BigUpon / Data & Insights

Less noise.
More useful insight.

Find the signals in your spreadsheets and business data. Our analysis, reporting, and dashboard support helps you understand performance, explore audience insights, and decide what to investigate next.

For teams working with spreadsheets, reports, or business data that needs a clearer explanation.

01 / The basics

What is data analysis?

Data analysis is the process of examining information to answer a question. It can involve cleaning data, comparing results, finding patterns, and explaining what those patterns may mean.

A useful analysis starts with a specific business question. We look at the available data, check its limitations, and choose an approach that fits the question rather than producing charts without a purpose.

02 / How it helps

Understand the numbers.
See what matters.

01

Understand the current picture

Bring relevant figures together in a form your team can follow.

02

Find useful patterns

Explore changes, differences, and exceptions that deserve a closer look.

03

Support better discussions

Use clearly explained evidence instead of relying only on impressions.

03 / What we can help with

From raw data
to a clearer picture.

01

Question & data review

Define the business question and review the available sources.

02

Data cleaning

Address agreed issues such as missing values, duplicates, and inconsistent formats.

03

Exploratory analysis

Compare relevant measures, groups, and time periods.

04

Charts & dashboards

Present agreed measures with clear labels and useful context.

05

Reports & findings

Explain the main observations, assumptions, and limitations.

06

Repeatable reporting

Discuss reusable spreadsheets, reporting steps, or refresh routines where needed.

We agree on the exact services before work begins. These are options, not a fixed package.

04 / When to get support

When is analysis worth doing?

Analysis can help when reports are difficult to interpret, figures disagree, or a team needs evidence for a decision. It is also useful when a recurring manual report needs a clearer and more repeatable process.

Signs it may be time

  • Your information is spread across multiple files.
  • You need to compare performance over time.
  • A report takes too long to prepare.
  • You want a clearer explanation of the numbers.

05 / How we work

A clear process.
Room for your input.

  1. 01

    Define the question

    Agree on the decision, sources, measures, access, and expected output.

  2. 02

    Prepare & analyze

    Clean the agreed data, check calculations, and explore relevant comparisons.

  3. 03

    Explain the findings

    Present the results, note limitations, and hand over the agreed files or report.

06 / What to expect

Clear scope.
Practical deliverables.

The output should explain what the figures show and what they cannot establish. Your proposal confirms the sources, tools, calculations, format, refresh needs, and any documentation.

Confirm in your proposal

  • Defined questions and agreed measures
  • Prepared data or cleaning notes within scope
  • Agreed calculations and comparisons
  • Charts, dashboard, spreadsheet, or written report
  • Assumptions, limitations, and handover guidance

Access to data must be authorized. Sensitive information should be minimized and handled under agreed terms. Forecasting, advanced modeling, automated integrations, and ongoing reporting are separate unless included.

07 / Getting the details right

Good work starts
with clear expectations.

Check the inputs

Missing, inconsistent, or incomplete records can change the interpretation.

Explain the comparison

State the time period, definitions, units, and relevant context.

Separate evidence from assumptions

A pattern does not automatically explain its cause. Findings should reflect the limits of the data.

08 / Why choose BigUpon

Practical help.
A clear way of working.

We focus on making the work understandable and useful. You get a clearly defined question, appropriate comparisons, and findings that explain the numbers without overstating them.

Explore our work ↗

A question-led approach

The business need guides the analysis and reporting.

Clear presentation

Charts and explanations designed to be followed by your team.

Honest interpretation

Assumptions and data limitations stated alongside the findings.

Common questions

FAQ

01What data can you work with?

We review your available files, formats, and access requirements before confirming scope. Spreadsheets and exported business reports can be a starting point.

02Can you clean messy spreadsheets?

Yes, data cleaning can be included. We agree on how to handle duplicates, missing entries, inconsistent formats, and other issues.

03Can you make a dashboard?

Yes, we can discuss a dashboard or report based on the measures your team needs. The tool, data sources, refresh process, and licenses are confirmed first.

04Will you tell us what caused a change?

We can explore patterns and possible explanations, but the available data may not establish cause. We explain the evidence and its limits.

05Can you update the report regularly?

Recurring updates can be scoped separately. We agree on the schedule, data access, refresh steps, and responsibility for checking the source data.

Let’s find your fit

Ready to talk data analysis?

Tell us what you have in mind. We’ll discuss the requirements and the right next step for your project.