We generate data useful for strategic planning.
Data is everywhere. We collect it, classify it and try to benefit from it. Regulators ask, the market as well. It’s no secret that organizations that can effectively use their data have a strong competitive advantage.
However, companies do not know how to direct the efforts to manage critical data as a real asset: they invest a lot of time and resources to model them, in order to adapt them to current regulations and provide a unique and simplified interpretation of the observed reality. They deal with different data sources related to their processes, each with different metrics, often as many as the functions and tools involved.
Data is everywhere. We collect it, classify it and try to benefit from it. Regulators ask, the market as well. It’s no secret that organizations that can effectively use their data have a strong competitive advantage.
However, companies do not know how to direct the efforts to manage critical data as a real asset: they invest a lot of time and resources to model them, in order to adapt them to current regulations and provide a unique and simplified interpretation of the observed reality. They deal with different data sources related to their processes, each with different metrics, often as many as the functions and tools involved.
The measurement areas to improve the company’s strategy can be many: the perceived quality of a service resulting from multiple processes, the identification of bottlenecks in workflows, management and allocation of resources and budget, the definition of minimum SLAs. The dispersion related to their management leads managers to have a fragmented and limiting vision, with repercussions on the decisions taken.
With our Data-Driven Decision Making service, we design digital process management and measurement systems that generate data by design, organizing them into unique and easily readable structures.
We support strategic planning by managing data as if it were assets: we ensure full traceability and make them organized and usable to allow real-time consultation to decide.
The measurement areas to improve the company’s strategy can be many: the perceived quality of a service resulting from multiple processes, the identification of bottlenecks in workflows, management and allocation of resources and budget, the definition of minimum SLAs. The dispersion related to their management leads managers to have a fragmented and limiting vision, with repercussions on the decisions taken.
With our Data-Driven Decision Making service, we design digital process management and measurement systems that generate data by design, organizing them into unique and easily readable structures.
We support strategic planning by managing data as if it were assets: we ensure full traceability and make them organized and usable to allow real-time consultation to decide.
You don’t have enough data to prove the goodness of the planned strategy and to test it step by step, in order to adjust the focus as you go. Likewise you struggle to pick up the internal signals to figure out where to optimize.
You are not sure about the reliability of the data: they were entered several times manually by different people and functions and then put together without being normalized. There may be duplications, discrepancies and errors that could alter the final reading.
The data mining processes, that is to say the extraction of information from the data, require a lot of time for the staff and do not allow the timeliness of the decisions, because of the time necessary to organize them.
Work in silos in data management: if we think that services result from multiple processes, sometimes transversal to the functions, you struggle to read the data generated by the various tools in an overview.
You don’t have enough data to prove the goodness of the planned strategy and to test it step by step, in order to adjust the focus as you go. Likewise you struggle to pick up the internal signals to figure out where to optimize.
You are not sure about the reliability of the data: they were entered several times manually by different people and functions and then put together without being normalized. There may be duplications, discrepancies and errors that could alter the final reading.
The data mining processes, that is to say the extraction of information from the data, require a lot of time for the staff and do not allow the timeliness of the decisions, because of the time necessary to organize them.
Work in silos in data management: if we think that services result from multiple processes, sometimes transversal to the functions, you struggle to read the data generated by the various tools in an overview.
Fragmentation of technology and data does not allow insight-drive planning. According to the 360° Data Management Survey, only 17% of companies surveyed took a data-driven approach in their digital transformation journey. You risk investing in innovation without really making use of the potential that digital offers. To benefit from it you should:
Over time and with experience, you have defined established procedures to produce certain inputs: services to internal users if you are a support function, to customers if you have a service-oriented business. Given the intersection of multiple processes toward a final result (the service), you should map the information systems involved and KPIs defined for each of them.
Before you transpose processes to a digital platform, you should analyze the information needs of decision makers: what data are useful in defining strategy? Based on this assumption, processes should be centralized and standardized on a digital platform in order to automatically generate the relevant data, in the appropriate form. Business tools must be integrated into the flow so that they can be combined automatically in the event of an information request.
The platform you choose should bind you to compliance requirements set by law and company policy. The standardization of the processes allows to set restricted data entry procedures that ensure their consistency. This way you can be sure that all users cannot do otherwise.
Finally, you should be able to easily get reports, without wasting time in manual data management: setting KPIs in the dashboards that are most useful for strategic planning and automating data processing, you should be able to get a real-time overview and detail to always be on track.
Fragmentation of technology and data does not allow insight-drive planning. According to the 360° Data Management Survey, only 17% of companies surveyed took a data-driven approach in their digital transformation journey. You risk investing in innovation without really making use of the potential that digital offers. To benefit from it you should:
Over time and with experience, you have defined established procedures to produce certain inputs: services to internal users if you are a support function, to customers if you have a service-oriented business. Given the intersection of multiple processes toward a final result (the service), you should map the information systems involved and KPIs defined for each of them.
Before you transpose processes to a digital platform, you should analyze the information needs of decision makers: what data are useful in defining strategy? Based on this assumption, processes should be centralized and standardized on a digital platform in order to automatically generate the relevant data, in the appropriate form. Business tools must be integrated into the flow so that they can be combined automatically in the event of an information request.
The platform you choose should bind you to compliance requirements set by law and company policy. The standardization of the processes allows to set restricted data entry procedures that ensure their consistency. This way you can be sure that all users cannot do otherwise.
Finally, you should be able to easily get reports, without wasting time in manual data management: setting KPIs in the dashboards that are most useful for strategic planning and automating data processing, you should be able to get a real-time overview and detail to always be on track.
We create a single information repository, analyzing and reviewing business processes on a centralized digital platform.
We enable people and different functions to collaborate and interact in business management by following standardized and defined workflows to ensure compliance and consistency in data collection. We eliminate all discretion and ensure an overview that facilitates analysis and comparison.
We create a single information repository, analyzing and reviewing business processes on a centralized digital platform.
We enable people and different functions to collaborate and interact in business management by following standardized and defined workflows to ensure compliance and consistency in data collection. We eliminate all discretion and ensure an overview that facilitates analysis and comparison.
We digitize and standardize processes to improve
service delivery.
We automate the creation of reports useful for planning.
We ensure that the collected data adheres to corporate policies and regulations.
We eliminate time spent in data mining processes.
We digitize and standardize processes to improve
service delivery.
We automate the creation of reports useful for planning.
We ensure that the collected data adheres to corporate policies and regulations.
We eliminate time spent in data mining processes.
Would you like to make strategy decisions based on reliable and easily usable data?
Would you like to make strategy decisions based on reliable and easily usable data?
OUR OFFICES
OUR OFFICES
PADUA
Via Arnaldo Fusinato 42, 35137
MILAN
Viale Enrico Forlanini 23, 20134
ROME
Viale Giorgio Ribotta 11, 00144
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