BYTEBIO SOLUTIONS

Data and Indicators Operational

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.

Consulting, integrations, and follow-up with a defined scope.See a completed project.

ILLUSTRATIVE PANEL

Operation in perspective

Fictitious data
Payments284In the example month
Pending36In the example month
Choose to read the example requests.

Orders per week of creation

Orders
Orders per week of creationFictitious data. Semester 1: 54 paid and 12 pending; Semester 2: 68 paid and 10 pending; Semester 3: 75 paid and 8 pending; Semester 4: 87 paid and 6 pending. 050100 121086 54Sem. one68Sem. one75Sem. one87Sem. one
PaymentsPending

Status of orders

Orders
Status of ordersFictitious data. 320 orders: 284 paid and 36 pending.320orders
Payments
284
Pending
36
Origin of readingFinancial system
Orders created this month
Why might another report tell a different story?

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 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.

An experience you can check out.

CASE STUDY • FOOD INDUSTRY

From advertisement to invoiced sale.

Learn more about the complete project ↗

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.

Systems integration ↗

Information gathering and alerts

Clipping 2.0 organizes Stories content and alerts the team when it identifies something relevant to follow up on.

Story Monitoring ↗

HOW TO GET STARTED

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.

TALK TO BYTEBIO

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.

Let's talk about my data.
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