Build Your Own Model
of the World
Zdaly is the largest pre-curated collection of public and world data in a single database and taxonomy, spanning 3.3 billion trends, 1900 sectors and 190 countries.
Search, filter and run thousands of multi-dimensional statistical models on-the-fly across data sets using 25-year moving averages.
Build Your Own Model of the World
Zdaly is the largest curated collection of public and world data in a single database, spanning 3.3 billion trends, 1900 sectors and 190 countries.
Search, filter and run thousands of multi-dimensional statistical models across data sets with 25-year moving averages.
Augmented Intelligence Platform
Understand how outside factors impact your business using the synergy of internal and external data.
Upload and enrich unstructured internal data with Zdaly WorldData to build tailored Augmented Intelligence apps and dashboards for predictive, actionable intelligence centered around your use-case.
See how local, regional and world data – from demographics to macroeconomics or commodities – affect sales, marketing campaigns, operations, supply chain, project performance and more.
Competitive & Market Intelligence
The Semantic Graph for Qualitative Intelligence
Zdaly’s Competitive & Market Intelligence (CMI) solution analyzes millions of sources giving you a 360-degree, relationship view of customers, competitors, suppliers, deals, industry hires and everything else that impacts your business.
Unlike others, Zdaly CMI employs neural networks and Semantic Graphs to help you visualize the sequence and flow of events and drill down quickly to prepare insights for discussion and executive briefings.
Retail Fuel Network Optimizer
Discover how external factors impact customer behavior
Zdaly’s Retail Fuel Network Optimizer helps retail fuel companies optimize strategies with data science backed decisions to improve retail capex, maximize yield and increase portfolio performance. Amalgamate our external factors (macro trends, demographics, weather, traffic) with store features and transactional data to generate predictive insights and deep intelligence about:
Location planning and analysis
Intra-day price elasticity
Forecourt to store performance
Impact of hyperlocal factors
True customer segmentation
Competitor routes and density
Automated cost center mapping for benchmarking
Zdaly CostMap is a deep learning algorithm that automates cost center mapping for banking and financial services benchmarking. It eliminates the manual, intuition-based process for mapping raw cost center data from multiple companies to a unified benchmarking taxonomy.
CostMap learns from historical cost center hierarchies, then generates and maps new codes to the unified taxonomy, reducing efforts by up to 65%.