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Data Science and Data Analytics Glossary

Data Prep and Analytics

Business Analytics

Business Analytics ist der Prozess der Datenanalyse mithilfe statistischer und quantitativer Methoden, um Entscheidungen zu treffen, die zu besseren Geschäftsergebnissen führen.

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Business Intelligence

Business Intelligence ist das Gesamtergebnis der Daten, Software, Infrastruktur, Geschäftsprozesse und menschlichen Intuition einer Organisation, das umsetzbare Erkenntnisse liefert.

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Data Analytics

Data Analytics bezeichnet den Prozess der Exploration, Transformation und Analyse von Daten, um aussagekräftige Erkenntnisse und Effizienzsteigerungen zu ermitteln und so die Entscheidungsfindung zu unterstützen.

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Data Blending

Bei der Datenzusammenführung werden Daten aus einer Vielzahl von Quellen in einem nützlichen Dataset zusammengebracht, um tiefergehende, komplexere Analysen durchzuführen.

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Data Catalog

How a Data Catalog Helps an Organization Make the Best Use of Data Assets

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Data Cleansing

Data cleansing, also known as data cleaning or scrubbing, identifies and fixes errors, duplicates, and irrelevant data from a raw dataset.

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Data Exploration

Data exploration is a way to get to know data before working with it. Through survey and investigation, large datasets are readied for deeper, more structured analysis.

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Data Lineage

Track where an organization’s data comes from, the journey it takes through the system, and keep business data compliant and accurate.

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Data Preparation

Bei der Datenvorbereitung werden Rohdaten bereinigt und konsolidiert, bevor sie für Geschäftsanalysen verwendet werden. Erfahren Sie, warum dies wichtig ist und wie es funktioniert.

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Data Profiling

Data profiling helps discover, understand, and organize data by identifying its characteristics and assessing its quality.

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Data Wrangling

Data wrangling is the act of transforming, cleansing, and enriching data to make it more applicable, consumable, and useful to make smarter business decisions.

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Descriptive Analytics

Descriptive analytics answers the question “What happened?” by drawing conclusions from large, raw datasets. The findings are then visualized into accessible line graphs, tables, pie and bar charts, and generated narratives.

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ETL

ETL is the process used to copy, combine, and convert data from different sources and formats and load it into a new destination such as a data warehouse or data lake.

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Spatial Analytics

Spatial analysis models problems geographically, allowing a company to analyze the locations, relationships, attributes, and proximities in geospatial data to answer questions and develop insights.

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Data Science and Machine Learning

Advanced Analytics

Advanced analytics uses sophisticated techniques to uncover insights, identify patterns, predict outcomes, and generate recommendations.

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AutoML

Automated machine learning, or AutoML, makes ML accessible to non-experts by enabling them to build, validate, iterate, and explore ML models through an automated experience.

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Data Science

Data Science ist eine Form angewandter Statistik, die Elemente der Informatik und Mathematik einbezieht, um Erkenntnisse sowohl aus quantitativen als auch qualitativen Daten zu gewinnen.

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Data Science vs Machine Learning

Data science and machine learning are buzzwords in the technology world. Both enhance AI operations across the business and industry spectrum. But which is best?

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Feature Engineering

With feature engineering, organizations can make sense of their data and turn it into something beneficial.

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Machine Learning

Machine Learning ist der iterative Prozess, der an einem Computer ausgeführt wird, um unter Berücksichtigung spezifischer Einschränkungen Muster in einem Dataset zu erkennen.

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Machine Learning Operations (MLOps)

MLOps ist ein funktionsübergreifender, kooperativer und iterativer Prozess, der Data Science operationalisiert, indem Machine Learning (ML) und andere Modelltypen wie wiederverwendbare Software-Artefakte verwendet werden, die mithilfe eines wiederholbaren Prozesses bereitgestellt und kontinuierlich überwacht werden können.

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Predictive Analytics

Predictive Analytics ist eine Art von Datenanalyse, die Machine Learning, statistische Algorithmen und andere Methoden verwendet, um zukünftige Ereignisse vorherzusagen.

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Prescriptive Analytics

Prescriptive analytics answers the question “What should/can be done?” by using machine learning, graph analysis, simulation, heuristics, and other methods.

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Supervised vs Unsupervised Learning

Supervised and unsupervised learning models work in unique ways to help businesses better engage with their consumers.

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Whatever your skillset, Alteryx brings simple and powerful analytics and data science to everyone and enables results beyond what was imagined.

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