Sandro Shubladze

At Datamam, we don’t just scrape data or build one-size-fits-all tools. We create end-to-end solutions that help executives make faster decisions, optimize operations, and uncover new opportunities without getting bogged down in technical complexities.

Our approach is simple: provide high-quality, enriched data that integrates seamlessly into existing systems. That way, companies can focus on strategy and innovation rather than cleaning, organizing, or worrying about compliance. Whether it’s tracking market trends, optimizing pricing, or improving automation, we make sure data works for you—not the other way around.

Franchise Site Selection

How Franchise Brands Use Location Data to Find White-Space Expansion Opportunities

Key Takeaways Franchise growth depends on identifying markets where customer demand, territory availability, operator economics, and competitive conditions align. Franchise

Business Location Data

How Business Location Data Supports Market Mapping and Territory Analysis

Key Takeaways Market mapping and territory planning depend on knowing where businesses are located, how they are categorized, which companies

Store Location Data

How Store Location Data Supports Retail Network and Competitor Mapping

Key Takeaways Retail network decisions depend on knowing where stores, competitors, branches, franchises, dealers, and local market anchors are actually

Foot Traffic Data

How Foot Traffic Data Improves Location and Competitive Analysis

Key Takeaways Location decisions become stronger when teams understand not only where businesses exist, but how people move around them.

Restaurant Site Selection

How Restaurants Use Competitor and POI Data to Choose New Locations

Key Takeaways Restaurant expansion decisions depend on more than population density, rent, or available storefronts. A strong restaurant location may

Retail Site Selection

How Retailers Use POI Data to Improve Site Selection and Expansion Planning

Key Takeaways Retail expansion decisions depend on knowing where customers, competitors, complementary businesses, traffic generators, and underserved markets exist. Retail

Location Data API

How Location Data APIs Deliver Real-Time Business and Place Information

Key Takeaways A Location Data API delivers place information when an enterprise system needs it. Instead of loading an entire

POI Data Matching

How POI Data Matching Resolves Duplicate and Conflicting Business Locations

Key Takeaways POI Data Matching determines whether two or more business location records describe the same real-world place. This sounds

POI Data Quality

How POI Data Quality Affects Mapping, Search, and Location Decisions

Key Takeaways POI Data Quality affects every system that depends on business location records. A map may show a location

Point of Interest Data

Point of Interest Data Services for Location Intelligence and Market Analysis

Point of Interest Data has become the location intelligence foundation behind market analysis, site planning, competitor mapping, territory design, and

Location Intelligence

Why Location Intelligence Depends on Reliable Place Data

Key Takeaways Location Intelligence depends on a basic but often underestimated condition: the places inside the system must be accurate.

Geospatial Analytics

How Geospatial Analytics Turns Location Data Into Market Decisions

Key Takeaways Geospatial Analytics turns location data into market decisions by connecting places, customers, competitors, territories, and demand patterns through

Site Selection

Why Site Selection Requires More Than Demographics

Key Takeaways Site Selection has traditionally relied on population, income, age, household composition, and traffic patterns. Those inputs still matter.

Trade Area Analysis

Why Trade Area Analysis Depends on Accurate Location Data

Key Takeaways Trade Area Analysis depends on accurate location data because trade areas are built from relationships between stores, competitors,

POI Database

What Makes a POI Database Reliable at Enterprise Scale?

Key Takeaways A POI Database becomes reliable when it can represent real-world places accurately enough for enterprise decisions. That sounds