Collecting data on the actual state of business
Business Monitoring is the phase where companies collect customer, product and operational data to create retrospective reports and dashboards on what has happened. Typical questions in this phase are:
What are my best selling products/services ?
Who are my best customer ?
What were sales last year ?
Our services
The more complex organisations become, the greater the amount of technologies that need to be used to obtain unambiguous information from different data silos.
In the business monitoring phase we support customers with our expertise in unlocking, processing, analysing and visualising data from various sources and processes.
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KPI Dashboards
Data Integration
Data Warehouse
KPI Dashboards
A KPI dashboard collects, groups, organises and visualises a company's important metrics and provides a quick overview of business performance.
The objective of a dashboard is not just to fill it with data, but rather to make data understandable. Correct visualisation by means of colour indicators, and placing data in the right business context is of great importance, and stimulates corrective behaviour.
Data integration
Data integration is the process of collecting, combining and structuring data with the aim of obtaining new insights from composite data.
In its most basic form, using Excel to collect data is a first step. Modern organisations that want to update this data automatically and with a higher frequency, opt for specialised ETL / ELT software and databases.
Full Orbit has extensive experience in developing ETL / ELT software and associated methodologies to structure data, such as Inmon, Kimball and Data Vault.
ETL/ELT
Conceptually, data integration takes place in three steps:
Extract
Extracting the data from the various source systems using adapters.
Transform
Converting data from one format or structure into another while being enriched, improved, merged and/or cleansed at the same time.
Load
Loading the transformed data into a new structure in a database or data warehouse, ready for use by reporting and analysis tools.
Depending on where the transformations take place, we speak of ETL or ELT. The first has a separate transformation engine and the other uses the power of the database to perform these transformations.
Data warehouse
A data warehouse is a type of data management system that stores data from various source systems in a centralised a consolidated manner. It is designed to analyse information from different angles and at high speed.
Using a well-designed data warehouse offers many benefits including:
- Consolidated data from various sources
- Well-informed decision making
- Analysis of historical data
- Data quality, consistency and accuracy
- Zero impact on source systems
