Understand where the number comes from. Know what to do with it.
A Bytebio Organize sources, define criteria with your team, and build integrations, validations, and dashboards to monitor operations with verifiable information.
One report might select orders created in the month; another, payments confirmed in the month. These are different questions. Bytebio It maps the definitions before comparing the numbers and documents the criteria for each reading.
Criteria for this reading
The same selection of orders underpins the charts and totals.
Pig iron
Financial systemPayment confirmation record
Period
Month the order was createdSame selection for paid and pending items.
Exceptions
Cancellations and refundsDocumented treatment with the team
Responsible
Finance teamCheck the pending items and validate the criteria.
Fictitious values for 320 orders created in the month. An example of how to visualize the operation; indicators and criteria are defined in each project.
BYTEBIO'S WORK
From defining the indicator to routine management.
We can start with a report that raises questions or with information that needs to circulate between departments. The first deliverable is defined in the diagnosis.
Definitions and registrations
To give the same meaning to the records.
We mapped sources and definitions, such as order delivered or active customer. We defined fields, identification keys, and patterns to link records between systems.
What your team receives
Data dictionary (field definitions), calculation rules, and documented registration standards.
Integrations and validations
Connect the bases and check what arrives.
We build connections and checks to identify missing data, duplicates, and discrepancies. For example, an order without a reference may be added to a correction list before being included in the report.
What your team receives
Integrations, checks, and handling of outstanding issues foreseen in the project.
Indicators and dashboards
To answer the question that guides the decision.
We organize indicators and dashboards with understandable sources, periods, and filters. Instead of mixing sales and receipts, each reading follows the combined definition.
What your team receives
Indicators, dashboards, or reports validated with the team that will use them.
Management and continuity
Keep the information useful after deployment.
We define responsibilities, update frequency, and monitoring criteria. Changes to fields, sources, and rules need to be verified to maintain consistency with historical data.
What your team receives
Documentation and routine management; monitoring and progress according to the contracted scope.
FROM DATA TO ACTION
An issue needs to reach the person who can resolve it.
The indicator becomes useful when the team knows how to verify the information and what action to take. These are situations that we can structure within the project.
Situation identifiedWhat we structuredTeam action
Situation identified
The source stopped updating.
What we structured
Identification of the last update and error message.
Team action
Check the source before using the reading.
Situation identified
The record is incomplete.
What we structured
Validation and backlog with reference to the record.
Team action
Correct the information in the responsible system.
Situation identified
The indicator deviated from the agreed criteria.
What we structured
Alert with context and access to details.
Team action
Investigate and decide according to business rules.
Alerts, frequency, and responsible parties are defined as needed. Updates depend on available sources and connections.
In this project, the Bytebio The team connected ads, website, CRM, and ERP systems, preserved the origin of the sale, and built dashboards in Looker Studio, a data visualization tool. They then began to view the revenue associated with the campaigns, with sales to businesses and consumers separated.
ROAS (return on ad spend) now relates the revenue attributed to the campaign to the amount invested. The definition and link between the sources came before the dashboard.
The path to return reading
LookerStudio
in the campaign
Origin identified
Channel and campaign accompany the sale.
in the commercial
Linked sale
The information flows from the website to the CRM.
Invoicing
Associated revenue
The ERP confirms the invoiced sale.
LookerStudio
Return panel
Revenue and investment related by campaign.
Representation of the case study's journey. No client data or numerical results are provided.
Other fronts demonstrated in the case studies
CRM, ERP, and spreadsheets connected.
Standardized registration systems and information sharing across departments, in a multi-sectoral case study.
Bring up a question that your reports don't yet answer well.
In the diagnostic phase, we examine sources, discrepancies, and decisions that depend on the information. The proposal defines the first deliverable, the necessary access, and how your team will validate the result.
For example, understanding why the total number of orders changes between sales and finance can guide the first set of definitions, connections, and checks.
Do we need to change our reporting tool?+
We assess what your team already uses and what needs to be corrected or connected. The choice of tool depends on the sources, access, volume, and usage patterns. A migration is only included in the proposal when it is necessary and agreed upon.
Will the update be in real time?+
Frequency depends on the available sources and interfaces. We combine periodicity, methods for identifying delays, and error handling. Data that has stopped updating needs to be recognizable to those consulting the report.
Does the solution require artificial intelligence?+
We can organize data, integrations, and indicators without AI. When there is a suitable task, such as classifying records or summarizing information, we evaluate an application using our own authorized sources, permissions, and review criteria.
CONTEXT OF YOUR COMPANY
The question changes. The criterion remains clear.
Discover the portfolio of Bytebio for your segment. The examples below are possible applications, defined based on each company's data and systems.
What number does your team need to be able to explain?
Tell us which reports you use, where discrepancies arise, and what decision is proving difficult. We'll start by addressing this need to define a deliverable that your team can review.