Custom Data Warehouse

DiLytics built a custom Analytics solution at one of its clients, in a short span of 150 days. DiLytics built this Analytics solution on a relational Star Schema Data Warehouse from scratch, enabling business users to get global visibility into Booking, Billing, Inventory, Backlog and Forecast, Drilling down into sales order, item, and lot detail level. DiLytics implementation team integrated data into the Data Warehouse from multiple source systems, e.g. Oracle EBS, Homegrown MySQL ERP, Flat files to deliver the required Supply Chain metrics. Business users used to rely heavily on IT to perform data analysis. This Analytics implementation empowered users to make timely decisions and improve Supply Chain efficiency.

Reasons for Implementing Analytics on a Custom Data Warehouse:

Our Analytics solution can be implemented within a quick time to market for faster return on your investment in deploying this product.

  • View summary level data and drill down into the relevant details in context
  • Highlight deviations in KPIs and metrics with conditional formatting
  • Get insight into process bottlenecks and inefficiencies without IT help
  • Analyze data from multiple different systems, side-by-side, in a single view
  • Share the same view and definition of metrics across functions for decision making
  • Get alerted to identify exceptions based on conditions

DiLytics Success Stories

Financial Analytics

Financial Analytics provides visibility into outstanding Receivables, Payables Trends, Profitability Management, GL Transactions & Balances. Organizations with challenges in focusing…

Read More

Procurement and Spend Analytics

Most companies typically have contractual agreements with multiple suppliers to source their purchases from many organizations that find it challenging…

Read More

Center of Excellence

Establish a BI Center of Excellence for maximum ROI DiLytics established a Business Intelligence Center of Excellence (BI COE) at…

Read More

Manufacturing Analytics

DiLytics implemented Oracle Manufacturing Analytics at a Pharmaceutical company in a short period of 100 days, enabling business users to…

Read More