It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout.
Complex problems with unstructured data coming from multiple sources demand a connected and flexible foundation of data analytics. The use of knowledge graphs is a point of inquiry for more than 50% of companies who are looking for artificial intelligence solutions. Getting behind on using this technology means your company might lose the opportunity to use machine-understandable knowledge and get insights for better decisions.
Knowledge graphs become more and more important for businesses that want to scale, as they help to connect machine learning models with graph technologies . This gives additional value and helps understand data correctly. Knowledge graphs are widely used in fraud, waste, or abuse detection, semantic search, personalized recommendations of products, and many other fields. With the use of knowledge graphs, your business will get higher-quality analytics to better leverage data.
Having a wide range of experience in building and applying knowledge graphs for various industries, our experts will help you transform unstructured data into knowledge. We will deliver meaningful insights through visualizing flows of information, revealing communities, summarising relationships, and help you make more informed decisions
With such a big amount of textual data being produced every minute, it might be challenging for a company to handle it relying on human resources only.
Contracts are the engine of any business. Inefficient contract management is the root of 70-75% of failing projects that may cost you up to 9% of annual revenue.
Keeping the customers coming back and engaging with your brand or platform, wanting more of your content or product is proven to be beneficial in many ways.
Social listening is a powerful tool that can help you get valuable insights for your business by tracking social media platforms.
Every day your potential customers look for online reviews to choose a product or service as it’s the most important factor to consider after the price.
Customer service analytics is the process of collecting and analyzing data that is generated from your customer service team
Businesses that use visualization capabilities get an up to 130% ROI more compared to ones that do not use them
The use of knowledge graphs is a point of inquiry for more than 50% of companies who are looking for artificial intelligence solutions.
With high-quality, relevant, and accurate data you will be able to detect errors early at a lower cost and save resources for other stages of the process development.
Funnel analysis is a powerful analytics tool that helps see and track conversions on every stage of a customer journey.
Data anonymization is the process of protecting private or sensitive information from data sets. During the process, personally identifiable information is removed from data sets.
Data scraping is a crucial part of data science that includes the extraction of publicly available information from a web page, application, database, reviews, tables or even audio source and importing it to your local storage.
With data warehousing, every business shifts its focus from manual processing of the data to strategic goals. Storing consistent, standardized and accessible information enables its seamless usage between different departments, and helps them make smarter metric-driven decisions.
At Redfield, we help customers get started on projects efficiently.
Social listening is a powerful tool that can help you get valuable insights for your business by tracking social media platforms.
Every day your potential customers look for online reviews to choose a product or service as it’s the most important factor to consider after the price.
Customer service analytics is the process of collecting and analyzing data that is generated from your customer service team
With high-quality, relevant, and accurate data you will be able to detect errors early at a lower cost and save resources for other stages of the process development.
Data anonymization is the process of protecting private or sensitive information from data sets. During the process, personally identifiable information is removed from data sets.
Data scraping is a crucial part of data science that includes the extraction of publicly available information from a web page, application, database, reviews, tables or even audio source and importing it to your local storage.
Businesses that use visualization capabilities get an up to 130% ROI more compared to ones that do not use them
The use of knowledge graphs is a point of inquiry for more than 50% of companies who are looking for artificial intelligence solutions.
Funnel analysis is a powerful analytics tool that helps see and track conversions on every stage of a customer journey.
Businesses that use visualization capabilities get an up to 130% ROI more compared to ones that do not use them
With data warehousing, every business shifts its focus from manual processing of the data to strategic goals. Storing consistent, standardized and accessible information enables its seamless usage between different departments, and helps them make smarter metric-driven decisions.
With such a big amount of textual data being produced every minute, it might be challenging for a company to handle it relying on human resources only.
Contracts are the engine of any business. Inefficient contract management is the root of 70-75% of failing projects that may cost you up to 9% of annual revenue.
Keeping the customers coming back and engaging with your brand or platform, wanting more of your content or product is proven to be beneficial in many ways.
+46 70 733 36 34
info@redfield.ai
Fleminggatan 15A 112 26 Stockholm Sweden
