Preparing SAP for the onslaught of modernization requires examining key challenges that currently inhibit efficiency and agility. Approaching SAP process automation with a fresh lens, focused on streamlined operations and embracing innovation, is crucial for ongoing success.
Charles Howard, director, product management, Precisely, joined DBTA’s webinar, The Future of Automation: AI, APIs, and Cloud Modernization, to highlight key insights and trends that will help viewers prepare their SAP processes for modern business’ next evolution.
“It’s no secret that every organization is facing complex challenges,” noted Howard, especially as they navigate dynamic and disrupted business environments. Compounded with the resource intensiveness of SAP modernization and the increased pressure that AI innovation puts on data infrastructures, enterprises are juggling a series of intricate, simultaneous obstacles.
“This creates a tension between maintaining today’s operations and preparing for tomorrow’s innovation,” Howard said. This boils down to a few—seemingly simple—imperatives: increase revenue, improve efficiency and effectiveness, and mitigate business risk while simplifying complexity.
However, anyone involved in modern business knows achieving each of these facets is easier said than done. Howard explained that through aligning automation to enterprise goals, organizations can deliver on a variety of focuses—from optimizing business processes to simplifying SAP migrations, speeding up product launches, achieving AI-ready data, and increasing IT productivity.
The Precisely Automate family of products eliminates manual data entry, improves data quality, and reduces technical skillsets required to automate essential SAP business processes, centralized within a low-/no-code platform. It dramatically increases time-to-value, allowing users to go live in weeks, not months; lowers TCO and increases integration flexibility with non-SAP systems; and generates better business outcomes with enhanced business agility, higher data quality, and tighter compliance.
One use case for Precisely Automate, material master creation, is often a highly manual, complex process with a lot of room for error due to high quantities of business rules.
“What you have is a highly complex process, a highly complex set of data, and lots of possible data entry error points—and lots of business rules to try to prevent those errors,” said Howard. “Erroneous master data can have really costly downstream consequences, from production delays to even products being manufactured incorrectly. That’s exactly why trusted data is so important.”
To remediate this challenge, Precisely’s Evolve Intelligent Autocomplete for Material Master introduces AI to the material master creation challenge. With Precisely’s own AI algorithm for advanced search and autocomplete, users benefit from accelerated material master creation and management while mitigating various errors.
Precisely emphasizes the value of an AI-driven data and process improvement loop, where with AI-enhanced process automation, Precisely enables users to improve initial data quality upon entry, while also allowing the use of high-quality data to improve AI recommendations for process automation.
This is only a snippet of the full The Future of Automation: AI, APIs, and Cloud Modernization webinar. For the full webinar, featuring more detailed explanations, a look at more challenges, a Q&A, and more, you can view an archived version of the webinar here.