# Data Services: Demographic and Spatial Data > Accurate and reliable spatial data services for your business needs. Improve your data quality and analysis power with Next Geo. *Source: https://nextgeography.com/en/solutions/data-services/ · Language: en · Updated: 2025-10-21T05:52:58+00:00* *Site index for agents: https://nextgeography.com/llms.txt* A very close pale grey street map; large pink dots, many of them sitting on top of one another. SOLUTION · DATA SERVICES DATA OPERATIONS Matching, enrichment, deduplication, verification. All four can be counted one by one in the ledger below, and the Data Services card on /en/solutions/ lists the same four. ## Is your address data ready for analysis? The question is not ours: /en/solutions/ introduces this solution with the line “Is my address data ready for analysis?”. This page answers it. Next Geo’s Data Services is a suite of specialized solutions designed to make your location-based data management more accurate, meaningful, and usable. Whether it’s customer lists, branch addresses, or field records — turn your data into a powerful part of your digital strategies with these services. 3INPUT TYPES 3STEPS 2SAMPLE OUTPUTS All three numbers can be counted from this page: three input types (customer lists, branch addresses, field records), a three-step start, and two sample outputs — the ledger and the batch summary. FOUR DATA OPERATIONS · ON ONE ROW ### Four operations, two jobs. Two of them add what your list never had; two of them take out what it already had wrong. The ledger shows all four against the same sample address row: what the operation does on the left, what changed on that row on the right. OPERATIONS LEDGER Sample row · Kadıköy, İstanbul SAMPLE Next Geo answers the question at the top of this page in three words: make the data more accurate, meaningful, and usable. The four data operations divide between those three words. INCOMING ROW Moda Cad. No:12/A Kadıköy/İSTthe same row appears twice in the list, category empty #### Meaningful: adds what the list does not have Matching and enrichment bring in what your list never had: a link to points in the same category, and the surrounding data layers. Matching NEXT GEO DATA LIBRARY Your company’s point lists are matched with points in the same category (e.g., stores, pharmacies, gas stations, etc.) in Next Geo’s comprehensive data library. Thus, a connection is established between data sets, forming a basis for advanced analyses such as competitive analysis or segmentation. ON THE SAMPLE ROW Category match Store Same-category points nearby Enrichment NEXT GEO DATA LAYERS Your company’s locations are enriched with Next Geo data layers such as demographic structure, income level, pedestrian traffic, and environmental amenities. Thus, the environmental potential and contextual features of each location are understood in more detail. ON THE SAMPLE ROW Demographic structure 10 min drive · 84,300 people Income level Upper-middle Pedestrian traffic High Environmental amenities Metro, parking, mall #### Accurate: removes what the list gets wrong Deduplication and verification take out what your list already had wrong: repeated records, and missing or ambiguous addresses. Deduplication SMART FILTERING ALGORITHMS Duplicate addresses or point repetitions in databases are detected and cleaned with location-based smart filtering algorithms. It increases data quality before analysis and guarantees the accuracy of the results. ON THE SAMPLE ROW Unique record 1 (2 rows merged) Verification MAP DATA · ADDRESS STANDARDS · FIELD The accuracy of your company’s locations is verified by checking with map data, address standards, and field controls. Missing, incorrect, or ambiguous records are corrected; operational disruptions are minimized. ON THE SAMPLE ROW Address verification Verified Coordinate 40.9878, 29.0270 Usable. With both done, the list can go into an analysis — it can be brought to the map. The two groups are a reading order, not two packages: all four work on the same list. The four data layers in the right-hand column are the four the Enrichment row names, and 84,300 is the same figure as the ten-minute drive band on the home page. BATCH SUMMARY Sample list · 1,240 rows SAMPLE The ledger above follows a single row. This is what the same four operations look like at the end of a batch of a thousand. INCOMING LIST Rows received 1,240 Duplicate records, merged Unique points 1,144 RESULT Verified and geocoded 1,107 Sent to manual review Points with a category match 1,107 Data layers added per point 1,107 + 37 = 1,144 unique points; 1,144 + 96 duplicates = the 1,240 rows received. Rows in manual review are not a failure but an output of verification: they are the “missing, incorrect, or ambiguous records”, and they are corrected. MATCH CONFIDENCE · MANUAL REVIEW #### When can you trust a match? Matching ties untidy address strings to a standard address and a coordinate, and every row comes back carrying its own confidence score. A row whose score stays low is not forced: it is left ambiguous, with more than one candidate match, and sent to manual review. That is what the 37 rows in the batch summary above are. Four rows of incoming address, matched address and confidence: 96%, 94% and 81% carry filled pink bars, while the last reaches only 31%, ambiguous across 14 candidate matches. Matching — untidy address rows, matched points The figures in the two documents above are illustrative; real output is produced from your own list, with the field names and data layers of the four operations above. HOW WE START ### From your list to analysis-ready data. Three steps. The input is your list and the output is your list; the four data operations sit in between. Records on a map of Istanbul in two colours: those standing close to another in pink, isolated ones in lilac, the pink ones clustering on the historic peninsula and Beyoğlu. The records of a single category, in two colours by how close they stand. #### The list arrives as it stands Customer lists, branch addresses or field records — in whatever shape you keep them. The one thing settled at this step is category: matching runs against points in the same category, so which category your points belong to is established up front. Customer list Branch address Field record Category #### The four operations run Records are matched with same-category points in Next Geo’s data library and enriched with its data layers; duplicate rows are detected and cleaned; addresses are verified against map data, address standards and field controls. Matching Enrichment Deduplication Verification #### The list comes back analysis-ready The output is what /en/solutions/ publishes for this solution: matched, enriched, deduplicated and verified address data. That is precisely the input Location and Area Selection, Forecasting and Segmentation work from. Unique record Verified address Coordinate Data layer If your records are plain address strings and a coordinate has to be produced for each one, that work belongs to Next Geo’s Address Solutions product; matching, enrichment, deduplication and verification are the titles of the solution on this page. WHO IT IS FOR #### The more accurate the data, the clearer the decisions. Bring your data to the map with Next Geo Data Services, strengthen your strategy. This solution is built for four kinds of team: the ones that keep a location-based list and then decide with it. 01 Retail and field sales teams 02 Brands managing customer databases 03 Companies engaged in logistics, delivery, and branch planning 04 Data analysis and marketing-focused digital transformation teams NEXT STEP #### Let’s get your list ready for analysis. How many records you hold, what shape they are in, and which of the four operations they need — let’s work it out together. Next Geo · Maslak, İstanbul · +90 (212) 276 22 33