Data Engineering & Analytics
Acquisition, modelling, warehousing and analysis, ending in a number somebody is willing to sign.
An analytics dashboard is the last two per cent of a data programme. The other ninety-eight is acquisition, cleaning, modelling, lineage, access control and the governance that decides who may change what.
We build that foundation first, then the forecasting, optimisation and decision support on top of it, so that when a figure is questioned in a board meeting it can be traced back to its source in a single step.
Data Engineering, Analytics, Big Data & Business Intelligence
Clause (b) · 5 sub-clauses
The work, as deliverables.
Five things this line produces. Every engagement is assembled from some combination of them.
Clause (b), word for word.
Transcribed from the objects clause of the memorandum of association. Nothing below has been shortened, softened or rewritten. If a piece of work is not described here, we will say so before quoting for it.
- To carry on the business of collecting, acquiring, capturing, processing, cleaning, transforming, storing, securing, mining, analyzing, interpreting, and visualizing structured, semi-structured, and unstructured data from any sources whatsoever;
- To design, develop, implement, manage, and maintain database systems including relational databases, non-relational databases, distributed databases, cloud databases, data warehouses, and data lakes;
- To provide advanced analytics services including predictive analytics, prescriptive analytics, statistical modeling, optimization modeling, simulation systems, forecasting systems, and artificial intelligence-driven decision support systems;
- To develop and operate business intelligence systems, dashboards, reporting systems, and data visualization platforms for organizations and institutions;
- To provide data governance, data security, data quality assurance, metadata management, and data lifecycle management services;