datautvinning
Definisjon
Prosessen med å hente ut nyttig informasjon fra store mengder data.
Synonymer3
Antonymer2
Eksempler på bruk1
Datautvinning används för att identifiera mönster i stora datamängder; företag använder datautvinning för att förbättra sina affärsstrategier.
Etymologi og opprinnelse
The term is a compound of 'data' (from Latin 'datum') and 'utvinning,' meaning extraction or mining.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
ad exchange
Datautvinning (data mining) plays a critical role in optimizing ad exchanges by extracting actionable insights from large volumes of user and transaction data generated within these platforms. Specifically, datautvinning techniques analyze patterns in user behavior, bidding strategies, and ad performance metrics to enhance targeting precision and pricing algorithms in real-time bidding environments. This enables ad exchanges to dynamically match advertisers with the most relevant audiences, improving campaign efficiency and yield for publishers. Furthermore, datautvinning supports fraud detection and quality control within ad exchanges by identifying anomalous patterns indicative of invalid traffic or bot activity. In digital strategy, leveraging datautvinning within ad exchanges allows marketers to refine audience segmentation, personalize ad delivery, and optimize budget allocation based on predictive analytics derived from mined data. Thus, datautvinning transforms raw data from ad exchanges into strategic intelligence that drives smarter buying and selling decisions in programmatic advertising ecosystems.
e-post
The connection between 'e-post' (email) and 'datautvinning' (data mining) lies in the way emails can serve as a rich source of unstructured data, which can be analyzed and extracted for valuable insights through data mining techniques
a/b-testing
Datautvinning (data mining) involves extracting actionable insights from large datasets by identifying patterns, trends, and customer behaviors. In marketing, business, and digital strategy, these insights inform hypotheses about what changes might improve performance. A/B testing then operationalizes these hypotheses by experimentally comparing variations (e.g., different marketing messages, website layouts, or pricing strategies) to validate which approach yields better outcomes. Specifically, datautvinning can reveal segments of customers who respond differently to offers or identify behavioral triggers that suggest which elements to test. Conversely, results from A/B tests generate new data that feed back into datautvinning processes, refining models and uncovering deeper insights. This cyclical relationship ensures that data-driven hypotheses are continuously tested and optimized, making marketing and digital strategies more precise and effective over time.
annonsering
The connection between 'annonsering' (advertising) and 'datautvinning' (data mining) lies in their synergy, as effective advertising strategies increasingly rely on data mining techniques to analyze consumer behavior and tailor targeted campaigns.
Account based marketing (ABM)
Account Based Marketing (ABM) targets high-value accounts with personalized marketing efforts, requiring precise insights into each account's characteristics, behaviors, and needs. Datautvinning (data mining) enables marketers to extract actionable patterns and detailed profiles from large datasets, such as CRM records, website interactions, and third-party data sources. By applying datautvinning techniques, marketers can identify key decision-makers, understand account-specific pain points, and predict buying signals within target accounts. This granular intelligence allows ABM campaigns to tailor messaging, prioritize accounts with the highest conversion potential, and optimize resource allocation. In practice, datautvinning uncovers hidden correlations and trends that inform segmentation, content personalization, and timing strategies critical to ABM success. Without datautvinning, ABM efforts risk being generic and less effective due to insufficient account-level insights.
"ABC-Analyse (Strategic Method of Inventory Management)"
is a tool used for
Brand messaging
Brand messaging and datautvinning (data mining) intersect in crafting personalized marketing strategies by extracting insights from consumer data to effectively communicate values and engage audiences.
Marketing mix strategy
The marketing mix strategy relies on datautvinning (data mining) to analyze consumer behavior and optimize product offerings, ensuring targeted and effective marketing campaigns.
metabeskrivelse
The connection between 'metabeskrivelse' (meta-description) and 'datautvinning' (data mining) lies in their roles in enhancing the organization and retrieval of information, with meta-descriptions providing context for data while data mining extracts valuable insights
alt-tekst
The connection between 'alt-tekst' (alternative text) and 'datautvinning' (data mining) lies in the idea that just as alt-tekst provides meaningful descriptions for images to improve accessibility and understanding, datautvinning extracts valuable
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