Harvest Forecast Integrations

Harvest makes it easy to track time, gain insights from past projects, and get paid for your work. A wide selection of visual reports keep projects running smoothly and your team supported. Harvest is ideal for teams in client services businesses that need a way to track time and expenses to multiple projects. Turn your team's tracked time and expenses into invoices and collect payments quickly with integrated online payments. Help your team spend time wisely with Harvest.

Finance can be made a team practice. Metric.ai is your single source of truth for all financial data. You can set project budgets, calculate costs, recognize revenue, and do so with complete confidence. Get a current view of profit, utilization and effective bill rates. Discover over 100 service-specific KPIs to help you make better decisions. To reflect the organization structure, categorize employees and projects into roles, offices, departments, and other categories. You can create more accurate forecasts by combining key metrics such as revenue recognition, multicurrency, financial closes, and historical change into one place. Increase predictability in your planning process. Get alerted about potential risks and gain actionable insights into why actuals differ from forecasts. Based on project and resource plans, plan revenue, costs, and profit. Changes can be accounted for in real-time.

Lyftrondata can help you build a governed lake, data warehouse or migrate from your old database to a modern cloud-based data warehouse. Lyftrondata makes it easy to create and manage all your data workloads from one platform. This includes automatically building your warehouse and pipeline. It's easy to share the data with ANSI SQL, BI/ML and analyze it instantly. You can increase the productivity of your data professionals while reducing your time to value. All data sets can be defined, categorized, and found in one place. These data sets can be shared with experts without coding and used to drive data-driven insights. This data sharing capability is ideal for companies who want to store their data once and share it with others. You can define a dataset, apply SQL transformations, or simply migrate your SQL data processing logic into any cloud data warehouse.

Activate customer journeys with complete visibility using infrastructure-as-code. Blotout's SDK provides companies with all the analytics and remarketing tools that they are used to. It also offers best-in-class privacy protection for company users. Blotout's SDK conforms to GDPR, CCPA, & COPPA. Blotout's SDK uses distributed edge computing on-device for analytics, messaging, and remarketing. It does not require any User Personal Data, Device IDs, or IP addresses. With 100% customer coverage, measure, attribute, optimize, activate, and optimize customer data. Only stack that combines offline, online and event data sources to give you complete customer coverage. To build loyalty and comply with the GDPR, establish a trusting data relationship with your customers.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

The ultimate Agile project management tool. iceScrum allows you to visualize your vision, make it visible to your team and ensures that it is kept up-to-date with business knowledge. Stories allows you to organize requirements and formalize the key features of your product. You can easily scale up Scrum, coordinate work between feature teams, and get a high level view of their progress using SAFe, LeSS, and more. To ensure predictable progress, ensure that deadlines are met and that enough work is done in each iteration.

Singer explains how data extraction scripts called taps and data loading scripts called targets should communicate. This allows them to be used in any combination to move any data from any source to any destination. You can send data between web APIs, databases, files, queues, or just about any other type of data you can think of. Simple applications with pipes, called singer taps and targets, are all that's required. There are no daemons nor complicated plugins. Singer applications communicate with JSON which makes them easy to use and implement in any programming language. Singer supports JSON Schema, which allows for rich data types and rigid structures when required. Singer makes it easy for incremental extraction to be supported by Singer's state-preserving invocations.