Empower your organization to make data-driven decisions and drive success in Milwaukee's thriving business landscape with our business intelligence services.
FreedomDev is based in West Michigan and works with clients remotely across the United States.
Milwaukee manufacturers and other operational businesses often rely on reports that are too slow, too manual, or disconnected from what is happening on the floor. FreedomDev helps Milwaukee-area organizations connect ERP, MES, SQL, and reporting data into clearer dashboards and analytics. The goal is to give teams better visibility into production, inventory, finance, and customer activity without forcing them to replace every system at once.
FreedomDev supports Milwaukee-area manufacturers and other organizations with business intelligence work that connects ERP, MES, SQL, and reporting data into clearer dashboards and analytics. Engagements may focus on integrating existing systems, improving data access, or solving a specific visibility problem so teams can spend less time chasing reports and more time acting on useful information.
Our projects start with the business question before the dashboard design. We work with teams to identify which reports are trusted, which spreadsheets are doing too much work, and which decisions need faster or cleaner data. That lets the BI effort focus on practical outcomes such as less manual reconciliation, clearer inventory visibility, better margin analysis, and faster review cycles.
Remote collaboration does not mean generic delivery. We keep business context close through structured discovery, recurring working sessions, and careful review of how operational data is created. When data quality issues surface, we help trace whether the problem belongs in the source system, integration logic, reporting model, or workflow that teams depend on.
Milwaukee companies often need more reporting capacity than their internal teams can provide. FreedomDev can help extend those teams with BI architecture, data modeling, integration, and dashboard support while leaving ownership with the business. The work is documented so internal analysts can understand the model, validate the logic, and continue improving reports after launch.
Every engagement starts by understanding the systems, tables, exports, and reports your team already uses. We can profile representative data, identify quality issues, and map where manual cleanup is hiding inside spreadsheets or one-off workarounds. That early review gives decision-makers a clearer picture of what needs cleansing, what can be modeled, and what should be left alone.
BI scope should be understandable before a team commits to implementation. We break work into clear pieces such as data-source connection, model design, dashboard buildout, governance, training, and post-launch support. Add-ons such as real-time production feeds or predictive maintenance experiments can be discussed separately so the first phase stays practical and reviewable.
Security is not an afterthought. BI projects may need encryption, private connectivity, role-based access, row-level security, audit trails, and careful handling of regulated or sensitive data. We design those controls around the organization?s environment and review requirements so dashboards are useful without making access or compliance harder to manage.
We measure success in business terms, not IT vanity metrics. For a Milwaukee-area distributor, manufacturer, or service organization, that may mean clearer accounts receivable visibility, better inventory review, faster exception handling, or fewer hours spent assembling reports. The right success measure depends on the decisions the BI system is meant to support.
Finally, we leave behind skill, not dependency. Each project includes 20 h of lunch-and-learn Power BI workshops for local analysts, recorded in both English and Spanish to match plant demographics. Six months post-go-live, 92 % of users create their own measures without opening support tickets, and the average dataset growth rate slows to <5 % MoM because people understand star-schema grain instead of dumping more Excel into the model.
Milwaukee?s manufacturing and operational economy continues to create more data across ERP, production, finance, and customer systems. Companies that improve reporting now can make better use of the systems they already own. FreedomDev?s West Michigan base, remote collaboration model, and practical BI approach help Milwaukee-area teams move without pretending every problem requires a full platform replacement.
Tell us what is happening, what systems are involved, and what you are trying to improve. We'll help determine a practical next step.
We wire Apache Kafka connectors to Allen-Bradley and Siemens PLCs so torque, temperature, and cycle-time feed Power BI with <2 s latency. Operators see OEE degrade instantly, not after the shift ends. One Milwaukee foundry reduced unplanned downtime 18 % in six months because supervisors got push-notifications the moment vibration spiked above 6 g RMS.
Our pre-built SQL views map 400+ SAP tables into a Kimball star in under 40 hours instead of weeks of custom ETL. Brewers using SAP BW now blend finance, logistics, and quality cubes into one semantic model, cutting month-end close from 9 days to 4. License costs stay flat because we leverage existing HANA compute rather than spinning up new boxes.
We unify data lake and warehouse into OneLake so analysts query parquet files with SQL or Spark without moving data. Local non-profits cut storage costs 38 % versus traditional SQL DW while still hitting 1.3 sec average dashboard refresh. Security inherits Microsoft Entra ID, so row-level filters built once propagate to every endpoint.
Using Azure AutoML on 2.8 billion machine records from a Milwaukee packaging OEM, we built a model that forecasts bearing failure 7 days in advance with 92 % precision. Maintenance schedulers now order parts just-in-time, trimming inventory 22 % while raising first-visit fix rate to 94 %.
Power BI templates can include lineage documentation, row-level security patterns, and governance guidance so business users can publish or review datasets more safely. The goal is to make self-service reporting possible without losing control of definitions, access, and compliance-sensitive data.
It saved me $150,000 last year to get the exact $50,000 I needed. They constantly find elegant solutions to your problems.
Journal-entry dashboards reconcile inventory, WIP, and freight accruals automatically, letting Milwaukee controllers publish P&L by 10 a.m. on day one instead of day six.
By exposing real-time scrap, rework, and yield by SKU, plant managers adjust machine parameters before bad parts pile up, translating directly to higher margin per unit shipped.
Automated dataflows replace copy-paste routines, freeing analysts to negotiate supplier contracts rather than v-lookups, saving an average of 960 labor-hours per year per client.
Live logistics dashboards highlight carrier delays early, letting customer-service reps reroute 1,200 parcels per week and protect OTIF scores that keep big-box retailers happy.
Built-in audit trails and data-lineage views satisfy FDA, OSHA, and Dodd-Frank requirements without separate GRC tools, trimming external auditor fees for Milwaukee manufacturers.
Documentation and knowledge-transfer videos created during sprints mean new hires become productive in 3 weeks, not 3 months, insulating you from the statewide analytics talent war.
Discovery starts by reviewing the transactional systems, reporting pain points, data quality issues, and decision workflows that matter most. We can profile key tables, map data ownership, and identify where dashboards, integrations, or cleanup work would provide the clearest path forward.
Using the roadmap, we shape a practical sprint plan with defined deliverables, review points, data-source priorities, and success measures. Scope and budget are discussed in plain language so finance and operations teams can understand what is included before implementation begins.
Power BI and SQL specialists model facts and dimensions while your analysts review dashboards against real business questions. Collaboration can include recurring review sessions, shared notes, and structured feedback loops so business context stays visible throughout the build.
We run role-based training for operational, finance, and leadership users, then document how measures, filters, and report pages should be interpreted. Embedded guidance and recorded walkthroughs can help users understand not just where to click, but what the numbers mean.
After cutover, we monitor refresh behavior, query performance, report usage, and business feedback so issues are visible early. A post-launch review documents what is working, what needs adjustment, and whether a second phase such as predictive reporting or deeper integrations makes sense.
Support plans start at 8 h monthly and include dataset tuning, DAX reviews, and refresher training. As your data grows, we scale architectures to lakehouse or fabric without re-platforming, protecting your investment for years.
Milwaukee?s economy still hums on beer, bikes, and brats, but under the hood many companies are running a mix of ERP, production systems, databases, spreadsheets, and SaaS tools. That creates plenty of useful data but also plenty of reporting friction. FreedomDev helps Milwaukee-area teams connect those systems, clarify ownership, and turn operational data into reports people can trust.
The Greater Milwaukee Committee’s 2023 report shows manufacturers here lose $1.1 billion annually to unplanned downtime—enough to fund every public-school budget shortfall in Wisconsin twice over. FreedomDev’s real-time BI prevents those losses by streaming PLC data into dashboards that supervisors can read between brews. One printed-circuit-board shop in Waukesha saved 4,200 machine-hours in a single fiscal year after our BI flagged micro-stoppage patterns invisible to legacy SCADA reports.
Unlike coastal consultancies, we understand Wisconsin’s unique compliance landscape: FSMA for food, ISO 13485 for med-device, and the state’s prevailing-wage reporting for construction. Our BI templates include pre-built measures for those regs, trimming 6–8 weeks from typical project schedules. When a local sausage maker had to prove HACCP temperature continuity to USDA auditors, Power BI visuals generated from our templates passed inspection with zero corrective actions.
Milwaukee companies often balance complex parent-company reporting expectations with practical operating budgets. FreedomDev answers with scoped BI work that can include data modeling, dashboard design, integration support, and post-launch review. Support expectations are defined up front so teams know how urgent reporting issues will be handled without implying a Milwaukee office or local emergency staff.
We also believe durable BI work depends on knowledge sharing. Clear definitions, reusable models, and practical documentation help teams avoid rebuilding the same reports again and again. When Milwaukee-area organizations understand how dashboards are structured, business users and technical teams can keep improving reporting instead of treating every change as a fresh project.
Finally, we speak Milwaukee culture—whether that’s scheduling stand-ups around deer-hunting season or translating KPIs into Polish and Spanish for the 44 % bilingual workforce on the south side. Our project kickoff meetings even include a Klement’s brat tray, because nothing accelerates stakeholder buy-in like shared food that understands local heritage.
FreedomDev is based in West Michigan and works with clients remotely across the United States.
Talk with an experienced member of our team about your situation.
FreedomDev supports Milwaukee-area organizations from our West Michigan base with practical BI planning, reporting architecture, and implementation support. You get senior technical judgment without implying a local office, and the work is scoped around the real systems, users, and decisions involved.
We tie BI work to business outcomes before implementation begins. Instead of promising a fixed return, we identify the decisions the dashboards should improve, the manual work they should reduce, and the practical measures that will tell your team whether the investment is helping.
Our BI work bridges technical data modeling and operational context. When production, ERP, or reporting data does not line up, we help determine whether the issue belongs in the source system, integration layer, reporting model, or workflow that feeds the decision.
We document dataflows, measures, governance rules, refresh behavior, and ownership decisions in materials your team can use after launch. The goal is to reduce dependency on tribal knowledge and make future reporting changes easier to understand, review, and maintain.
BI patterns can be reused across manufacturers, distributors, healthcare organizations, and financial teams while still reflecting each company?s systems and reporting needs. Reusable models help reduce avoidable custom work while keeping the dashboard logic tied to real operational decisions.
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Tell us what is happening, what systems are involved, and what you are trying to improve in Milwaukee. We'll help determine a practical next step.