datawarehouse
Definisjon
Et sentralisert lager som lagrer store mengder strukturert data fra flere kilder, designet for å støtte forretningsintelligensaktiviteter som rapportering, analyse og beslutningstaking.
Synonymer3
Antonymer2
Eksempler på bruk1
The company implemented a datawarehouse to consolidate sales and customer data; Analysts query the datawarehouse to generate monthly performance reports; Datawarehouses enable efficient historical data analysis for strategic planning.
Etymologi og opprinnelse
The term 'datawarehouse' is a compound of 'data', from Latin 'datum' meaning 'something given', and 'warehouse', from Old English 'warhūs', meaning a building for storing goods. It emerged in the 1980s to describe centralized storage systems for organizational data.
Relasjonsmatrise
Utforsk forbindelser og sammenhenger
a/b-test
is used for
"ABC-Analyse (Strategic Method of Inventory Management)"
is used for
Account based marketing (ABM)
Account Based Marketing (ABM) requires highly targeted, personalized campaigns directed at specific high-value accounts rather than broad audience segments. To effectively identify, segment, and engage these accounts, marketers need comprehensive, integrated data that combines firmographic, behavioral, transactional, and engagement information. A data warehouse serves as a centralized repository that consolidates data from multiple sources such as CRM systems, marketing automation platforms, sales data, and third-party intelligence. This consolidation enables ABM teams to build accurate, up-to-date account profiles and perform advanced analytics to identify key buying signals, prioritize accounts based on propensity to buy, and tailor messaging accordingly. Furthermore, the data warehouse supports ongoing measurement and attribution of ABM efforts by linking campaign interactions to sales outcomes across channels and time. Without such a unified data infrastructure, ABM programs risk operating on fragmented or outdated data, reducing targeting precision and ROI. Thus, the data warehouse is foundational for enabling the data-driven decision-making and orchestration that ABM demands.
Ad monitoring software
Ad monitoring software collects granular data on advertising performance across multiple channels, including impressions, clicks, conversions, and competitor ad activities. This data is often voluminous and heterogeneous, requiring systematic aggregation and normalization to enable comprehensive analysis. A data warehouse serves as the centralized repository where this ad monitoring data is integrated with other business data sources such as CRM, sales, and web analytics. By consolidating ad monitoring data into a data warehouse, marketing teams can perform advanced cross-channel attribution modeling, identify trends in ad effectiveness over time, and correlate ad spend with downstream business outcomes like revenue and customer lifetime value. This integration enables more accurate ROI measurement and strategic budget allocation by providing a unified, queryable environment for complex analytics and reporting. Without a data warehouse, ad monitoring data remains siloed and difficult to analyze in context, limiting its strategic value. Therefore, the data warehouse is essential for transforming raw ad monitoring outputs into actionable business insights that drive optimized digital marketing strategies.
Account executive
In marketing and business contexts, an Account Executive (AE) acts as the primary liaison between the company and its clients, responsible for managing relationships, understanding client needs, and driving sales or campaign success. A data warehouse consolidates vast amounts of structured and unstructured data from multiple sources, including CRM systems, marketing platforms, and sales records, into a centralized repository. The AE leverages insights derived from the data warehouse to tailor pitches, identify upsell or cross-sell opportunities, and provide data-backed recommendations to clients. For example, by accessing aggregated customer behavior, campaign performance metrics, and sales trends stored in the data warehouse, the AE can craft more personalized proposals and demonstrate ROI more convincingly. This integration enhances the AE's ability to make informed decisions, anticipate client needs, and align marketing and digital strategies with business objectives. Therefore, the data warehouse acts as a critical backbone that empowers the AE with actionable intelligence, enabling a more strategic and consultative approach to client management and campaign execution.
Ad creative testing
Ad creative testing generates large volumes of performance data across multiple variables such as creative elements, audience segments, channels, and timing. A data warehouse serves as a centralized, structured repository that consolidates this disparate data from various ad platforms and testing tools. By storing ad creative test results in a data warehouse, marketers can perform advanced analytics, cross-test comparisons, and trend analysis over time, enabling data-driven decisions on which creatives to scale or iterate. This integration allows for combining ad creative performance data with other business data (e.g., sales, customer behavior, CRM) to understand the broader impact of creative choices on business outcomes and optimize marketing spend. Without a data warehouse, ad creative testing data often remains siloed, limiting the ability to derive holistic insights and strategic optimization across campaigns and channels.
Relaterte ord1 ord
Relaterte artikler
Laster innhold...