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Shifting KPIs With Real-Time Intelligence

Shifting KPIs With Real-Time Intelligence

Marketing without metrics is akin to driving blindfolded. To gauge the effectiveness of their efforts, marketers are investing in analytics capabilities to gain a precise understanding of how their messages, campaigns, and marketing expenditures impact their objectives. The ability to swiftly unlock these insights empowers marketers to promptly address customer needs and make well-informed decisions to propel business growth. This is bringing about Shifting KPIs With Real-Time Intelligence In contrast to 61% of underperforming marketers, a significant 72% of high-performing marketers can analyze marketing performance in real time. This real-time analysis provides them with a distinct advantage in responding to and optimizing campaign performance. However, a notable 33% of marketers still rely on manual processes for marketing attribution, a figure that has seen marginal improvement from 34% in 2020. In 2022, 68% of marketers claim they can analyze marketing performance in real time. For organizations aiming to enhance efficiency and maximize value, identifying the right metrics to track is imperative. As marketing budgets face rigorous scrutiny, analytics offer leaders the insights needed to optimize spending and reduce acquisition costs, reinforcing the value of marketing efforts. Shifting KPIs With Real-Time Intelligence The landscape of analytics has expanded, with marketers now monitoring a comprehensive set of metrics, including year-over-year revenue and customer satisfaction. Personalization and customer touchpoints have gained prominence, leading to increased tracking of web/mobile analytics, content engagement, and customer lifetime value. Marketers are now monitoring an extensive array of key performance indicators (KPIs), encompassing revenue, customer satisfaction metrics (CSAT), web and mobile analytics, customer acquisition costs, B2B sales funnel statistics, content engagement, customer retention rates, customer referral rates, and customer lifetime value. Despite the growing sophistication in tracking various metrics, marketers highlight measuring marketing ROI/attribution as their second most significant challenge. This indicates a continued need for streamlining the reporting process to enhance efficiency and effectiveness. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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Marketing Cloud Intelligence For Data Integration

Marketing Cloud Intelligence For Data Integration

What exactly is Salesforce Datorama, now referred to as Marketing Cloud Intelligence? It is a versatile, cloud-based marketing data platform offering a suite of solutions aimed at enhancing data integration, reporting, analysis, and optimization. Marketing Cloud Intelligence For Data Integration. However, the question arises: Does Marketing Cloud Intelligence truly deliver the cloud-based Marketing Intelligence as Salesforce touts? Let’s dive into what this platform offers and dissect its capabilities without the fluff. Understanding the Platform: Salesforce’s Marketing Cloud Intelligence, formerly known as Datorama, serves as an analytics tool meticulously designed to integrate and visualize various forms of marketing performance data. It strikes a balance, catering to both analytically inclined marketers and seasoned analysts seeking to bridge data with conventional BI tools like Tableau. Flexible SaaS with Tailored Customization: Despite its Software-as-a-Service (SaaS) nature, Datorama surprises with its flexibility. It can function autonomously, handling data storage, modeling, ETL, and visualization, or seamlessly integrate with other platforms like Azure Databricks or Looker. While it accommodates numerous data use cases, its primary focus remains on Performance Marketing. Marketing Cloud Intelligence often gets misclassified as a traditional Business Intelligence or Analytics platform, but it truly excels in data management. For those contemplating its adoption, familiarity with its functionalities through resources like “Getting to Know Marketing Cloud Intelligence” or video walkthroughs is encouraged. Transition to Marketing Cloud Intelligence: The rebranding from Datorama to Marketing Cloud Intelligence was proposed in early 2022, gaining momentum recently. Despite the name change, the platform’s features and capabilities remain intact. Origins and Evolution: Originating from an Israeli-based technology firm in 2012, Datorama swiftly gained traction under the stewardship of its founders Ran Sarig, Efi Cohen, and Katrin Ribant. In 2018, Salesforce acquired Datorama, integrating it into the Marketing Cloud suite alongside Account, Engagement, Personalization, and Data Cloud platforms. However, as of February 2, 2023, the original founders and core engineering teams have moved on, possibly signaling a shift in the platform’s trajectory. Functionalities and Capabilities: Marketing Cloud Intelligence boasts robust data onboarding and connectivity features, with a rich assortment of connectors and retrieval mechanisms supporting popular data management platforms like SAP Hana, AWS, Oracle, Vertica, and SQL Server. It excels in ingesting and managing aggregated marketing performance data, with the capacity to handle event-level data as well. Pricing and Competitors: While its pricing model revolves around data row consumption and user seats, the platform may become cost-prohibitive at higher volumes. However, recent enhancements like Data Lake offer expanded row count flexibility without escalating costs. Its primary competitors include Domo, Adverity, NinjaCat, Improvado, Looker, PowerBI, and Google Data Studio. Use Cases and Industries: Marketing Cloud Intelligence serves marketers and advertisers across various industries, including communications, media, technology, healthcare, finance, manufacturing, automotive, retail, and publishing. Its versatility lies in supporting six specific marketing data use cases, ranging from building a single source of data to producing informative dashboards. Continuous Evolution: With frequent product releases, Marketing Cloud Intelligence remains dynamic, adapting to evolving market needs and technological advancements. Its commitment to enhancing analytics, visualization, connectivity, and marketplace apps ensures its relevance in the ever-changing landscape of marketing data management. Future Outlook: As Salesforce navigates the competitive analytics space, the future of Marketing Cloud Intelligence remains intriguing. While challenges like pricing pressures persist, the platform’s integration within the Marketing Cloud ecosystem and ongoing enhancements hint at a promising trajectory. Whether it evolves into a fully integrated analytics solution or retains its standalone utility, only time will tell. But one thing is certain: Salesforce’s promotion of Marketing Cloud Intelligence will continue to shape its evolution and market positioning moving forward. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more

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Salesforce Success Story

Case Study: Salesforce Innovation for Hospitality

Major hospitality management firm, moves to the cloud and adopts Google Cloud and Salesforce to improve operational insights and decision-making. Tectonic assisted them to move to the cloud and obtatin quicker, actionable insights with business intelligence. Salesforce Innovation for Hospitality.

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Marketing Cloud Intelligence

Salesforce Marketing Cloud Intelligence Explained

What is Marketing Cloud Intelligence? Salesforce’s Marketing Cloud Intelligence, formerly known as Datorama, is an analytics tool designed to integrate and visualize marketing performance data across various platforms. It caters to analytically driven marketers and seasoned analysts, providing an easy-to-use interface while offering connections to traditional BI tools like Tableau. Marketing efforts generate extensive data across multiple platforms, and Marketing Cloud Intelligence consolidates all these marketing tools into a centralized source. It serves as a comprehensive solution for reporting, measurement, and optimization. Market intelligence involves gathering real-time data from the market to understand customers, trends, behaviors, and more, enabling a company to stay competitive and meet market demands. By leveraging out-of-the-box connections, Marketing Cloud Intelligence seamlessly links platforms like Google, YouTube, Instagram, and others without the need for complex coding. The tool, now known as Marketing Cloud Intelligence, reveals trends, tracks progress against goals, and quantifies the ROI of marketing initiatives once connected. The system features a connected library of over 170 connectors for acquiring data from major advertising, commerce, CRM, and database vendors. The unique universal connector, powered by AI, allows effortless connection of any data stream within minutes, even from sources lacking an API connection. Marketing Cloud Intelligence addresses the challenge of data consistency by providing an out-of-the-box marketing data model. It helps organize data into a clear and consistent taxonomy, enriching it with naming conventions, data classification, and automated maintenance alerts for trustworthy decision-making. Beyond reporting and dashboards, Marketing Cloud Intelligence, with the assistance of Einstein, provides actionable insights. Marketers can select a KPI to improve and create a perpetual pipeline of AI insights, addressing overarching questions or specific areas like reducing spend or analyzing creative impacts. What can marketers do with Marketing Cloud Intelligence? Marketers can efficiently compile multiple sources of data in Marketing Cloud using various KPIs, creating at-a-glance and visually appealing dashboards and reports. Marketing Cloud Intelligence, powered by Datorama, facilitates the organization and analysis of diverse data within Marketing Cloud. What does Marketing Cloud Intelligence do? Marketing Cloud Intelligence integrates data from marketing and advertising platforms, web analytics, CRM, e-commerce, and more. It offers a unified view for optimizing campaign performance and real-time insights. The tool optimizes marketing spend and customer engagement with unified performance data, automated reporting, and AI-driven insights. Why is marketing intelligence important in Salesforce? Marketing intelligence tools help businesses gather and analyze market data. CRM and CDP tools, such as Salesforce Marketing Cloud Intelligence, unite data from disparate sources to provide a fuller picture of their customers and the marketplace. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce CRM for AI driven transformation

Salesforce Artificial Intelligence

Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust AI technologies directly into users’ workspaces. The Einstein Platform offers administrators and developers a comprehensive suite of platform services, empowering them to create smarter applications and tailor AI solutions for their enterprises. What is the designated name for Salesforce’s AI? Salesforce Einstein represents an integrated array of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and attractiveness of businesses. Since its introduction in 2016, it has consistently been a leading force in AI technology within the CRM realm. Is Salesforce Einstein a current feature? “Einstein is now every customer’s data scientist, simplifying the utilization of best-in-class AI capabilities within the context of their business.” Is Salesforce Einstein genuinely AI? Salesforce Einstein for Service functions as a generative AI tool, contributing to the enhancement of customer service and field service operations. Its capabilities extend to improving customer satisfaction, cost reduction, increased productivity, and informed decision-making. Salesforce Artificial Intelligence AI is just the starting point; real-time access to customer data, robust analytics, and business-wide automation are essential for AI effectiveness. Einstein serves as a comprehensive solution for businesses to initiate AI implementation with a trusted architecture that prioritizes data security. Einstein is constructed on an open platform, allowing the safe utilization of any large language model (LLM), whether developed by Salesforce Research or external sources. It offers flexibility in working with various models within a leading ecosystem of LLM platforms. Salesforce’s commitment to AI is evident through substantial investments in researching diverse AI areas, including Conversational AI, Natural Language Processing (NLP), Multimodal Data Intelligence and Generation, Time Series Intelligence, Software Intelligence, Fundamentals of Machine Learning, Science, Economics, and Environment. These endeavors aim to advance technology, improve productivity, and contribute to fields such as science, economics, and environmental sustainability. Content updated April 2023. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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