Data disambiguation or data processing is the method of collecting data and converting data into meaningful information.
Being a “data-driven business” is not a buzzword companies use to seem future ready. It is the only way organizations can ensure they have a deeper understanding of their customers, their target markets and a competitive edge over their competitors.
But is collecting data enough? What use would all the collected data have if it does not work for you and on your terms?
Data processing may involve various steps, right from collecting the required data, validating and cleaning it to ensure what remains is qualitative to analysing the data – which is all about making the data more meaningful for your business.
At Menerva we provide the full range of data processing solutions, tailor-made for your needs. We make sure your data processing infrastructure is both reliable, scalable and intuitive.
We can help you with
Implementation Tools & Technologies
- Apache Spark (with Python or Scala)
- AWS S3, HDFS, SQL and NoSQL
- Quantitative analysis
- Deterministic and machine learning algorithm