Our services / Data Systems

Data Systems

We consolidate your data, establish its reliability and present it so that the people running the business can act on it.

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01

Step 1

Understanding your goals

We start with the decisions your leadership must make and the questions it cannot answer today. We then trace where the relevant data resides, assess its reliability and define a single, agreed version of each figure.

02

The Build

Frontend, backend and supporting requirements

Frontend

We build dashboards and reports that present the figures clearly, with the filters and detail each audience requires.

Backend

We build the pipelines that collect, clean and combine your data, and the databases and models that hold it.

Other requirements

We implement data quality checks and access permissions, document every measure and train the people who use the system.

03

The Stakk

The technologies we work with

Five technologies we use for each part of the build. Your requirements determine the final selection.

Languages

  1. Python
  2. SQL
  3. DAX
  4. R
  5. VBA

Analysis

  1. Pandas
  2. NumPy
  3. scikit-learn
  4. statsmodels
  5. Jupyter

Visualisation

  1. Power BI
  2. Tableau
  3. Looker Studio
  4. Excel
  5. Plotly

Storage

  1. PostgreSQL
  2. BigQuery
  3. Snowflake
  4. SQL Server
  5. MySQL

What we build

Data Systems in detail

The services within Data Systems, each with the Stakk we typically apply.

Dashboards and reporting

Live views of performance for management that replace manually assembled reports.

  • Power BI
  • Tableau
  • DAX
  • SQL
  • Excel

Data pipelines and warehousing

Data from across the business gathered into one governed store, refreshed on a schedule.

  • Python
  • SQL
  • Apache Airflow
  • dbt
  • BigQuery

Financial modelling and forecasting

Budgeting, forecasting and scenario models that finance teams can maintain and rely on.

  • Excel
  • VBA
  • Python
  • statsmodels
  • Power BI

Analytics and machine learning

Statistical analysis and predictive models applied to questions with a measurable business outcome.

  • Python
  • Pandas
  • NumPy
  • scikit-learn
  • statsmodels

Database design

Structured databases that keep records consistent and simplify future reporting.

  • PostgreSQL
  • MySQL
  • SQL Server
  • SQL
  • Data modelling

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Turn your idea into a working system

Tell us what you are building. We will respond with how NeoStakk takes it from concept to deployment.

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