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Datavid Rover:
Advanced named entity recognition software for smarter data extraction

Datavid Rover’s named entity recognition leverages ontologies to identify and extract relevant concepts.

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Save time sifting through data

Datavid named entity recognition software helps you leverage NER and streamline data processing and analysis, reducing the need for manual effort, and improving efficiency.

Get the insights you are looking for

Datavid Rover supports you in leveraging unstructured data to improve your products, services, customer experiences, and overall business operations.

Find critical relationships in your data

When NER works alongside ontologies, it can help your business identify critical relationships between real-world concepts, like how a drug causes side effects, or how a financial operation is connected to fraud.

Imagine collecting large amounts of customer feedback but struggling to make sense of it due to the unstructured nature of the data.

Without a reliable way to extract and analyse relevant information, you miss out on valuable insights that could inform product development and marketing efforts. This is where a named entity recognition software comes in.  

By using Named Entity Recognition (NER) in conjunction with ontologies to analyse relationships in data, your business can make more informed decisions and gain a competitive edge. The insights gained from NER can inform product and service development, improve customer experiences, and increase customer loyalty.  

Datavid Rover's NER tools use ontologies to revolutionise how you analyse data—leading to more efficient, effective, and impactful operations.

Say goodbye to manual data analysis 

Datavid’s named entity recognition software helps your business gain insights into customer sentiment, market trends, competitive intelligence, and more—transforming strategic decision-making and improving business performance. 

OUR WORK IN YOUR INDUSTRY
datavid rover automates tedious data processes

Automate tedious data processes

NER helps your business save costs associated with manual data processing and analysis.

By automating the identification and extraction of named entities, you can reduce the need for manual labor, increasing efficiency and productivity.

Datavid Rover helps your company automate processes, freeing up time and resources for other important tasks such as strategic planning, customer service, and product development.

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Improve your data analysis

NER helps extract relevant information from large volumes of unstructured data, making it easier to perform analysis and gain insights.

This is particularly important in industries where large amounts of data are generated daily. Datavid Rover takes charge of your data's path to actionable knowledge, analysing it quickly and accurately using NER technique, and returning organised and curated results.

datavid rover improves your data analysis
datavid rover improves your customers' experience

Improve your customers' experience

NER can help you enhance your customer experience by extracting and identifying relevant named entities such as product names, feature requests, and sentiment from customer feedback, reviews, and social media posts. This can help you gain a better understanding of customer needs and preferences, which can inform product development and marketing efforts

Datavid Rover uses NER to analyse your customers’ feedback, helping you respond more quickly and effectively to issues and concerns and improving their satisfaction and loyalty. 

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CASE STUDY

Boosting customer satisfaction and revenues

BSI faced the challenge of building a more powerful search system within their Compliance Navigator, allowing for contextual results and increasing customer satisfaction. 

Datavid proposed a solution based on the use of the knowledge graph, built on ontologies, capable of tracing the relationships between concepts and the BSl standards database.

The solution included a UI/UX technology upgrade, resulting in greater customer satisfaction and higher revenues. 

The new semantic search functionality shows results for related standards, even when search terms are not precise. Additional features include advanced search and creating templates.

Read the full case study →

datavid helped bsi boost customer satisfaction and revenues

QuotesFilled-1

Working with the consultants at Datavid was a great experience, they always guided us in the right direction and delivered significant value in short span of 3 months.

PRODUCT MANAGER AT BSI

Helping world-class firms make the most of their data with Datavid Rover

  • syngenta datavid customer
  • roche datavid customer
  • department of levelling up housing and communities datavid customer
  • standards australia datavid customer
  • american chemical society datavid customer
  • medical protection society datavid customer
  • smith and nephew datavid customer
  • abbvie datavid customer
  • healx datavid customer
  • progress marklogic datavid partner

Your questions. Answered.

Named Entity Recognition (NER) is a natural language processing (NLP) technique that identifies and classifies named entities, such as names of people, places, organisations, dates, and more, in text. It's used to extract structured information from unstructured text data.

Named Entity Recognition (NER) identifies and classifies specific entities, such as names of people, places, organisations, dates, and more, in text, making it easier to extract structured information from unstructured text data.

An entity is a general concept referring to something with a distinct and independent existence, while a named entity is a specific type of entity that is a proper noun, such as a person's name, a location, or an organisation's name. Named entities are a subset of entities and are often the focus of Named Entity Recognition (NER) in natural language processing.

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