Map of indicators and sources
Definition of each metric, responsible, origin and update frequency.
Integrate sales, financial and operational data into clear indicators, with automated updating and access by profile.
A scope built from your process, with deliverables that the team can validate and use.
Definition of each metric, responsible, origin and update frequency.
Collection of agreed sources and reconciliation of samples with source systems.
Management views with filters, permissions and details appropriate to each audience.
Documentation, usage guidance and monitoring of first readings.
Illustrative example of application; does not represent a measured customer outcome.
A distributor crosses orders, receipts and targets in three spreadsheets.
The manager consults an integrated view and identifies pending orders and deviations by period, with the origin of each indicator.
We start with an area and a set of indicators. The implementation can evolve into maintaining integrations and new panels in monthly cycles.
Licenses, additional fonts and history to recover are dimensioned in the diagnosis. Indicators depend on the quality and availability of source data.
Not necessarily. We first evaluate APIs, exports, and permissions of current systems to choose the viable integration.
The frequency depends on the sources and the decision the panel supports. It is combined in scope and displayed to anyone querying the data.
Each vision is based on a real decision, has someone responsible for validation and includes usage guidance and adoption monitoring.
Tell us which process needs to be improved, the systems involved and the company’s current situation. We will analyze the context and respond via email.
Service of interest: Data and BI for management. After the initial analysis, we decide whether the next step is a diagnosis, a pilot or a proposal.
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