ABOUT US
A History of Data Solutions
We have over 30 years of experience designing custom queries, reports, and data solutions for organizations of all sizes. We specialize in personalized analytics projects and are ready to support your data needs—whether large or small.
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Your organization’s data is unique, like a fingerprint. That’s why off-the-shelf tools and generic AI solutions can only go so far. We identify data gaps, clean and integrate your information, and deliver meaningful insights your team can act on with confidence.
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From complex database queries to polished reports, spreadsheets to interactive dashboards, we turn raw data into clear decision-making tools.
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Let’s discuss how we can support your next data project.
Explore Our Expertise.
We Engage With Your Requirements
Who We Help:
• Small & mid-sized businesses
• Non-profits
• Operations teams
• Organizations without in-house data teams
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1
Data Readiness Assessment
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Is your data ready for accurate queries, reports, analytics, and AI? Know where you stand before investing in solutions. An assessment can be performed as a stand-alone engagement or the foundation for higher-tier services.
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2
Data Cleaning and Correction
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If your data needs cleaning, validation or reconciliation, we can help. Incorrect data can lead to costly mistakes. Working with your DBAs and security team, we can repair and return your data without touching your critical applications.
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3
Data Enhancements
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We can improve access to your data by building a "semantic layer". In plain English, that means we give your data user-friendly nicknames to make it easier to understand. In addition, we can create new fields from existing ones - calculations like "distance from hub" using zip codes or "net profit" vs. "gross" using pricing and expenses.
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4
Report Creation
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We prepare Excel, Power BI, Tableau, or other reports - depending on your systems and requirements. These reports are tailored to your needs and customized to your data.
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5
Patterns, Trends, Recommendations
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Your data is clean. Now we dig deeper using Python for analytical modeling.
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Which customer characteristics/ behaviors suggest a readiness to buy? Do product reviews trend positive or negative? Is the new product an outlier or just a little unusual?
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6
Advanced Tools / Artificial Intelligence
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There's so much hype, you may be wondering what's smoke and what's real. The answer is, it's a mix. Here's the good news: if you want to understand what's possible for your own data, we can help.
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CLIENTS SAY
Data Success Stories
“Alpha Northeast built a custom automated data pipeline that gathers pricing intelligence directly from web APIs. The system is reliable, efficient, and gives us a significant advantage by identifying market opportunities faster. As a result, we've improved operational efficiency and widened margins in a highly competitive market.”
C.S. - Online Retailer
“Karl rebuilt our core dashboards, improving performance and accuracy while virtually eliminating ongoing maintenance issues. The supporting documentation he created made the system sustainable and easy for our team to manage.”
D.C. - IS Director, Higher Education Sector
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“Karl consulted as a Python Developer focusing on data science and machine learning projects. His work enabled the team to successfully complete a production pipeline for a machine learning model. Karl’s expertise in the application of complex concepts and algorithms within python was pivotal to the success of the project. He was also able to visualize and explain his process and results concisely to several audiences which was greatly appreciated."
L.C. - Engineering Mgr., Health Insurance Sector
