Conway Analytics

The dataset represents the corporate technology, database, operational, advisory and archival data environment of conwayanalytics.com and associated Conway Analytics, Conway Advisory, ICA Legacy and Site Selection Magazine operations. The available dataset contains approximately 78,077 file/path entries across the two provided parts. Around 75,685 entries are outside clearly encrypted backup structures, while approximately 2,392 entries belong to encrypted or obfuscated backup directories that require appropriate access credentials or decryption. The available dataset is organized around Conway Analytics’ database backups, cloud billing records, AWS deployment packages, research application environments, AI / machine-learning models, article-processing data, advisory and consulting project archives, legacy corporate archives, Site Selection Magazine backups, production materials, event archives and internal migration materials. The dataset includes SQL and application database backups, including ConwayAnalytics, CommonSpot site backups, CommonSpot user backups, client-variable databases, production-related database exports and large volumes of database log files. A major portion of the data relates to historical and operational application databases. The dataset contains production, QA and development environments for conwayanalytics.com, research.conwayanalytics.com, research-qa.conwayanalytics.com and research-dev.conwayanalytics.com, including application pages, account pages, reset-password pages, admin pages, static assets, JavaScript, CSS, templates, vendor libraries, sync scripts, Git metadata and web application resources. The cloud and infrastructure layer includes AWS billing CSV files, detailed billing line-item exports, cost-allocation files and resource/tag billing exports covering the period from 2017 to 2026. These files contain cloud usage, service costs, resource allocation, billing history and infrastructure cost-tracking information. The deployment layer includes AWS Lambda packages, Chalice deployments, serverless deployment files and production, QA or development packages for article extraction, classifiers, NLP processing and automated research workflows. The dataset also contains Python runtime backup packages, deployment templates, API fixes, backend service packages and multiple production, QA and development deployment archives. The AI and machine-learning layer includes NER models, binary and multi-label classifiers, lead-type models, project-type models, sector models, joblib and pickle model files, PyTorch model fragments, model manifests and training/sample datasets. These materials are connected to article classification, lead detection, project classification, sector tagging, NLP processing and automated research workflows. The research-content layer includes article archives, NLP text outputs, public sample articles, production research article datasets, compressed article exports, NAICS-related assets and DynamoDB export data. These files contain processed article content, extracted research materials, NLP outputs and data used by the Conway Analytics research pipeline. The advisory and project-delivery data covers a wide range of clients, institutions and regional engagements, including investment promotion, economic development, free-zone advisory, location selection, foreign direct investment, sector analysis, marketing strategy, lead generation, customer journey mapping, business attraction and public-private advisory work. The data includes projects and proposal materials connected to North America, Europe, Asia, Latin America, the Middle East and Africa. The dataset includes client and project materials for entities and engagements such as Jordan Implementation, Coast Packing Company, Sturgeon County FDI, Fort Saskatchewan, Thor Industries, Waterloo Townships, Helsinki Business Hub, CRRC / NAI Hunneman, Qatar Financial Centre Authority, Qatar Freezone Authority, Colombian Free