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OUR EXPERTISE

Modern Data Solutions

Transform your fragmented data into real-time business intelligence

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MODERN DATA

Scalable, Intelligent Data Architecture for the Enterprise

Your data is only as powerful as the architecture behind it. At Improving, we help enterprises modernize and operationalize their data platforms to enable real-time insights, support AI adoption, and fuel predictive decision-making at scale. Whether you're migrating to the cloud, designing a lakehouse, or building pipelines for machine learning, our data experts ensure your architecture is built to move, and built to last.

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Unified Data Foundations

We design modular, cloud-native architectures that unify siloed data, align with business objectives, and support analytics, compliance, and AI use cases.

Real-Time Data Streams

We implement low-latency data pipelines using event-driven architectures that power responsive systems across fraud detection, personalization, and more.

Elastic & Hybrid Environments

Our experts tailor scalable data infrastructure, whether cloud, hybrid, or multi-cloud, using platforms like Snowflake, Databricks, and Azure Synapse.

AI-Ready Infrastructure

We architect ecosystems that support AI workloads, enabling reproducible pipelines, governed access, and smooth transitions from experimentation to deployment.

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WHAT WE DO

Enterprise Data Services Built for Speed, Scale, and AI

We partner with enterprises to turn data complexity into competitive advantage. Our end-to-end services help modern organizations harness, trust, and activate their data, enabling everything from operational intelligence to AI-driven innovation. Whether you're optimizing existing pipelines or starting fresh, we deliver scalable solutions built for real-world impact.

Data Strategy & Architecture

Design scalable, future-ready data platforms that support advanced analytics, enterprise AI, and long-term growth.

Cloud Data Warehousing

Modernize your data stack with high-performance warehousing on Snowflake, Redshift, BigQuery, and more.

Real-Time & Event-Driven Data

Enable real-time analytics and intelligent automation with high-throughput pipelines and scalable event-driven architecture.

Data Lakehouse Implementation

Unify structured and unstructured data with scalable lakehouse platforms like Databricks and Delta Lake.

AI-Driven Data Engineering

Prepare, enrich, and operationalize enterprise data for AI/ML workflows, from feature pipelines to model-ready datasets.

Data Governance & Compliance

Implement robust governance frameworks that enable secure, auditable, and high-trust enterprise data environments.

DataOps & Orchestration

Automate delivery and pipeline reliability with tools like Airflow, dbt, and CI/CD practices for data workflows.

CASE STUDIES

How We Help Enterprises Turn Data Into Outcomes

From cloud-native lakehouses and streaming pipelines to AI-ready data platforms, our teams have engineered resilient, scalable ecosystems that support everything from operational intelligence to machine learning at scale. Explore how Improving has helped enterprises replatform legacy systems, automate data delivery, and enable real-time, decision-ready insights.

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Deployment Automation and Confluent Setup

Learn how Improving automated McKesson's Drug Serialization Repository deployment across 29 distribution centers, leveraging GitHub, Kubernetes, and Confluent Kafka to meet DSCSA compliance.

Confluent
Kafka
Kubernetes
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Modern Real-Time Data Pipelines for Medical Device Manufacturing

Improving partnered with Medtronic to implement real-time data pipelines using Kafka and Confluent, transforming manual data collection into an automated system that enhanced visibility, efficiency, and decision-making in manufacturing.

Kafka
Confluent
Java
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SAP BPC to SAP Analytics Cloud Migration

Learn how NorthRiver Midstream partnered with Improving to modernize its financial planning by transitioning from an outdated on-premises SAP BPC system to SAP Analytics Cloud, streamlining processes and improving efficiency across its gas gathering and processing operations.

SAP
SAP Analytics Cloud (SAC)
SAP S/4HANA
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Thrivent Enterprise Integration Datastore

Improving partnered with Thrivent to develop the Thrivent Enterprise Integration Datastore (TEID), consolidating data from multiple systems to enhance accessibility, enable real-time updates, and improve user experiences across digital platforms.

Confluent
Kafka
AWS
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AI-INTEGRATED DATA

Build the Data Foundation for Enterprise AI

AI initiatives fail without the right data architecture. We help enterprises design secure, scalable data ecosystems built to fuel machine learning, predictive analytics, and intelligent automation. From model-ready pipelines to AI governance frameworks, we bridge the technical gap between data strategy and production-grade AI solutions.

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Ready to Unlock the Full Value of Your Data?

Whether you’re modernizing your data stack, enabling AI workflows, or streamlining analytics delivery, our team is ready to help. Let’s start a conversation about building a smarter, more agile data ecosystem for your enterprise.

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WHY IMPROVING

A Data Team You Can Trust

Our modern data practice combines deep technical expertise with global delivery capabilities. With certified consultants across North America, South America, and India, we support clients with scalable, secure data solutions tailored to regional and enterprise-specific needs. Whether you're modernizing architecture or enabling AI at scale, we bring the talent, tools, and track record to move your data strategy forward.

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Cross-Disciplinary Expertise

We combine deep knowledge in data engineering, AI, cloud, and DevOps to deliver fully integrated, end-to-end solutions.

Certified & Scalable Teams

Our consultants hold certifications across platforms like Snowflake, Databricks, and AWS to scale with your enterprise.

Global Delivery, Local Partnership

With delivery centers across the globe, we offer engagement models that blend proximity, performance, and value.

Enterprise-Focused Approach

We solve complex challenges for Fortune 1000 organizations, aligning every solution to business goals and scalability.

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OUR TEAM

Meet the Leaders Behind Modern Data at Improving

Our data experts bring a rare combination of architectural depth, platform fluency, and domain knowledge across AI, cloud, and analytics. From principal consultants to platform engineers, we’ve assembled a cross-functional team that understands the challenges of large-scale data transformation and knows how to solve them.

Bill Curry

Bill Curry

MSFT Technology Lead, USA

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Ben Kennedy

Director of Consulting

Tim Rayburn

Tim Rayburn

Vice President of Consulting

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Nick Larson

Vice President of Technology

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Scott Poulin

Vice President of Technology

Preston Mesarvey

Preston Mesarvey

Technical Director

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Rich McCraw

Vice President of Technology

Rob Ulaszek

Rob Ulaszek

Vice President of Consulting

TECHNOLOGY STACK

The Data Platforms Powering Modern Enterprises

We build enterprise data solutions using a carefully selected stack of cloud-native platforms and open frameworks. From high-performance warehouses and lakehouses to streaming engines, workflow orchestration, and MLOps infrastructure, our teams integrate the tools that enable real-time insight, scalable AI, and data you can trust.

Cloud Warehousing

Amazon Redshift
Azure Synapse
BigQuery
ClickHouse
Databricks SQL Warehouse
SAP Data Warehouse Cloud
Snowflake
Teradata Vantage
Vertica
CONTACT US

Start a Conversation About Your Data Strategy

Whether you’re planning a platform overhaul, enabling AI use cases, or building real-time data pipelines, our team is here to help. Let’s discuss how we can turn your data into a competitive advantage.