Kezan Inc,16192 Coastal Highway, 19958, Sussex, USA
usa@kezanconsulting.com +1 3025979044

AI/ML & Deep Learning

Delaware and New Jersey, collaborate with businesses to incubate and implement solutions leveraging Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning algorithms. We help you reinvent your business offerings and workflows.

Analytics & Business Intelligence(BI)

Our Business Intelligence (BI), Analytics, and Visualization experts utilize advanced processes and technologies to transform raw data into actionable insights. We provide meaningful information that enhances strategic and operational decision-making.

MDM & Data Warehousing

A Data Warehouse is not merely a product but an environment—a complex architectural construct of an information system. We design and maintain solutions that offer both current and historical decision support information, overcoming the limitations of traditional operational data stores.

Enterprise Cloud Software Development & Data DevOps

Custom solution development leveraging software languages like Java, Scala, Python, Go, and Erlang, tailored to support big data search, storage, and computation frameworks. We also provide DevOps support to optimize and maintain your data pipelines.

How can we help You?

AI, ML & Deep Learning

Re-Invent Your Business With AI & Learning

Your business needs Artificial Intelligence (AI) now more than ever. AI is becoming essential across industries, from banking and telecom to healthcare, fitness, and travel. By leveraging data, industries are building cognitive solutions that identify trends and deliver insights to enhance workflows and customer experiences. From smart chatbots revolutionizing customer service to mobile apps offering personalized lifestyle recommendations, AI is driving businesses to meet 21st-century consumer expectations. Our data consultants, skilled in statistical analysis and data wrangling, use cutting-edge tools, algorithms, and technologies to model and achieve your business outcomes.

R, Python, Julia Programming94%
Statistics & Machine Learning 97%
Smart Apps
TensorFlow92%
Keras90%
Torch.AI89%
Google's AutoML83%
Learning From Data
Caffe288%
Theano78%
Pandas97%
Azure ML92%
Analytics & Business Intelligence(BI)
Stop Judging BI Platforms On Their Data Visualisation Capabilities

usiness Intelligence (BI) platforms like Tableau and Qlik are now evaluated beyond their data visualization capabilities, which have become standard across most platforms. Today, the focus shifts to:

  • Integrated support for enterprise reporting capabilities
  • Pre-set analytics

At Kezan Inc, we specialize in transforming data into actionable insights. We design and build dashboards, perform ad-hoc analyses, and create templates or APIs for easy access. When recommending and implementing a BI solution, we consider:

  • Self-Service BI
  • Data Visualization
  • Analytics
  • Connectivity to Multiple Data Sources
  • Data Blending
  • Rich Dashboards
  • High Security
  • Cloud vs. On-Premise Deployment

Our goal is to ensure that your BI solution not only meets current needs but also scales with your future requirements.

Microsoft (Power BI)97%
Tableau95%
Qlik95%
Looker85%
Salesforce81%

BI & Commerce

  • Suppliers
  • Customers
  • Employees
  • Inventory Management
  • Marketing Analytics
  • Pricing Optimization
  • Demand Forecasting

BI & Travel, Transportation

  • Supply Chain Information
  • Inventory Management
  • Product and Service Performance
  • Competitor Pricing and Positioning
  • Package Tracking
  • Flight and Travel Activities
  • Scheduling
  • Billing and Passenger Details
 
 
 
 

BI & Finance

  • Portfolio Performance Analysis
  • Fraud Detection Models
  • Ratio Analysis
  • Risk Assessment Models
  • Collection Strategies

BI & Healthcare

  • Hospital Data Management
  • Medical Practice Workflows
  • Patient Relationship Management
  • Clinical and Financial Data Analysis
  • Research Data Management
  • Health and Safety Regulation Monitoring
MDM & Data Warehousing

We Manage & Migrate Traditional Warehouse To Hybrid/Cloud Native

History shows that a modern data warehouse must integrate the scalability and cost-efficiency of cloud architecture, the flexibility of NoSQL technology, and the robust capabilities of traditional data warehouses.

70%

Default Sample Title

Dimension, Conceptual Model, Logical Model, Physical Model, Inmon Approach, Kimball Approach, OLTP, OLAP, Star Schema, Snowflake Schema, ETL & ELT, Data Mart, Enterprise Data Warehouse
85%

Data Lake

Dimension, Conceptual Model, Logical Model, Physical Model, Inmon Approach, Kimball Approach, OLTP, OLAP, Star Schema, Snowflake Schema, ETL & ELT, Data Mart, Enterprise Data Warehouse
95%

Cloud Data Warehouse

Serverless Service, Colossus File System, Dremel Execution Engine, Data Sharing, Streaming Data #Snowflake, #AWS Redshift, #Google BigQuery
86%

MDM & Customer 360

Master Data Management (MDM) solutions built on cloud data warehouses that ingest near-real-time data from multiple sources, including IoT. Features include data de-duplication, a single customer view, and Data as a Service (DaaS) accessible via APIs.
Enterprise Software Development & DevOps

Cloud Data Engineer & DevOps Profiling

Big Data Engineers: Our team designs and implements real-time, event-driven architectures, sets up and manages big data clusters, and handles data ingestion. They generate and present data catalogs from metadata repositories and support self-service data consumption in Spark/HDFS Data Lakes hosted on AWS, Azure, or GCP using Cloudera or Hortonworks distributions.

DevOps Engineers: Our DevOps team scales and manages data architectures developed by engineers. They have expertise in high-scale, low-latency NoSQL technologies within agile environments. Passionate about new technologies and statistical models, they optimize the management of multiple database clusters, numerous hosts, and millions of operations per second. They continuously maintain and enhance software to support scalability.

Engagement Model
$/report

Maturity Scans

Short Term

✓ AI & Data-Driven Organization
✓ Cloud-Native Data Warehousing
✓ Data Security
✓ BI Tools Selection

$/hr

Consulting

Monthly

✓ DataOps Powered Customer Data Hub
✓ Data Architecture & Software Development
✓ Data DevOps
✓ Data Wrangling
✓ AI & Machine Learning

$/project

Managed Services

Annually

✓ Cloud-Native AI & Data Science Lab
✓ 24/7 Data Platform Management
✓ BI Reporting & Dashboarding
✓ Test Data Management