Turn your enterprise data into intelligence with Datavid's knowledge management services
Improve the value of your data, uncover new insights, and deliver better user experiences with Datavid’s proven knowledge management advisory for your enterprise.
Turn disparate data into real world value
Not all types of data share the same value. It can be challenging for a company to determine which data is most valuable at any one time if they're dealing with multiple sources.
Datavid’s knowledge management platforms and services help you to build a strong foundation where data and the knowledge hidden within is easy to identify, organise, store, and share with everyone across the organisation.
Add value to your services
Surface intelligent information for any end-user to benefit from.
Datavid's knowledge management services, by building reliable APIs, helps you surface enriched data for use in any application: whether that be a customer-facing app or intranet portal.
You are enabled to present data added with knowledge wherever you want and develop entire data editing workflows for subject matter experts.
Enhance your data security
Protecting your company’s data is important and has its own challenges.
Even a single data breach not only causes monetary damage but hits your organisation in terms of credibility and customer trust.
Implement Datavid’s knowledge management services and systems to customise access controls.
You will be able to track ownership, lineage, and analytics to provide your employees the freedom to access information in a secure manner.
Harness the collective knowledge of your organisation.
Data is multi-faceted.
It carries knowledge within it that isn't explicitly known.
Datavid’s knowledge management expertise enables you to expose that value and real-world insights without any technical headaches.
Scientific research & publishing
For any research, you require to find and analyse electronic and physical documents.
You need to gain an understanding of their meaning and develop it. Datavid’s AI-powered semantic platforms help you understand the semantics of scientific literature.
These platforms use ontologies to integrate information from several sources to get you the relevant facts through faceted search, detect plagiarism, and generate automatic reviews.
Financial services
Discover more about your data for better monitoring of finances.
Financial transactions involve multiple entities forming a complex network.
Your relational databases are not good enough to detect numerous connections and patterns.
Datavid’s ML-enabled knowledge graphs provide a visual interface bringing to the surface all the entities and connections to spot fraud and predict potential threats.
Healthcare
In healthcare, electronic health records contain a lot of useful data. The personally identifiable data is highly confidential and is subject to regulations like HIPAA. Use Datavid’s ontology-based-NER capabilities to extract entities that matter to you and maintain confidentiality. This will help you identify disease trends, analyse symptoms, predict disease progression, and much more.
Agriculture
Agriculture data is complex and fragmented because of the involvement of multiple stakeholders and activities. There is a lack of standards and limitations in the exchange of agricultural data because of its dynamic nature. Datavid’s semantic platforms are powered by entity extraction, ontology, and knowledge graphs that semantically organise information.
This helps you implement common standards for sharing and using agricultural data.
You will manage well agricultural-related indicators by capturing connections between crop diseases, symptoms, fertilisers, etc.
CASE STUDY
Reducing support ticket volume and maintenance costs
Datavid helped a UK Ministry of Housing, Communities and Local Government reduce maintenance costs and the volume of support tickets by implementing self-service functionality and automating data extracts.
Datavid's team categorised support tickets, created a library of reusable scripts, and targeted improvement of high-frequency processes.
The solution decreased the volume of incoming tickets and increased user satisfaction, issue resolution, and overall productivity.
Datavid analysed support ticket trends and user feedback to make further improvements and optimised the MarkLogic cluster to reduce costs while maintaining performance.
I just wanted to say thanks. Our system has gotten so much better recently and it has obviously taken a lot of hard work.
Government agency
REPRESENTATIVE
Helping world-class firms make the most of their data with knowledge management services
Your Questions. Answered.
What are the 3 main areas of knowledge management?
The three main areas of knowledge management are:
- Knowledge Creation: Generating new knowledge within an organisation.
- Knowledge Capture and Storage: Collecting and preserving existing knowledge.
- Knowledge Sharing and Distribution: Facilitating the sharing and dissemination of knowledge within the organisation.
What are the 5 P's of knowledge management?
The 5 P's of knowledge management are:
- People
- Processes
- Platforms
- Policies
- Performance
What is knowledge management and example?
Knowledge management is the process of capturing, organising, and sharing an organisation's collective knowledge to improve decision-making and problem-solving. Example: An organisation creates a central repository where employees can document best practices, lessons learned, and expertise in a user-friendly format. This enables employees to easily access and apply this knowledge to their work, leading to increased efficiency and improved outcomes.
Your Questions. Answered.
What are the 3 main areas of knowledge management?
The three main areas of knowledge management are:
- Knowledge Creation: Generating new knowledge within an organisation.
- Knowledge Capture and Storage: Collecting and preserving existing knowledge.
- Knowledge Sharing and Distribution: Facilitating the sharing and dissemination of knowledge within the organisation.
What are the 5 P's of knowledge management?
The 5 P's of knowledge management are:
- People
- Processes
- Platforms
- Policies
- Performance
What is knowledge management and example?
Knowledge management is the process of capturing, organising, and sharing an organisation's collective knowledge to improve decision-making and problem-solving. Example: An organisation creates a central repository where employees can document best practices, lessons learned, and expertise in a user-friendly format. This enables employees to easily access and apply this knowledge to their work, leading to increased efficiency and improved outcomes.
Your questions. Answered.
The three main areas of knowledge management are:
- Knowledge Creation: Generating new knowledge within an organisation.
- Knowledge Capture and Storage: Collecting and preserving existing knowledge.
- Knowledge Sharing and Distribution: Facilitating the sharing and dissemination of knowledge within the organisation.
The 5 P's of knowledge management are:
- People
- Processes
- Platforms
- Policies
- Performance
Knowledge management is the process of capturing, organising, and sharing an organisation's collective knowledge to improve decision-making and problem-solving. Example: An organisation creates a central repository where employees can document best practices, lessons learned, and expertise in a user-friendly format. This enables employees to easily access and apply this knowledge to their work, leading to increased efficiency and improved outcomes.
Take your organisation's data practices to new heights
