Businesses need an efficient and agile way to source and consume data

Enterprises today have access to enormous amounts of data from multi-cloud infrastructures. However, their ability to put that data to work is limited due to increasing complexity, poor data management and ill-equipped infrastructure and tools. Overcoming these obstacles requires several things:

• 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.

WE OFFER DATA ENGINEERING SERVICES TO ACCELERATE DIGITAL EVOLUTION

Apexon helps enterprises solve their data challenges, improve end-user satisfaction, and help guide business strategies based on intelligent insights. Our data engineering teams 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 costly and siloed in-house data infrastructure and turning big data pipelines into robust systems prepared for agile business analytics.

List of our Data Engineering Services

Data Collection & Summarization Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database 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, and type of data. Data Modernization & Migration 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 repeatable 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, and others, to process data in batch and real time. Continuous Integration & Deployment 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. Distributed Real- Time Data Processing Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services. Data Quality Automated data quality solutions for critical tasks, including correction, enrichment, standardization, and de-duplication.

Benefits of our Data Engineering Services

Faster time-to-value With accelerators, frameworks, and proven services without compromising quality 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 New Customer & Market Insights Access retail data and integrate market research to gain new insights into consumer behavior and inventory levels User Satisfaction/Empowerment Self-service analytics model for business users and analysts Enhanced Compliance Integrate regulatory and market data to align sales and distribution Increased Sales Leverage online/e-commerce data to fuel sales initiatives