Challenges to Enterprise Data Analysis
Decision makers know the importance of data analysis for accurate and faster decision-making processes. However, the traditional on-premises data warehouse and business intelligence tool may not support it. Nowadays, cloud technology is transforming the traditional way of analytics with agility, scalability, cost-effectiveness and machine learning capability by the concept of data lake and self-service analytics. Enterprise can hence cultivate the data-driven culture in the enterprise decision-making process in a timely manner.
| Traditional Analytic Journey | Cloud Analytic Journey | |
|---|---|---|
| Scalability with booming Data Growth | Limited and rigid | Highly scalable with on-demand consumption |
| Data Storage | Typically on-premises Hardware Data Warehouse appliances, mainly for structured data only | Data Lake for both structured and unstructured data |
| Cost | Huge Capex investment |
|
| Approach | Typically ETL | Both ETL and ELT |
| Performance | ETL time is 50% longer compared with Cloud Analytical approach due to limitation of computational power | Significant reduction in ETL and ELT time by scaling of Cloud computational power when needed |
| AI/ML Capability | Limited | AI and ML capability at ease with prebuilt ML model and fast deployment |
Attributes of a Modern Data Architecture
Automated and reliable data ingestion
Preservation of original source data
Lifecycle management and cold storage
Metadata capture
Managing governance, security, privacy
Self-service discovery, search, access
Managing data quality
Preparing for analytics
Orchestration and job scheduling
Reference Architecture on AWS
eCloudvalley’s Data Services
Data Lake & Data Warehouse design and implementation
Data Discovery & Data Modeling
Data Visualization through Tableau
Self-service Analytics portal
Machine Learning
eCloudvalley’s Data Solution
30+ deployments of data solution on AWS
AWS Data & Analytics Competency &
20+ AWS Certification on Big Data Specialty
Team of Data Architect and ML Engineer for your end to end data journey consultation
Success Stories
Analysis Quick Start For Aviation Industry
Including domestic and international destinations, the customer offers 60+ destinations with 3,000+ employees and is one of the top-of-mind low-cost airlines in the country. […]
Consumer Goods Chain Stores for Report Automation & Interactive analysis
A leading Pan-Asian retailer involved in the processing and wholesaling of food and personal products […]
Global Retailers for Self-Service Analytics
A worldwide retail company which is highly diversified across 30+ brands, products, distribution channels and geographies with 50,000+ associates and $10+ billion in revenue. […]