In a recent announcement, Accenture launched its Accenture Intelligent Enterprise Platform, an insight-driven, digitally integrated platform designed to power enterprise IoT from business case to roadmap to delivery, according to the release. The Accenture Intelligent Enterprise Platform will help companies choose strategic investments, navigate complexity and realize value. The platform will reportedly encourage collaboration through a simplified, unified and guided approach. It starts with identifying specific business challenges, differentiators and intelligent tools that assess systems, processes, data and architecture against leading industry practices. Automation capabilities help to create a client-specific business case, roadmap and solution prototype.
If your primary interest in taking this course is getting a technical overview about bot building with SAP Intelligent Robotic Process Automation for the enterprise, you do not need access to any system. However, we realize that many of you will be interested in developing your own bots, based on the instructions in the course. We'll therefore provide the necessary instructions and installation procedures in the respective course weeks.
BPM, which has been around for quite some time, is focused on improving business processes. But it doesn't necessarily require automation; it could be as simple as improving an entirely manual process by streamlining it to remove unnecessary steps. In short, it's about using best practices to ensure processes are as effective and efficient as possible. Robotic process automation involves automating repetitive tasks to make a process less labor-intensive for humans. It works well with deterministic business processes that involve structured data; in other words, where the process is exactly the same every time and where data is in well-defined fields, such as a spreadsheet. The process also must not require any human judgment, working strictly on "if/then" scenarios. Example use cases for RPA include aggregating data for financial reports, such as at the end of a quarter. So long as you know where the reports' data has to come from, and where in the report it's located, RPA can automate the gathering and aggregation process and get it done far faster than a human.
Call it digital transformation, digital disruption, digital operations or digital process automation. No matter what term an organization uses to describe automation technology, the goal the same everywhere: to harness the power of digital to elevate the customer journey and drive end-to-end business outcomes. It all comes down to how an organization understands and uses its information cornerstone for success in creating a smart digital business. Software robots, often referred to as robotic process automation (RPA) systems, have gained considerable ground on this front, welcomed by C-suite executives who are keen to cut costs, improve productivity and gain a competitive advantage. RPA technology is in a relatively early stage, laying the groundwork for not only digital transformation, but also a new generation of intelligent applications that go beyond automating repetitive tasks, such as robots powered by artificial intelligence (AI).
A recent study from Bain indicates that automation will fuel an economic boom for the next 10 -15 years, far disruptive than anything we have seen in the last 60 years. Enterprises are seeking to invest in automation and this newest wave will stimulate further investment estimated to be $8T. Poised to capitalize on this unprecedented interest and market opportunity is UiPath. Its focus is on robotic process automation through its software platform that is designed for enterprise companies to automate repetitive tasks. Streamlining workflows in a scalable manner and saving corporations money, the platform allows you to train software robots, acting as an operating system for your automation needs.