Business Intelligence

Lead Generation & Qualification
31 August 2017

Business Intelligence

Data Analysis to improve the effectiveness of decisions and to increase the involvement of actors contributing to transforming data into information and knowledge.



Modeling elements to provide essential guidelines for making more effective decisions. Including: Ideal Client Profile, Targeting and Segmentation, definition of the impact of the Value Proposition by sector and account size (IntelliSpot).


Training people to understand basic logic in data analysis and their transformation into information and knowledge.



Use data to enrich planning information systems with measurable and manageable elements over time. For example, creating "alert" when certain conditions occur, or providing a clear view of the existent.


Through the involvement of all channel stakeholders, you can collect sell-out data and counterbalancing your strategies, including Partner views.

- Technological investment far-sighted to avoid blocking the system growth because it is difficult to scale.
- Avoid setting up data collection and reading by placing the administrative and non-business view too dominant.
- Primary company that produces and distributes consumable products to Laboratories and Dentistry that has been challenged to seize external signals from their customers in order to understand the potential, attractiveness and evaluate the possibilities that endogenous factors can cause.
- Primary telecommunications company periodically conducts an analysis of the sales of its SoHo segment in order to develop incentive and "vertical" systems in relation to specific segments of the industry.