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The Microsoft Azure Blob integration is now generally available in CloudWorks! Azure Blob Storage is massively scalable and secure object storage for cloud-native workloads, archives, data lakes, high-performance computing, and machine learning. With this newly released bi-directional integration, Anaplan users can connect to and schedule integrations with data in Azure Blob using the CloudWorks user interface. Simple to configure and free to use, joint customers can quickly and easily aggregate data from multiple sources and automate processes within the Anaplan platform. Additionally, the CloudWorks-Azure Blob integration makes it easy to: Model agile business scenarios, analyze data, and build forward-looking strategies with high volumes of data faster and easier. Schedule and automate Anaplan processes containing multiple integrations with Azure Blob directly in the CloudWorks interface Get up-to-speed on CloudWorks with these resources. We refresh these often so check back frequently for updates! Using Anaplan CloudWorks training (20 minutes) CloudWorks in Anapedia ... 查看更多

我们很高兴地宣布，Anaplan用户现在可以通过CloudWorks用户界面连接到Google BigQuery！随着组织继续收购和消耗更多的数据，随着新的数据源的添加，通常会反对IT资源来支持业务用户。亚搏娱乐电子通过简化与云存储解决方案（例如Google BigQuery）的集成，Anaplan中的CloudWorks接口可为业务用户更快，更轻松地访问数据，而不会负担。我们新启动的双向Cloudworks-figquery集成为联合客户提供了一种简单，无编码的方式，可以直接在Anaplan平台内融合第一方和第三方数据。CloudWorks界面是一种本机平台工具，可以减少业务用户对IT团队的依赖性界面，而在访问和汇总Anaplan平台中的外部数据源。在Anaplan Cloudworks中设置Google BigQuery连接消费，分析和采取大量为业务敏捷性设计的数据，Google BigQuery是一款高度可扩展，具有成本效益和无服务器的多云数据仓库。CloudWorks中的双向集成在其Google Cloud Project中连接到客户的Google BigQuery环境，以将数据导出和导入Anaplan平台。借助CloudWorks的本机自助界面，业务用户可以轻松地从连接到Google BigQuery的多个源中汇总数据，同时在单个真理源中自动化流程。结果，分析大量数据并对前瞻性预测和策略进行建模变得更快，更容易。安排常规数据流程，以制定敏捷决策，以制定随着数据更改而锁定的计划和决策，商业计划者可以使用CloudWorks安排从Google BigQuery到Anaplan的常规数据流程。 Not only does this help planners quickly inform and refresh forecasts across channels, geographies, and product lines, but it also saves them time by scheduling automatic integrations at hourly, daily, weekly, and monthly cadences. This quick, regular access to internal and external data is a game-changer for teams like human resources and supply chain planners. While managing large volumes of data can make workforce planning challenging, HR teams can use CloudWorks to streamline processes and keep people, skills, channels, and geographies aligned and in sync with third-party data refreshes. Similarly, keeping on top of demand shifts across channels, geographies, and SKUs becomes easier with direct access to third-party data in Google BigQuery. Supply chain planners can replace manual data entries with automated integrations for faster, more granular demand planning—shortening lengthy planning cycles while speeding time to insight. Faster, easier data sharing in the Anaplan platform Native model-to-model import functionality in CloudWorks makes it easier than ever to share third-party data from Google BigQuery in downstream models. Data can be distributed from the Data Hub to Spoke models, such as a sales forecasting model in the Anaplan platform, to make data more readily available across different corners of the business. For example, users can quickly and automatically update sales forecasts with customer-, product-, and opportunity-level data from Google BigQuery, which can also be imported over to a revenue model to analyze progress to targets and address business gaps. Ready to get started? Everything you need is in CloudWorks today Anaplan is thrilled to launch a bi-directional Google BigQuery integration that helps our joint customers drive even greater value from both products. Learn more about the Google BigQuery integration with these Anaplan resources. Learn how to connect to your BigQuery dataset in Anapedia Get started using CloudWorks with our training courses in the Anaplan Learning Center ... 查看更多

您可以使用本机沃公司的能力to distribute data from the Data Hub to Spoke models, or between different models in the platform, any time you want with its model-to-model import functionality. No activation or add-on services are required to use this—everything you need to get started is in CloudWorks today. TL:DR: You don't need technical resources to run model-to-model imports in the platform; new functionality now available through the CloudWorks user interface. Get up to speed with the following resources: Academy : CloudWorks training (< 20 min) Community articles and series : CloudWorks best-practices series This is how we use it: model-to-model import Anapedia : CloudWorks technical documentation ... 查看更多

Use the native capabilities in CloudWorks to distribute data from the Data Hub to Spoke models, or between different models in the platform, any time you want with its model-to-model import functionality. No activation, add-on services, or technical resources are required to use—everything you need to move data between models in the platform is in the CloudWorks user interface today. Get up to speed on what you can use CloudWorks for with the following resources: Academy : CloudWorks training (< 20 min) Community articles and series : CloudWorks best-practices series This is how we use it: model-to-model import Anapedia : CloudWorks technical documentation ... 查看更多

Model-to-model import is now available in CloudWorks! Easy to set up and ready to use, model-to-model import helps you automatically move data from one model to another—on the schedule that’s right for you and without additional IT resources. With CloudWorks, Connected Planning has never been easier—you can distribute data from the Data Hub to Spoke models, such as finance or supply chain models, to make planning data more readily available for your planners across the business. The following use-case examples can all be scheduled and automated by model builders within the Anaplan platform using CloudWorks: Your finance team may have a finance forecasting environment separate from their AOP model—depending on the level of detail and stakeholders and planners involved—and they want to update and analyze the AOP model as forecast data is updated. More detailed sales forecast data, such as customer-level, product-level, and opportunity-level data, can be imported into a revenue model to analyze progress to targets and address gaps. An HR model with sensitive employee data could be used to update an OPEX model for a more comprehensive, holistic view. More About CloudWorks: CloudWorks—This is How We Use It, Part 1: The Basics CloudWorks—This is How We Use It, Part 2: Setup CloudWorks—This is How We Use It, Part 3: The CloudWorks API CloudWorks—This is How We Use It, Part 4: Using CloudWorks APIs With AWS Lambda CloudWorks: This is how we use it - Part 5: Model-to-Model Watch the on-demand session from Anaplan Live! in June 2021 to hear about the model-to-model launch in CloudWorks and the future of agile, intelligent planning: "The Future of Agile, Intelligent Planning: A Conversation with Anaplan Product Leaders. " In this session, Anaplan Live! Host Chris Weiss has an in-depth conversation with Anaplan’s Product Leadership on the current state of Connected Planning. Find out how our latest innovations empower model builders to navigate the future and support executives to stay ahead of the curve. See what’s in store for the platform and how it will revolutionize the way model builders work within Anaplan. ... 查看更多