SharePoint is the preferred platform for many organizations – especially those that run their enterprise operations on Office 365 – to store, manage, share and track business documents through a centralized location. While SharePoint is certainly a powerful document management system (DMS), its document library capabilities are quite limited. For example, it doesn’t possess any built-in high-powered search functionality – which means finding documents can sometimes be a frustrating experience for users who do not know exactly where to look, especially in large enterprises with a massive library of active business documents.
In addition, SharePoint does not provide advanced annotation capabilities or intelligent routing and profiling functions to end-users, who are often forced to resort to inefficient manual processes in order to complete complex tasks. The good news is that these shortcomings can be overcome with the help of Syntex, Microsoft’s new AI-driven knowledge management solution designed specifically for SharePoint.
How does SharePoint work?
SharePoint is a cloud-based collaborative platform that allows users to share, manage and access data across multiple platforms. It’s ideal for companies looking to streamline their document management processes while reducing costs associated with managing large amounts of data across multiple platforms. The software allows organizations to create websites where employees can store documents and share them with others in the organization. SharePoint also includes features such as wikis and blogs that allow teams to collaboratively work together on projects and keep everyone informed about new developments.
One of the main limitations of SharePoint is its limited ability to handle unstructured data. SharePoint can manage structured data, such as documents, spreadsheets, and lists effectively and that’s one of its highly useful benefits for most organizations. However, unstructured data, such as emails, social media posts, and customer feedback, are becoming increasingly important for organizations to manage, something which SharePoint cannot do on its own.
Another limitation of SharePoint is its lack of built-in AI/ML capabilities. While SharePoint can be integrated with other AI and ML tools, it does not offer these capabilities outside of the box.
Additionally, SharePoint’s search functionality is limited and not as accurate as other search engines like Google, Bing, etc.
Furthermore, SharePoint’s scalability is also a limitation. As the number of users and the amount of data increases, SharePoint can become slow and difficult to manage.
An introduction to Microsoft Syntex
Microsoft Syntex is an intelligent platform for organizing a wide range of content that businesses use in different contexts. It allows organizations to extract insights and meaning from unstructured data, such as text, audio, and video using AI, ML, and natural language processing (NLP).
One of the key capabilities of Microsoft Syntex is its ability to understand and extract information from unstructured data. It uses NLP techniques such as sentiment analysis, entity recognition, and topic modeling to automatically extract relevant information from text-based data.
Another key capability of Microsoft Syntex is its ability to automatically classify and categorize data. It uses ML algorithms to identify patterns and relationships in data, which can be used to sort and filter data, or to train models for predictive analytics.
Microsoft Syntex supports any Knowledge Management System (KMS) built on SharePoint by integrating with the platform. Through such an integration, it can automatically extract and organize information from SharePoint sites and documents, thus simplifying the process of searching for and accessing the relevant documents and information.
Additionally, Microsoft Syntex can be integrated with other Microsoft products such as Azure Cognitive Search, Power Automate and Dynamics 365 which allows organizations to extract insights from multiple sources of data, including social media, customer feedback, and more.
Overall, Microsoft Syntex is a powerful platform that can help organizations extract insights and meaning from unstructured data, automate data classification and organization, and integrate with other Microsoft products to gain insights from multiple sources of data.
Key features and benefits of Microsoft Syntex
Microsoft Syntex has several key features and benefits that make it a powerful tool for extracting insights and meaning from unstructured data. Some of the main features and benefits include:
Natural Language Processing (NLP) capabilities: Microsoft Syntex uses NLP techniques such as sentiment analysis, entity recognition, and topic modeling to automatically extract relevant information from text-based data. This way, users can simplify large volumes of unstructured data into easily consumable and comprehensible insights that aid decision-making.
Machine Learning (ML) capabilities: Microsoft Syntex uses ML algorithms to identify patterns and relationships in data, which can be used to sort and filter data, or to train models for predictive analytics. This allows organizations to automatically classify and categorize data, making it easier to find and access the information they need.
Integration with other Microsoft products: Microsoft Syntex can be integrated with other Microsoft products such as Azure Cognitive Search, Power Automate, and Dynamics 365, which allows organizations to extract insights from multiple sources of data, including social media, customer feedback, and more.
Knowledge Management System (KMS): Microsoft Syntex can be integrated with SharePoint to automatically extract and organize information from SharePoint documents and lists, making it easier for users to find and access the information they need.
Scalable, customizable, and secure: Microsoft Syntex is built on Azure, which allows organizations to scale up or down as needed, and to customize the platform to meet their specific needs. Being on the cloud, the platform can be accessed and configured by anyone authorized to use it from anywhere and at any time. Being built on Azure, the platform is protected by Microsoft’s world-class security and compliance standards.
Use cases and examples of how Microsoft Syntex can be applied
Microsoft Syntex can be used in a variety of industries and scenarios to extract insights and meaning from unstructured data. Some examples of use cases for Microsoft Syntex include:
Customer service: An organization could use Microsoft Syntex to automatically classify and categorize customer feedback, such as email and social media posts. This would allow the organization to quickly and easily identify common issues and concerns, and to respond to customers more efficiently.
Healthcare: A hospital could use Microsoft Syntex to extract information from patient medical records and to classify the data based on symptoms, diagnoses, and treatment plans. This would allow doctors and nurses to quickly and easily find the information they need to make informed decisions.
Retail: A retail company could use Microsoft Syntex to extract sentiment and emotion from customer feedback and reviews, which can then be used to improve their products and services.
Finance: A bank or financial services firm could use Microsoft Syntex to extract insights from financial reports, news articles, and other unstructured data. The platform could be used to identify trends and patterns, which can then be used to predict future market movements and make more informed investment decisions.
HR: A company could use Microsoft Syntex to extract insights from resumes, cover letters and other unstructured data to identify patterns and trends, which can then be used to improve their recruitment process.
These are just a few examples, but Microsoft Syntex can be applied to a wide variety of industries and scenarios to extract insights and meaning from unstructured data, making it easier for organizations to make informed decisions.
Integrating Microsoft Syntex with SharePoint
The integration of Microsoft Syntex and SharePoint allows organizations to build a unified knowledge management system (KMS) with multi-level search capabilities. The Syntex platform can be used to build multiple SharePoint sites dedicated to different categories of business data with each site having its own categorization and search configurations. Once the user has logged into their SharePoint site, they would be able to see all of their data stored within Syntex. If they wanted to view or make changes to any records, they could do so via this interface by clicking on any of the fields available within each record.
Microsoft Syntex can be configured to index SharePoint content, allowing users to perform complex searches across not only the documents stored in SharePoint but also those stored in other file repositories like Exchange Server mailboxes and SQL databases.
The integration between Microsoft Syntex and SharePoint is especially beneficial because it allows administrators to assign different permissions. It allows you to take advantage of the advanced search capabilities provided by Microsoft Syntex, while also providing seamless integration with SharePoint’s document management features. This can help make your organization more efficient and productive by allowing employees to easily find the content they need without having to leave SharePoint.
The ability to annotate documents, along with the built-in search functionality and business intelligence tools, makes Syntex a powerful tool for improving productivity and streamlining processes. The solution can help you manage your SharePoint data more efficiently, allowing you to make better decisions about what content is important and how best to use it.
Tips and best practices for maximizing the potential of the integration
Start small: Begin by integrating Microsoft Syntex with a small subset of your SharePoint data, and gradually expand as needed.
Keep data organized: Make sure that your SharePoint data is well-organized, with consistent naming conventions and clear categories. This will make it easier for Microsoft Syntex to extract and classify the data.
Train the model regularly: Regularly retrain the model on new data to improve its accuracy and relevance.
Monitor the results: Monitor the results of the integration to identify any issues and optimize configurations to see the results you want.
Use additional Microsoft products: Integrate Microsoft Syntex with other Microsoft products such as Azure Cognitive Search, Power Automate, and Dynamics 365 to extract insights from multiple sources of data.
By following these tips and best practices, organizations can maximize the potential of the integration and extract valuable insights from their SharePoint data.
Syntex is a powerful tool that can transform your SharePoint into an intelligent KMS. The solution comes with built-in search functionality and annotation capabilities, allowing users to find documents quickly and easily without having to resort to manual processes like emailing files around the office.
The solution also allows users to view and edit any documents stored within SharePoint, which can be useful if you need to make changes on the fly. Syntex is integrated with Microsoft Office 365, making it easy for users to access their data from anywhere at any time.