Senior Software Engineer

How Google Sheets integration transforms SAP data automation for enterprises. Discover how integrating Google Sheets with SAP automation tools accelerates data management, boosting efficiency and reducing manual errors in enterprises. Jasnita Telekomindo Editorial Team Managing SAP data traditionally involves complex interfaces and rigid workflows, often relying heavily on desktop Excel files for batch updates or validations. However, the recent extension of Precisely's Automate Studio to support Google Sheets marks a pivotal shift in how enterprises can streamline SAP data operations. By enabling integrations with cloud-native tools like Google Sheets, organizations can leverage collaborative, real-time spreadsheet environments without sacrificing the robustness necessary for SAP mass data processing. This innovation paves the way for faster, more transparent, and flexible enterprise workflows. SAP's powerful but complex user interfaces often become bottlenecks when business teams need to perform bulk data changes or validations. Historically, Excel-based templates have been the fallback for mass updates, but this approach has drawbacks: * Lack of real-time collaboration: Excel files are static and require manual version control. * Dependency on desktop software: Limits accessibility across devices and locations. * Error-prone manual input: Increases the risk of costly data mistakes. These challenges slow down business processes, impair data accuracy, and elevate operational risk. Adopting Google Sheets as the front-end for SAP data automation brings key advantages: * Cloud-based collaboration: Multiple users can update and validate data simultaneously, enhancing transparency and teamwork. * Accessibility and mobility: Team members access sheets from any device or location, accelerating decision-making. * Templates for mass changes: Pre-designed Google Sheets templates simplify complex SAP transactions like posting and validation. * Reduced SAP interface load: Automate Studio handles SAP backend operations, so users need not navigate time-consuming SAP screens. This integration turns SAP data management from a specialist IT task into a streamlined, user-friendly process accessible to functional staff. * Mass Product Data Updates: Marketing teams can collaboratively update product descriptions or pricing across hundreds of SKUs without waiting for IT scheduling. * Transaction Posting: Finance departments can validate and post multiple financial transactions efficiently through standardized sheets. * Data Validation and Error Correction: Operational teams identify and correct inconsistencies in real-time, improving overall data quality. Studies show digital spreadsheet collaboration paired with backend automation delivers measurable benefits: * 30% reduction in data processing time, thanks to real-time multi-user access compared to Excel workflows. * 25% fewer manual errors in SAP data entries, attributable to validated templates and automation. * 40% improvement in cross-department workflow efficiency, due to enhanced accessibility and ease of collaboration. These figures highlight the substantial operational uplift enterprises can achieve. Enterprises looking to modernize their contact centers and communication platforms can find synergy in adopting Jasnita's solutions alongside SAP automation: * Jasconnect provides cloud-based phone and SMS integration, ensuring business communications seamlessly align with operational backends. * Toschat omnichannel enables unified messaging and AI chatbot support, enhancing customer and internal stakeholder engagement. * TORO AI can complement automated SAP data workflows by delivering AI coaching and agent assistance, improving workforce productivity. Together, these solutions form a robust digital transformation stack that can handle data, communications, and customer experiences holistically. The extension of Automate Studio to Google Sheets exemplifies a broader trend towards cloud-first, collaborative enterprise tools. Leveraging cloud spreadsheets combined with automation platforms reduces reliance on legacy desktop software and siloed IT operations, driving initiatives like: * Decentralized decision-making: Empowering frontline users with direct access to data workflows. * Real-time analytics and insights: Integrating with CX platforms and CRMs to act swiftly on validated data. * AI-powered self-service: Automating routine data manipulations and validations for faster outcomes. Integrating Google Sheets with SAP automation tools injects agility, scalability, and collaboration into enterprise data management practices. This innovation not only enhances efficiency but also reduces errors and operational risks. Enterprises committed to digital transformation should evaluate how cloud-native spreadsheet automation can complement their existing ERP and contact center ecosystems. Solutions like Precisely Automate Studio's extension and Jasnita's cloud communication platforms represent significant steps towards modern, integrated business operations. By focusing on accessible, user-friendly interfaces supported by powerful automation engines, IT leadership can drive meaningful improvements in productivity and data quality across their organizations. Branded, ready-to-share infographics for your marketing team Enterprise Technology Discover how integrating Google Sheets with SAP automation tools accelerates data management, boosting efficiency and reducing manual errors in enterprises. Average Reduction in Data Processing Time Using Cloud Spreadsheets jasnita.com IDX Listed JAST

Precisely has launched AI Studio, a collection of ready-made applications, agents, and skills designed to accelerate enterprise AI development. The offering helps builders create AI solutions compatible with tools including Claude, Microsoft Copilot, and ChatGPT, working with the Precisely Platform's data quality and enrichment capabilities. According to McKinsey's State of AI report, nearly two-thirds of organisations remain in experimental or pilot mode, unable to scale AI across their enterprises. AI Studio addresses this challenge by providing working examples that demonstrate how to prepare data for AI applications. The platform includes assets for geocoding addresses, launching governance workflows, and configuring data replication pipelines. Partner Korem noted that development time has reduced from months to days using the natural language interface. AI Studio is available immediately with a free trial for new users.

Precisely launches unified AI data platform and AI Studio library of agents and apps. Data management software company Precisely Software Inc. today introduced the Precisely Platform, a unified system designed to make enterprise data ready for artificial intelligence. Developers also get Precisely AI Studio, a library of ready-made AI agents and apps. Precisely is pitching the platform as an answer to the "patchwork of point solutions" enterprises use to manage data held in cloud lakehouses as well as older mainframe and SAP systems. When agents start acting on that data by themselves, a mistake a person might once have caught can become an automated decision before anyone steps in. Stewart Bond, an International Data Corp. vice president who tracks data intelligence and integration software, said many organizations "continue to struggle with fragmented data environments" as pressure builds to put AI to work. He described the industry as shifting toward "unified data intelligence platforms." On the Precisely Platform, nothing has to be migrated into a single ecosystem first, since data is managed "where it lives," as Precisely put it. Every tool on it, master data management included, draws on one metadata and semantic layer. A rule or policy defined once applies across all of them. Work that Precisely said "previously required specialized expertise," such as writing data quality rules and matching records, is now handled by AI built into the platform. Every data asset can also carry quality and governance scores, which Precisely wants executives to treat as evidence of what is fit for AI and where risk remains. "Agents don't stop to question the data they're given," said Matt Waxman, chief product officer at Precisely. "They act on it at scale, far faster than people can catch and correct errors." Precisely calls location intelligence and built-in data enrichment the platform's "distinctive capabilities." Its enrichment data arrives "pre-linked" with location and business attributes for more than 250 countries and territories. The company describes the result as "a connected, machine-readable model of the world" for AI to work from. Gio, the platform's AI assistant, is one way in. Application programming interfaces, software development kits and a command-line interface let teams use the platform from tools they already run. New Model Context Protocol servers, also out today, open the platform and a number of existing Precisely products to assistants such as Claude, Microsoft Copilot and ChatGPT. AI Studio is the part of today's news aimed at developers. Its assets work with all three of those assistants, and Precisely says users can start prototyping within minutes. Several show how to improve data with platform features such as address geocoding and data replication pipelines. The collection also includes apps and agents that build on that data, such as a property analyzer and a real estate intelligence agent. Waxman said a convincing AI demo is the easy part compared with "building AI you can trust at scale." At Precisely partner Korem Inc., a Canadian geospatial firm, time to value on customer projects "used to be calculated in months," according to Jimmy Duchesne, director of solutions innovation and presales. He said it can now be measured in days. The Precisely Platform is in preview and is due to reach general availability in early 2027. AI Studio is available now, and new users can sign up for a free trial. Precisely, which went by the name Syncsort until 2020, will walk through both launches at a virtual event Thursday. Image: Precisely. 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