Thanks to its commitment to digitalization and expansion, Enel has one of the largest international networks of clients, partners and suppliers, generating a vast amount of data that ranges from energy consumption to daily mobility activities. As a result of its different business lines, Enel has access to extensive sets of data which have continued to grow over the last several years. Enel’s business encompasses:
- 32 countries
- 2.2 million kilometers of networks
- 87 gigawatts installed capacity
- 49 gigawatts Renewable Energy Solutions (RES) capacity
- 70 million customers
- >20.000 suppliers
The creation of value from data can be done through two different paths: monetization and valorization, and it is important to distinguish between the two (as follows a few examples).
MONETIZATION: Enhancement of existing offering, direct sale or creation of new products, focused on revenue growth and with three subsets:
1. External monetization: Raw data sales, insights, targeted data product or data driven services
- Quandl: Build on corporate jets routes to provide insights on potential M&A activities.
- Optum: Drugs usage and effectiveness taken from claims and sold to drugs makers.
- The Climate Corporation: Granular weather data & advanced modelling used to develop an agri-insurance business.
2. Ecosystem orchestrator: Ownership & operation of the data platform that manages ecosystem data assets
MyJohnDeere: Integrated farming platform to help agricultural producers consolidate and manage equipment information, production data and farm operations, aiming at reducing downtime, optimizing fleet management, increasing crops yields.
3. Internal exploitation: Data leveraged to improve & upgrade existing offerings (NOTE: This subset is out of scope for the current Challenge)
Starbucks: Offering personalization & products suggestion based on consumption habits
VALORIZATION: Optimization of internal processes and operations, focused on better decision making and cost reduction (NOTE: Valorization is out of scope for the current Challenge)
Enel: Data for vegetation management activities
The focus of this Challenge is data monetization for new business using the methods of External monetization or Ecosystem orchestrator. Data valorization and Internal exploitation of data are outside the scope of the current Challenge and solutions addressing these topics will not be awarded.
The Enel Group has an extensive amount of data coming from the different activities and business units. The data has been clustered as:
- Buildings/Industrial sites
- Smart City
- Electric Mobility
- Financial Services
- Water reservoirs
- Infrastructure & Networks
- Global Procurement
- SEECA (Social, economic and environmental context analysis).
The attached document Data Description.docx contains a more complete description of the internal Enel data available for each of the above listed clusters.
In addition to the internal data described above, some examples of open data and external data from other industries that can be combined with Enel’s data include, but are not limited to:
- Tech companies
- Real Estate
Enel is looking for new ways of leveraging their internal data and external data to create new business, products or solutions that can create new revenue streams. The focus is to use Enel data but also to consider other sectors, industries or open data that could be interesting to be combined with Enel’s data.
With all of the datasets and information available, Enel considers possible questions that can be answered to include:
- Can our weather data be used to develop specific services to the agriculture industry? And adding Copernicus land data?
- Can our customer data be combined with insurance data to develop a new product?
- Can our electric mobility data be used to solve any new trend within the cities?
- Can our buildings and industrial site data be interesting to partner with Construction/Real Estate companies and develop a new business?
This is by no means a complete list of questions and it is left to the Solver to determine and present with supporting information ideas for new and innovative ways to leverage the vast amount of data at Enel’s disposal to create new revenue streams. Solvers should use the Business Idea Canvas, and provided in editable form as the attachment Business Idea Canvas.pptx, to summarize the key elements of their submission. Full submissions to this Challenge must expand on each of the tiles of the canvas to provide a detailed, comprehensive description of the proposed solution.
Proposed solutions should address the following Solution Requirements:
- Provide a new and innovative way for Enel to leverage internal and external data to increase revenue.
- Must utilize one or more of the internal datasets listed in Data Description.docx. Use of external datasets is optional.
- The innovative solution should:
- Be DESIRABLE, attractive to customers
- Be VIABLE, revenue potential
- Be FEASIBLE, technical, operational and legal/regulatory
- Demonstrate STRATEGIC FIT, synergies and competitive advantages (the solution has a significant competitive advantage in its market and fully exploits the synergies between Enel’s data and other industries/sectors data)
- Demonstrate an added value
- Achieve higher values/impacts or grant additional features/insights when combined with Enel solutions (see https://www.enel.com/company/services-and-products)
- Solutions should support Enel’s commitment on SDGs (Sustainable Development Goals).
The submitted proposal must include the following:
- Detailed description of a solution that can meet the above Solution Requirements including:
- Completed Business Idea Canvas based on the attached file Business Idea Canvas.pptx summarizing the proposed solution.
- A comprehensive description expanding on each of the tiles of the canvas with detailed information.
- Rationale for the proposed solution and how it meets the Solution Requirements of the Challenge.
- Discussion of any limitations and/or barriers for the proposed solution.
- Detailed description of the data used for the solution including internal Enel datasets and any external datasets utilized. Proposed use of external datasets should include details on obtaining and accessing the data.
The proposal should not include any personal identifying information (name, username, company, address, phone, email, personal website, resume, etc.) or any information the Solvers may consider as their Intellectual Property they do not want to share.