​​​Automating work with data

On average, companies use just 12% of their data. Most data are unstructured and dispersed over a large number of systems with no ability to work together. This makes it easy to users to lose track of their data.

Advanced analytical and search tools together with RPA are breaking down barriers between systems

These technologies get data directly from systems and databases using API even straight from user interfaces on the desktop. They also operate and mine data where the only source of data is a website.

Analytical tools can analyze data based on timeline, deviations, trends and many other parameters. They also understand natural language and human communication style (Natural Language Processing). They adapt and learn from user interactions and analysis results (Machine Learning).

Analyzing specific documents

We can analyze emails, messages, electronic documents and scans of hard-copy and hand-written documents.

The tools we use can process words, sentences and whole paragraphs. We can also categorize individual keywords and cases based on content. This lets us determine which automatic process to apply to the data.

Applications

• in systems for managing documents, requests, queries, orders
• automated and autonomous searching
• identification and classification of big data
• automated machine processing
• information presented in plain language
• preparing output, answers, reports