DATA & ANALYTICS

ADVANCED ANALYTICS AND AI/ML SERVICES

Leverage the latest data techniques to accelerate digital initiatives and maximize business outcomes

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Apexon helps enterprises maximize the value of complex data ecosystems with its Advanced Analytics and AI/ML services

Advanced Analytics Services & Solutions Company

The Challenge

In Digital, Data Is Power – But Only If You Can Take Advantage of It

Enterprises today have access to enormous amounts of data, but the ability to put that data to work for the benefit of the business is constrained by increasing complexity, poor data management, and ill-equipped infrastructure and tools. These shortcomings can be critical stumbling blocks for many digital transformation initiatives.

Advanced analytics, AI, and machine learning (ML) offer significant breakthroughs to address these obstacles, but taking advantage of these technologies requires unique tools and skillsets.

Data Analytics, Artificial Intelligence (AI Services) & Machine Learning Solutions

What we do

Harness the Power of Modern Analytics with the Latest Digital Technologies

Apexon provides consulting, engineering, and packaged software solutions covering the entire spectrum of data application and management — business, financial and technical. Our solutions are based on deep mathematical and statistical foundations and state-of-the-art techniques, including deep learning, machine learning, neural networks, and natural language processing.

We tailor these solutions to your needs, leveraging both on-premise and cloud infrastructure while leveraging the latest AI tools and methodologies to create practical applications that provide the insights needed to enhance customer experiences, accelerate product lifecycles, improve resource allocation, and increase operating efficiencies.

Our Offerings

END-TO-END ADVANCED ANALYTICS & AI/ML SERVICES

Data Science

Extract knowledge and insights from noisy, structured, semi-structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains for analysis and processing

Present results to reveal patterns and enable stakeholders to draw informed conclusions

Personalized Workbenches

Data discovery, wrangling, model-building, model management, model consumption, visualization and workflow management in an integrated platform to accelerate the data science lifecycle

Natural Language Processing (NLP)

Use NLP algorithms to provide smart and self-learning systems that can extract information and insights contained in the NLP system as well as categorize and organize the systems themselves

Machine & Deep Learning

Use ML algorithms to identify patterns and regularities and classify data using statistical information derived from patterns and representation

Statistical & Predictive Forecasting

Forecast and predict opportunities, customer behavior as well as financial, economic, and market risks of future unknown events, by processing historical data using statistical algorithms

Cloud AI Services

Accelerating and managing ML model development and deployment lifecycles, using real time and batch data processing AI/ML use cases and various cloud machine learning features like AutoML, Hyperparameter optimization, cloud-based cognitive, bot services and MLOps techniques

THE OUTCOMES WE DELIVER

Advanced Analytics for Deep Business Insights

end-to-end data consulting & applications implementation

Free Up Data Scientists to Work on Higher-Value Analytics Activities

Instead of dealing with the complexities of DevOps and data engineering

Increased Compliance, Reduced Costs

Identify and prevent potential legal issues and fines before they become a problem – especially in highly regulated industries like healthcare and financial services

Better, More Informed Decision-Making

As a result of more manageable data and more timely access to critical data

Improved User Experiences

Detailed SLA analytics highlight gaps in customer service and support

Lower TCO for Data Management

Via more automated systems, reduced storage requirements, and application/service licensing

Faster Data & Operational Speed

Feed better data quality into business workflows and gain a more accurate understanding of actual operational performance

Future Innovation, Competitive Advantage

Predictive analytics provide insights into emerging trends, focus on future development and innovation initiatives

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.

advanced analytics services and solutions

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.

Health Data Analytics Platform (HDAP)

HDAP acts as a data accelerator for companies in the healthcare ecosystem — enabling them to harness their healthcare data assets more effectively. Specific use cases include:

Supporting standard healthcare data models such as OMOP for persistent healthcare data, enabling normalization and longitudinal data representation
Providing ready code for processing standard healthcare data types (HL7, CCDA, DICOM, FHIR, labs, known EMRs)
Streamlining regulatory healthcare reporting, KPI calculations and leveraging data for research

Enterprise Data Analytics Platform (EDAP)

EDAP helps organizations shift their mindset to be more data-driven and less pure business – or process-centric. EDAP manages the entire lifecycle of data all the way through delivery — including data ingestion, lake, process, analysis, and visualization – and connects data, technology and business in one single unified analytics platform.

Sentence Similarity Engine

Apexon leverages a Sentence Similarity Engine as part of its Natural Language Processing capabilities. This allows us to analyze unstructured content in the form of text and documents to compute semantic similarity and unearth new data insights.

Analytical Reference Architecture for Insurance

To help accelerate data design process by providing guidelines and options to develop specific architectures and the implementation of solutions resulting in faster time-to-value.

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.

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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.

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Why Apexon

Deep Data Analytics
Experience

20+ years of team experience in delivering large, multi-tenant, heterogeneous enterprise data assets, including ML/AI platforms

A Structured
Methodology – M4

We use a proven, predictable and consistent methodology to guide the data modernization process, developed from decades of data and information management experience

Foundational
Data Principles

We apply the foundational principles of data, or “The 4 C’s” – to every data analytics engagement: Curate, Catalog, Context, and Consume. These four principles are critical for every organization to get their data analytics initiatives right

Increased Adoption
of Data Solutions

Our visual storyboards give deep insights into customer behaviour for a more personalized customer experience