April 21, 2016 at 15:15Source of free startup ideas
The world's largest transport company, Uber, does not own cars, the popular social network FB does not generate content, and there are no inventory items on the balance of the world's richest retailer Alibaba. The founders of the startups that initiated these businesses are neither smarter nor richer than others, but they turned out to be more effective, knowing that to generate new ideas it is not necessary to be a genius, but it is necessary to be able to analyze all the data the company has.
In the coming years, the development strategy of the entire IT industry will be determined by Digital Transformation: mobility, clouds, Big Data, the Internet of Things and predictive analytics can provide companies with competitive advantages and significantly reduce the price of introducing new products and services to the market. Most company executives agree that the delay in adapting the business to work in the digital age of death is similar, however, as noted in the article , in order to avoid the collapse of the company in the new environment, it is necessary to change the IT infrastructure, protect digital assets, adapt employees to work in the digital era and finally, to effectively use all available data.
Digital transformation no longer just requires data storage for subsequent unhurried analysis, but their processing in real time. By 2020, thanks to only the Internet of Things, the volume of stored data will increase by 6-7 times, however, the effectiveness of their use will depend on how enterprises are transformed into data-driven enterprises. The creators of Uber, FB, and Avito realized this earlier than others, recognizing in time that analyzing combinations of various information brings value, collecting, understanding, and analyzing them by establishing hidden connections using the Empower the Data-Driven Organization approach - providing organizations with new analysis-based capabilities data.
All these companies use the HPE Big Data Platform, which with good reason can be called a data monetization platform. It is based on two products integrated between each other: HPE Vertica - work with structured data (SQL), support for Python, the R language, as well as all ETL tools from leading market players and IDOL- processing of unstructured data, allowing customers and partners to quickly build composite analytical applications from unified blocks to solve a specific business problem. When working with this platform, companies do not need special expertise in working with data - their time is spent searching for new ideas. Today, there are more and more startups that build their business on data only, but Data Driven technologies appear in traditional companies, which are able to offer new products and services due to analytics.
The well-known Russian telecom operator uses raw data analysis from base stations to segment subscribers by age, the presence of a specific smartphone model and traveling by car or public transport from 9 a.m. to 10 a.m.
The monetization platform allows the route of these people to display targeted advertising on billboards, focused specifically on a specific group of customers. It is clear that this significantly increases the effectiveness of campaigns to promote goods and services, in fact, opening a new page in the B2B and B2C market.
The largest retail companies, using the monetization platform, analyze data from 3D cameras, evaluating the flows of customers to identify their requests and determine the “hot” zones in the trading floor. As a result, the order of the goods in the hall is changed, the cashier’s operating mode is adjusted, discounts are generated in real time, and if at some point the number of children in the store increases, either the goods corresponding to the monitors are displayed on the monitors or on monitors this age group. In addition, as a result of recognition of the emotional state of buyers, they may be invited to participate in various promotions.
Collecting sensor readings from cars, insurance companies evaluate their client’s driving style, and then offer him discounts on insurance policies or referrals to extreme driving courses.
E-commerce companies and marketplaces, such as Avito, can use Vertica to filter the content of ads, eliminate duplication, and comply with regulatory requirements.
The list of examples of specific data monetization based on Operational Analytics (Vertica) and Service Manager Smart Analytics (IDOL) systems can be continued, but it is clear that traditional analytics is unlikely to find similar business solutions, offering users only “archaeological” information, usually little impact on the operational conduct of business. It can take the analyst all the day to search for the necessary information on all corporate information systems, while Vertica and IDOL can become tools for finding new ideas in real time, helping to find valuable data and immediately automatically generate, for example, a presentation to company management.
What exactly does a startup, who usually knows everything about his client, need to monetize this knowledge in real time? A simple tool for testing hypotheses and generating ideas is required, which does not require large resources for development and implementation. Today, any startup can get a fully functional Vertica configuration for free, and the free, for beginner businessmen, IDOL On Demand version from the cloud will allow you to analyze media with support for the Russian language and full-featured search tools . Today, more than 50 Russian companies and over a dozen corporations use the HPE Big Data Platform analytical tools to monetize available data, both their own and from external sources.
Any business today is customer-oriented, which means that you can get a client only by making an offer that is difficult to refuse, for example, by offering a lower price, or by guaranteeing the return of a product or service, and for this you need to learn how to work effectively with raw data, understand their meaning, to know everything about the client. What is needed is not analytics received by mail once a month, but constant real-time analytics (“ad hoc”), enriched with retrospective information and allowing non-specialists in IT to make decisions based on data.
How do organizations manage their data and account for data from external sources? How not to lose the necessary information? How to keep a client by collecting all the public information about him? How not to miss the moment of launching a new product or service on the market? How to know when to and when not to offer specific services to a specific client? How to increase customer loyalty? Answers to these and similar questions are provided by the data monetization platform.
Digital transformation is changing business - even in Russia, 3% of GDP today is brought by the digital economy, in other words 2.2 trillion rubles. not hydrocarbons are given to the budget, but data. Is it time for all domestic enterprises to think about this? Business management based on outdated data can continue to be considered the norm, and business users do not have the task of IT to provide real-time decision support systems. However, by 2018, 67% of developers around the world will focus on business innovations, although so far they are only 33%. Already today, former startups such as Square, Stripe, Landing Club, Prosper and SoFi, “eat lunch of bankers of traditional financial institutions,” and if you do not want to repeat the fate of the latter, take a look at the means of discovering new ideas for your business,.,
In the coming years, the development strategy of the entire IT industry will be determined by Digital Transformation: mobility, clouds, Big Data, the Internet of Things and predictive analytics can provide companies with competitive advantages and significantly reduce the price of introducing new products and services to the market. Most company executives agree that the delay in adapting the business to work in the digital age of death is similar, however, as noted in the article , in order to avoid the collapse of the company in the new environment, it is necessary to change the IT infrastructure, protect digital assets, adapt employees to work in the digital era and finally, to effectively use all available data.
Digital transformation no longer just requires data storage for subsequent unhurried analysis, but their processing in real time. By 2020, thanks to only the Internet of Things, the volume of stored data will increase by 6-7 times, however, the effectiveness of their use will depend on how enterprises are transformed into data-driven enterprises. The creators of Uber, FB, and Avito realized this earlier than others, recognizing in time that analyzing combinations of various information brings value, collecting, understanding, and analyzing them by establishing hidden connections using the Empower the Data-Driven Organization approach - providing organizations with new analysis-based capabilities data.
All these companies use the HPE Big Data Platform, which with good reason can be called a data monetization platform. It is based on two products integrated between each other: HPE Vertica - work with structured data (SQL), support for Python, the R language, as well as all ETL tools from leading market players and IDOL- processing of unstructured data, allowing customers and partners to quickly build composite analytical applications from unified blocks to solve a specific business problem. When working with this platform, companies do not need special expertise in working with data - their time is spent searching for new ideas. Today, there are more and more startups that build their business on data only, but Data Driven technologies appear in traditional companies, which are able to offer new products and services due to analytics.
The well-known Russian telecom operator uses raw data analysis from base stations to segment subscribers by age, the presence of a specific smartphone model and traveling by car or public transport from 9 a.m. to 10 a.m.
The monetization platform allows the route of these people to display targeted advertising on billboards, focused specifically on a specific group of customers. It is clear that this significantly increases the effectiveness of campaigns to promote goods and services, in fact, opening a new page in the B2B and B2C market.
The largest retail companies, using the monetization platform, analyze data from 3D cameras, evaluating the flows of customers to identify their requests and determine the “hot” zones in the trading floor. As a result, the order of the goods in the hall is changed, the cashier’s operating mode is adjusted, discounts are generated in real time, and if at some point the number of children in the store increases, either the goods corresponding to the monitors are displayed on the monitors or on monitors this age group. In addition, as a result of recognition of the emotional state of buyers, they may be invited to participate in various promotions.
Collecting sensor readings from cars, insurance companies evaluate their client’s driving style, and then offer him discounts on insurance policies or referrals to extreme driving courses.
E-commerce companies and marketplaces, such as Avito, can use Vertica to filter the content of ads, eliminate duplication, and comply with regulatory requirements.
The list of examples of specific data monetization based on Operational Analytics (Vertica) and Service Manager Smart Analytics (IDOL) systems can be continued, but it is clear that traditional analytics is unlikely to find similar business solutions, offering users only “archaeological” information, usually little impact on the operational conduct of business. It can take the analyst all the day to search for the necessary information on all corporate information systems, while Vertica and IDOL can become tools for finding new ideas in real time, helping to find valuable data and immediately automatically generate, for example, a presentation to company management.
What exactly does a startup, who usually knows everything about his client, need to monetize this knowledge in real time? A simple tool for testing hypotheses and generating ideas is required, which does not require large resources for development and implementation. Today, any startup can get a fully functional Vertica configuration for free, and the free, for beginner businessmen, IDOL On Demand version from the cloud will allow you to analyze media with support for the Russian language and full-featured search tools . Today, more than 50 Russian companies and over a dozen corporations use the HPE Big Data Platform analytical tools to monetize available data, both their own and from external sources.
Any business today is customer-oriented, which means that you can get a client only by making an offer that is difficult to refuse, for example, by offering a lower price, or by guaranteeing the return of a product or service, and for this you need to learn how to work effectively with raw data, understand their meaning, to know everything about the client. What is needed is not analytics received by mail once a month, but constant real-time analytics (“ad hoc”), enriched with retrospective information and allowing non-specialists in IT to make decisions based on data.
How do organizations manage their data and account for data from external sources? How not to lose the necessary information? How to keep a client by collecting all the public information about him? How not to miss the moment of launching a new product or service on the market? How to know when to and when not to offer specific services to a specific client? How to increase customer loyalty? Answers to these and similar questions are provided by the data monetization platform.
Digital transformation is changing business - even in Russia, 3% of GDP today is brought by the digital economy, in other words 2.2 trillion rubles. not hydrocarbons are given to the budget, but data. Is it time for all domestic enterprises to think about this? Business management based on outdated data can continue to be considered the norm, and business users do not have the task of IT to provide real-time decision support systems. However, by 2018, 67% of developers around the world will focus on business innovations, although so far they are only 33%. Already today, former startups such as Square, Stripe, Landing Club, Prosper and SoFi, “eat lunch of bankers of traditional financial institutions,” and if you do not want to repeat the fate of the latter, take a look at the means of discovering new ideas for your business,.,