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Data Analytics & Processing

Turn Business Data into Useful Information.

Collecting, cleaning, structuring and analysing business data so that it can support reporting and decisions.

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Overview

Most companies already hold plenty of data — spread across spreadsheets, databases and business applications. SENIQ helps bring this data together, check its quality and prepare it so that it can be analysed and used.

The work ranges from one-off analyses and data preparation to automated processing workflows and the preparation of data for migration to a new system.

What we offer

Data collection and integration

Gathering data from different sources and systems and combining it into a consistent basis.

Data cleaning and validation

Finding and correcting duplicates, gaps, inconsistencies and formatting errors, and checking data against agreed rules.

Data preparation

Structuring and transforming data so that it is ready for analysis, reporting or further processing.

Business data analysis

Analysing business data to answer concrete questions — for example about sales, processes or operational developments.

Reports and dashboards

Preparing reports and visualizations that present the relevant figures clearly.

Processing automation

Automating recurring data-processing steps to reduce manual effort and sources of error.

Migration preparation

Preparing, mapping and validating data for the move to a new system.

Business challenges we address

  • Data scattered across systems, spreadsheets and departments
  • Reports that take days of manual work to compile
  • Figures that differ depending on which system you ask
  • Poor data quality that undermines confidence in decisions
  • An upcoming system migration with data that is not ready for it

Example scenario

Illustrative scenario Hypothetical example for explanation only — not a description of a client project.

Consolidating scattered sales data

Starting point
A company’s sales data are spread across a CRM, an online shop and several spreadsheets. Monthly reporting is done by hand, and the figures do not always match.
How SENIQ could approach it
  1. Identify the relevant data sources and how the data is structured.
  2. Combine the data and validate it against agreed rules.
  3. Clean and structure the information into a consistent dataset.
  4. Prepare reports or a dashboard, and automate recurring steps where useful.
Intended result
A consistent, validated data basis that supports regular reporting.

What you receive

Depending on the agreed scope, typical deliverables include:

  • Clean, validated datasets
  • Reports and visualizations
  • Automated processing workflows
  • Migration-ready data

Software & Data Consulting

Technology selection and modernization planning.

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Software Development & Modernization

New software and legacy modernization.

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IT Infrastructure & Technical Support

System configuration, optimization and support.

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Discuss your Data Analytics needs

Tell us about your systems and goals. We will discuss how this service could support your business.

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