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Solutions

Solutions / Data

Data Analytics and Reporting

Turn scattered data into reports you can decide on.

Most companies are not short of data — it is simply scattered, and the same figure comes out differently in different files. Our analytics work focuses on consolidating sources and clarifying the view management actually needs.

Why you cannot see your own data

When reporting becomes hard, the problem is usually the path the data travels, not the analysis method.

  • The same report is rebuilt by hand every month.
  • Departments calculate the same metric differently.
  • As spreadsheets grow, so does the risk of error.
  • Data is spread across CRM, accounting and operations systems.
  • By the time the report is ready, the decision moment has passed.

Automating spreadsheet work

You do not have to abandon Excel. The gain comes from automating the repetitive merging and checking around it.

  • Merging files and cleaning duplicate records
  • Rule-based checks that run automatically
  • Flagging incorrect and missing records
  • The same calculation producing the same result every time
  • Output generated ready for reporting

Dashboards and report types

Management dashboard

A daily overview of the company on one screen.

Sales and customer reports

Pipeline, conversion and customer activity over time.

Finance and cash flow

Tracking collections, payments and cash position.

Operations reports

Workload, completion times and bottleneck analysis.

Ready product or custom setup?

  1. 1

    Spreadsheet-heavy processes

    If analysis largely runs in Excel, Luci Excel Analytics delivers results quickly.

  2. 2

    Multi-source reporting

    When data comes from several systems, Luci Report brings those sources into one dashboard.

  3. 3

    Company-specific calculations

    Where metrics and logic are unique to your business, the reporting layer is custom built.

  4. 4

    A combined setup

    In practice most projects mix the ready product with a degree of custom work.

Frequently asked questions

Our data is messy — can we still start?
Yes. Mapping and cleaning existing sources is the first step. Tidy data is an output of the project, not a prerequisite.
Do reports refresh automatically?
If source systems allow data access, yes. If not, a periodic file-based flow is defined.
Do we have to stop using Excel?
No. The goal is removing repetitive manual work, not banning spreadsheets.
Who can see which report?
Access is defined by role, so each user only sees the reports opened to them.

Which report should we start with?

Share the report that takes the most time — automating it first is usually the quickest win.