Robotic Process Automation (RPA) boils down to simply automating repetitive tasks, especially the ones where we as professionals add little value in the outcome. The benefits of automation over manual work are obvious and plentiful: time saved, the ability to scale a process or delegate ownership, and reduced risk of human error are just a few justifications for investing time in automation. Often we see our customers implement automation through code like VBA (Visual Basic for Applications) macros, BAT (DOS/Windows command batch) files and PowerShell scripts. However, this route often creates new challenges such as heavy reliance on fragile scripts and technical know-how that is often hard to pass along: software developers call this Technical Debt. QueBIT offers a line of products to provide you with supported tools that help you automate everything from loading data and ETL (Extract, Transform, Load) to report distribution and workflows for data collection, without the Technical Debt. QueBIT Euclid Studio allows us to automate data flows, ETL and layer-in predictive analytics while QueBIT ReportWORQ (which is the main subject of this article) now automates data contribution (input forms) and PowerPoint presentation generation in addition to its popular Excel, PDF and HTML report distribution features for data sources such as: Workday Adaptive Planning, IBM Planning Analytics, Excel and Microsoft SQL Server.
QueBIT’s typical client is a Vice-President of Finance, CFO, or an operational executive - say an Inventory manager or Vice-President of Supply Chain. Our typical conversation with them involves an aspect of digital transformation in their planning, analysis or reporting processes; and how technology may help them increase business agility, improve forecast accuracy, speed up planning cycles and make better data-driven business decisions.
In October 2020, a new user experience (UX) was unveiled for IBM Planning Analytics Workspace (PAW), which we wrote about here. In this article we will share QueBIT’s release recommendations for new PAW.
Data is the fuel of all analytics, whether you want to provide accurate timely information to decision-makers on the front lines, provide a comprehensive customer dashboard to your executives, do a predictive demand forecast or simply complete your annual budget.
You’ve been seeing people push AI and Machine Learning (ML) at you for years. Just about every magazine, research report, and unsolicited email you received in 2020 had an AI or ML angle. Maybe your organization has even talked about how ML can help solve your problems. But chances are, you haven’t implemented it. Most companies haven’t. But why is that? And why should you take the leap now?
With the October 2020 release of IBM Planning Analytics Workspace (PAW) 2.0.57, IBM is boldly starting a brand-new chapter for Planning Analytics (TM1) leveraging their open source Carbon design system for products and digital experiences. Going forward, all IBM software products will share the Carbon look and feel.
Artificial Intelligence (AI) and Robotic Process Automation (RPA) technologies are offering new levels of automation and intelligence in the Office of Finance. These technologies are underpinning many digital transformation efforts in finance and accounting. For RPA, which is all about eliminating tedious repetitive manual tasks, most growth has come from shared services centers implementing RPA solutions to support transaction processing, such as: