Accurate, relevant, and actionable data plays a crucial role in the growth of a business; if not meticulously managed, data assets can be an obstacle to growth.
Therefore, effective data management is a vital tool in enhancing data processes, improving the value of your data assets, and ensuring authenticity and quality.
At Flare Solutions, we can support your business with all aspects of data management. Read More...
Sometimes it's difficult to understand what data and information your company has available, where it's located, its accessibility, quality and provenance. This often leads to end user frustration and more pressure on data and information management teams to find data. Flare have the tools and experience to classify, categorise and deduplicate your information...
You know you need to tag your documents so someone can find them in the future but would you like some help doing it?
Flare’s Autotag solution automatically does the clever stuff to tag documents with the correct descriptive taxonomic terms, such as document types, well names, field names or disciplines (and others). Tags are selected by interrogating file names, file paths and/or document content, ensuring that each document is stored with the appropriate metadata and enabling better search and retrieval results...
Almost all businesses are rich in data but, the larger the organisation, the more complex the information web can become. Data plays a crucial role in business development, as it allows leaders to make informed decisions based on tangible evidence, such as statistics and trends, rather than intuition or guesswork. But, when you are swamped by data, it can be difficult to see the wood for the trees and locate the right information you need, when you need it most.
The benefits of Machine Learning are extensive and promise to transform the way that businesses operate, with significant cost savings, enhanced productivity, and better efficiency likely once an AI project has been implemented. However, the effectiveness of ML depends heavily on the quality of the data, so why is data cleaning fundamental to successful AI data processing?
Like all industries, the energy sector is subject to market forces. Changes in the underlying price of oil or gas, advances in technology opening up previously difficult-to-produce hydrocarbon deposits or just a simple drop in consumer demand as the world strives towards carbon neutrality can leave many years’ worth of work relegated to the corporate archives...
For a long time, knowledge workers have had to manually capture useful information contained in documents by transcribing it to corporate repositories.
If the reports are hardcopy, they may also have to use digitisation services to apply Optical Character Recognition (OCR) technology and produce searchable PDF-type digital files before the information is manually captured...
Sometimes it's difficult to understand what data and information your company has available, where it's located, its accessibility, quality and provenance. This often leads to end user frustration and more pressure on data and information management teams to find data...
Finding the right words isn’t always easy. If you are new to a team or company, or the information you are looking for is obscure and difficult to locate, a traditional search tool may require you to use exactly the right keywords in your search term to produce results ― and even then, things may be a little hit and miss.
But not so with Intelligent Search...
You know you need to tag your documents so someone can find them in the future but would you like some help doing it?
Flare’s Autotag solution automatically does the clever stuff to tag documents with the correct descriptive taxonomic terms, such as document types, well names, field names or disciplines (and others)...
Get in touch if you’d like to know more.