A Comprehensive list of areas falling under HIDTA and HIFCA list in the United States. HIDTA/ HIFCA is the world’s most comprehensive and largest data asset based on High Intensity Drug Trafficking Areas and High Intensity Financial Crimes Areas located in the US. There are currently 33 HIDTAs, and HIDTA-designated counties are in 50 states, as well as in Puerto Rico, the U.S. Virgin Islands, and the District of Columbia. And there are currently 7 HIFCA regions that cover the United States, the US Virgin Islands, and Puerto Rico. As of August 2021, this data asset consolidates Data with all Counties along with State, Cities, Town and Zip codes/Area Codes. The notable point of this database is the inclusion of the risk rating score for all customers within high-risk geographies by a number of arbitrarily defined “points”. Thus, they could more easily exceed a defined risk rating point threshold and be deemed “high-risk. Users can access this data by directly contacting ZIGRAM via sending an email to siddharth.sabu@zigram.tech. Pricing available on request.  

·        Comprehensive event-based data asset of global Anti Money Laundering actions, penalties, imprisonments and other actions, along with the background to the event and the associated entities, organizations, regulators and individuals. ·        As of August 2021, it covers all countries, over 21 years of records constituting of over 8500 events, 300+ Bn Dollars in penalties, 13,000+ individuals and 2000+ organizations, collected by researching and monitoring via 11,000+ unique sources. Users can access this data via the AML Penalties web application (www.amlpenalties.com) to access, research and build context around events and details by adding country data, regulator data and regulations, global indices, and performance.        Users can access this data by directly contacting ZIGRAM via sending an email to siddharth.sabu@zigram.tech.        Pricing available on request.

       Sanctions Connect is the world’s most comprehensive and largest events-based sanctions data asset. As of August 2021, it covers all countries, over 10 years of records constituting of over 7000 events, collected by researching and monitoring via 11,000+ unique sources. It includes extra data points like Sports sanctions, Trade related sanctions, Terrorism related sanctions, and Vessels & Ports related sanctions other than the usual sanction parameters.        Users can access this data by directly contacting ZIGRAM via sending an email to siddharth.sabu@zigram.tech.        Pricing available on request.  

UnDelay’s technology, ? Deciphers and simplifies radio communication between pilots, ground operators and air traffic control to determine the cause of flight delays, converts it to text and distributes/alerts it in real time to all related airline and airport departments.  ? This enables robust response action from respective departments to fix the cause of the delay faster, saving airlines millions of dollars. ? Airline benefits, ? Reduces Flight delays Enables faster aircraft turnarounds. Improves ground efficiencies. Saves Money for Airlines & Airports   Airports benefits,   Help in navigate / reduce  congestion Alerts airports on problems related to aircraft delays Improves airport communication with ground operations   Travel companies benefits, ? Real Time flight delays Cause of the delays. Improves passenger flight choices.   Find out more on www.undelayapp.com!

The data include the following columns.product_namepriceshop_name# shop_total_sales# shop_reviewsitem_reviewscategorysub_categorygemstone_typemetal purity

Collection of articles from the category of Amusement and Theme Parks  including title, keywords and content

The OHLC data for the EUR/USD  hourly prices  from  02/27/2019  to 02/27/2020  ( for each trading day)

A complete list of Adobe employees, including: name (when available), job title, seniority, area, past jobs, education, location and many others (see sample). Ask about similar datasets for other companies.

A complete list of PayPal employees, including: name (when available), job title, seniority, area, past jobs, education, location and many others (see sample). Ask about similar datasets for other companies.

A complete list of Mastercard employees, including: name (when available), job title, seniority, area, past jobs, education, location and many others (see sample). Ask about similar datasets for other companies.

A complete list of Netflix employees, including: name (when available), job title, seniority, area, past jobs, education, location and many others (see sample). Ask about similar datasets for other companies.