#RETAIL BI IMPLEMENTATIONS
"We help you assess technology opportunities in retail sector to address process gaps"
Analytics in retail can help you make the right decisions at the right time and give your customers what they desire, when and how they want it. We can help you design an analytics solution around your retail requirements to provide you with real-time insights into your customers, merchandizing, marketing, promotions and finances to help you and your customers with a dynamic shopping experience, and provide a unique competitive advantage.
Nomenclature has helped the clients in Retail sector with the following
#ORACLE BI IN RETAIL SECTOR
"Nomenclature uses Oracle Business Intelligence products for rich functionality delivered at high speed to minimize operating costs"
Future in Retail
Value Objective: Perform variance analysis and control expenses at various BU levels, from the highest level to all BU levels.
Benefits: Using the expense reports and being able to drill down one can see how the expense is distributed across various accounts in lower level BU's. The ability to drill down to a specific expense account and find the “offending” transactions that causes a variance.
Agent/Owners: Client Executives/ Stake Holders
OUR RETAIL REQUIREMENTS GATHERING METHODOLOGY:
Analysis
Data
Business Rules:
Reports:
Dashboards:
Client Implementation Story for a Retail client :
Client Background: Retail Client [Textile Industry]
Client Business Need: The client required an IT financial management system for budgeting and planning their IT Projects.
The Solution: As part of this initiative we recommended they go with Hyperion 11.1.2.1 Planning (EPMA).The reason we chose to implement EPMA was the client already had a Hyperion consolidation and reporting system in place and needed a tool to manage their hierarchies in one place .As you are aware Hyperion Planning is designed to increase the automation nature of the budgeting and planning process, improve accuracy and integrity of the data reported and streamline the forecasting cycle.
Benefits: This system helped IT to effectively manage their projects and keep the planning cube in sync with the consolidation system to which it was feeding data and sharing metadata off of .