As an application of blockchain technology, crowdsales are generally unregulated, allowing investments to reach startups faster and without fees. Additionally, although investors may hold onto their coins or tokens to receive dividends as if they enjoyed shares in the company, they do not have enjoy the same control over company management. Startups then enjoy a level of managerial freedom that companies previously did not have.
Finally, in addition to providing much-needed capital to startups, crowdsales provide crucial measures of the level of interest in a new project.
Since most cryptocurrencies are not yet regulated by a central authority, crypto owners cannot store their currencies in traditional bank accounts. Thus, cryptocurrency wallets (or crypto wallets) were developed.
These wallets generally come in the form of either software or hardware—also called hot or cold wallets. Hot wallets connect to the internet and allow the owner to both receive and send crypto tokens. Cold wallets, on the other hand, do not connect to the internet. For this reason, hot wallets have more security features than cold wallets.
Banks, credit unions, credit card companies, insurance companies, stock brokerages, investment funds, and more must report their activities to government regulatory agencies. Following financial crises in the late 2000s, regulatory compliance has become stricter and more onerous on financial services companies like those listed above.
From the stricter need for reporting and the massive amounts of data generated by financial institutions, the regtech industry has sprung up, combining regulatory reporting and big data technology.
DataWeave provides retail intelligence and brand analytics. They handle product assortment, monitor minimum advertised price, & much more
Peekd is a data provider from Germany. They provide clients with data analytics that improve online sales performance.
IRI Data Cloud turns huge data sets into a useful information in a single technology platform on any device.
Rakuten Intelligence provides trusted customer data and insights to help companies in a range of industries better understand e-commerce.
Premise is a data provider from the United States that provides data collection, quality assurance, and data analysis services to businesses.
Premise data and analytics technology company helps users make informed decisions with real-time, actionable information. Specifically, they assess evolving global dynamics for businesses, governments, international development organizations. In short, Premise applies machine learning and human intelligence to market, geospatial, and sentiment data, improving the accuracy of existing econometric indices with high-frequency data.
Aggregated Data allows you to see what stocks all traders are buying, selling, and holding in their portfolios. Screen results by timeframe, assets under management, and more.
Granular Data allows you to see individual trader activity and their real portfolios on our iOS app when you share yours, too.
Profitable Subset allows you see a subset of all aggregated data based on trader performance with an upgraded account.
Edge by Ascential Price + Promo dataset provides dynamic, personalized collection of your company's and your competitor's pricing and promotional data. With Price + Promo, you can measure your prices against your competitor's every day, week, or month. You can make sure retailers comply with promotions and monitor the impact that promotions have. Edge by Ascential's Price + Promo also offers a Chrome extension called Onsite 2 which enables you to instantly compare your prices to your competitor's in real time. Edge by Ascential's Price + Promo also offers a Chrome extension called Onsite 2 which enables you to instantly compare your prices to your competitor's in real time.
Edge by Ascential Digital Shelf offers a dynamic, personalized collection of product data across stores in various regions across retailers. Users can identify under-performing or frequently out of stock products, collect competitor data, and track that retailers are honoring price and promotion agreements.
Edge by Ascential Market Share offers a dynamic, personalized collection of your sales and traffic data on Amazon. You can track your sales, conversion, traffic, and shelf data over time, down to the individual items with the Amazon Standard Identification Number (ASIN). Edge by Ascential's Market Share also enables you to compare your progress with other companies.
Included as part of a software service, Edge by Ascential's Retail Insight tracks retail data on thousands of retailers in nearly 200 markets to help you analyze your competition, measure your customers' engagement, track market trends, and predict product performance.
Competitor analysis is the process of understanding your competition in order to succeed in the marketplace. With a proper competitor analysis model, you can benchmark your progress against more established competitors, identify your target market, and even anticipate new products or services from your competition.
Portfolio management is the management of investments to meet long-term financial objectives.
Today, machine learning models and external data are used in order to help companies and individuals better manage, diversify, and maintain their assets and take on less risk for higher reward.
Today, machine learning models and external data are used in order to help companies and individuals better manage, diversify, and maintain their assets and take on less risk for higher reward. Portfolio management models and use cases include any collection of investment instruments like shares, mutual funds, bonds, FDs and other cash equivalents, etc.
Product performance forecasting predicts future sales volumes—at what price, during which time, and in which market. It enables businesses to make informed decisions in both the short term and the long term. Nowadays, companies rely on machine learning software for product performance forecasting as these programs continuously improve, providing businesses with faster and more reliable estimates all the time.
Promotional planning is the process of optimizing marketing tools, strategies, and resources to promote a product or service to generate demand and meet set objectives. Artificial intelligence (AI) can be used to effectively plan promotional events, measuring their outcomes, and adjusting as necessary to achieve growth.
Retail AR refers to the use of augmented reality (AR) and even virtual reality (VR) to improve retail sales. With this technology, customers can do things like try on clothes without undressing or visit stores while in quarantine. Aside from the attraction of trying the newest technology, AR and VR can meet customers wherever they are.
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