dataplattform
Definisjon
En dataplattform er et integrert sett med teknologier og verktøy designet for å samle inn, lagre, administrere og analysere store mengder data, slik at organisasjoner kan hente innsikt og støtte beslutningsprosesser.
Synonymer3
Antonymer2
Eksempler på bruk1
The company invested in a new dataplattform to improve data accessibility; Our dataplattform integrates various data sources for comprehensive analytics; Effective decision-making relies on a robust dataplattform.
Etymologi og opprinnelse
The term 'dataplattform' is a compound of 'data,' derived from the Latin 'datum' meaning 'something given,' and 'platform,' from Old French 'plate-forme,' meaning a flat surface or base. The compound reflects a foundational system for managing data.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
Account based marketing (ABM)
Account Based Marketing (ABM) requires highly targeted, personalized marketing efforts focused on specific high-value accounts. To execute ABM effectively, marketers need a unified, comprehensive view of account data—including firmographics, engagement history, intent signals, and buying stage information. A dataplattform (data platform) serves as the centralized infrastructure that aggregates, cleanses, and integrates data from multiple sources such as CRM, marketing automation, web analytics, and third-party intent data providers. This consolidated data enables precise account identification, segmentation, and real-time insights critical for tailoring content, timing, and channel strategies in ABM campaigns. Furthermore, the dataplattform supports advanced analytics and machine learning models that predict account propensity to buy or identify cross-sell opportunities, thereby optimizing resource allocation and campaign effectiveness. Without a robust dataplattform, ABM efforts risk being fragmented, less personalized, and inefficient due to siloed or outdated data. Thus, the dataplattform operationalizes ABM by providing the actionable, high-quality data foundation necessary for strategic targeting, measurement, and continuous optimization of account-centric marketing initiatives.
Ad monitoring software
Ad monitoring software systematically collects and analyzes data on advertising performance across various channels, such as impressions, clicks, spend, and competitor activity. A dataplattform acts as a centralized repository and processing engine that ingests this raw data from ad monitoring tools alongside other business data sources (e.g., CRM, sales, web analytics). By integrating ad monitoring data into a dataplattform, marketing teams can perform advanced cross-channel attribution, identify trends, and generate unified dashboards that correlate ad spend with business outcomes. This integration enables more precise budget allocation, real-time optimization of campaigns, and strategic decision-making grounded in comprehensive, harmonized data rather than siloed ad metrics. Without a dataplattform, the insights from ad monitoring software remain fragmented and less actionable at scale. Conversely, the dataplattform depends on high-quality, granular ad monitoring data to enrich its analytics and predictive modeling capabilities related to marketing performance and ROI forecasting.
Account executive
An Account Executive (AE) in marketing and business acts as the primary liaison between clients and the company, responsible for managing client relationships, understanding client needs, and driving revenue through tailored solutions. A dataplattform (data platform) consolidates, organizes, and provides access to vast amounts of customer and market data, enabling data-driven decision-making. The AE leverages insights derived from the dataplattform to craft personalized pitches, identify upsell or cross-sell opportunities, and demonstrate ROI to clients with concrete data. For example, by accessing real-time campaign performance metrics or customer behavior analytics from the dataplattform, the AE can proactively adjust strategies, anticipate client needs, and build stronger, evidence-based business cases. This integration enhances the AE's ability to align client goals with digital marketing strategies, making their interactions more consultative and impactful. Thus, the dataplattform empowers the AE to move beyond intuition-based selling to data-informed client engagement, directly influencing sales effectiveness and client satisfaction.
Ad copy
Ad copy effectiveness depends heavily on insights derived from a dataplattform that consolidates and analyzes customer data, campaign performance, and behavioral metrics. By leveraging a dataplattform, marketers can identify which messaging resonates with specific audience segments, optimize ad copy variations in real-time, and tailor content based on data-driven customer personas. This integration enables iterative refinement of ad copy through performance feedback loops, such as click-through rates, conversion data, and engagement metrics stored and processed within the dataplattform. Consequently, the dataplattform acts as the analytical backbone that informs strategic decisions about tone, value propositions, and calls-to-action in ad copy, ensuring that messaging aligns precisely with audience preferences and maximizes ROI.
a/b-testing
A dataplattform in marketing and digital strategy serves as the centralized infrastructure that collects, integrates, and organizes vast amounts of customer and campaign data from multiple sources (e.g., CRM, web analytics, ad platforms). This unified data environment enables precise segmentation, real-time insights, and historical trend analysis. A/B testing depends heavily on this reliable, well-structured data foundation to design experiments, define target audiences, and accurately measure the impact of different variants on key performance indicators (KPIs). Specifically, the dataplattform provides the clean, consistent datasets and attribution models necessary to track user behavior before, during, and after exposure to test variants, ensuring that A/B test results are statistically valid and actionable. Without a robust dataplattform, marketers risk basing A/B testing decisions on incomplete or inconsistent data, leading to flawed conclusions and suboptimal strategy adjustments. Conversely, insights from A/B testing feed back into the dataplattform to refine data models and improve future targeting and personalization efforts. Thus, the dataplattform and A/B testing form a feedback loop where the platform enables rigorous experimentation, and experimentation outcomes enhance data quality and strategic decision-making.
Ad creative
Ad creative and dataplattform are tightly linked through the process of data-driven advertising optimization. A dataplattform aggregates, organizes, and analyzes vast amounts of customer and campaign data, enabling marketers to extract actionable insights about audience behavior, preferences, and engagement patterns. These insights directly inform the development and refinement of ad creatives by identifying which messaging, visuals, formats, and channels resonate best with specific audience segments. For example, performance data collected and processed in the dataplattform can reveal that a certain creative variant drives higher conversions among a demographic, prompting marketers to iterate and tailor ad creatives accordingly. Additionally, dataplattform capabilities like real-time data integration and attribution modeling allow dynamic creative optimization, where ad creatives are personalized or adjusted on the fly based on current user data and context. This synergy ensures that ad creatives are not designed in isolation but are continuously optimized using empirical evidence, maximizing campaign effectiveness and ROI. In summary, the dataplattform serves as the intelligence backbone that guides the strategic and tactical decisions behind ad creative development and deployment, making their relationship essential for modern, data-driven marketing strategies.
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