Business Intelligence Companies & Consultants in Madison, WI

MIOsoft Corporation, which also goes by MIO, is a data quality and data analytics firm based in Madison, Wisconsin. Its customers range from small organizations to very large enterprises that need clean, consistent and trustworthy data before reporting, analytics or business intelligence can produce reliable answers. The company pairs its own software platform with a boutique consulting practice, so a buyer can license tools, hand a project to MIO engineers, or combine both approaches.

Software and platform

The core product is MIOvantage, a flexible data platform that MIO's engineers originally built for their own consulting work after concluding that commercial tools on the market fell short. The platform uses unsupervised machine learning, rules that cluster and synthesize records for matching and merging, and a central unifying model for resolving complex entities.

It handles both scheduled batch loads and fast-moving streaming data, and MIO describes it as capable of working at petabyte scale. Supported sources run from Excel and XML files to SQL databases, Hadoop, AWS and legacy IMS systems.

A second product, MIObdt, is a free desktop tool for wrangling and profiling data, aimed at individuals who want to start exploring a dataset on their own.

Services and capabilities

MIO's augmented data quality approach uses AI and automation to find and fix problems with minimal manual effort. Projects typically cover:

• Data profiling, rules-based quality metrics and ongoing monitoring that feeds a client's existing dashboards or alerting tools
• Cleansing, standardization, validation and enrichment, with automated worklists and harder cases sent to people for review
• Multi-domain entity resolution, deduplication across systems and householding
• Real-time match and merge driven by business scenarios
• Reverse engineering older or proprietary source systems
• Data integration, migration, master data management and Customer 360 initiatives
• Graph-based analytics for fraud detection, risk analysis, proactive customer service and targeted marketing
• Custom reporting plus detailed logging and audit trails for traceability

The engagement model is meant to be quick and narrowly scoped. MIO starts by examining what data a client actually holds, not what the client assumes it holds. Small teams then tackle the problem in stages, with set goals and a defined timeline so each project pays off sooner.

As an example, the firm says its engineers put a disaster backup pilot into production in two months, holding all of the client's data and roughly 70 percent of normal business functions. In another case, MIO pulled together a large telecom provider's scattered records for its revenue assurance team and found about $50 million a year in lost revenue.

Background and credentials

The company has been building data solutions for more than twenty years. Gartner named MIOsoft a Visionary in its 2021 Magic Quadrant covering data quality solutions. In Gartner's 2020 Critical Capabilities report for that market, MIO earned the top score in three of the seven use cases, and customers cited in the report pointed to its scalability and performance.

MIO says its technology processes over 1,000 terabytes a day with real-time transaction handling, performs daily entity resolution across more than 500 sources, and has verified financial transaction data from 31 countries. Its main strengths are high-volume processing and deep entity resolution, which suits buyers whose BI projects are held back by fragmented or unreliable source data.