DATA SERVICES

Managed Data Services

Ensure intelligent data operations with tech-enabled managed services

Managed Data Services
APEXON HELPS ENTERPRISES UNLEASH THE FULL POTENTIAL OF THEIR DATA OPERATIONS THROUGH ROUND THE CLOCK SUPPORT OF UNDERLYING IT SYSTEMS

Managed Data Infrastructure Services
the challenge

ONE SIZE DOES NOT FIT ALL

The need to effectively manage high quality data for operational, commercial and regulatory requirements is growing. However, traditional ITIL support and infrastructure services are not equipped to support these requirements due to inadequate and complex in-house data management systems and a lack of required skillsets to manage such systems.

Modernize data capabilities with managed data and infrastructure services
What we do

APEXON ADDRESSES COMPLIANCE, COMMERCIAL & OPERATIONAL CHALLENGES WITH AI/ML-LED MANAGED SERVICES SUPPORTED BY CLOUD-HOSTED TOOLS

Apexon brings together a full suite of Managed Data Services to support the end-to-end data lifecycle for your business. We help enterprises manage data analytics ecosystems using service catalogues and by enabling managed data curation, ingestion, pipelines backup and archival.

We also support the maintenance of AI solutions and BoTs and help execute enhancement projects to embrace change while ensuring data access, user management, security and data availability. Our skills and experience in different flavors of data technologies such as remote data management, data and analytics, data pipeline development, automation, cloud data management and site reliability engineering complement managed data services offering from every angle.

Our Offerings

End-to-end Managed Data Services

Data Ops
Data Ops
  • Bringing all the distributed analytical, storage, processing, and visualization systems / workloads, under a common pipelined workflow and automating it to deliver fast and time-efficient repeatable deployment frameworks.
  • Utilizing CI / CD, scheduling, security, governance, and monitoring techniques, based on legacy and cloud systems.

MLOps
MLOps
  • Implementing CI/CD, and retraining pipeline for an AI application using DevOps and Machine Learning workflows for training, scoring, deploying, and managing machine learning models at scale.
  • Using MLOps to automatically create workspace, compute resources, ML pipelines and scoring images to be deployed to higher environments. It also helps to register the new efficient trained model as and when the new data comes in, by comparing it with previous models using AutoML techniques.

THE OUTCOMES WE DELIVER

SCALABLE, RESILIENT, AND PREDICTABLE DATA OPERATIONS

Apexon Managed Data Services deliver significant business advantages:

improve operational data efficiency & effectiveness
Increased Operational Efficiency & Effectiveness

Reduce the time-to-market, effort, and complexity involved in creating a modern data infrastructure, and managing the quality of your data. Reduce the effort of standing up teams to measure, monitor, and remediate.

Reduce Compliance Risk
Reduce
Compliance Risk

Support compliance journeys by identifying what data the business has, where it is stored, and who has access. Ensuring critical data is governed, accurate, and up to date.

drive innovation with data
Increased
Innovation

Unravel valuable insights and drive innovation with data at the center. Break organizational silos to extract the maximum value of your data. Frees up resources to focus on higher-value activities.

Our methodology

Reveal
how we do it

Our approach

Apexon uses a consultative approach by combining data engineering, cloud, data privacy, and compliance skills with proprietary frameworks and maturity models to construct a modern data ecosystem. In addition, our flexible resourcing model allows for the rapid scaling of teams through a pod or virtual pod-based approach.

We also leverage pre-engineered accelerators and digital assets across all of our Data Services to accelerate the data transformation journey.

M4 data strategy roadmapM4 Data Strategy Roadmap

A proprietary execution framework for analytics engagements. M4 provides a proven strategy and predictable steps for data modernization. It helps map use cases to modernize architecture and migrate to the cloud while giving all stakeholders a clear view of expectations.

data strategy roadmap

managed data and data infrastructure services
M1
MAP
  • Map business OKRs and IT goals to build a comprehensive view of strategic intent for the program
  • Map current state challenges with strategic goals to showcase critical milestones (Quarterly view)
  • Map Milestones (Quarterly) with specific data assets, data products and capabilities delivered

M2
MODERNIZE
  • Modernize hosting platform, foundation, data products like DQ engine, catalog, lineage, discovery, virtualization, etc.
  • Modernize data architecture and deliver data models for optimized semantic layer, integrated key management process, data pipeline
  • Modernize information consumption capabilities

M3
MIGRATE
  • Migrate legacy data assets onto target state platform as per reference architecture

M4
MoNETIZE
  • Monetize data assets by empowering business users through governed, self-service capabilities to deliver faster insights

IC4 advanced data analytics platform

A cloud-native, advanced data analytics framework that provides intuitive, flexible self-service access to BI, visualization and analytics insights to help business leaders and analysts make smarter, faster decisions. iC4 provides best-in-class tools for the four foundational principles of information management — Curate, Catalog, Context, and Consume. This stepwise approach and architecture allow organizations to capitalize on the benefits of analytics applications without having to build and maintain a huge data warehouse, visualization capabilities, and reporting platforms.

metadata and actionable insights

Data Dip

This framework solves challenges associated with data pipeline validations. It is distributed in the form of deployable code framework which seamlessly integrates with existing AWS data ecosystems.

Our Expertise
WITH THE LATEST CLOUD & ANALYTICS PLATFORMS & TOOLS

Apexon has experience with the leading cloud and analytics tools, and platforms. We take an agnostic and unbiased approach with the goal of selecting the right tools for the organization and environment. We can help you take full advantage of these tools and platforms to maximize your ROI with them.

google cloud

qlik

tableau

colibra

micro-strategy

jupyter

matillion

Why Apexon

COST SAVINGS
& EFFICIENCIES

Our Managed Data Services offer a clear and defined roadmap for Year-on-Year ROI

PROVEN APPROACH
FOR OPTIMAL VALUE

Use of time and industry-tested ITIL methodology for efficiencies

EXPERTISE IN
AUTOMATION

We apply automation from the start, and at every opportunity, to streamline your data management processes and make optimal use of the project resources working on your engagement.

ib
"Leveraging Apexon’s pre-built data services and metadata models, we delivered a cloud-based insurance analytics platform to our partners in five months. Apexon has the right combination of experience, expertise in Industry standard tools and Open Source Tech stack on the cloud."
Byron Clymer
Chief Information Officer, Lockton Companies
city of dublin
“Vamsi, and his team delivered the first pilot in a matter of two weeks, helping us see the end product before we spent any time and money. We are excited about the future of our partnership.”
Doug McCollough
Chief Information Officer, City of Dublin, OH