Data Engineering
Data engineering and analytics services ensure smooth and rapid movement of data – from its origin to places of consumption, with minimum distortion.
Organizations can make qualified, data-driven decisions for driving business outcomes including revenue generation, customer experience and operational efficiency.
With a ton of options available to perform this process, organizations are stumbling their way through their architectural decisions. And more often than not, the ‘obvious choice’ need not be the right choice for your business.
Architecture Analysis
- Analyzing the app and its needs along with business requirements
- Consulting on improvements and automation
- Building a plan for on-prem to cloud migration
- Designing solutions for a cloud-native app
- Creating an infrastructure upgrade roadmap
- Getting an action plan on future improvements.
Architecture Improvement
- Implementing best practices and automation processes into the existing infrastructure
- Automating all manual processes with CI/CD pipelines to reduce the cost of operation and minimize human errors
- Building robust and scalable infrastructure including on-prem integration on demand
- Implementing serverless solutions to reduce the cost of infrastructure and improve the overall performance of the application.
Data Mining
Data Miner enables data scientists, “citizen data scientists,” and business and data analysts to work directly with data inside the database using a graphical “drag and drop” workflow editor. CloudWin Corp Data Miner , an extension to CloudWin Corp Developer, captures and documents in graphical analytical workflows the steps users take while exploring data and developing machine learning methodologies. ODMr workflows are useful for re-executing analytical methodologies and for sharing insights with team members. ODMr generates SQL and PL/SQL scripts and offers a workflow API for accelerating model deployment throughout the enterprise.
Classification analysis
This analysis is used to retrieve important and relevant information about data, and metadata. It is used to classify different data...
Anomaly or outlier detection
This refers to the observation for data items in a dataset that do not match an expected pattern or an expected...
Clustering analysis
The cluster is a collection of data objects; those objects are similar within the same cluster. That means...
Regression analysis
In statistical terms, a regression analysis is the process of identifying and analyzing the relationship among...
Data Visualization
Data visualization consulting helps reveal critical data to business users via intuitive visuals. CloudWin Corp consultants enable data visualization for customers to spot trends, track business goal achievements, compare the performance of various categories, products, brands, etc.
Data Visualization Challenges We Solve
Not insightful reports and unanswered ‘Why?’
We make data visualization an indispensable part of the reporting process and enable decision-makers with the drill-down and filtering options to answer their business questions quickly.
Overloaded reports and dashboards
We design reports and dashboards ensuring that trends or outliers are recognized immediately, colors are relevant and chart types are consistent.
Disregarded user roles
We tailor reports and dashboards so that every user can focus on relevant data.
Limited reporting flexibility
We enable visualization of analytics insights on all devices – PC, mobile, large screens. We can also add BI capabilities to your existing solutions.