Unstructured Data Solutions

Unstructured Data refers to information that doesn't follow a predefined format or organised structure, making it more challenging to analyse and process.  Unlike neatly arranged data found in spreadsheets or databases, unstructured data lacks clear categories or labels. 

It includes things like text from emails, social media posts, audio recordings, images, videos, and documents.  Because of its free-flowing nature, extracting valuable insights from unstructured data requires advanced technologies, like artificial intelligence and natural language processing, to understand and interpret the content effectively.

Dealing with unstructured data presents difficulties.  This info lacks organisation, complicating analysis.  Furthermore, it's often in non-relational databases, posing querying challenges.  Key issues include:

1. Security complexity:  Unstructured data's dispersion across formats and locations makes securing it intricate.

2. Indexing challenges:  Due to its randomness, indexing is tough and error-prone.

3. Data scientist dependence:  Interpreting unstructured data often demands skilled data scientists.

4. Costly analytics tools:  Parsing such data requires advanced, expensive analytics software, not always budget-friendly.

5. Format diversity:  Unstructured data's lack of format hampers its raw use.

A lot of data, essential for tackling complex issues, can't be stored in databases, such as customer buying patterns when mapped to social media feeds, another example is CCTV, you need to refer to it at a later date, but can’t store video files in a database - these are both forms of Unstructured Data. 

Did you know 80% of data growth in an organisation is unstructured data?

This is where boxxe comes in.  We can help by working with key technology partners such as Dell, Quantum and Hitachi Vantara who work closely with our ISV partners Libnova, Achivematica, Preservica and Atempo.  boxxe can make sense of messy data from places like social media, emails, and images, by extracting important information from text and sorting the data into useful categories.  Data enrichment is the key, adding meaningful metadata turns data into searchable, contextual information that is the foundation for a business' insights which lead to better decisions and improved operations and customer experience.

We can provide solutions for the complete journey.  Understanding with our audit and assessment tools, we can produce strategy and roadmap reports, we can store and manage the data with multiple vendor solutions Dell, Quantum and Hitachi.

Contact the Infrastructure Team via the form below to learn how boxxe can help by collaborating with tech partners to decipher unstructured data from sources.  Extracting insights enables enhanced business decisions and better customer experiences.