Consumer Audience Insight is made up of Apps, Location and Demographic Data. Global scale of Audience Insight is 800 million unique MAIDs (Mobile Advertising IDs). 65% US, 35% International. Specific country breakdown available upon request. Data is GDPR compliant. These 800 million unique users map to over 50 billion audiences across all categories.
Approximately 21M RTF documents (transcripts and letters) from a mixture of hospitals, clinics, specialties, and private practices. The data is exclusively from the US and some overseas US territories / holdings.
Can segment data by region, ambulatory vs. acute care, specialty, gender, and age.
Sections and subsections are inserted as needed to further structure the narrative (e.g., VITAL SIGNS, HISTORY, etc.).
The documents often contain lists to enumerate similar information (e.g., medications, problems, diagnoses).
Transaction data extracted from over 150,000 receipts gathered in the period between December and March 2018. The number of receipts is updated on daily basis and increases by several thousand per day. The data provides the ability to extract anonymised granular information from instore POS terminal issued receipts by the most popular Australian retailers and food chains. Researchers and marketers can use this data product to get accurate, real time insights for prices, revenue projection, product popularity etc. The stores are grouped in several categories: supermarkets (e.g. Woolworths), petrol (e.g. Caltex), Pharmacies (e.g. Chemist Warehouse), food chains (Mc Donald’s), etc.
The database contains user web activities directly extracted from leading Italian webpages which allows us to describe with high granularity user’s interests, market intentions and e-commerce spending on a daily basis. Please note that we are anonymously monitoring over 250000 unique users a week and we are able to stream this information daily or offer weekly or monthly aggregated figures. Since we rely on real person’s web navigation performed on both desktop and mobile, we are in a position of offering unique and top quality data.
The database contains actual prices of 8,700 fast moving consumer goods sold by 24 chain stores in more than 6 700 points of sale across France. There are more than 13, 500, 000 unique prices (price of every good may vary depending on point of sale, even within the same chain store). Prices are collected since the beginning of May 2017 from the retailer’s websites, but the process of building records is performed by humans, as only human can recognize the same product in different online shops.
This data product covers 600 million global monthly active mobile users on Andriod and iOS and devices. The data including 25% China users. This data is exclusively provided via the q Data Marketplace.
Anonymized data solution extracts comprehensive 360 degrees of Indian consumer behavior data in real-world which includes consumer eating preferences, shopping preferences, commercial places visited, time spent on a variety of financial, health and interest activities etc, - along with financial scores, transactions & location data.
Flag potentially harmful medication mistakes by identifying prescriptions that are outliers to the learned prescription patterns of physicians treating similar patients.
• Identify known adverse drug events (ADE) as they happen • Monitor physician’s response following the ADE • Follow patient outcome following the ADE • Build predictive models for patient risk of ADE per drug • Aggregate ADE data and provide daily/weekly/monthly reports • Reduce budgets d/t precise cohort sample size • Better study design (criteria, sub-populations etc.) • Identify undiagnosed patients who have a high statistical probability for a specific diagnosis • Map actual side effects/admissions related to ADE of drug A vs. drug B
The database contains actual prices for more than 70,000 new cars in Germany. Data stems from 1,200 car dealerships and the dataset includes data starting in 2014. Since we rely on original data of actual prices for real customers, we can provide unique and excellent data quality. The database is updated on a daily basis.
Reporting on Indian Health EcoSystem: Public Opinion, Healthcare, Well-Being and Lifestyle Reporting.
Learn about India’s diet, daily habits, health and lifestyle. We have built strong relationships and continuously updated daily reporting from over 200,000 people throughout India offering a unique snapshot of how the general population lives.
This data can be useful for food companies, health and lifestyle companies or medical and health organizations looking to learn more about how to support and assist real people of India. Additional information available upon request- full reporting and parameters currently collected is in depth and spread across all major Indian metropolitan areas.
Over 100,000 subscribers to an active and engaging online patient-facing health information platform, including granular and insightful information about patients medical situation including: Demographic information (age, gender, ethnicity, height, weight, BMI), geographic information (country/zip code), medical conditions (incl. co-morbidities), detailed status of conditions, past treatment/medications, current treatments/medications, and more.
Both raw data of stroke patient movements and aggregated data with applied machine learning algorithms for prediction of patient’s recovery are available.
The patient’s data is captured by sensors and analyzed based on big data of other patients and other disorders. Data collected: Time, distance, speed, step count, step length, step height, EMG, symetry, range of motion and more.
Analysis is built on the principles of Neural Plasticity and Motor Learning theories. We translating these principles into clinical practice promoting biological changes in the brain’s motor structures.
Our data analytics recommend the best practice for treatment and recovery.
Dealing with early detection of pressure injuries, bed sores. Optic probe takes measurements of various factors and patient levels of albumin. Patient background, medication, blood levels are also incorporated to predict pressure injuries.