Data Cleansing and Enrichment

Data cleansing is the most frustrating part of working with data. You have to deal with missing, inaccurate, irrelevant, incorrect and incomplete. The worst part is that you cannot skip this step. If your data has inconsistencies or errors, you can bet that your outcome will be flawed. Data analysts spend around 60%-80% cleaning data.

SkyDBI helps you clean and tidy up your data before any analysis. Data cleansing is like the foundation of the building. It is not only crucial for data analysis but also for business bookkeeping.

Benefits of data cleansing – 

• Staying organized
• Improving productivity
• Reducing unnecessary costs

How can you make your data powerful?

What would you do if you realized the data you have isn’t enough to give you the complete picture? The short answer is we can add more data. This process is called data enriching. It is the process of integrating third-party data with your existing database. Data enriching is generally done after data cleansing. Brands leverage this method to make enhanced decision making.

Algorithms that require many variables can also leverage data enrichment for better prediction. Before performing data enrichment, ensure your existing data is cleansed, normalized and standardized. SkyDBI lets you enrich your data to find granular information like past buying behaviour, customer demographics, etc.