimates what may happen in the future.
2. The store uses predictive analytics to plan product demand.
3. Predictive analytics cannot guarantee a future result.

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#296

Prescriptive analytics

Example sentences

1. Prescriptive analytics suggests actions based on data.
2. The system uses prescriptive analytics to recommend delivery routes.
3. Prescriptive analytics helped managers choose the best option.

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#297

Data mining

Example sentences

1. Data mining searches large datasets for useful patterns.
2. The bank uses data mining to identify unusual activity.
3. Data mining found a connection between two customer behaviors.

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#298

Big data

Example sentences

1. Big data describes information that is very large or complex.
2. The company uses special tools to process big data.
3. Big data can come from phones, sensors, and websites.

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#299

Real-time data

Example sentences

1. The traffic system uses real-time data from road sensors.
2. Real-time data appears on the dashboard immediately.
3. Doctors need real-time data when monitoring some patients.

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#300

Data retention

Example sentences

1. Data retention rules explain how long information should be kept.
2. The company reviewed its data retention policy.
3. Long data retention may increase storage and privacy risks.

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