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Data Enrichment

Enhance business analysis and targeted marketing.

What is data enrichment and why is it useful?

All businesses have individual data needs in order to engage with their clients and stakeholders.

Enriching your data by adding additional or missing information can support your business in its engagement and reach, whilst increasing the variety of data analysis options.

Hopewiser has always been data agnostic, using data from a variety of sources depending on the needs of the client and which brings the best return on investment.

Enriched, cleansed data provides many benefits. Not only enabling better more informed engagements, but also targeted marketing campaigns, profiling, insights and relationship building. Accurate analytics enables a business to make informed, cost effective decisions and reach clients in ways they were unable to previously.

What are the ways Hopewiser can help with Data Enrichment?

Hopewiser hold a variety of datasets that can be used at the point of contact, so as an address is verified, then further information can be captured immediately, such as standard reference numbers, grid references, SIC codes, building type, allowing for business decisions and internal checks to find duplicates/link data together.

For example geographic data enrichment can involve adding postal data or latitude and longitude to an existing dataset that includes customer addresses, thereby enabling location analytics and intelligence. Adding this kind of insight into your data is useful for a number of reasons, such as; targetted marketing campaigns that are right in context and region; business planning, for research and demand e.g., it can be used to site plan for a new store and business forecasting which will enable a business to plan for future supply.

Multiple Residence data which contains over 800,000 additional premises, including self-contained flats, sub-divided houses, halls of residence, and nursing homes can help prevent fraud, ensure your message gets to the right person and reduces failed deliveries and complaints.

Adding SIC codes to organisation data, allows for a range of potentials, from classifying your clients and prospects, identifying key markets, insights into what services to deliver and even what rubbish requirements the organisation has, plus much more.

Alongside this, then these datasets can be used through either bureau or software to keep the information up to date or fill in missing information, given data is always changing. This allows for data analysis to be done across the whole dataset or multiple datasets to analyse everything. This can be useful when moving databases and merging data.

Hopewiser has always been data agnostic. We work with our clients to understand their data needs and identify specific data sets that will provide the enrichment required.

We are happy to discuss the problems and help identify the right solution for you.

DATASETS AVAILABLE

The following datasets are a selection of what is also available. Please CONTACT US for the full list.

International

International datasets for many countries, including Germany, Switzerland, Netherlands, USA, Australia and New Zealand.

Ordnance Survey

Ordnance Survey

Ordnance Survey data available including AddressBase Premium.

PAF

PAF

Access to 1.8 million UK postcodes and 30 million residential and business addresses including Multiple Residence.

ONS

Office of National Statistics (ONS)

National Statistics Postcode Directory (NSPD) dataset with extra data such as Grid References.

Reliability

Companies House

Company information from Companies House, including registered office address, filing history, accounts and annual return.

Case Study

Insurance

Data cleansing and enrichment for a major Insurance firm

In December 2020, address information from the Client’s 3 million plus insurance policies was run through Hopewiser’s automated bulk data cleansing service.

The bulk data cleansing process reads a database of existing addresses and cross-matches them against the Royal Mail’s Postcode Address File (PAF) ensuring optimum accuracy. Using Ordnance Survey data in addition to PAF, enabled Hopewiser to append UPRN.

Where incorrect or missing postcodes were discovered, Hopewiser corrected and appended these to ensure premium data quality.