ValueXPA Advanced Analytics and Business Intelligence: data warehousing, BI dashboards, finance automation, and analytical process automation for $30–150M industrial manufacturers.
ValueXPA designs and operates the analytics layer that finance leaders need to act on data — from raw ERP exports through to dashboards used in board meetings. We combine data engineering, BI development, and analytical process automation into a single managed offering, so finance teams stop maintaining brittle spreadsheets and start consuming decision-grade outputs.
Data warehouse design, ETL and ELT pipelines, BI dashboards on Power BI, Tableau, and Looker, analytical process automation for repetitive close and reporting tasks, ERP-to-BI connectors, vendor and customer master data quality fixes, and finance automation playbooks tailored to each client's reporting cadence.
Board reporting automation, AR and AP analytics, vendor spend analytics by category and supplier, margin drift dashboards, working capital monitoring, freight and indirect spend intelligence, customer profitability analysis, and category-level cost intelligence for industrial manufacturers and distributors.
CFOs and finance leaders who have an ERP and operational data but cannot get a clean, trusted view of the business out of it. Typical triggers: a new board reporting deadline, a stalled BI implementation, an investor requirement for cleaner data, or recognition that finance team time is being absorbed by manual report production.
BI: Power BI, Tableau, Looker, Looker Studio. Data: Snowflake, BigQuery, Azure Synapse, SQL Server, MySQL/PostgreSQL. ETL: Fivetran, dbt, Airbyte, custom Python pipelines. We work with whatever stack the client already owns and only recommend new tooling when the existing stack genuinely cannot scale.
Fixed-scope build engagement to stand up the data model and first dashboards (typically 4–8 weeks), followed by an optional managed-service retainer where ValueXPA operates dashboard refresh, data quality checks, and ongoing report extension. Onshore client lead with delivery teams across the US, Australia, and India.
Power BI, Tableau, and Looker most often. We pick the platform that fits the client's existing licensing, end-user skill, and IT preferences — we are not tied to one vendor.
Yes. Most engagements use the client's existing warehouse (Snowflake, BigQuery, Azure Synapse, SQL Server). We only recommend a new warehouse when the existing one cannot scale to the analytics workload.
For a focused engagement (e.g. AR ageing + cash flow + board pack), first dashboards typically go live in 4–6 weeks. Broader engagements with new data warehouse and ETL work run 8–12 weeks for the first wave.