DataOps
Data & Analytics.
Requirements and use cases are identified, then data and analytics are built on the cloud.
- Measured servicePerformance is monitored and reported against the KPIs in an agreed SLA.
- On site or remoteMonovi builds, trains and onboards the team beside your core team.
- Microsoft partnerEngineering on Microsoft technologies, cloud, web and native mobile.
- CertifiedISO 9001:2015 quality and ISO 27001:2022 information security management.
The steps
- 1
Strategy
Business processes are refined, enterprise data is collected and analysed, and the strategy is aligned with data-driven objectives.
- 2
Platform
Composable data and analytics solutions are built with cloud platform services such as Microsoft Azure and AWS.
- 3
Governance
Data governance is built so the cost of management stays in view, and analytics becomes a value stream. The scope covers data repositories, a data lake and analytical tools.
- 4
Decision
Data is stored, converted, tested, analysed and scaled. Published tools include Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Azure Analysis Services and Power BI.
Published tools
Azure Data Factory
Serverless data integration. Sources are joined with more than ninety built-in connectors. ETL and ELT can be built without code, or in code. The managed Apache Spark service takes code generation and maintenance. The output goes to Azure Synapse Analytics.
Azure Synapse Analytics
An enterprise analytics service that brings together data warehousing, big data, and log and time-series analytics.
Azure Data Lake
On-demand big-data jobs. Transformations run in U-SQL, R, Python and .NET. There is no infrastructure to manage, and payment is per job.
Power BI
Connects to on-premises and cloud sources, and stays current with incremental refresh. Interactive reports are built on a drag-and-drop canvas, with custom visuals.
Azure Analysis Services
An instance is created in seconds. Existing models move by backup and restore. The service is scaled up, scaled down or paused, and payment follows use.
SAP Analytics Cloud
On the consulting line, SAP Analytics Cloud is named as a single cloud solution for business intelligence, planning and predictive analytics. Monovi’s SAP Analytics Cloud consulting sits with the data and analytics services.
Responsibility
What Monovi takes on in DataOps.
Requirements and use cases come first; then the data platform, integration and analytics are built with the cloud and the company’s priorities.
- Requirements and use-case analysis
- Data platform in the cloud
- Data integration
- Data governance
- Business intelligence and reporting
- Predictive analytics
- SAP Analytics Cloud
Engagement models
Choose how Monovi works alongside your organisation.
- 01Lead model
End-to-end delivery
The full software lifecycle from requirements analysis to go-live, followed by application support, maintenance and change management.
- Requirements analysis, solution design and project management
- Coding, testing and deployment
- Application support after go-live
- Technical documentation and DocOps
- 02
Dedicated & embedded teams
Engineers, analysts and specialists work as part of your core team, on your site or remotely. Monovi builds, trains and deploys the team.
- Capacity for software development, testing and process support
- Scale without restructuring your own staff
- English as the primary business language, multilingual support
- Processes and know-how are documented and stay with you
- 03
Specialist services & consultancy
Track & Trace engineering for regulated industries, data and analytics, corporate AI, and SAP consultancy.
- Track & Trace implementation, analysis and operational support
- Track & Trace regulatory compliance support
- Track & Trace business operations (factory & warehouse) support
- SAP IBP and SAP Analytics Cloud
- Data platform, analytics and corporate AI
FAQ
Questions that our clients ask before deciding.
Where do you start?
With the requirements and use cases; the platform and analytics are built around them.
Is AI work on this line too?
Running AI sits on AIOps; the two lines work together on the same data.
Do you work with SAP?
Yes. SAP Analytics Cloud and SAP IBP are in the published consultancy scope.
Discover
More from DataOps
Next step
Let us make the next step clear.
Tell us what you need, and we will define the right scope together.