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Microsoft dynamics 365 intelligence experiences17
- 2. L’offre de valeur de Microsoft de Dynamics 365 Ventes Service Marketing Field service Gestion de projets Opérations et finances PRODUCTIVITÉ DYNAMICS 365 PLATEFORME INTELLIGENTE AZURE Processus métiers Données APPS COMPLEMENTAIRES Plateforme applicative unifiée et service de données commun APPS SUR MESURES Processus métiers Modèle de données commun Données externes
- 3. Azure Données connectées : Dynamics 365
- 4. Données connectées : Dynamics 365
- 5. Données connectées : Dynamics 365 LinkedIn
- 6. Données connectées : Dynamics 365 LinkedIn Solutions partenaires
Notes de l'éditeur
- Today, we are taking the first step to bring our customers next generation, modern, enterprise-ready intelligent business apps with the introduction of Microsoft Dynamics 365. Technology is transforming our personal lives with apps and services that are simple and intuitive, and deliver helpful assistance to improve our lives. In contrast the apps and services we use to drive business process are often difficult to use, try and deploy. Some even make you pay extra for capabilities like visualization, workflow automation and predictive insights. We imagine a better world for business users everywhere. One where there is no artificial divide between CRM and ERP, where you have integrated solutions so you can track leads, automate field service, drive sales and improve operations using modern, mobile, enterprise-ready intelligent business apps from the cloud that are as easy to use as the consumer apps that help us all get rides, book rooms, listen to music and take actions to improve our health.
- Beneath Dynamics 365 is our common data model – connecting business data in a well-structured form that facilitates reasoning over it - But it’s not just your business application data
- Its your productivity and collaboration data from Office 365, including email, calendars, phone calls, messaging
- Its your professional networks – LinkedIn for contacts, connections, skills, employment history
- Its data from other solutions and external/ ambient data – whether it is partner applications, consumer or device data from IoT. Microsoft is enabling this with the common data model that makes it possible for us to connect all the data streams, enabling new business processes that were not possible in the past. As I mentioned, to sort through the masses of data and drive intelligent action, you need the advanced intelligence to reason through the data, find insights and turn those insights into intelligent actions, next best actions and decisions.
- Relationship Insights - continuously analyzes customer-interaction data (activities, meetings, communications, and other sources) to help you better understand your business relationships, evaluate your activities in relation to previous successes, and choose the best path forward. Lead Scoring - can score and grade all leads automatically based on behavior-tracking data, lead configuration, and other criteria defined in your lead scoring models. The system is extremely flexible so you can configure and assign lead scoring models to match the precise business needs, priorities, and processes in place at your organization. Cross-Sell/Up-Sell – Product suggestions are available for any product line item where product relationships have been defined. Knowledge Base Insights Demand Forecasting Cash Flow Forecast Product Recommendations Preemptive Service Resource Optimization Predictive Sales and Inventory Forecast Intent Analysis - acquired posts are analyzed by the machine-learning based algorithm to detect authors’ intentions. Posts are scored against the algorithm and, if applicable, marked with the intentions identified. Sentiment Analysis – see the perception of a post and sentiment value using sentiment algorithm in the original language. The sentiment value results in a positive, negative, neutral, or unknown sentiment for a post.