Clean data at your fingertips
A look at dailypoint’s™ patent-pending data cleansing processes
Technology now allows us to collect vast amounts of data about travelers across all phases of their travel journey. When used smartly, this data is a valuable commodity. Yet most companies are not making use of this commodity. What is holding us back from harvesting the valuable data resource?
First, data is often stored in many different closed systems, making it extremely difficult to consolidate into one central source. Those that do manage to consolidate the data often simply dump it into a database or data warehouse. This, however, presents even the most skilled analysts with the next problem: the data is stored in different formats and qualities, often contains duplications, contradictions, inaccuracies, etc. With such poor quality, the output is often unusable. dailypoint™ is changing that.
What we learned from an analysis of hundreds of hotels
reduction of guest profiles through consolidation
profiles of loyal guests
had 2 profiles
had 3 profiles
had 4 or more profiles
analysis period: October 2018 | two hotel groups with 110 hotels in total | business and resort hotels | PMS: Opera MPE and Protel MPE | activated cleansing in PMS | 4 million guest profiles | 4.5 million stays
dailypoint collects data from all relevant data sources: your PMS, channel managers, emailing systems, website, and more. It pulls in this data and structures it all so that it can be processed and used.
Our patent-pending and fully automated cleaning method reviews all key data points, merges duplicates, corrects mistakes from human errors and ultimately creates a single profile for each one of your guests.
The clean data is then pushed back to your PMS and stored in dailypoint so that all data is up-to-date across sources. Hotels then have one single source of truth for all guest data.
The data proof
Using the 2-way integration between dailypoint™ and Protel MPE, dailypoint™ automatically cleaned more than 800.000 guest profiles, resulting in an 8.6% reduction of guest profiles.
Using the 2-way integration between dailypoint™ and Oracle Opera, the group automatically matched and merged more than 4,000,000 guest profiles, which resulted in a 9% reduction of redundant profiles.
dailypoint™ Data LaundryThe single source of truth
Address correction for 240 countries
Standardizes/corrects spelling to corporate default
Searches for faulty data
Reviews a guest’s prefix and gender & creates a dynamic salutation
Adds a household and family-id
Appends data (geo, customer segments…)
Has phonetic matching algorithms to detect typos
De-duplicates and merges profiles
Bi-directional data push (2-way push with your PMS)
Two-way interfaces with…
…and many more
Ready to make use of your data?
See how it all works in a free demo.