Our Data Analytics and Big Data Services include data engineering consulting, development and support of analytical insights. It helps companies maximize value and achieve business goals. It also helps capture and store big data in real-time. It analyzes it to uncover hidden patterns and unknown correlations.
Chances are that your business is storing loads of black box data—unused information from transactions, connected devices and other sources. Imagine a steady stream of insights to fuel intelligent technologies; 360-degree customer views to boost relevance and revenue; or faster & smarter decisions to accelerate innovation. Our Data & Analytics services can do this for you. We will tailor your solution with the right talent and technologies to suit your industry and business objectives.
In today’s data-driven world, all modern technology platforms reinforce digital transformation. Our data engineering services enable your data strategy access to the right data, at the right time, in the proper format to help you make sense of your data.
We enable our consumers to focus on most critical areas of their operations, instead of building and maintaining in-house IT infrastructure by transferring data to an Enterprise Data Warehouse (EDW). We enable a faster and lower-cost alternative to Enterprise Data Warehouses and reduce the time-to-market on new product offerings. Also, power your data with predictive analytics and visualization solutions.
Our data engineering solutions used in conjunction with Big Data and AI solutions, create indispensable asset for our customers by making sense of diverse data structures and improve the quality, speed, and impact on their business decision-making.
Analysis of Data engineering needs
Big data solution architecture and design, Big data solution development (a data lake, DWH, ETL/ELT setup, data analysis (SQL and NoSQL), big data reporting and dash-boarding)
Validate existing datasets & sources and verifying data quality
Integration and organization of data from disparate source
Cleaning and filtering the data to ensure irrelevant data points are cleared and missing data sets are discovered
Preparing the data for transforming into formats that data analytics teams can use
Setting up of big data governance procedures (big data quality, security, etc.)
Data migration - Transition of data from legacy systems into modern systems
Big Data Analytics
Gadgeon provides analytics services for real-time and stream data ingestion, processing, and analyse the data streams quickly and efficiently for the Internet of Things, monitoring, preventive and predictive maintenance.
Business needs analysis
Data preparation – identify the data sources, perform data collection, transformation and cleansing
Design, develop and test data architectures
ML model design - select optimal data management techniques & methods, criteria for ML model evaluation
ML model development, training, testing and deployment
Deliver data engineering outputs - ready to use insights for business in the form of intuitive dashboards and reports
Breaking down the data silos for production monitoring insights
A leading Print media publishing company with multiple plants across the country..
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Gadgeon Systems Inc
881 Yosemite Way, Milpitas, CA 95035,
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