With today’s consumer demands, accurate and accessible data is necessary to have a well-oiled business. With challenges like supply chain disruptions, varying cost changes, and a rapid innovation rate, it is not possible to properly function if your data is scattered throughout outdated systems.
In our recent webinar, "Streamlining Your Data to Enable Digital Transformation," we explored the vital role of digitizing specification data using Specright's purpose-built platform. As digital transformations continue to reshape businesses, the need for efficient and accurate data management has never been more critical. Let's dive into the key insights from the webinar and how they can transform your approach to data.
Breaking the Cycle of Traditional Data Challenges
Organizations continue to rely on outdated data collection methods that worked in the past, but don’t serve companies to their full potential today. According to our 2025 State of Specification Management report, over 64% of businesses still rely on Excel, and 57% use shared drives. This fragmentation leads to inefficiencies and potential data loss. By digitizing data and breaking down silos, companies can address these challenges and enhance collaboration across departments.
The Specification Data Management Maturity Model
One of the biggest challenges companies face is simply starting this data digitization journey. This progression begins with disorganized, paper-based data and advances to a strategic maturity level where data is treated as a critical asset. Specright helps implement a systematic approach with workflows and data governance, allowing a space to foster collaboration and help maintain a singular source of truth.
From Static to Dynamic - Streamlining Data Collection and Validation
The first step to digitizing your data is with data collection. This often involves gathering information from vendors and suppliers. Specright facilitates this through Spec Squad and Spec Assist. The process continues with data validation and standardization to ensure the data is accurate and usable. Once the data is properly cleaned, it is uploaded into Specright and continually maintained. By digitizing and integrating data, companies can connect packaging specs with suppliers, keep communications between partners open, reduce errors and improve traceability.
Harnessing AI for Data Management
Artificial intelligence (AI) plays a pivotal role in modern data management. Specright's Intelligent Document Processing (IDP) tool leverages AI to extract attributes from static documents, streamlining the creation of new records. This technology reduces manual efforts and enhances data accuracy, enabling real-time decision-making across integrated systems like ERP and PLM platforms. Another AI tool is Specright’s SpecGPT which enables natural language processing, allowing users to query their data effortlessly and receive actionable insights. It is crucial to remember though that the data powering these AI capabilities must be accurate and complete.
Future-Ready Transformations
In conclusion, this webinar emphasizes the importance of digital transformation when it comes to data management. By embracing automated systems and AI, businesses can streamline processes, enhance collaboration, and drive sustainable innovation. Stay tuned for more webinars and resources to support your digital journey, and don't hesitate to reach out for more information or assistance.
