Data Warehousing (ETL, BI)

Data warehouses are often at the heart of the strategic reporting systems used to help manage and control the business. The function of the data warehouse is to consolidate and reconcile information from across disparate business units and IT systems and provide a context for reporting on and analyzing:

• Corporate performance management
• Profitability
• Consolidated financials
• Compliance

As strategic as they are, enterprise data warehousing projects are highly complex and can be risky. Projects fail almost as much as they succeed, often because of long development cycles, poor information quality and an inability to adapt quickly to changing business conditions or requirements.

Radish Consultants undertakes an extensive Data analysis before the design of Data warehousing. The planning process takes in to consideration Data Profiling and Data Quality as knowing what data you actually have is the natural starting point of building a successful data warehouse.

Some of the other critical steps observed by Radish Consultants in planning a successful Data warehouse strategy are:

• Data integration and reconciliation
• Data quality and Master Data Management
• Iterative delivery
• Packaged data warehousing applications
• Data warehouse / Application performance
• Deployment and change management

Business Challenges - BI Technologies

Radish Consultants provides your company with a solid support to identify and implement the best Performance Management, Business Intelligence and analytics technologies so that the organisational, financial, and operational instruments are realised in the business.

With Business intelligence techniques, we transform raw data into a meaningful and useful information for business analysis purposes. It supports a wide range of business decisions ranging from operational to strategic.

Our method of information strategy, data warehousing, data mining and information analytics services measure, analyze and optimize business performance across the entire enterprise.

We provide, implement and support our complete BI platform from data warehousing, extract- transform- load (ETL) tools to tailored end-user capabilities.

The Enterprise environment is quite volatile and some of the key challenges faced by the businesses today from the perspective of Data consolidation are:

• Silos, Diverse data sources, Data Exposition
• Due to multiple sources, there is no single version of the truth
• Time delay
• Risk

The issue is further compounded by the increasing complexity in the organization due to proliferation of multiple systems, locations, dynamics of mergers and acquisitions, etc. It is not unusual to see Senior Executives spending time in debating and resolving the data issue rather than dealing with business issues at hand.

ETL Processes –Compressing the Decision Cycle

ETL - extract, transform and load - is the set of processes by which data is extracted from numerous databases, applications and systems, transformed as appropriate, and loaded into target systems - including, but not limited to, data warehouses, data marts, analytical applications, etc.

The first part of the extract, transform and load (ETL) process is understanding the data sources. The transformations are organization-specific and Integration is sometimes included in the ETL process; because it requires an in-depth knowledge of the organization and its business.

Data Modeling. While there are modeling commonalities within a vertical industry, every organization has its own way of doing business; these unique processes should be included in the models.

Datawarehouse Design. Radish Consultants provides data warehouse design services with consultants that understand the processing requirements and have the ability to deliver high performance data warehouses.

More than half of all development work for data warehousing projects is typically dedicated to the design and implementation of ETL processes. Poorly designed ETL processes are costly to maintain, change and update, so it is critical it is to make the right choices in terms of the right technology and tools that will be used for developing and maintaining the ETL processes.