Services

Data Services

Enterprise data, ready for analytics, AI, and agents

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Apexon combines data strategy, engineering, and governance expertise with AgentRise Lodestone to build AI-ready data platforms on Microsoft Fabric and Snowflake that analytics teams, models, and agents can rely on.
Data Services

Data Services That Make Enterprise Data AI-Ready

Apexon data services prepare enterprise data for analytics teams, AI models, and agents to rely on. Our data strategists, engineers, and governance specialists modernize pipelines, unify data on platforms such as Microsoft Fabric and Snowflake, and put quality and compliance controls in place from the start. Managed DataOps and MLOps keep those platforms current as new AI use cases come online, so the data estate grows in step with the AI roadmap.

Data Modernization Services

Data Engineering and Governance Services for AI and Agents

Models and agents work best with governed access to the right data and clear context about what it means. Our Cognitive Architecture discipline, delivered through AgentRise Lodestone, structures enterprise data and knowledge so AI can use it in production. Data Management & Governance sets the policies, quality rules, and lineage that make AI outputs auditable. Data Engineering builds the real-time pipelines that agents draw on, and Managed Data Services run MLOps so models stay accurate after launch. The services below cover each layer of that foundation, from data strategy and engineering to governance and managed operations.

RegTech

Technology-driven RegTech services, providing seamless regulatory compliance, risk management, and data governance

Apexon’s RegTech solutions provide the tools and expertise to help organizations navigate these challenges. Our scalable, AI-powered solutions automate data aggregation, enhance reporting capabilities, and streamline compliance workflows. With integrated frameworks for data quality, governance, and transaction monitoring, Apexon enables financial institutions to mitigate risk and ensure that they remain compliant with evolving regulations.

Key services include:

  • Data Governance Framework
  • Anti Money Laundering
  • Fraud Management
  • Integrated Risk & Controls Management
  • Cloud Native Credit Referral Platform
  • Automation of Compliance Process
  • API First Architecture to Comply to PSD2
  • Open API to Facilitate Data Sharing and Fintech
  • Regulatory Reporting

Data
Strategy

Chart your data modernization path and discover the future of data in your enterprise.

Apexon uses a comprehensive enterprise data strategy to establish standard methods, practices, and processes to ensure data reusability, sharing, access, accuracy, and portability in a repeatable manner.

Services include:

  • Data assessment and identification
  • Data modeling and consultation
  • Architecture and design frameworks/ blueprints
  • Compliance and regulatory services
  • Roadmap services
  • Data provisioning strategies

Data
Engineering

Insightful business decisions with flexible and scalable data platforms.

Apexon helps enterprises solve their data challenges, improve end-user satisfaction, and help guide business strategies based on intelligent insights. We identify the right technologies, processing tools, and approach and provide complete data lifecycle management services. This includes replacing costly and siloed in-house data infrastructure and turning big data pipelines into robust systems prepared for agile business analytics.

Services include:

  • Data collection and summarization
  • Data storage and ELT / ETL
  • Data modernization and migration
  • Data pipelines
  • Continuous integration and deployment
  • Distributed real-time data processing

Data Management
& Governance

Shift from just ‘Controlling’ to ‘Managing’ your data.

Apexon guides organizations through the collection and collation of massive data sets and helps them build a modern data governance strategy. We ensure that your data is proactively and efficiently managed in a standardized format and can be accessed and used when and where needed. This involves capturing business objectives, analyzing current compliance levels, and minimizing the risk of poor data quality as part of our data strategy services. We also offer end-to-end services to help you achieve your data governance goals.

Services include:

  • Policies, compliance (GDPR) and standards
  • Data ownership and access policies
  • Data security and preservation
  • Data quality control processes
  • Enterprise data management

Data
Visualization

Let your data tell you the story.

Apexon’s Visualization solutions enable businesses to discover data-driven insights in a simple and intuitive manner. We provide the strategy, solutions, and services to bring high volumes of complex data to life to inform the business.

Services include:

  • Visualization advisory, engineering and maintenance
  • Intelligent, interactive dashboards
  • Data exploration and self-driven BI

Managed Data
Services

Improve your data operations and core business functions without worrying about underlying IT infrastructure.

Apexon brings together a full suite of Managed Data Services to support the end-to-end data lifecycle of your business. These encompass data acquisition, data cleansing, data consolidation, data storage and data distribution of business-critical functions, pricing, and corporate actions data — everything you need to realize the full potential of your data.

Services include:

  • Data Ops – bringing all related data systems under a common pipelined/automated workflow
  • MLOps – training, scoring, deploying, and managing machine learning models at scale

Data and Analytics Success Stories

Modernizing Healthcare Data with Microsoft Fabric for an Urgent Care Network of 80+ Clinics

Transforming Global IT Asset Intelligence with Apexon’s Modern AWS Data Platform

What Our Customers Say

Mark Fleishman

Through our partnership with Apexon, we have been able to achieve many goals. One is to get our platform built with speed by helping our engineering teams and then we have also achieved our infrastructure goals of ISO certifications. Apexon team is helping us deploy the platform even faster from two or three times per week to five or six times a week.

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Mark Fleishman
VP of Infrastructure and Operations, Paige
Seattle Bank
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Yatin Pradhan

Their(Apexon) attention to detail and continued focus on CD Valet has kind of proved that we made the right decision and we have expanded from one team to multiple teams. We are surveying about 31,000 CD rates on a weekly basis and Apexon plays a very important part in that process.

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Yatin Pradhan
VP, Product Management, Seattle Bank
Seattle Bank
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FAQ’s – Data Services

Data and analytics services are a suite of solutions that help organizations collect, process, and interpret vast amounts of structured and unstructured data to drive better decision-making. According to a recent Gartner report, over 70% of businesses will increase investments in data and analytics by 2026, reflecting the growing demand for actionable insights. These services go beyond basic reporting by applying advanced techniques like predictive analytics, machine learning, and AI-powered modeling—enabling companies to uncover trends, improve customer experiences, and create measurable business value.

Data and analytics can significantly enhance business performance by providing actionable insights into customer behavior, market trends, and operational efficiency. By analyzing data, businesses can identify opportunities for growth, reduce costs, and make data-driven decisions that align with their strategic goals.

Leveraging data and analytics in decision-making helps businesses reduce uncertainty, improve accuracy, and enhance the speed of decisions. This leads to better outcomes, more efficient operations, and a competitive edge in the market.

Advanced analytics plays a crucial role in modern business by enabling predictive modeling, machine learning, and AI-driven insights. These techniques help organizations anticipate future trends, personalize customer experiences, and optimize operations based on data-driven predictions.