Data Warehouse / Data Marts
Services
The meaning, interpretation and use of the word data warehouse have undergone an evolution, more than a decade since the term was coined by William Inmon in 1990. As conceived today, a data warehouse is a database solution designed to enable an organization to:
- Collect and maintain cleansed and consolidated business data from various operations, in a secure environment, over an extended time horizon
- Fulfill the diverse querying and reporting needs of the organization
- Synthesize information to facilitate performance management, decision making, strategic planning and execution.
Why is data warehousing important?
The goal of a data warehouse is two fold:- To increase the effectiveness and efficiency of a business operation.
- To equip managers with information to make intelligent, informed decisions that will translate into a competitive advantage.
How can Express Analytics help?
Designing and executing a successful data warehouse is a challenging initiative. Express Analytics Inc. has a distinguished experience with data warehouse implementations across diverse industries. We understand exactly what it takes to implement and maintain a successful data warehouse. Express Analytics has a proven methodology that can help our clients to minimize development costs by adoption of best practices enunciated by the Data Warehousing Institute and Data Warehousing gurus like Ralph Kimball. Typically, customers focus on visible aspects of an information reporting and analysis solution. A selection of reporting tool vendors and reporting tools is performed without consideration of information needs. Primarily, it is critical to determine critical-to-quality factors. These factors will drive the success of the technology architecture and resulting solution. At Express Analytics, we understand that data warehouse architecture and tools used to build the data warehouse are critical to create an analytical infrastructure which is resilient in the event of changes. We have built several analytical solutions that have successfully weathered subsequent mergers and acquisitions. We help our customers to build solutions right, the first time. These applications should be scalable and evolve in a changing business environment without the need for repeated rework or re-invention of the wheel. Yet these solutions don’t need to be capital intensive, however they are skill intensive and need an experienced project team.Challenges
A data warehouse project involves unique challenges like:- Sourcing data from diverse data sources into a common and query efficient data structure
- Evaluating business processes, cleansing data and fixing issues between processes and source systems
- Keeping the data warehouse current and adapt quickly to changes in business environment
- Provide traceability of data for accountability
- Transitioning querying, reporting and analysis into a self-service function for an end-user
- Understanding business goals and creating analytical solutions to ensure real-time information availability in a lucid and intuitive format
- Validating and maintaining the quality of data
Benefits
- Ability to drive superior organizational performance
- Cost cutting by streamlining the process of generating required information and reports
- Allocation of executive time to decision-making and planning; away from data collection, validation and generation leading to management by exception
- Compliance with legal and regulatory directives such as the Sarbanes-Oxley Act
- Availability of timely, accurate and reliable information
- Provision of complex analytical tools like digital dashboards and balanced score cards
- Improved business processes
» Data Warehouse / Data Marts
» Data Mining and Predictive Analysis
» Corporate Reporting and Analysis
» Master Data Management
» Budget Planning and Forecasting
» Corporate Performance Management
