DATA & ANALYTICS

DATA ENGINEERING

Insightful business decisions with flexible and scalable data platforms

Talk to us

APEXON OFFERS END-TO-END DATA LIFECYCLE MANAGEMENT — WE ENABLE BUSINESSES TO LEVERAGE DATA FROM TRANSACTIONAL SYSTEMS FOR ALL DATA CONSUMPTION PATTERNS

the challenge

Businesses need an efficient way to source, interpret & consume data

Enterprises today need to be agile, even when saddled with legacy processes and complex multi-cloud infrastructure. Achieving that agility requires several things, such as:

Being able to turn a fast-growing pool of enterprise data into actionable intelligence.
A trustworthy data foundation and enabling analytics supported by insights from a wide range of data sources.
Proper data preparation that allows insights from raw data — for all types of analytics. Insights that are available in context-specific patterns for interactive visualizations, and predictive and prescriptive analytics.

What we do

ACCELERATE YOUR DIGITAL EVOLUTION WITH ENTERPRISE DATA MANAGEMENT

Apexon helps enterprises solve their data challenges, improve end-user satisfaction, and help guide business strategies based on intelligent insights. Our data engineering team analyze structured, semi-structured, and unstructured data with the right technology, processing tools, and approach. In addition, we provide complete data lifecycle management services, replacing our clients’ costly and siloed in-house data infrastructure and turning big data pipelines into robust systems prepared for agile business analytics.

Our Offerings

End-to-end Data Engineering Services

DATA INGESTION

Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database systems or cloud systems, to data scientists and business users for exploration and analysis

Data Storage & ELT / ETL

Extracting, processing, transforming, and loading data techniques into various relational, non-relational, noSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, type of data

Data ModernizationE

An efficient and smart approach for migrating business data to/from on-prem legacy systems into cloud storage infrastructure or new target platforms

Data Pipelines

Building production-grade replayable and independent data workflow pipelines to move, transform and store data using various legacy, big data and / or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse, Informatica, etc., to process data in batch and real time

Data CI/CD

Expertise in legacy and cloud-based deployment services for developing efficient production build and release pipelines based on infrastructure-as-code artifacts, reference / application data, database objects (schema definitions, functions, stored procedures, etc.), data pipeline definitions and data validation and transformation logics

Real-Time Processing

Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services

THE OUTCOMES WE DELIVER

Monetize & maximize the value of data by taking a curated approach

Apexon Data Engineering services deliver significant business advantages:

Faster time-to-value

With accelerators, frameworks, and proven services without compromising quality

business intelligence engineering to fuel sales initiatives

Increased Sales

Leverage online/e-commerce data to fuel sales initiatives

Enhanced Compliance

Integrate regulatory and market data to align sales and distribution

User Satisfaction/Empowerment

Self-service analytics model for business users and analysts

New Customer & Market Insights

Access retail data and integrate market research to gain new insights into consumer behavior and inventory levels

Improved Operational Efficiency

Leveraging operational data to improve efficiency; developing ML/AI use cases to improve sales and operations; access distributor data to get better supply chain visibility, identify gaps, and improve replenishment rates

Our methodology

Reveal
how we do it

Our approach

Apexon uses a consultative approach that combines data engineering, cloud, data privacy, and compliance expertise 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 & Analytics to accelerate the data transformation journey. These include:

M4 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.

enterprise data management framework and strategy

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

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

MIGRATE

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

MoNETIZE

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

iC4^TM

A cloud-native, advanced data analytics platform 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 principals 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.

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.

Key
Partnerships

We can help you accelerate your time-to-market and increase agility with our comprehensive suite of AWS offerings. Industry-best standards and AWS-guided design patterns drive our AWS cloud solutions. In addition, we adhere to a disciplined continuous review process with experienced and talented AWS-Certified resources.

LEARN MORE

Our partnership with Azure helps organizations move to cloud at speed, increasing application availability, technical flexibility, and security improvements.

Monetize your data with the help of Apexon’s end-to-end migration and implementation services for Snowflake Data Cloud. Apexon offers end-to-end migration and implementation services for Snowflake Data Cloud, including design, data preparation, re-platforming, and performance optimization.

LEARN MORE

Why Apexon

END-TO-END DATA
ENGINEERING SERVICES

From strategy and planning through implementation and managed services for clients from various industries

PROVEN
ACCELERATORS FOR
FASTER TIME-TO-VALUE

Accelerators repository for fast-tracking implementations. In addition, Apexon offers a Data modernization toolkit with best practices for accelerating the data monetization journey

UNMATCHED
EXPERTISE

Highly experienced in democratizing data across heterogeneous systems

“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

“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