Скачать или смотреть Time Series Forecasting in Microsoft Power BI

In this 1-min video, learn how you can perform time series forecasting in Microsoft Power BI, independently and without need for any servers or third party libraries..

Feed in your historic data into ValQ, and watch it create projections on-the-fly. In case you are not highly familiar with the time series forecasting techniques, you may use the intelligent auto-forecast that shows you several options - from which you can choose a forecast that suits your scenario the best. With ValQ, you can perform time series forecasting + demand planning / financial planning/ operations planning from a single interface.

About ValQ:

ValQ (Power BI Certified) is an independent, server less, and multi-purpose application that supports use cases across the enterprise. It can empower what-if simulations, scenario analysis, sales / finance / operations planning, forecasting, budgeting, value driver planning, variance analysis, sensitivity analysis, attribution analysis, time series forecasting, and more.

Product Highlights

*GENERAL*
1. ValQ is an independent and serverless solution; It does not require any database, server or IT support to operate.
2. ValQ is designed for analysts. Build models with no need for coding & scripting skills.
3. Build analysis models directly from data in seconds
4. Build complex planning models by leveraging a library of spreadsheet-like mathematical formulae & functions
5. Visualize your data in expandable/collapsible tree and tabular formats
6. ValQ is mobile-friendly; Leverage pinch-and-zoom, click-and-drag and touch-friendly gestures on mobile devices
7. Perform cell-level and node-level commenting

*SIMULATIONS & ANALYSIS*
1. Perform what-if simulations on the fly using a drag-drop interface, and visualize the impact on outcomes instantly & intuitively
2. Create multiple scenarios and compare scenario outcomes in a few minutes, not hours
3. Enhance your productivity by using in-built analysis templates for scenario comparisons, attribution analysis, and variance analysis

** TIME-SERIES FORECASTING **
1. Perform time-series forecasting from historical data without bringing in or integrating libraries from R and Python. Methods available include linear trend, weighted average, and moving average. An auto-forecast capability is also available.

** PLANNING **
1. Create plans based on most recent performance or from a blank template (for zero-based budgeting)
2. Leverage an intelligent & editable table interface to perform top-down and bottom-up planning intuitively; The editable table is intelligent enough to identify simple mathematical operations with scaling e.g., +12.4k, -5%
3. Automatically distribute any updates across the planning hierarchy & time (vertically & horizontally) using one of various spreading & allocation methods - weights-based, trend-based, and driver-based.

* WRITE-BACK & COLLABORATION*
1. Integration with Office365/Microsoft Azure
2. Secure sign-on facilitating write-back & collaborative planning
3. Write-back to Microsoft Azure and publish as web service
4. Share scenarios with specific users to facilitate collaboration
5. Create, share & respond to comments with your team for conversation-enabled planning

ValQ is available in two editions: ValQ (PBI certified edition) and ValQ Collaborate (with Azure Integration for collaboration, storage & audit features). Visit our website to learn more.

*ADDITIONAL INFORMATION*
Website: https://valq.com
For downloadable demos (.pbix files): https://valq.com/demos
For pricing: https://valq.com/pricing/#certified; (per-user and team pricing available)
Join our online community and get all your questions answered at https://community.valq.com

To receive regular updates:
Twitter:   / valqplan  
LinkedIn:   / valq  
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