Reporting automation
Still exporting CSV files and cleaning spreadsheets for weekly reports?
Automate data collection, cleanup, and report refreshes so recurring reporting takes less manual effort.
Practical help. Experienced engineers.
You don't need the technical terminology or a fully defined project. Tell us what you're trying to achieve, what isn't working, or what takes too much of your time.
From a weekly report to a growing data platform, here are some things you can outsource to Nexusflow.
Discuss a TaskSpend less time preparing reports and more time using the results.
Reporting automation
Automate data collection, cleanup, and report refreshes so recurring reporting takes less manual effort.
Dashboards & visibility
Fix the underlying data quality and refresh pipelines, then improve Power BI or other dashboards so teams can use the results with confidence.
Power BI consultingAI & real-time analytics
Spot changing patterns or unusual activity sooner.
Prepare data for analytics and AI workflows, with anomaly detection and near-real-time visibility to support earlier action.
Get information out of one system and into the place you need it.
Systems integration
Connect the systems and validate the data moving between them, creating a dependable flow instead of repeated manual handoffs.
Microsoft Entra ID integrationDatabase transfers
Move information between systems without manually reformatting and uploading it.
This is called ETL — Extract, Transform, Load. We customize the workflow to extract your data, transform it into the format you need, and load it into the target system. The same setup can also be used for scheduled transfers or periodic backups.
ETL and data pipeline servicesHand off repetitive work and give your team tools that fit the way they work.
Workflow & app delivery
Build focused automations, internal tools, and workflow integrations that move information where people need it.
Make data processes more reliable as your business and data grow.
Reliable data jobs
Keep larger data jobs running reliably instead of failing when the workload grows.
We recommend technologies such as Apache Spark (e.g. Databricks) for larger workloads. Instead of relying mainly on the memory of a single machine like pandas, Spark can distribute the data and processing across multiple machines, making large data transformations more scalable and reliable.
Databricks and Spark consultingData architecture & scale
Build a data foundation that can keep up as your business grows.
Design data lakes, lakehouse workflows, and structured ETL or ELT pipelines for larger volumes and more demanding analysis.
Turn readings from equipment and devices into useful operational information.
Industrial & IoT data
Bring equipment readings into monitoring and reports your team can use.
We connect industrial equipment using Modbus, OPC UA, MQTT, and SNMP, and integrate Kafka streams and APIs to move that data into pipelines, monitoring, and reporting.
BMS data integrationStart with the task in front of you
Tell us what you're trying to achieve. We'll help you figure out the next step.