Leveraging AI and machine learning for business transformation

Since 2011, Neal Analytics has leveraged AI, cloud, and data expertise to help tech companies perform better, faster, and more efficiently.

Neal got its start in the technology industry and has evolved its competency to state of the art in AI consulting, data management, and business intelligence. Our unique team has carried forward our deep competency into a varied suite of solutions, where we can leverage our industry expertise to help clients.

These range broadly from development resourcing and assisting with the final push to publish for games to a unique suite of solutions we leverage in assisting with technology go-to-markets.

Our solutions


CustomerIQ is a holistic platform and services solution from Neal Analytics that provides companies with a unified view of their customers. We leverage our expertise in AI and machine learning with Microsoft platforms such as Dynamics Customer Insights, PlayFab, and Azure Machine Learning, to offer an integrated solution that enables dynamic segmentation and improved personalization to drive brand growth and optimize marketing.

Data warehousing

A recurring theme within Neal’s technology customers is a desire to see their data accurately to make better business decisions. We help our customers achieve this by deploying data warehouse assets, pipelines, and unit tests. Neal’s expertise spans across platforms, but we specialize in leveraging our cloud competency to accelerate our customer’s data journeys and produce a more holistic, scalable analytics platform for our customers.

Artificial intelligence

We leverage our AI expertise and partnerships to build and deploy custom-made models and algorithms to create scalable and cost-efficient solutions for real-world business challenges. From troubleshooting to tuning and operationalization, Neal can help your team build more with AI.

Case Studies

Accelerate your migration journey with Neal’s SQL migration automation tool

The need for cloud migration It’s no secret that the cloud is critical in any given organization's digital transformation today....
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Structured streaming from Event Hub using Databricks

Real-time processing or live dashboarding has gained an enormous infatuation in the recent data engineering era to enable data-driven decisions....
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Boost query performance using bitwise operators

In this blog, we explain bitwise operator techniques to boost the storage or compute performance of database queries. It reduces...
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Image Segmentation using Deep Learning

The evolution in IoT (Internet of Things) devices and advancement of edge computing with AI capabilities has laid down convincing...
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Azure Cosmos DB and its common industry use cases

The development of NoSQL database systems like MongoDB (document), Cassandra (wide column), and Gremlin (graph) during the past decade is...
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Tenant-to-tenant Power BI data migration

Power BI has emerged as one of the most used and critical tools in the contemporary world. It has become...
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Dynamic UI for Azure resources deployment using ARM Templates

While offering any solution, the developer needs to be aware of all the resources and their configurations. Also, suppose the...
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How data estate modernization can reshape enterprise data management and accelerate business growth

There’s a lot of data in the modern world. Brands and consumers across all industries engage with various channels and...
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How to create a Custom Metrics Collector Module to visualize a system’s health using IoT Dashboards

An Azure IoT solution often requires implementing the essential portions of the solution directly on the devices using the Azure...
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