Data optimisation is a cleaning process designed to improve the quality of your data by adding in missing fields and removing errors & inconsistencies. This involves conducting data quality assessments with a wide range of datasets to enrich and suppress your existing database.
Why is data optimisation important?
Data optimisation is a key component for businesses and helps maximise efficiency, make informed decisions in line with business goals and comply with GDPR.
By optimising your data, you’ll benefit from a streamlined process that merges and/or removes duplicates automatically, saving endless hours that can be spent on other tasks. A streamlined, automated process, also eliminates human error, which will increase your analysis and reporting accuracy.
You’ll also make more informed decisions that will better shape your business for success; whether it’s understanding your active customers for yearly revenue projections or gaining a greater understanding of your target demographic using geographic data.
Geographic data involves adding postal data to an existing customer address dataset to further analytics and business intelligence, allowing you to understand true demand, conduct market research, perform targeted marketing campaigns, and undergo in-depth business planning.
Adding SIC codes to this data will allow you to classify your clients and prospects, identify key markets and gain insights into what services to deliver.