Data Analytics & BI.
Turn the data you already hold into dashboards, reports and models your team can act on. We scope business intelligence, predictive analytics, big-data and AI/ML work around your questions, data sources and privacy obligations.
Start with the outcome you need.
Most organisations already collect more data than they use. We begin with the decisions you need to make, identify where the data lives and how reliable it is, and agree what a useful report or model looks like before any build starts. Pricing depends on data volume, complexity and project duration, and is confirmed in a written proposal.
Turn business questions into useful reporting.
- Agree KPI definitions, intended users and management decisions.
- Review source systems, data quality and integration access.
- Scope dashboards, refresh schedules and report permissions.
- Confirm platform licences, validation and ongoing maintenance.
Tools commonly used in analytics projects.
- Microsoft Power BI
- Tableau
- Python and R
- SQL and NoSQL (incl. MongoDB)
- Apache Hadoop and Spark
- AWS big-data services
- Azure Synapse Analytics
- Google BigQuery
Selection depends on your environment, data and licences; confirmed in the proposal. Product names belong to their respective owners and imply no partnership.
Conversations we can have.
Analytics requirements commonly arise in healthcare, retail, finance, logistics, education and manufacturing. Each engagement is scoped to the organisation's own data and regulations.
From discovery to handover.
Define
Agree the questions, users, KPIs and what decisions the output must support.
Prepare
Locate sources, check data quality and agree access and privacy handling.
Build
Create the dashboards, reports or models and validate them with your team.
Operate
Agree refresh schedules, ownership, changes and support after handover.
What to clarify before you begin.
What data do I need to share first?
Describe the data sources, volumes and the questions you want answered. Do not send confidential records, credentials or personal data in an initial enquiry.
How is analytics work priced?
Cost depends on data size, complexity and project duration. A proposal states deliverables, assumptions and exclusions.
Which tools do you use?
Tools are chosen to fit your environment and licences. The platforms below are commonly used in analytics projects; availability for your project is confirmed in the proposal.
Can you work with our existing systems?
Integration with CRM, ERP and custom applications can be assessed once we know the systems and data formats involved.
NEXT STEPDiscuss your requirement
Tell us what needs to improve and we can discuss a suitable scope.
Talk to DigiVista ↗Related services
Explore all services →Cloud services & migration →Application development →IT consulting & resources →Plan your next step
Data and migration planning →Service fees & quote planner →Bring your business requirement. Let's build the right IT response.
Products, applications and ongoing support—coordinated around your operations.