Table 3. Validation of the reference... | Emerald Publishing

Table 3.

Validation of the reference DDBM blueprint – adaptation to an actual contract

Model component	Model component description	Relations with other nodes	Remarks and inhibitors
Sale proposition design	1. Descriptive analytics-based products: • Weekly reports on consumption broken into individual facilities; • Monthly reports; • Holiday reports (consumption during off-periods of facilities to check whether device schedules are working well); • Savings reports (record sheets of power consumption figures in comparable periods, e.g. week to week, current month to preceding month); • Comparison of actual consumption (measured) with entries of invoices issued by electric power suppliers. 2. Predictive analytics-based products: • Monthly consumption forecasts. 3. Prescriptive analytics-based products: • Analyzes of the items listed above; should a suggestion of changing the tariff come up, simulations of future power consumption accompanying possible tariffs shall be performed	In this case, the information regarding the opportunity to support the analytics reached the target customer without launching a marketing campaign – the customer announced an award of contracts by tenders for data processing services, which SESCOM won	For the purpose of the tender announced by the customer, data products were described by the customer in the form of the demand for specific reports. This was bidding information. The final list of products was developed through joint workshops during which the descriptive, predictive and prescriptive components were identified
Revenue approach development	Customer pays a monthly subscription fee to gain access to data products. This fee covers the consultancy of the company’s data analysts as well	The revenue approach seizes all DDBM dimensions. Any change in these dimensions can affect the revenue	The lump-sum was affected exclusively by: • The number of facilities under maintenance; • The number and complexity of data products
Data management policy development	The following were agreed upon: 1. Data sources: • Measurements of power consumption in individual facilities; • Invoices regarding an electric power supply; • Contracts with energy suppliers; • Technical parameters of buildings (narrowed down to those that affect power consumption); • Schedules of facilities operation; • Record sheets and parameters (both technical and work schedules) of electrical devices; 2. Rules for accessing data sources; 3. Frequency of collecting individual data streams; 4. Product delivery channels (via email/dedicated platform)	Data management policy was developed in parallel to the sale proposition design (i.e. along with defining and cataloging of services). The policy takes into account the security and confidentiality of data	Principles of operation regarding telemetry and IT systems that process data (and are owned by SESCOM) constitute a vital component of this policy. The customer gained the required access to IT solutions, was familiarized with their operation and activities related to handling target data products
Marketing strategy development	Marketing content is being prepared on promoting the activities put into action, as well as the benefits gained by the customer from analytics and acquired knowledge	The strategy for pricing data-based products, cataloging them for marketing purposes and putting into detail for commercial purposes is being pinpointed	White papers describing the execution of this contract are being elaborated
BICC development	Structure of the BICC team proposed by the company under research involves the customer’s facility manager and contractor’s representatives: • Data analyst/energy manager; • Database and data warehouse expert; • Software developer; • Sales representative; • Marketing representative	The participation of the sales and marketing representatives ensures monitoring the implementation of the offering to continuously improve it, as well as to generate external communication regarding data products that SESCOM can deliver	Demand exists for further roles in the BICC team, which should materialize to support contract execution and development of new offering components: • An R&D expert or team; • Domain experts (electricians, hardware-related professionals, construction workers); • A project manager (for handling overall contract execution)

Model component	Model component description	Relations with other nodes	Remarks and inhibitors
Sale proposition design	1. Descriptive analytics-based products:• Weekly reports on consumption broken into individual facilities;• Monthly reports;• Holiday reports (consumption during off-periods of facilities to check whether device schedules are working well);• Savings reports (record sheets of power consumption figures in comparable periods, e.g. week to week, current month to preceding month);• Comparison of actual consumption (measured) with entries of invoices issued by electric power suppliers.2. Predictive analytics-based products:• Monthly consumption forecasts.3. Prescriptive analytics-based products:• Analyzes of the items listed above; should a suggestion of changing the tariff come up, simulations of future power consumption accompanying possible tariffs shall be performed	In this case, the information regarding the opportunity to support the analytics reached the target customer without launching a marketing campaign – the customer announced an award of contracts by tenders for data processing services, which SESCOM won	For the purpose of the tender announced by the customer, data products were described by the customer in the form of the demand for specific reports. This was bidding information. The final list of products was developed through joint workshops during which the descriptive, predictive and prescriptive components were identified
Revenue approach development	Customer pays a monthly subscription fee to gain access to data products. This fee covers the consultancy of the company’s data analysts as well	The revenue approach seizes all DDBM dimensions. Any change in these dimensions can affect the revenue	The lump-sum was affected exclusively by:• The number of facilities under maintenance;• The number and complexity of data products
Data management policy development	The following were agreed upon:1. Data sources:• Measurements of power consumption in individual facilities;• Invoices regarding an electric power supply;• Contracts with energy suppliers;• Technical parameters of buildings (narrowed down to those that affect power consumption);• Schedules of facilities operation;• Record sheets and parameters (both technical and work schedules) of electrical devices;2. Rules for accessing data sources;3. Frequency of collecting individual data streams;4. Product delivery channels (via email/dedicated platform)	Data management policy was developed in parallel to the sale proposition design (i.e. along with defining and cataloging of services). The policy takes into account the security and confidentiality of data	Principles of operation regarding telemetry and IT systems that process data (and are owned by SESCOM) constitute a vital component of this policy. The customer gained the required access to IT solutions, was familiarized with their operation and activities related to handling target data products
Marketing strategy development	Marketing content is being prepared on promoting the activities put into action, as well as the benefits gained by the customer from analytics and acquired knowledge	The strategy for pricing data-based products, cataloging them for marketing purposes and putting into detail for commercial purposes is being pinpointed	White papers describing the execution of this contract are being elaborated
BICC development	Structure of the BICC team proposed by the company under research involves the customer’s facility manager and contractor’s representatives:• Data analyst/energy manager;• Database and data warehouse expert;• Software developer;• Sales representative;• Marketing representative	The participation of the sales and marketing representatives ensures monitoring the implementation of the offering to continuously improve it, as well as to generate external communication regarding data products that SESCOM can deliver	Demand exists for further roles in the BICC team, which should materialize to support contract execution and development of new offering components:• An R&D expert or team;• Domain experts (electricians, hardware-related professionals, construction workers);• A project manager (for handling overall contract execution)