Use Cases

Energy more precise grid-load predictions

DESCRIPTION

The power supplier sends in a request. We then match the correct grid load analytics with the information provided by the grid users that gave their consent. Then the secured analysis takes place and an accurate grid load prediction is being released to the power supplier.

VALUE For the utilities:

► grid-load prediction

► probability of power failure risk

► cross-selling potentials (solar panels, etc.)

For the customer:

► data-based individual power offers

► comparison in peer group / consumption overview

► monetary remuneration for data / discounts

DESCRIPTION

The specific stakeholder provides sensitive data which is then transferred as dedicated analysis information that is crucial for business improvement, to the smart device producer. In return the producer provides the stakeholder with either PAX or some kind of premium service.

VALUE For the IoT-device manufacturers:

► tracking product life cycle

► new post-(re)-purchase service

► cross-selling potentials

For the end consumers:

► data-based individual power offering

► (data) privacy

► monetary remuneration for data / discounts

We at MADANA have a holistic approach when it comes to privacy preserving data analysis, thus we have several real-world use cases ranging from vari-ous industries. Following you will be able to see some use cases from different industries, depicting how MADANA can benefit each of the parties involved. PAX is our cryptocurrency which is the prevalent method of payment as well as incentivization in our system. Furthermore, it can be valued as a digital asset.

IoT additional IoT services can be offered to end consumers

DESCRIPTION

The retailer generates a best practice request. It then gets matched with the relevant data of their customers. After the secured analysis has been completed the retailer receives the results which he then uses to re-target the customers. The customer receives a personal-ized offering (for example a voucher) from the retailer.

VALUE For the retailers:

► increase offline sales & business image

► precise offline customer profile / shopping 4.0

► cross-selling potentials (online, events, etc.)

For the customers:

► data-based individual shopping

► peer group comparison

► discounts / monetary remuneration for data

VALUE For the automotive manufacturers:

► image improvement regarding “user privacy”

► precise and sensitive data analyses

► development of new digital services

► monetarization of consumer access to suppliers, thus establishing an extra revenue stream

For the drivers:

► self-sovereignity of produced data

► open-data access

► monetary remuneration for produced data

Retail increase of offline sales can be realized by retailers

Automotive new digital data privacy-based services can be offered to increase consumer loyalty and sales whilst establishing new revenue streams

DESCRIPTION

The automotive manufacturer initiates an analysis request after which the drivers of their cars get a request for access to their data. In parallel, a request for matching algorithm sets gets sent to the plug-in providers. After the specific and sensitive data from the drivers becomes available, it gets matched with the specific algorithms and a secured analysis takes place of which the results get sent to the automotive manufacturer. In the end, the drivers as well as plug-in providers receive either PAX, services, vouchers or other forms of benefits for participating.

DESCRIPTION

In this case the different data storages are also the individual end consumers which provide produced as well as the en-crypted data files, which subsequently will be matched with the relevant analysis algorithms from the plug-in providers (internal and external). The analysis results will then be handed over to the telco provider (data analysis buyer) who then is able to monetarize in light of their access to millions of users’ data - all whilst being compliant with the law. Thus, telcos will be able to collaborate with their customers in an innovative way, creating another revenue stream for themselves and enhancing their edge against their OTT rivals.

VALUE For the telcos:

► image improvement regarding “user privacy”

► monetisation of user data to businesses

► cross-selling potentials

► hosting of data processing entities, if applicable

For the end consumers:

► monetary remuneration for data

► data-based services (e.g. individual offerings for internet bundles)

Telecommunicationsadditional data services can be implemented for consumer acquisiton and loyalty, while challenging OTTs by monetarizing consumer access to third-parties

DESCRIPTION

The health insurer requests and pays for a medical analy-sis. The health care professionals will encrypt all the newly created direct data of the respective patient. Then a joint medical analysis is run with the use of the patients indirect and direct medical data. After the analysis is completed, the patient will receive a personalized treatment recom-mendation and the health care professionals will receive new medical insights or PAX.

VALUE For the insurer:

► more peer-group transparency

► precise and sensitive data

► development of individual insurance policies

For the patients / doctors:

► data-based individual treatments

► peer-group / “help others” comparisons

► discounts / monetary remuneration for data

E-Health efficient research development leads to new treatment methods

DESCRIPTION

Hospitals, patients and health care professionals provide sen-sitive data. The clinical research centers then match the sen-sitive data with their analysis algorithms to perform secured analysis. The clinical research centers receive new insights which then can be used to improve current treatments as well as come up with new treatments which in the end will be released to the hospitals and doctors.

VALUE For the clinical researchers:

► increase in research attempts

► increase in efficiency of patients’ data allocation,preparation and processing

► easy consent management of clinical researchparticipants

For the patients, doctors and hospitals:

► data-based individual treatments

► peer group / “help others” comparison

► monetary remuneration for data / discounts

► easy consent management of patients’ dataand documents

If you have any further questions or want to see how and if MADANA can benefit you and your business, please contact us at: info@madana.io

Insurance individual insurances policies can be offered to policyholder

Reinsurance anonymized KPI-based industry

benchmarks can propel the whole industry

Clinical research more efficient research development can lead to new treatment methods and products