Expedien helps organizations understand their business drivers—the trends, behaviors or anomalies that are affecting the business—and how to organize data collection around these drivers. Organizations then can access useful and consistent information about the enterprise and its business in order to make more informed decisions, measure performance and projects and improve relationships with key stakeholders.
Expedien offers a decade of experience not only in developing high-performance data warehouse solutions for some of the world's largest organizations, but also sophisticated, low-latency solutions that transmit highly complex data and massive volumes of data to large audiences of end-users. Our expertise with state-of-the-art tools ensures a robust yet low cost Data Warehousing solution.
Our proven DW methodology, is the foundation for implementing solutions for Fortune 1000 clients that manage very large volumes of complex data. This approach spans the Data Warehousing lifecycle that includes:
ETL - Extract, Transform and Load
Expedien places a strong emphasis on data acquisition processes. This includes sourcing, cleansing, transforming, and aggregating data using parallel technology tools to build industrial-strength ETL processes that accommodate high data volumes from disparate sources. We identify the best sources for data elements, reconstruct data when required and deploy the most appropriate tools to retrieve the data from its primary sources. Through the cleansing process, we enhance data quality by not only ensuring data accuracy, type, and consistency, but also by eliminating duplicate records.
Expedien is experienced at building a variety of data repositories, including operational data stores, data marts, data warehouses, web warehouses, and data hubs. We start by implementing and properly documenting a physical data model while at the same time ensuring that data from all functional areas is sufficiently integrated to support cross-functional analyses. We also perform databases tuning, model de-normalization, and aggregation, as necessary, to support information delivery specifications. When scalability requirements call for it, we partition and distribute data into a parallel architecture.
Data Warehousing Management
As the data warehouse grows, management of the repository is a crucial step in optimizing results and return on investment. We provide Data Warehousing administration services such as performance analysis, user analysis, benchmarking, auditing, and tuning to help clients measure the ongoing success of their data strategies.
Role of Data warehouse and Business Intelligence in Retail Industry A close look at the different retail organizational functions suggests that BI can play a crucial role in almost every function. It can give new and often surprising insights about customer behavior; thereby helping the retailers’ meet their changing needs. On the supply side, BI can help retailers identify their best vendors and determine what separates them from not so good vendors. It can give retailers better understanding of inventory and its movement and also help improve storefront operations through better category management.Download View Abstract