10+ NRSM & Associates Interview Questions and Answers

The print, pick, pack process in the software involves generating a print order, picking the items from the warehouse, and packing them for shipment.

• The process starts with generating a print order which includes the details of the items to be picked and packed.

• The warehouse staff then picks the items from their respective locations in the warehouse based on the print order.

• Once all the items are picked, they are brought to the packing area where they are packed securely for ...read more

Orders will be sent automatically to the warehouse.

• Orders will be received automatically through the system.

• The sales team will not have to manually send orders to the warehouse.

• This will ensure faster processing and delivery of orders.

• Automated system will reduce the chances of errors in order processing.

Yes, the system maintains a record of all inventory audits.

• The inventory audit history can be accessed through the system's reporting feature.

• The history includes details such as date, time, auditor, and any discrepancies found.

• This information can be used to identify trends and improve inventory management processes.

• For example, if a particular item consistently shows discrepancies, it may indicate a need for better tracking or reordering procedures.

Data warehouse is a repository of historical data while operational systems are used for day-to-day operations.

• Operational systems are used for transactional processing while data warehouses are used for analytical processing.

• Data warehouses are designed for querying and reporting while operational systems are designed for data entry and retrieval.

• Operational systems are optimized for performance while data warehouses are optimized for query performance.

• Data warehouses integr...read more

There are three types of data warehousing: Enterprise Data Warehouse, Operational Data Store, and Data Mart.

• Enterprise Data Warehouse (EDW) is a centralized repository that stores data from various sources and provides a comprehensive view of the organization's data.

• Operational Data Store (ODS) is a database that stores real-time or near real-time data from operational systems and serves as a staging area for data integration.

• Data Mart is a subset of a data warehouse that foc...read more

Inventory count is managed through various methods such as cycle counting, physical counting, and using inventory management systems.

• Cycle counting involves regularly counting a portion of inventory items to ensure accuracy.

• Physical counting involves physically counting all inventory items on a periodic basis.

• Inventory management systems use technology to track and manage inventory levels in real-time.

• Barcoding and scanning systems can be used to streamline the inventory coun...read more

A data warehouse provides numerous benefits for organizations, including improved decision-making, data analysis, and operational efficiency.

• Improved decision-making: Data warehouses consolidate and organize data from various sources, enabling users to make informed decisions based on accurate and reliable information.

• Data analysis: Data warehouses facilitate complex data analysis and reporting, allowing organizations to gain valuable insights and identify trends and patterns...read more

Data analytics is the process of examining and interpreting data to gain insights and make informed decisions.

• It involves collecting and analyzing large sets of data

• It helps in identifying patterns and trends

• It is used in various industries such as finance, healthcare, and marketing

• Examples include customer segmentation, predictive maintenance, and fraud detection

Yes, inventory audit history is recorded in the system.

• We maintain a detailed record of all inventory audits conducted.

• This helps us track any discrepancies and take corrective action.

• The audit history is regularly reviewed to ensure accuracy and compliance.

• Examples of audit records include date, time, auditor, location, and items audited.

Aggregate tables are summary tables that store pre-calculated values to improve query performance in data warehousing.

• Aggregate tables contain summarized data from multiple source tables.

• They are used to speed up query performance by reducing the amount of data that needs to be processed.

• Aggregate tables can be created at different levels of granularity, such as daily, weekly, or monthly.

• They often include aggregated measures like sums, averages, or counts.

• For example, in a s...read more