Managed Data Services

Reliable Data. Ready for Reporting.

We turn recurring ERP and operational data into clean, validated, reporting-ready information—without the cost and complexity of building an internal data engineering team.We take the recurring data work behind your reports—extracting, cleaning, reconciling, and maintaining data from your ERP and operational systems—so your team gets trusted, reporting-ready information without building an internal data engineering team.

  • Flat-rate managed service

  • No hourly consulting meter

  • No large platform transformation required

  • Start with the data that matters most

Your systems already have the data. Getting it ready is the hard part.

Many organizations have invested in ERP and operational systems, yet management reporting still depends on exports, spreadsheets, manual cleanup and one person who knows how the numbers fit together.

Recurring reports require manual ERP exports and spreadsheet cleanup.

  • Different reports produce different answers for the same business question.

  • Inventory, sales, finance or operational data must be reconciled before anyone trusts it.

  • Reporting projects stall because the underlying source data is inconsistent or incomplete.

  • The organization needs better data but cannot justify hiring a full internal data team.

Managed service economics. Enterprise-grade ETL thinking.

Scalar Solutions' managed data service is built on long-standing experience designing and operating ETL, data integration, reporting and modern data-platform solutions.

Our background spans traditional database and ETL environments through cloud-based data engineering and analytics platforms. That experience matters because reliable managed data is not simply about moving records from one system to another — it requires understanding source behavior, transformations, reconciliation, failure handling and downstream reporting dependencies.

20+ years of data movement and integration

Experience across SQL-based integration, ETL/ELT, enterprise reporting, data warehousing, cloud data engineering and modern analytics architectures.

Operational reliability over tool complexity

We use the architecture appropriate for the client. The goal is not to sell a large platform; it is to produce dependable data that the business can actually use.

Senior technical oversight

Managed services are grounded in hands-on data engineering and platform experience rather than generic outsourced support.

One managed flow from source data to trusted business output.A straightforward way to take recurring data work off your team.

01 CONNECT

Extract

Connect securely to ERP, databases, APIs, operational applications or scheduled files.

02 PREPARE

Clean

Standardize formats, normalize values, remove duplicate conditions and apply agreed business rules.

03 VERIFY

Validate

Check completeness, reconcile key measures and identify unexpected data conditions.

04 OPERATE

Monitor

Run and monitor scheduled processing so the data remains usable as source systems change.

05 CONSUME

Deliver

Provide reporting-ready data for Excel, Power BI, dashboards, automation or other downstream uses.

Different systems. Familiar data problems.

We focus on operational environments where valuable business data exists, but obtaining a consistent reporting view still requires too much manual work.

Manufacturing

When production, inventory, purchasing and finance live in the ERP, leadership still shouldn't have to wait for someone to rebuild the numbers in Excel.

Inventory reconciliation • Sales and backlog • Production reporting • Purchasing visibility

Managed outcome: clean, validated sales, inventory, purchasing and production data that stays ready for recurring reporting and analysis.

Wholesale & Distribution

A distributor can have an ERP, WMS and accounting system and still struggle to answer basic questions about inventory, margin and order performance without manual reconciliation.

Inventory availability • Customer and SKU consistency • Margin visibility • Purchasing

Managed outcome: dependable order, inventory, product, supplier and margin data that is ready for management reporting.

Healthcare Services

Healthcare operators often have the information they need — but it is fragmented across scheduling, billing, practice-management, financial and administrative systems.

Provider utilization • Location consistency • Revenue operations • Executive reporting

Managed outcome: structured, consistently refreshed operational and business datasets for reporting, analysis and management decision-making.

Construction & Specialty Contractors

Job profitability can change quickly, yet project, accounting, labor and purchasing data frequently sit in different systems and reach management too late.

Job cost • Labor utilization • Project finance • WIP reporting

Managed outcome: cleaner project, job-cost, labor, purchasing and financial data for recurring operational and financial reporting.

Predictable cost without hiring a data engineering team.

Managed Data Services are structured around a defined scope and flat recurring service fee rather than open-ended hourly consulting.

We start with the business data domains that matter most and expand only when there is a clear operational need. This keeps the service practical for organizations that need reliable data but do not need a large enterprise data program.

Pricing is based on the overall data process being managed—including source-system access, integration complexity, refresh requirements and the agreed business outputs. We do not price by individual file, feed or pipeline. Specific pricing is provided after a short review of the environment.

Flat-rate managed service

Designed to be competitive with the true cost of recurring manual reporting, ad hoc consulting, or building an internal data function.

  • Defined data domains and deliverables

  • Scheduled extraction and processing

  • Data cleanup and transformation

  • Validation and reconciliation

  • Monitoring and maintenance

  • Reporting-ready output

Common questions

  • Scalar takes responsibility for a recurring business-data process—from extraction and transformation through validation, monitoring and delivery—so your team receives dependable reporting-ready data without operating the underlying engineering process.

  • In many cases, yes. Access may be through read-only database connectivity, APIs, scheduled files, SFTP or other approved extraction methods.

  • Not necessarily. The service is designed to use the minimum architecture required for the outcome. Existing systems remain in place unless there is a specific reason to change them.

  • Yes. Outputs can be structured for Excel, Power BI, dashboards, analytics, automation or other agreed downstream uses.

  • Yes. Real operational data rarely comes from one perfectly structured source. A single reporting process may depend on SQL tables, CSV files, Excel workbooks, SFTP feeds or APIs. Scalar can combine those inputs into a standardized, validated output rather than requiring the business to manage each integration independently

Review My Data Process

Show us one recurring ERP export, reporting process or dataset your team is manually preparing today. We’ll review the current process and determine whether it is a good fit for a managed approach.