EcoSteer’s Data Ownership Platform provides data sharing governance for data owners to limit access to their data. This platform allows data owners to grant & revoke data access to data users at any time which automates the GDPR consent management. The Data Ownership platform is a retrofit solution because it does not interact with the technical data source or the data distribution platform but it can work with existing sensors, meters, smart phones, car telematics or any other data distribution platform. This platform gives power back to the data owner.
A store’s location directly impacts supply, profits, marketing, and almost every other aspect of store performance. Much can be learned from the performance of different types of retail stores in different neighborhoods, countries, or even climate areas. Therefore, retailers use geospatial data machine learning models to plan store locations and predict profits.
Hedge fund investments use several different strategies to achieve returns in both domestic and international markets. They are often aggressively managed and trade in land, real estate, stocks, derivatives, currencies, etc. markets.
The most lucrative hedge funds also have a diverse portfolio—which means investors need to analyze large amounts of data to make investment decisions.
Property value and mortgage value assessment is the estimation of the future value of a particular asset for purchase, insurance, and more.
Unlike most other purchases, real estate tends to rise in value over time. This rise is influenced by economic and social trends, environmental conditions, and on governmental controls and regulations. These large-scale trends directly affect the general demand for property ownership, the scarcity of property for purchase, the utility of the property for potential owners, and the ease at which property rights can be transferred.
OikoLab Weather’s dataset – ‘OikoLab Weather: Global Climate Time-Series Data (1950 – Present, Delivered Hourly)’ provides Climate and Weather Data that can be used in AI Financial Planning Program and
Quantcast Choice allows publishers and others to collect data and manage vendors while remain privacy-compliant. They work with GDPR, CCPA, and TCF v2.0 regulations.
Outlogic’s dataset – ‘Outlogic’s Global Audiences Product (1M+ POIs, 50M+ Global Monthly Active Users)’ provides Location Data, Sports & Entertainment Data, , Online/Mobile Data and Consumer Lifestyle Data that can be used in and Targeted Marketing
CUFTanalytics’s dataset – ‘CUFTanalytics’ Corporate Loan Transactions sourced from US SEC filings w/+50 data fields; 1Q2021 w/ 339 records, in 187 agreements’ provides Business Credit Rating Data and Economic Data that can be used in and Portfolio Management
CUFTanalytics’s dataset – ‘CUFTanalytics’ Custom Search Request of Corporate Credit Agreements sourced from US SEC filings (2009 – Present); w/+14,000 records’ provides , Economic Data and Business Credit Rating Data that can be used in and Portfolio Management
EcoSteer’s Data Ownership Platform provides data sharing governance for data owners to limit access to their data. This platform allows data owners to grant & revoke data access to data users at any time which automates the GDPR consent management. The Data Ownership platform is a retrofit solution because it does not interact with the technical data source or the data distribution platform but it can work with existing sensors, meters, smart phones, car telematics or any other data distribution platform. This platform gives power back to the data owner.
A store’s location directly impacts supply, profits, marketing, and almost every other aspect of store performance. Much can be learned from the performance of different types of retail stores in different neighborhoods, countries, or even climate areas. Therefore, retailers use geospatial data machine learning models to plan store locations and predict profits.
Hedge fund investments use several different strategies to achieve returns in both domestic and international markets. They are often aggressively managed and trade in land, real estate, stocks, derivatives, currencies, etc. markets.
The most lucrative hedge funds also have a diverse portfolio—which means investors need to analyze large amounts of data to make investment decisions.
Price optimization is the mathematical analysis by a company determines the response of potential buyers to different prices for its products and services. The aim is to meet a company’s objectives of maximizing profits and growing and retaining a customer base.
Property value and mortgage value assessment is the estimation of the future value of a particular asset for purchase, insurance, and more.
Unlike most other purchases, real estate tends to rise in value over time. This rise is influenced by economic and social trends, environmental conditions, and on governmental controls and regulations. These large-scale trends directly affect the general demand for property ownership, the scarcity of property for purchase, the utility of the property for potential owners, and the ease at which property rights can be transferred.
Apartment rental prices are influenced by various factors. The aim of a house or apartment rent prediction model is to analyze the different features of an apartment and its surroundings to generate the most suitable price for rent.
Organizations must satisfy the unique demands of their customers. The good old days of mass marketing and predictions on limited mixture of products in one location are gone. Conversely, the use of artificial intelligence in inventory generates huge dividends to companies willing to reshape their supply chain orders.
This technological development results from the availability of massive amounts of real-time data now routinely generated by enterprise software systems and smart products. By collecting this data, organizing it, and interpreting it, artificial intelligence and machine learning have introduced an entirely new level of data processing leading to deeper business insights.
Algorithmic stock trading—aka “algo-trading”—uses machine learning algorithms to make stock market trades faster than a human could, calculating the best time, price, and amount to trade in an instant.
Exante Global Flow Analytics supports alpha generation and risk management by extracting comprehensive price signals from detailed capital flow analysis. Exante complements hard data and raw model outputs with timely, narrative-based content, focusing on key global thematics and risk scenarios. Additionally, Exante maintains dialogues with their clients, providing bespoke coverage and service.
Stirista offers data that politicians and advisors can use to reach out to constituents and donors. Stirista has (so far) 150 million registered voter details sorted into 360 data points, including donation history. With this contact, demographic, web, and behavioral information, Stirista Political Data enables targeted advertising and outreach.
Stirista can also provide historical campaign data at all levels to help politicians plan effective political strategies.
Acxiom Infobase provides customer insight data for targeted marketing campaigns in a wide variety of industries
Acxiom Personix offers people and customer lifetime value data as well as consumer behavior profiles
AnalyticsIQ’s BusinessCore Database provides B2B marketing data on 18 millions businesses and 60 million business professionals.
The BusinessCore Database collects company data and people data. The company data includes contact information, purchase drivers (price, for example), and transaction history. The people data includes personnel contact data, role in the company, and purchase transaction history.