Data Analytics
Modern data analytics pipelines, interactive dashboards, and AI-powered insights that drive revenue growth and operational efficiency for your business.
Most companies sit on massive datasets but extract less than 20% of potential value. We build analytics systems that turn fragmented data into decisions your team uses daily.
Analytics platforms are usually the foundation for Predictive Analytics and custom Machine Learning. Most engagements are delivered for clients in Financial Services AI Consulting.
Key Statistics
- Companies leveraging modern analytics are 23x more likely to acquire customers and 6x more likely to retain them — McKinsey & Company, The Data-Driven Enterprise of 2025
- 8.5x average ROI on enterprise data analytics investments over a 3-year horizon — IDC Worldwide Big Data & Analytics Spending Guide 2024
- Less than 20% of available enterprise data is currently used for decision-making — Forrester Research, Data Strategy Report 2024
Expert Perspective
"Dashboards don't change businesses — decisions do. We build analytics systems that surface the two or three numbers that should change a leader's behavior this week."
— Colter Mahlum, Founder, Mahlum Innovations
Data Analytics Built & Led By
Colter personally leads every Data Analytics engagement at Mahlum Innovations. Mechanical engineer turned AI builder, he has shipped 11+ production AI systems across manufacturing, wealth management, healthcare, and sports analytics — no account managers, no junior hand-offs. Read full bio · LinkedIn.
Data Analytics ROI for Financial Services Firms
Client lifecycle analytics, asset-flow modeling, and advisor productivity benchmarking for RIAs serving UHNW clients.
Manufacturing Analytics for Earned-Hours and EBITDA Planning
Multi-site executive cockpits that back-solve EBITDA targets into earned hours and headcount ramps per facility.
Healthcare Operations Analytics
Multi-location wellness operations analytics covering payroll, scheduling, and tax compliance in one unified platform.
Related Case Studies
See how we apply Data Analytics in production: browse all 11 real-world AI builds →
Frequently Asked Questions
- How much does a data analytics engagement cost?
- Modern analytics platform builds typically run $40K–$150K depending on data sources, dashboard count, and warehouse complexity. A focused dashboard or KPI suite can ship for $20K–$50K over 4–6 weeks.
- What's the difference between business intelligence and AI-powered analytics?
- Traditional BI tells you what happened. AI-powered analytics adds why it happened (root-cause analysis), what's likely to happen next (forecasting), and what you should do about it (prescriptive recommendations) — all on top of the same warehouse.
- Do I need a data warehouse before doing analytics?
- If you have more than a handful of source systems, yes. We typically deploy Snowflake, BigQuery, or Databricks as the unified analytics layer — without it, dashboards become brittle exports that break every time an upstream system changes.
- How long until executives see useful dashboards?
- Most engagements deliver the first executive-ready dashboard within 4–6 weeks. A complete analytics platform with multiple business domains, governed metrics, and self-serve access usually ships in 3–6 months.
Related Services
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